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Pro accounts get incredibly strong security, with end-to-end encryption.", "one_liner": "Really secure file sending for big files.", "team_size": 2, "industry": "B2B", "subindustry": "B2B -> Productivity", "launched_at": 1322045564, "tags": [ "Security", "Enterprise" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2012", "status": "Inactive", "industries": [ "B2B", "Productivity" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/wireover", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2012/wireover.json", "year_founded": null, "city": "Boston", "country": "US", "linkedin_url": null, "x_url": null, "fb_url": null, "cb_url": "https://www.crunchbase.com/organization/wireover", "github_url": null, "logo_url": null, "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": null, "founders": [ { "user_id": 53900, "full_name": "Amit Bansil", "title": "Founder/CPO", "founder_bio": "Amit is a Boston-based computer programmer who started out writing interactive chemistry simulation tools in the late ‘90s. Since then, he has worked on software for everything from dispatching trucks to preventing adolescent substance abuse. 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Our complete online business SMS messaging solution helps thousands of companies communicate more effectively with on-the-go workforces, customers, and more. \r\n\r\nSendHub is a Y-Combinator graduate, and is backed by Menlo Ventures, Kapor Capital, 500 startups, the Seraph Group, Paul Buchheit, Eric Ries, Jawed Karim and Jeb Bush.", "one_liner": "Simple Business SMS. 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Our marketplace gives scientists access to the innovation and research they need and our platform fully automates R&D outsourcing from source to pay so scientists can focus on what they love—science.", "one_liner": "Powering scientific outsourcing", "team_size": 50, "industry": "Healthcare", "subindustry": "Healthcare -> Healthcare Services", "launched_at": 1326789132, "tags": [ "SaaS", "Health Tech", "Biotech", "Enterprise" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2011", "status": "Acquired", "industries": [ "Healthcare", "Healthcare Services" ], "regions": [ "United States of America", "America / Canada", "Remote", "Fully Remote" ], "stage": "Growth", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/science-exchange", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2011/science-exchange.json", "year_founded": 2011, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/science-exchange", "x_url": "https://twitter.com/scienceexchange", "fb_url": "https://www.facebook.com/scienceexchange/", "cb_url": "https://www.crunchbase.com/organization/science-exchange", "github_url": "https://github.com/scienceexchange", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/0db3228fbd884724c2ad75aeac20b60376478518.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": null, "founders": [ { "user_id": 23720, "full_name": "Elizabeth Iorns", "title": "Founder/President & CEO; Chairman of the Board", "founder_bio": null, "is_active": true, "linkedin_url": "https://www.linkedin.com/in/elizabethiorns/", "x_url": null, "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/c506e33f53086e59c43d0292a563e061ea9a95b2.jpg" }, { "user_id": 23721, "full_name": "Dan Knox", "title": "Founder/COO", "founder_bio": null, "is_active": true, "linkedin_url": "https://www.linkedin.com/in/djkn0x/", "x_url": null, "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/6f76694e71b0a9632d0bff1f360a80fe869dff69.jpg" } ], "jobs": [], "news": [], "launches": [] }, { "id": 136, "name": "TellFi", "slug": "tellfi", "former_names": [], "small_logo_thumb_url": "/company/thumb/missing.png", "website": "http://tellfi.com", "all_locations": "San Francisco, CA, USA", "long_description": "Fastest, easiest way to setup a phone system for your business.\n\nWe take something that has traditionally been painful and expensive, and make it available to everyone.\n\nThe easiest way to set up a phone system for your business.\n\nAll the features you want in a business phone system – including extensions, forwarding & voicemail – online for as little as $10 a month.", "one_liner": "Google Voice for business.", "team_size": 2, "industry": "B2B", "subindustry": "B2B -> Productivity", "launched_at": 1326789692, "tags": [ "Messaging", "Enterprise" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2011", "status": "Inactive", "industries": [ "B2B", "Productivity" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/tellfi", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2011/tellfi.json", "year_founded": null, "city": "San Francisco", "country": "US", "linkedin_url": null, "x_url": null, "fb_url": null, "cb_url": "https://www.crunchbase.com/organization/tellfi", "github_url": null, "logo_url": null, "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": null, "founders": [ { "user_id": 33970, "full_name": "Jason Corwin", "title": "Founder/CEO", "founder_bio": "Co-founder and CEO @ Safely Finance (YC S19). TellFi (YC W11). Father, husband. Virginia Tech alum. Former volunteer firefighter. I've consulted for Apple, MLBAM (Advanced Media), Beats Audio and others in the past.", "is_active": false, "linkedin_url": "https://www.linkedin.com/in/jsoncorwin/", "x_url": "https://twitter.com/jsoncorwin/", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/45fcb9cdeeec6f959235ce547622484c3bd16e7e.jpg" }, { "user_id": 5701, "full_name": "Conor Lee", "title": "Founder", "founder_bio": "4x founder. Bootstrapped Hiplead to $8M ARR. Currently helping people see their future selves at Afters.me\n", "is_active": false, "linkedin_url": "https://linkedin.com/in/conorlee", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/0061a9d3717c6ad1f430193c152700e0e8bb0963.jpg" }, { "user_id": 5695, "full_name": "Zain Memon", "title": "Co-founder", "founder_bio": "CEO of Eureka (Khosla-backed). 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Also Google, Voltage Security (acq. by HP), Trulia (IPO), and Opendoor (IPO), where I was Deputy Chief of Staff to the CEO from 92 to 2,500 people.", "is_active": false, "linkedin_url": "https://linkedin.com/in/zainm", "x_url": "https://x.com/zainy", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/9a0ea4e4449cf9dfe3ca112914b83e46a9d483b1.jpg" } ], "jobs": [], "news": [], "launches": [] }, { "id": 183, "name": "AeroFS", "slug": "aerofs", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/26b425639c740c8e014304e1ad6412f83c2d1dba.png", "website": "http://aerofs.com", "all_locations": "San Francisco, CA, USA", "long_description": "AeroFS enterprise file sync and share & collaboration solution deploys on your infrastructure. Your files remain secured by your own security protocols, removing the risk associated with relying on your vendors to secure your data.\r\n\r\nThe service has a Dropbox like user experience. Now, both the end user and the IT team can both get what they are looking for out of a file sharing tool.\r\n\r\nWe are funded by some of Silicon Valley's best investors and entrepreneurs:\r\n\r\nAvalon Ventures\r\nA16Z Seed\r\nYCombinator\r\nSVAngel\r\nChris Sacca (Lowercase Capital)\r\nMaynard Webb (COO eBay)\r\nJerry Yang (Founder Yahoo!)\r\nPaul Buchheit (Founder FriendFeed)\r\n\r\nWe're hiring! https://aerofs.com/company/careers\r\nYou will have the opportunity to work as part of a small team. This means that you will be \"CEO\" of whatever you create. Our size gives us agility in ways that large companies do not have: We push out code almost daily (on a desktop platform!) to thousands of users.\r\n\r\nWe're not just building a company; we're building a family. Many of us are new to the area, so company trips, get togethers, and BBQs are par for the course!", "one_liner": "Secure Enterprise Collaboration.", "team_size": 40, "industry": "B2B", "subindustry": "B2B -> Infrastructure", "launched_at": 1326790113, "tags": [ "Collaboration", "Security", "Enterprise" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2010", "status": "Acquired", "industries": [ "B2B", "Infrastructure" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Growth", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/aerofs", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2010/aerofs.json", "year_founded": null, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/aerofs", "x_url": "", "fb_url": null, "cb_url": "https://www.crunchbase.com/organization/aerofs", "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/26b425639c740c8e014304e1ad6412f83c2d1dba.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": null, "founders": [ { "user_id": 469, "full_name": "Yuri Sagalov", "title": "Founder/CEO", "founder_bio": "Engineer, founder (YC S10), former YC partner (2014-2019) and now investor. \n\nI run early stage investing at General Catalyst (investors in Stripe, Anthropic, Airbnb, Legora, and many more). Previously I was the founder and Managing Partner of Wayfinder (seed investor in Supabase, Browserbase, Decagon, Legora, and many others). \n\nYC is my home. 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From shared passwords to user provisioning, Meldium is a central dashboard that connects to every cloud app and makes it simple to create, edit and remove user accounts across all of them. All without IT.", "one_liner": "Simple password & identity management for teams. Acquired by LogMeIn…", "team_size": 4, "industry": "B2B", "subindustry": "B2B -> Productivity", "launched_at": 1354492800, "tags": [ "Security", "Enterprise" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2013", "status": "Acquired", "industries": [ "B2B", "Productivity" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/meldium", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2013/meldium.json", "year_founded": 2012, "city": "San Francisco", "country": "US", "linkedin_url": "", "x_url": "", "fb_url": null, "cb_url": "https://www.crunchbase.com/organization/meldium", "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/e01b3234d6048fe3e9f02ccbc928599dc7005921.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": null, "founders": [ { "user_id": 8445, "full_name": "Boris Jabes", "title": "Founder/CEO", "founder_bio": "Visiting Partner @ YC. \n\nPreviously co-founder/CEO at Census, which built data activation for data warehouses (acquired by Fivetran) and co-founder/CEO of Meldium (YC W13) that built one of the first password managers for teams. Before that, worked on Visual Studio (Code) at Microsoft.", "is_active": true, "linkedin_url": "https://linkedin.com/in/borisjabes", "x_url": "https://twitter.com/borisjabes", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/1303565480b01a656e156d80407b991ca62ae8c1.jpg" }, { "user_id": 14164, "full_name": "Brad Buda", "title": "Founder", "founder_bio": "Co-Founder of Census: https://getcensus.com\n\nFormerly Meldium (YC W13), TrackSimple, AWS CloudWatch\n", "is_active": false, "linkedin_url": "https://www.linkedin.com/in/bradleybuda/", "x_url": "https://twitter.com/bradleybuda", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/0e7d5dc0567b7dac9949fac72ed96a5064d3bb52.jpg" }, { "user_id": 32250, "full_name": "Anton Vaynshtok", "title": "Founder", "founder_bio": null, "is_active": true, "linkedin_url": "https://www.linkedin.com/in/avaynshtok/", "x_url": null, "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/9166078690b36c5e8175f4e79a397c9d945980f4.jpg" } ], "jobs": [], "news": [], "launches": [] }, { "id": 513, "name": "Airware", "slug": "airware", "former_names": [], "small_logo_thumb_url": "/company/thumb/missing.png", "website": "http://airware.com", "all_locations": "San Francisco, CA, USA", "long_description": "Airware offers commercial drone solutions, enabling enterprises to take full advantage of aerial data for any business application. 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$300K", "equity_range": "", "experience": "8+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 115225, "title": "Commercial Sales Leader", "url": "https://www.ycombinator.com/companies/roboflow/jobs/g6vrcb2-commercial-sales-leader", "location": "New York, NY / Remote (US)", "type": "Full-time", "role": "Sales", "role_type": null, "salary_range": "", "equity_range": "", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] }, { "id": 115226, "title": "Sales Development Leader", "url": "https://www.ycombinator.com/companies/roboflow/jobs/OApjfgK-sales-development-leader", "location": "New York, NY", "type": "Full-time", "role": "Sales", "role_type": null, "salary_range": "", "equity_range": "", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] }, { "id": 115227, "title": "Member of Operations Staff", "url": "https://www.ycombinator.com/companies/roboflow/jobs/p8eWmbE-member-of-operations-staff", "location": "San Francisco", "type": "Full-time", "role": "Operations", "role_type": null, "salary_range": "$150K - $300K", "equity_range": "", "experience": "8+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 115228, "title": "Product Engineer", "url": "https://www.ycombinator.com/companies/roboflow/jobs/ig155YM-product-engineer", "location": "Remote (US)", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "", "equity_range": "", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] }, { "id": 115229, "title": "Machine Learning Engineer - Inference Maintainer & Developer Experience", "url": "https://www.ycombinator.com/companies/roboflow/jobs/DdWhi8F-machine-learning-engineer-inference-maintainer-developer-experience", "location": "NY, SF or Remote / Remote (US)", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "", "equity_range": "", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] }, { "id": 115230, "title": "People and Office Coordinator", "url": "https://www.ycombinator.com/companies/roboflow/jobs/tqLTIsm-people-and-office-coordinator", "location": "New York, NY", "type": "Full-time", "role": "Recruiting & HR", "role_type": "Recruiter", "salary_range": "", "equity_range": "", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] }, { "id": 115231, "title": "Member of Technical Staff", "url": "https://www.ycombinator.com/companies/roboflow/jobs/6PHHl5B-member-of-technical-staff", "location": "San Francisco", "type": "Full-time", "role": "Operations", "role_type": null, "salary_range": "$150K - $300K", "equity_range": "", "experience": "8+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 115232, "title": "Member of Operations Staff", "url": "https://www.ycombinator.com/companies/roboflow/jobs/tl77kqX-member-of-operations-staff", "location": "San Francisco", "type": "Full-time", "role": "Operations", "role_type": null, "salary_range": "$150K - $300K", "equity_range": "", "experience": "8+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 115233, "title": "Infrastructure Engineer", "url": "https://www.ycombinator.com/companies/roboflow/jobs/TwjDlPD-infrastructure-engineer", "location": "NY, SF or Remote / Remote (US)", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "", "equity_range": "", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] }, { "id": 115234, "title": "Solutions Architect", "url": "https://www.ycombinator.com/companies/roboflow/jobs/TE8f9W5-solutions-architect", "location": "NY, SF or Remote / Remote (US)", "type": "Full-time", "role": "Operations", "role_type": null, "salary_range": "", "equity_range": "", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] }, { "id": 115235, "title": "Strategic Projects Lead", "url": "https://www.ycombinator.com/companies/roboflow/jobs/7veCk1u-strategic-projects-lead", "location": "San Francisco", "type": "Full-time", "role": "Operations", "role_type": null, "salary_range": "$150K - $300K", "equity_range": "", "experience": "5+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 115236, "title": "Research Scientist", "url": "https://www.ycombinator.com/companies/roboflow/jobs/oUdZdLb-research-scientist", "location": "San Francisco", "type": "Full-time", "role": "Operations", "role_type": null, "salary_range": "$250K - $450K", "equity_range": "", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] }, { "id": 115237, "title": "Growth Lead", "url": "https://www.ycombinator.com/companies/roboflow/jobs/7LN7KWF-growth-lead", "location": "San Francisco", "type": "Full-time", "role": "Operations", "role_type": null, "salary_range": "$150K - $300K", "equity_range": "", "experience": "5+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 115238, "title": "Senior Software Engineer", "url": "https://www.ycombinator.com/companies/roboflow/jobs/4fq294j-senior-software-engineer", "location": "San Francisco", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$250K - $400K", "equity_range": "", "experience": "5+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 115239, "title": "Business Development", "url": "https://www.ycombinator.com/companies/roboflow/jobs/rRNpuyW-business-development", "location": "San Francisco", "type": "Full-time", "role": "Sales", "role_type": null, "salary_range": "", "equity_range": "", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] }, { "id": 115240, "title": "Customer Success Engineer", "url": "https://www.ycombinator.com/companies/roboflow/jobs/mZ5gJag-customer-success-engineer", "location": "Remote (US)", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "", "equity_range": "", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] }, { "id": 115241, "title": "Head of Delivery", "url": "https://www.ycombinator.com/companies/roboflow/jobs/atdGtYP-head-of-delivery", "location": "Remote (US)", "type": "Full-time", "role": "Operations", "role_type": null, "salary_range": "", "equity_range": "", "experience": "5+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 115242, "title": "Head of Partnerships", "url": "https://www.ycombinator.com/companies/roboflow/jobs/yafX60b-head-of-partnerships", "location": "Remote (US)", "type": "Full-time", "role": "Sales", "role_type": null, "salary_range": "", "equity_range": "", "experience": "5+ years", "visa": "US citizen/visa only", "skills": [] } ], "news": [ { "title": "Exclusive: Roboflow, vision AI startup, raises $40 million Series B | Fortune", "url": "https://fortune.com/2024/11/19/exclusive-roboflow-vision-ai-startup-raises-40-million-series-b/", "date": "Nov 19, 2024" }, { "title": "Computer vision dev platform Roboflow raises $20M | VentureBeat", "url": "https://venturebeat.com/2021/09/16/computer-vision-dev-platform-roboflow-raises-20m/", "date": "Sep 16, 2021" }, { "title": "Roboflow raises $2.1M for its end-to-end computer vision platform – TechCrunch", "url": "https://techcrunch.com/2021/01/12/roboflow-raises-2-1m-for-its-end-to-end-computer-vision-platform/", "date": "Jan 12, 2021" } ], "launches": [] }, { "id": 21885, "name": "Swif.ai", "slug": "swif-ai", "former_names": [ "BlaBla EdTech", "BlaBla Live", "Swifteam", "Inc.", "Swifteam", "Swif" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/3f00f6931229f64701cd737b9839f92f72e20005.png", "website": "https://www.swif.ai", "all_locations": "San Francisco, CA, USA", "long_description": "Swif.ai is the Unified Agent & Endpoint Management (UAEM)\r\n\r\nManage every device. Govern every AI agent.\r\n\r\nOne control plane for device management, AI-agent governance, continuous enforcement, and autonomous remediation.", "one_liner": "Manage every device. Govern every AI agent.", "team_size": 20, "industry": "B2B", "subindustry": "B2B -> Security", "launched_at": 1597360094, "tags": [ "SaaS", "B2B", "Compliance", "Security", "Enterprise" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Summer 2020", "status": "Active", "industries": [ "B2B", "Security" ], "regions": [ "United States of America", "America / Canada", "Remote", "Partly Remote" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": [ { "question": "How did your company get started? (i.e., How did the founders meet? How did you come up with the idea? How did you decide to be a founder?)", "answer": "We have 10 people on the team. I was the co-founder of LeadIQ, the leading sales intelligence platform. I managed a fast-growing team of 50 remote employees and onboarded everyone while creating a platform that handled millions of dollars every year. Mert is the CTO and he has over 10 years of experience building device security. Mert and I have both experienced issues of device security and Mert has been building a similar solution for the past 5 years. Jeremy is our sales. He was a former YC founder and recently joined us to drive our sales. He used to host virtual YC demo days." }, { "question": "How did you decide to apply to Y Combinator? What was your experience applying, going through the batch, and fundraising at demo day?", "answer": "Our batch mentor guided us on product iteration and helped us with pitch practices. We genuinely appreciate Tim, Aaron, and Kevin’s mentorship to help us grow!" }, { "question": "How have you kept in touch with the YC community and continued to use YC resources & programs since the batch ended?", "answer": "We worked with many YC companies to help with their device management and compliance needs. We also launched our own YC deal to help new YC batch companies can quickly ramp up their remote device management." }, { "question": "What's the history of your company from getting started until the present day? What were the big inflection points?", "answer": "In 2022, we discovered the power of ChatGPT and realized that we can leverage its platform to simplify device management and remote employee management. This was the pivot point of our product." }, { "question": "What is the core problem you are solving? Why is this a big problem? What made you decide to work on it?", "answer": "Swif is revolutionizing device security with AI, 
we are the first to eliminate the Shadow IT problem—empowering businesses with complete control, visibility, and security." }, { "question": "What is your long-term vision? If you truly succeed, what will be different about the world?", "answer": "Revolutionizing device security with AI, we are the first to eliminate the Shadow IT problem—empowering businesses with complete control, visibility, and security." } ], "url": "https://www.ycombinator.com/companies/swif-ai", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2020/swif-ai.json", "year_founded": 2022, "city": "San Francisco", "country": "US", "linkedin_url": "https://linkedin.com/company/swifai", "x_url": "https://twitter.com/swif_ai", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/3f00f6931229f64701cd737b9839f92f72e20005.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/3839e1d62757afb3dd90cb7cf0063aa8fa3b4023.png" ], "primary_partner": null, "founders": [ { "user_id": 28055, "full_name": "Angelo (KC) Huang", "title": "Founder", "founder_bio": "Swif.ai is the Security & Compliance UEM.\n\nEvery other MDM is great if you have basic requirements, but if you have security concerns and real compliance requirements, you need something more sophisticated that can handle that.\n\nSwif UEM for when you have real security and compliance concerns.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/angelokh", "x_url": "https://twitter.com/angeloh", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/ec27dd6866a09d79b48f7388daef8f230c28296f.jpg" } ], "jobs": [ { "id": 45031, "title": "Backend Developer (Scala/Java)", "url": "https://www.ycombinator.com/companies/swif-ai/jobs/VoDI7UY-backend-developer-scala-java", "location": "Taiwan / United States / Canada / Singapore / VN / ID / Remote (Taiwan; United States; Canada; Singapore; VN; ID)", "type": "Full-time", "role": "Engineering", "role_type": "Backend", "salary_range": "$40K - $70K", "equity_range": "0.10% - 1.00%", "experience": "3+ years", "visa": "US citizenship/visa not required", "skills": [ "Java", "MongoDB", "Python", "Redis", "Scala", "Docker" ] }, { "id": 49868, "title": "DevOps Engineer", "url": "https://www.ycombinator.com/companies/swif-ai/jobs/094hpfh-devops-engineer", "location": "Taiwan / VN / ID / TR / Remote (Taiwan; VN; ID; TR)", "type": "Contract", "role": "Engineering", "role_type": "Devops", "salary_range": "$30K - $50K", "equity_range": "0.10% - 0.50%", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [ "Amazon Web Services (AWS)", "Git", "Google Cloud", "Kubernetes", "Docker" ] }, { "id": 50579, "title": "Frontend Engineer (Vue, Browser Extensions, AI Agent)", "url": "https://www.ycombinator.com/companies/swif-ai/jobs/aDnRu3L-frontend-engineer-vue-browser-extensions-ai-agent", "location": "TW / CA / VN / JP / KR / ID / Remote (TW; CA; VN; JP; KR; ID)", "type": "Full-time", "role": "Engineering", "role_type": "Frontend", "salary_range": "$40K - $60K", "equity_range": "0.10% - 0.50%", "experience": "1+ years", "visa": "US citizenship/visa not required", "skills": [ "CSS", "HTML", "JavaScript", "React", "Vue.js" ] }, { "id": 53124, "title": "Backend Engineer (Golang)", "url": "https://www.ycombinator.com/companies/swif-ai/jobs/bAPaF28-backend-engineer-golang", "location": "TW / US / CA / SG / ID / VN / MY / TR / Remote (TW; US; CA; SG; ID; VN; MY; TR)", "type": "Full-time", "role": "Engineering", "role_type": "Backend", "salary_range": "$40K - $70K", "equity_range": "0.10% - 0.25%", "experience": "3+ years", "visa": "US citizenship/visa not required", "skills": [ "Go", "Distributed Systems" ] }, { "id": 55001, "title": "Software Testing Engineer (QA)", "url": "https://www.ycombinator.com/companies/swif-ai/jobs/rm6wwJu-software-testing-engineer-qa", "location": "TW / VN / Remote (TW; VN)", "type": "Full-time", "role": "Engineering", "role_type": "QA engineer", "salary_range": "$30K - $50K", "equity_range": "0.10% - 0.50%", "experience": "1+ years", "visa": "US citizenship/visa not required", "skills": [ "GraphQL", "Linux", "Windows", "MacOS" ] }, { "id": 55966, "title": "Full-Cycle Sales AE", "url": "https://www.ycombinator.com/companies/swif-ai/jobs/9H1KM0B-full-cycle-sales-ae", "location": "Sunnyvale, CA, US / Remote (US)", "type": "Full-time", "role": "Sales", "role_type": null, "salary_range": "$30K - $60K", "equity_range": "0.50% - 1.00%", "experience": "1+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 61955, "title": "Sales Intern [Summer 2026]", "url": "https://www.ycombinator.com/companies/swif-ai/jobs/iz7AKOn-sales-intern-summer-2026", "location": "US / Remote (US)", "type": "Internship", "role": "Sales", "role_type": null, "salary_range": "$300 - $1K", "equity_range": "0.01%", "experience": null, "visa": "US citizen/visa only", "skills": [] }, { "id": 62132, "title": "Full Stack Software Engineer Intern [Summer 2026]", "url": "https://www.ycombinator.com/companies/swif-ai/jobs/dcyipuS-full-stack-software-engineer-intern-summer-2026", "location": "US / TW / Remote (US; TW)", "type": "Internship", "role": "Operations", "role_type": null, "salary_range": "$500 - $2K / monthly", "equity_range": "0.01%", "experience": null, "visa": "US citizen/visa only", "skills": [ "Linux", "Windows", "MacOS" ] }, { "id": 77904, "title": "Sales Development Representative (SDR)", "url": "https://www.ycombinator.com/companies/swif-ai/jobs/lbbQXJj-sales-development-representative-sdr", "location": "US / CA / Remote (US; CA)", "type": "Full-time", "role": "Sales", "role_type": null, "salary_range": "$40K - $80K", "equity_range": "0.01%", "experience": "1+ years", "visa": "US citizen/visa only", "skills": [] } ], "news": [ { "title": "What's New: TrustClaw Consumer Onboarding", "url": "https://feedback.swif.ai/changelog/whats-new-trustclaw-consumer-onboarding", "date": "Jun 23, 2026" }, { "title": "TrustClaw Enterprise Onboarding", "url": "https://feedback.swif.ai/changelog/trustclaw-enterprise-onboarding", "date": "Jun 23, 2026" }, { "title": "Founder Note: Swif.ai Statement on Stryker's Microsoft Intune MDM Attacks Wiping 200,000 devices", "url": "https://news.swif.ai/p/founder-note-swif-statement-on-the-stryker-intune-attacks-wiping-200-000-devices", "date": "Mar 22, 2026" }, { "title": "Swif.ai Is Now Live in the EU 🇪🇺 — EU Data Residency Is Here", "url": "https://news.swif.ai/p/swif-ai-is-now-live-in-the-eu-eu-data-residency-is-here", "date": "Mar 16, 2026" }, { "title": "The Stryker Wipe: What 200,000 Lost Devices Teach Us About MDM Blast Radius Protection | Swif", "url": "https://www.swif.ai/blog/stryker-wipe-lessons-about-mdm-blast-radius-protection", "date": "Mar 13, 2026" } ], "launches": [ { "id": 84069, "title": "Swif: Solve Shadow IT with our Chrome extension", "tagline": "Gain full control over Shadow IT—track, secure, and manage unauthorized apps with ease using Swif's Chrome Extension.", "body": "![uploaded image](/media/?type=post&id=84069&key=user_uploads/28055/554bc23e-0c52-44e5-b8e5-d956361fc467)\n\nHey, YC community! We’re the team at [Swif](https://www.swif.ai?utm_source=yclaunch), and we're excited to introduce our **Swif Chrome Extension**, designed to solve the growing issue of Shadow IT in organizations. As businesses scale, it's easy for employees to start using unauthorized SaaS apps, creating security and compliance risks that IT teams struggle to monitor.\n\n**What’s the problem?** Shadow IT refers to apps and services used by employees without IT’s knowledge or approval. This often leads to unmonitored data access, increasing the risk of breaches, non-compliance, and lost productivity. Even well-managed IT teams find it hard to track all software being used across departments.\n\n**How does Swif’s Chrome Extension fix this?** Our Chrome Extension helps you automatically identify and monitor employee access to unauthorized SaaS apps. With **real-time visibility**, Swif detects email and password sign-ups to unapproved apps, enabling IT teams to track usage, ensure compliance, and take action quickly—before a security risk escalates. The extension fits seamlessly into your existing IT workflow, providing a single dashboard for comprehensive oversight.\n\nSwif’s strength lies in its automation. Instead of manually hunting down unapproved apps, our extension monitors usage, generates compliance reports, and offers automated solutions for securing access. This gives you control without adding complexity, saving both time and resources.\n\n![uploaded image](/media/?type=post&id=84069&key=user_uploads/28055/13b44543-ebbc-4d61-ad14-5dd5150a1dd1)\n\n**Why did we build it?** The idea came from our experience working with companies overwhelmed by Shadow IT problems. We saw firsthand how much of a challenge it is to maintain visibility over what employees are using, especially in remote and hybrid work environments. Our mission was to create a tool that does the heavy lifting for IT departments, making it easier to manage without sacrificing security or efficiency.\n\n**What’s next?** We’re excited to offer early access to the Swif Chrome Extension! If you’re managing a fleet of devices or overseeing IT security, sign up to be among the first to try our solution and take control of Shadow IT.\n\n**Call to Action**: Ready to tackle Shadow IT? [Create a Swif account](https://app.swif.ai/chromeextension?utm_source=yclaunch), download the extension, and start managing your apps with ease!", "url": "https://www.ycombinator.com/launches/Lrx-swif-solve-shadow-it-with-our-chrome-extension", "votes": 6, "created_at": "2024-09-17T02:14:17.061Z" }, { "id": 70930, "title": "Swif.ai - Compliance-First Device Security", "tagline": "The YC's Get Start Package for MDM & Compliance Automation", "body": "### **⛔️The problem**\n\n1. Fragmented device management across multiple operating systems and locations.\n2. Time-consuming manual compliance checks and reporting for various regulatory standards.\n3. Inefficient onboarding and offboarding processes for remote and global teams.\n4. Lack of visibility into shadow IT and unauthorized SaaS application usage.\n\n### **🚀The solution**\n\n[Swif.ai](http://Swif.ai) offers a comprehensive solution for device security, compliance management, and IT administration across Linux, Windows, and macOS. It automates patch management for various compliance frameworks, provides real-time compliance status reports, and enables remote device control. Swif's all-in-one platform integrates with HR systems, simplifying employee onboarding and offboarding processes while offering cost-effective access management compared to traditional SSO solutions.\n\n**Customer Benefits**\n\n1. Unified visibility and control over all organizational devices, regardless of operating system or location.\n2. Significant time savings through automated compliance readiness checks and real-time reporting.\n3. Enhanced security posture with the ability to instantly lock or wipe compromised devices remotely.\n4. Reduced IT overhead by consolidating device management, access control, and compliance tools into a single platform.\n\n### **🛠️How it works**\n\nThe setup is extremely easy. Here is 1 min get started video.\n\n![uploaded image](/media/?type=post&id=70930&key=user_uploads/28055/12d9aeea-cdbe-4734-a6d9-441a31135956)\n\n### **✅Our asks**\n\n* Check out our [**website**](https://www.swif.ai) – play around with our **interactive demo**\n* [**Sign up**](https://app.swif.ai/) and use Swif — it’s free.\n* [**Reach out**](https://www.swif.ai/) if you’re interested in a live demo", "url": "https://www.ycombinator.com/launches/IS2-swif-ai-compliance-first-device-security", "votes": 17, "created_at": "2023-04-13T00:24:25.556Z" }, { "id": 66625, "title": "Swif - One-stop device management and security", "tagline": "Order, equip, manage your devices for your distributed teams", "body": "Hello, everyone! This is [Angelo](https://www.linkedin.com/in/angelokh/) here to introduce [Swif](https://www.swif.ai?utm_source=yc&utm_medium=launch&utm_campaign=yc_launch)!\n\n❌ **The Problem**\n\nIn my last startup LeadIQ, I managed 2 remote teams in the US and Singapore. It was really painful to manage devices and cloud app access for employees in different locations. We wanted a better understanding of company devices and employee’s cloud app access, and we used a giant Excel sheet to solve this problem, only to find that the solution can not scale. We took time to find solutions to set up, configure, and then discover that the capabilities of each solution were incomplete or buggy. Companies were wasting money and time. The challenges were real, painful and increased company risks. Employee onboarding and offboarding were a nightmare.\n\n✨ **Our Solution**\n\nSwif helps distributed teams manage their devices, purchase new ones, and retrieve them when employees leave the company. \n\n![uploaded image](/media/?type=post&id=66625&key=user_uploads/28055/4b87f21a-cf0d-4381-b7ba-286c4c293b40)\n\nWhy do we need a new solution for device management?\n\nYou might work in California but have team members distributed in Texas, New York, Paris, and Singapore. Things like these might occur to you:\n\n1. Sending, retrieving, and storing devices for remote teams is painful. \n2. Losing data for security risks could keep you up at night.\n3. Employee data is across multiple platforms, eg. Gusto and Deel, and have no audit trails of who owns which devices.\n\n👉 **Next steps**\n\n1. Sign up for [Swif](https://www.swif.ai?utm_source=yc&utm_medium=launch&utm_campaign=yc_launch) and subscribe with promo code ‘ycdeal’ to enjoy one-year free premium features.\n2. Import your employees from your HRIS. We currently support 30 HRIS connections!\n3. Follow the Quick Start to set up your system to enroll devices and link us to your Apple business manager.\n\nWant to start taking control of your remote fleet? \n\nVisit us at or reach out to us at [support@swif.ai](https://mailto:support@swif.ai).", "url": "https://www.ycombinator.com/launches/HKb-swif-one-stop-device-management-and-security", "votes": 32, "created_at": "2022-10-11T17:09:59.715Z" } ] }, { "id": 22082, "name": "Laylo", "slug": "laylo", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/bb78f80434f450bb2cb261fa10cb242ca6510307.png", "website": "https://laylo.com", "all_locations": "Los Angeles, CA, USA; Remote", "long_description": "Laylo powers drops for the world’s biggest musicians and events. The platform combines landing pages, messaging, link tracking, and more to drive sales and streams around the most important moments in entertainment.", "one_liner": "The CRM powering iconic musicians and events", "team_size": 24, "industry": "B2B", "subindustry": "B2B -> Marketing", "launched_at": 1614630606, "tags": [ "SaaS", "Messaging", "Enterprise", "CRM", "Creator Economy" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Summer 2020", "status": "Active", "industries": [ "B2B", "Marketing" ], "regions": [ "United States of America", "America / Canada", "Remote", "Fully Remote" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/laylo", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2020/laylo.json", "year_founded": 2017, "city": "Los Angeles", "country": "US", "linkedin_url": "https://www.linkedin.com/company/laylo1", "x_url": "https://twitter.com/laylodotcom", "fb_url": null, "cb_url": "https://www.crunchbase.com/organization/laylo", "github_url": "https://github.com/Laylo", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/bb78f80434f450bb2cb261fa10cb242ca6510307.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Aaron Epstein", "url": "https://www.ycombinator.com/people/aaron-epstein" }, "founders": [ { "user_id": 11879, "full_name": "Alec Ellin", "title": "Founder", "founder_bio": "CEO at Laylo", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/alec-ellin/", "x_url": "https://twitter.com/AlecEllin", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/1d59341c46a1e22a9892bb366ecf838e55021c61.jpg" }, { "user_id": 169676, "full_name": "Sajan Sanghvi", "title": "Founder", "founder_bio": "CTO @ Laylo laylo.com\nProducer @ no suits\n", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/sajan-sanghvi-77b638a0", "x_url": "https://twitter.com/nosuitsnotrends", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/763da7eebcfaf9d7ae09b851d04afa5266c211db.jpg" } ], "jobs": [ { "id": 43636, "title": "Senior Fullstack Engineer", "url": "https://www.ycombinator.com/companies/laylo/jobs/ZVMFWsc-senior-fullstack-engineer", "location": "Los Angeles, CA, US / CA, US / Remote (Los Angeles, CA, US; 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As CapWay’s founder, she became the youngest woman in the U.S. to own and operate a digital bank. She now co-leads GRITS, a launchpad for entrepreneurs, and is developing a fintech-AI startup.", "is_active": false, "linkedin_url": "http://www.LinkedIn.com/in/SheenaAllen", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/29e0db45cca8bc4a71e7262f1a4432f00aabbe7c.jpg" } ], "jobs": [], "news": [ { "title": "CapWay Launches Inclusive Digital Bank With Finance-Inspired Lifestyle Products and Services", "url": "https://finance.yahoo.com/news/capway-launches-inclusive-digital-bank-130000857.html", "date": "Oct 14, 2021" } ], "launches": [] }, { "id": 22638, "name": "Humaans", "slug": "humaans", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/5d9d92284da5e0578d6ae11b390f879ee72085b9.png", "website": "https://humaans.io", "all_locations": "London, England, United Kingdom", "long_description": "Humaans is a next generation HRIS supporting globally distributed organisations. Powered by a flexible data model, deep integrations, fast APIs, and enriched by AI, Humaans removes manual work, reduce compliance risk and enhance your employee experience. Humaans reduces ongoing administrative work by 65% and onboarding time by an average of 55%.\r\n\r\nWe've raised $20 million in VC funding to date. Investors include major Tech players such as Lachy Groom; Slack founder Stewart Butterfield; Shopify founder Tobias Lütke; Figma Founder Dylan Field; Linkedin ex-CEO Jeff Weiner; Stripe COO Claire Johnson; Y Combinator; Moonfire; Frontline Ventures; Exor and more.", "one_liner": "AI-Powered HRIS for high performing teams", "team_size": 48, "industry": "B2B", "subindustry": "B2B -> Human Resources", "launched_at": 1616012350, "tags": [ "SaaS", "Human Resources", "B2B", "Enterprise", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Winter 2021", "status": "Active", "industries": [ "B2B", "Human Resources" ], "regions": [ "United Kingdom", "Europe", "Remote", "Partly Remote" ], "stage": "Growth", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/humaans", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2021/humaans.json", "year_founded": 2020, "city": "London", "country": "GB", "linkedin_url": "https://www.linkedin.com/company/humaans", "x_url": "https://twitter.com/humaanshq", "fb_url": null, "cb_url": "https://www.crunchbase.com/organization/humaans", "github_url": "https://github.com/humaans", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/5d9d92284da5e0578d6ae11b390f879ee72085b9.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Harj Taggar", "url": "https://www.ycombinator.com/people/harj-taggar" }, "founders": [ { "user_id": 273784, "full_name": "Giovanni Luperti", "title": "Founder", "founder_bio": "CEO and co-founder of Humaans. 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Data teams can focus on deep work, not on answering easy questions about dashboards.", "body": "### TL;DR Instead of searching through dashboards, Dot gives you answers. It uses language models combined with data in your DWH + documentation to answer questions with SQL and data.\n\nHi everyone, we are Rick, Sven and Theo and we want enable everybody in your company to be able to take data and fact-based decisions.\n\n### **❌ The Problem**\n\nStatic dashboards are not good enough to keep up with changing and detailed business needs. We like a good dashboard as much as everybody. But the reality is 100s or 1000s of dashboards with way too many visualizations that try to fit to every potential business question.\n\n![7 tips and tricks from the dashboard experts](https://www.tableau.com/sites/default/files/2021-11/7%20tricks%20from%20dashboard%20experts.png)\n\n### **✨ Our Solution**\n\nAsk a question, get the answer.\n\n![uploaded image](/media/?type=post&id=69587&key=user_uploads/729456/78de839e-d8f0-44f7-8c99-615e1706f4f8)\n\n🎥➡️ [Watch Our Demo Video ⬅️](https://www.loom.com/share/5852ead90511473ab1cbecd2313ffe4c)\n\n### **🚸 Our Background**\n\nWith our first product () we help teams to find, understand and trust their analytics on top of Snowflake. We learned how important it is to have trustworthy data combined with correct logic to enable great analytics.\n\nWith Dot, we build on this strong foundation and design the assistant to find and use trustworthy data. 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", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/namitchadha/", "x_url": "https://twitter.com/namitchadha", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/056bc4ee56fc18c736c0cf554e0a9a221192f05f.jpg" } ], "jobs": [], "news": [], "launches": [] }, { "id": 25275, "name": "Strac", "slug": "strac", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/5810f2cdca1ab3fedc5a811643be13d5387e300c.png", "website": "https://www.strac.io/", "all_locations": "Seattle, WA, USA", "long_description": "Strac is an agentless Data Discovery (aka DSPM - Data Security Posture Management), Data Classification & DLP (Data Leak Prevention) that automatically discovers, classifies and remediates sensitive data (alert, label, redact, mask, block, delete). \r\n\r\nStrac protects SaaS, Cloud, Gen AI, Browsers, On-Prem and Endpoints like O365, Slack, GDrive, AWS, Salesforce, ChatGPT, Jira, Mac, Zendesk, Azure, On-Prem (On-Prem, MS SQL SAP) and 40+ integrations. \r\n\r\nStrac protects enterprise companies like UiPath, Databricks, thredUP, B Capital, Crypto (dot) com!", "one_liner": "Data Discovery, DLP, DSPM for SaaS, Cloud, Gen AI & Endpoints", "team_size": 8, "industry": "B2B", "subindustry": "B2B -> Security", "launched_at": 1641604614, "tags": [ "Generative AI", "SaaS", "Security", "Enterprise", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Winter 2022", "status": "Active", "industries": [ "B2B", "Security" ], "regions": [ "United States of America", "America / Canada", "Remote", "Partly Remote" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/strac", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2022/strac.json", "year_founded": 2021, "city": "Seattle", "country": "US", "linkedin_url": "https://www.linkedin.com/company/securewithstrac/", "x_url": "https://twitter.com/securewithstrac", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/5810f2cdca1ab3fedc5a811643be13d5387e300c.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Brad Flora", "url": "https://www.ycombinator.com/people/brad-flora" }, "founders": [ { "user_id": 835087, "full_name": "Aatish M", "title": "Founder", "founder_bio": "Aatish is the Founder & CEO of Strac (YC W22), an AI-powered data security company helping enterprises secure sensitive data across AI, MCP, SaaS, cloud, endpoints, and browsers.\n\nBefore founding Strac, he spent 11 years at Amazon as a Principal Engineer, building and securing critical payments infrastructure, including systems protecting credit card data, bank accounts, and payment transactions at scale.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/aatishmandelecha/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/e6ff8151c72e1f1782cfc46dc4e62850e1e12c70.jpg" } ], "jobs": [ { "id": 51085, "title": "Sales Development Representative (SDR)", "url": "https://www.ycombinator.com/companies/strac/jobs/y0Mopqu-sales-development-representative-sdr", "location": "US / Remote (US)", "type": "Full-time", "role": "Sales", "role_type": null, "salary_range": "$60K - $65K", "equity_range": "0.05% - 0.15%", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 55289, "title": "Senior Software Engineer", "url": "https://www.ycombinator.com/companies/strac/jobs/aqRX4ow-senior-software-engineer", "location": "Redmond, WA, US / Seattle, WA, US / Bellevue, WA, US", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$110K - $160K", "equity_range": "0.01% - 0.20%", "experience": "3+ years", "visa": "Will sponsor", "skills": [ "Amazon Web Services (AWS)", "Java", "JavaScript", "Node.js", "Python", "Elasticsearch", "Linux", "Machine Learning", "Serverless" ] }, { "id": 70821, "title": "Head of Marketing", "url": "https://www.ycombinator.com/companies/strac/jobs/8DFTfAp-head-of-marketing", "location": "US / Remote (US)", "type": "Full-time", "role": "Marketing", "role_type": null, "salary_range": "$100K - $150K", "equity_range": "0.05% - 0.20%", "experience": "6+ years", "visa": "Will sponsor", "skills": [] }, { "id": 83243, "title": "Account Executive", "url": "https://www.ycombinator.com/companies/strac/jobs/e5KNH2P-account-executive", "location": "Seattle, WA, US / Remote (US)", "type": "Full-time", "role": "Sales", "role_type": null, "salary_range": "$75K - $150K", "equity_range": "", "experience": "1+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 87272, "title": "Software Engineer (India)", "url": "https://www.ycombinator.com/companies/strac/jobs/owZm2hV-software-engineer-india", "location": "Bengaluru, KA, IN / Bengaluru, Karnataka, IN / Pune, MH, IN / Pune, Maharashtra, IN / Mumbai, MH, IN / Mumbai, Maharashtra, IN", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "₹2.5M - ₹5M INR", "equity_range": "0.01% - 0.10%", "experience": "3+ years", "visa": "US citizenship/visa not required", "skills": [] }, { "id": 88031, "title": "Senior Full Stack Software Engineer", "url": "https://www.ycombinator.com/companies/strac/jobs/LC8K6PL-senior-full-stack-software-engineer", "location": "Austin, TX, US / Seattle, WA, US / Remote (US)", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$140K - $210K", "equity_range": "0.01% - 0.20%", "experience": "6+ years", "visa": "Will sponsor", "skills": [ "Amazon Web Services (AWS)", "Java", "JavaScript", "Python", "Serverless" ] } ], "news": [ { "title": "Seattle-area cybersecurity startup led by former Amazon principal engineer lands $3.5M – GeekWire", "url": "https://www.geekwire.com/2022/seattle-area-cybersecurity-startup-led-by-former-principal-engineer-lands-3-5m/", "date": "Jul 21, 2022" }, { "title": "Strac plugs into Slack, OneDrive and more to automatically redact sensitive info – TechCrunch", "url": "https://techcrunch.com/2022/07/19/strac-plugs-into-slack-onedrive-and-more-to-automatically-redact-sensitive-info/", "date": "Jul 19, 2022" } ], "launches": [ { "id": 65668, "title": "🔒 Strac Zendesk Redactor", "tagline": "Protect Your Zendesk Account & Comply with Privacy Laws!", "body": "Hi YC!\n\nI'm [**Aatish**](https://www.linkedin.com/in/aatishmandelecha/) and today we're excited to launch **Strac’s Zendesk Redactor!**\n\n## **Problem 😠**\n\nCustomers post sensitive personal information (PII or PHI) on zendesk tickets for a given business function. Some of the burning reasons on why your Zendesk account needs to be protected:\n\n* **Data Leaks:** All organizations are subject to security attacks. Zendesk is also not immune. In 2016 Zendesk was subject to a [data breach exposing 10,000 Zendesk accounts](https://support.zendesk.com/hc/en-us/articles/4408824583578-Updated-FAQ-regarding-2016-Security-Incident-) where sensitive PII (Personally Identifiable Information) was accessed.\n* **Insider Attacks:** Between 2018 and 2020, there was a [47% increase in insider threat incidents](https://www.tessian.com/blog/insider-threat-statistics/). This includes malicious data exfiltration and accidental data loss.‍\n* **Compliance:** Every day government legislation is passing Consumer Privacy laws geared to protect consumer data from malicious entities. California and Illinois have been the latest to introduce these laws, including a Biometric Information Privacy Act. For many organizations, data can be spread across a wide range of systems, which can be challenging to keep up with Privacy law enactments. It is a nightmare for companies to do manual cleanup of those sensitive messages sitting within your employee's zendesk account as deep inspection is time consuming and error-prone. At the same time, you need to stay compliant and prevent exfiltration of sensitive data.\n\n## **Solution** 🚀\n\nStrac Zendesk App is a Data Loss Prevention (DLP) software. It masks (aka redacts) sensitive comments and attachments while still giving the opportunity to authorized users to view those zendesk tickets in Strac UI Vault. A business can configure a list of sensitive data elements (SSN, DoB, DL, Passport, CC#, Debit Card, API Keys, etc.) to redact. Compliance, Risk and Security officers will get audit reports of who accessed what messages.\n\nBelow is a sample list of sensitive data elements that will be detected & redacted:\n\n* PII: Name, Address, Email, Phone, DoB, Age, Gender, Ethnicity, etc.\n* Identification: Drivers License, Passport, SSN (Social Security Number), etc.\n* Payments: Credit Card, Debit Card, Bank Account, Routing Numbers, etc.\n* Credentials: API Keys, Passwords, Passphrases etc.\n* Crypto Secrets: Bitcoin, Ethereum, Litecoin Addresses, etc.\n* PHI: PII data, Medical Record Number (MRN), Medical Notes, etc.\n* Physical Network: IP Addresses, MAC Address, etc.\n* Custom: Create your own rules or use regex\n\nPlease checkout our demo: \n\n### **YC Offer 🎉**\n\n1. FREE Redaction for your entire Zendesk account\n2. Book a Demo on our website: ", "url": "https://www.ycombinator.com/launches/H5A-strac-zendesk-redactor", "votes": 15, "created_at": "2022-08-29T00:00:01.894Z" } ] }, { "id": 25316, "name": "Trébol", "slug": "trebol", "former_names": [ "Evalo" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/4338ad0a706ff34d600a9fbfcb0f2e931607a17a.png", "website": "https://gotrebol.com/", "all_locations": "Bogotá, Bogota, Colombia", "long_description": "Trébol provides the document AI infrastructure for modern financial services - from KYB to mortgage underwriting - turning weeks of manual processing into minutes.", "one_liner": "Your back-office, on autopilot", "team_size": 14, "industry": "B2B", "subindustry": "B2B -> Finance and Accounting", "launched_at": 1642535849, "tags": [ "Fintech", "SaaS", "B2B", "Legal", "Enterprise" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Winter 2022", "status": "Active", "industries": [ "B2B", "Finance and Accounting" ], "regions": [ "Colombia", "Latin America", "Remote", "Partly Remote" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/trebol", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2022/trebol.json", "year_founded": 2021, "city": "Bogotá", "country": "CO", "linkedin_url": "https://www.linkedin.com/company/trebolhq", "x_url": "https://twitter.com/TrebolHQ", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/4338ad0a706ff34d600a9fbfcb0f2e931607a17a.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Aaron Epstein", "url": "https://www.ycombinator.com/people/aaron-epstein" }, "founders": [ { "user_id": 673083, "full_name": "Fabian Torres", "title": "Founder", "founder_bio": "Before Trébol, I led product a product team for a fintech co. I started my career in finance doing investments in Latam.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/torresfabian/", "x_url": "https://twitter.com/torresfabian", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/26edd760a5c29bd2e88bbe17d4efeffd06dbcedd.jpg" }, { "user_id": 461720, "full_name": "Luis Sebastian Buitrago León", "title": "Founder", "founder_bio": "Early employee @Lernico, a seed-stage ed-tech company. CFO for two family-owned businesses operating in healthcare services and real estate. Managed the construction of commercial real estate of >5,000 square meters. Optimized capital structure of the business group. Revamped accounting and controlling processes. Data analyst at the largest colombian pension fund where executed capital on real estate assets from $25M to $150M+.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/lsbuitrago/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/aa54c143bf9cba77f1a01a1204ce28dc2b6ff04b.jpg" } ], "jobs": [ { "id": 83474, "title": "Growth Associate", "url": "https://www.ycombinator.com/companies/trebol/jobs/f5ZjCU7-growth-associate", "location": "Bogotá, Bogota, CO / Mexico City, CDMX, MX / Mexico City, Mexico City, MX / SP, BR / State of São Paulo, BR / Medellín, Antioquia, CO / Monterrey, N.L., MX / Monterrey, Nuevo Leon, MX / Guadalajara, Jal., MX / Guadalajara, Jalisco, MX / Buenos Aires, Buenos Aires, AR / Remote (Bogotá, Bogota, CO; Mexico City, CDMX, MX; Mexico City, Mexico City, MX; SP, BR; State of São Paulo, BR; Medellín, Antioquia, CO; Monterrey, N.L., MX; Monterrey, Nuevo Leon, MX; Guadalajara, Jal., MX; Guadalajara, Jalisco, MX; Buenos Aires, Buenos Aires, AR)", "type": "Full-time", "role": "Marketing", "role_type": null, "salary_range": "$1.5K - $2K / monthly", "equity_range": "", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 83478, "title": "Sales Account Executive", "url": "https://www.ycombinator.com/companies/trebol/jobs/fYXj7T7-sales-account-executive", "location": "Mexico City, CDMX, MX / Mexico City, Mexico City, MX", "type": "Full-time", "role": "Sales", "role_type": null, "salary_range": "$3K - $5K / monthly", "equity_range": "", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [] } ], "news": [], "launches": [] }, { "id": 25320, "name": "Wingback", "slug": "wingback", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/de4dd6debd3ed51accf437ceb7b1b316e5fc5f36.png", "website": "https://www.wingback.com/", "all_locations": "San Francisco, CA, USA; Remote", "long_description": "Wingback provides tools and APIs for SaaS pricing and packaging. We are infrastructure that allows SaaS startups to deploy any set of features of their product using any pricing model. It enables non-technical teams to implement pricing and packaging changes and execute product-led growth campaigns without engineering involvement.", "one_liner": "Wingback provides tools and APIs for SaaS pricing and packaging.", "team_size": 12, "industry": "B2B", "subindustry": "B2B -> Infrastructure", "launched_at": 1639087626, "tags": [ "Fintech", "SaaS", "API", "Enterprise", "Infrastructure" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2022", "status": "Inactive", "industries": [ "B2B", "Infrastructure" ], "regions": [ "United States of America", "America / Canada", "Remote", "Fully Remote" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/wingback", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2022/wingback.json", "year_founded": 2021, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/wingbackapp", "x_url": "https://twitter.com/wingbackapp", "fb_url": null, "cb_url": "https://www.crunchbase.com/organization/wingback", "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/de4dd6debd3ed51accf437ceb7b1b316e5fc5f36.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Nicolas Dessaigne", "url": "https://www.ycombinator.com/people/nicolas-dessaigne" }, "founders": [ { "user_id": 614533, "full_name": "Torben Friehe", "title": "Founder", "founder_bio": "I've been fascinated by technology since early childhood, which led me to founding 1aim, an IoT startup. I ran 1aim together with my co-founder Yann for seven years before it was acquired. After that, I provided advice to some founder friends. In late 2020, I joined On Deck. After many conversations with On Deck fellows in SaaS, Yann and I started building Wingback. Besides startups, I'm interested in Formula 1, cars, and planes, but also in architecture, fashion, and history.", "is_active": false, "linkedin_url": "http://linkedin.com/in/tfriehe", "x_url": "https://twitter.com/tfriehe_", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/f7a18b0d5f2540e3332864a2b99ec7e039a93bd8.jpg" } ], "jobs": [], "news": [ { "title": "Has Y Combinator’s new deal changed the early-stage investing game?", "url": "https://techcrunch.com/2022/01/13/has-y-combinators-new-deal-changed-the-early-stage-investing-game/", "date": "Jan 13, 2022" }, { "title": "How to hire without resumes from social media", "url": "https://www.fastcompany.com/90712236/we-skipped-resumes-and-sourced-candidates-directly-from-online-communities-like-discord", "date": "Jan 13, 2022" }, { "title": "Y Combinator-Backed Wingback Raised $1.9 Million Using This Pitch Deck", "url": "https://www.businessinsider.com/y-combinator-backed-wingback-19-million-using-this-pitch-deck-2021-11", "date": "Nov 09, 2021" } ], "launches": [] }, { "id": 25338, "name": "Cozmo AI", "slug": "cozmo-ai", "former_names": [ "Zywa", "CozmoX AI" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/9b22096b578ff14b789d9b1882b55f7dc73e26f3.png", "website": "https://www.hellocozmo.ai/", "all_locations": "San Francisco, CA, USA", "long_description": "Cozmo AI helps restoration franchisors, TPAs and adjusters put agents to work on US property insurance claims. Agents are autonomous AI workers that answer intake across all channels, coordinate crews and write up losses. Putting them to work means deploying across the full claim, from first notice of loss to crew dispatch and damage estimate to supplement approval. Work that took human teams days to weeks closes in minutes.\r\n\r\nCozmo is an operating system for the whole claim, end to end, and it runs on top of the estimating software, CRM and phone system already in place. Nothing gets ripped out and nothing gets migrated.\r\n\r\nThis allows operators to run more jobs per adjuster and send estimates that clear review the first time. On the carrier side, the same work cuts cycle time to hours and leaves a line-item record of every loss, so risk can be priced by property instead of by ZIP code.\r\n\r\nCozmo's platform captures context from every claim it touches and gets sharper with each one.\r\n\r\nGo to hellocozmo.ai and book a demo to see the Cozmo AI agents in action.", "one_liner": "End-to-end AI agents for property claims, from loss report to estimate", "team_size": 5, "industry": "B2B", "subindustry": "B2B", "launched_at": 1644299294, "tags": [ "Insurance", "Enterprise", "AI", "Conversational AI" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Winter 2022", "status": "Active", "industries": [ "B2B" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/cozmo-ai", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2022/cozmo-ai.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/cozmox-ai", "x_url": "https://x.com/cozmoxai", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/9b22096b578ff14b789d9b1882b55f7dc73e26f3.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Tom Blomfield", "url": "https://www.ycombinator.com/people/tom-blomfield" }, "founders": [ { "user_id": 597610, "full_name": "Alok Kumar", "title": "Founder/CEO", "founder_bio": "Love building and shipping 🔥", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/alokhk/", "x_url": "https://x.com/ak_cozmo", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/3c839ed614a298679eb6aca40e9bdc690daf487a.jpg" }, { "user_id": 714894, "full_name": "Nuha Hashem", "title": "Founder/CTO", "founder_bio": "Building the future of work at Cozmo 🚀", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/nuhahashem/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/c209566077cff5fd4de0f4119807eb371a71f2e2.jpg" } ], "jobs": [ { "id": 103217, "title": "Agent Product Manager", "url": "https://www.ycombinator.com/companies/cozmo-ai/jobs/sgwDFZc-agent-product-manager", "location": "New York, NY, US", "type": "Full-time", "role": "Product", "role_type": null, "salary_range": "$100K - $140K", "equity_range": "0.04% - 2.00%", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] }, { "id": 103439, "title": "Forward Deployed Engineer", "url": "https://www.ycombinator.com/companies/cozmo-ai/jobs/yZj5zoB-forward-deployed-engineer", "location": "New York, NY, US", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$100K - $200K", "equity_range": "0.14% - 2.00%", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] }, { "id": 103440, "title": "Founding GTM ", "url": "https://www.ycombinator.com/companies/cozmo-ai/jobs/8ikndus-founding-gtm", "location": "New York, NY, US / FL, US / San Francisco, CA, US", "type": "Full-time", "role": "Sales", "role_type": null, "salary_range": "$80K - $500K", "equity_range": "0.10% - 2.00%", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] }, { "id": 103441, "title": "Applied ML Engineer", "url": "https://www.ycombinator.com/companies/cozmo-ai/jobs/YFtovo3-applied-ml-engineer", "location": "New York, NY, US / Bengaluru, KA, IN / Bengaluru, Karnataka, IN / Dubai, Dubai, AE", "type": "Full-time", "role": "Engineering", "role_type": "Data science", "salary_range": "$100K - $240K", "equity_range": "0.20% - 1.00%", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] } ], "news": [ { "title": "YC-backed Zywa, a neobank for Gen Z, raises $3M to expand across MENA – TechCrunch", "url": "https://techcrunch.com/2022/08/23/yc-backed-zywa-a-neobank-for-gen-z-raises-3m-to-expand-across-mena/", "date": "Aug 23, 2022" }, { "title": "Teen NeoBank Zywa raises $1M Pre-SEED | MAGNiTT", "url": "https://magnitt.com/news/zywa-1m-pre-seed-53201", "date": "Mar 28, 2022" }, { "title": "Y Combinator backs Dubai-based teen neobank Zywa, closing $1m pre-seed round - News | Khaleej Times", "url": "https://www.khaleejtimes.com/business/y-combinator-backs-dubai-based-teen-neobank-zywa-closing-1m-pre-seed-round", "date": "Mar 28, 2022" }, { "title": "Zywa closes a $1 million pre-Seed round backed by Y Combinator", "url": "https://mystartupworld.com/zywa-closes-a-1-million-pre-seed-round-backed-by-y-combinator/", "date": "Feb 08, 2022" } ], "launches": [ { "id": 98015, "title": "Cozmo AI: The system of work for enterprises in financial services and insurance", "tagline": "Multimodal AI employees that see, speak, think and run operations", "body": "Hey everyone, we’re [Nuha](https://www.linkedin.com/in/nuhahashem/) and [Alok](https://www.linkedin.com/in/alokhk/) from [Cozmo AI](https://cozmox.ai?utm_source=yc-launch&utm_medium=listing&utm_campaign=launch).\n\n**TL;DR** \n\nWe help banks, insurers and lenders deploy multimodal AI employees that interpret documents and videos, speak with customers in real time, think using your policies and do the work in your core systems.\n\nCheck out our [launch video](https://youtu.be/IGypdMioyIo).\n\n**❌ The problem**\n\nIf you’ve ever seen how a real customer operation gets handled inside a large company, you’ll notice the conversation is usually the shortest part. Most of the time goes into opening 6-10 tools, finding history, checking documents, verifying details and recording what happened afterwards.\n\nWe ran into such issues while building a fintech product and spending months embedded with support and operations teams. A support case that looked “simple” from the outside often meant 40 minutes of prep and follow-up wrapped around an 8-minute customer interaction. The work was more around moving data and decisions across messy systems than actually talking to customers.\n\n![uploaded image](/media/?type=post&id=98015&key=user_uploads/714894/df0f9156-23c1-46c6-b05f-93060b590053)\n\nTo handle these cases, we built an internal system that could understand a case end-to-end and take actions across systems automatically. During a demo, a partner stopped us and asked for that system instead of the fintech product itself.\n\nThat became Cozmo.\n\n**✅ How Cozmo is solving it**\n\nCozmo is a system of work for complex enterprise operations, starting with financial services and insurance. Companies use Cozmo to build and deploy AI employees, which are a collection of agents that own workflows end to end. They talk to customers, read documents, interpret videos, apply company policies and update systems like Guidewire, Temenos and Salesforce, pulling humans into the loop only when real judgment or escalation is needed.\n\nEvery decision the AI employee makes is logged, including its reasoning and policy reference, providing a complete audit trail for compliance and operations without additional manual effort. This is managed by our proprietary Agent Protocol Engine (APE), the control layer that keeps shared context, enforces policy and ensures every step is tracked for regulated industries.\n\nCozmo is live with 10+ enterprises, including Fortune Global 500s like Nestlé, and has already handled over 1M production calls and 10M interactions; cutting costs by up to 70% and turning roughly 1 in 13 conversations into revenue.\n\n[Watch Cozmo in action.](https://youtu.be/ek8eE1bXOnU)\n\n**🧬 What’s unique about Cozmo**\n\nMost AI tools are just prompt trees with a UI. They’re fine for neat, repetitive tasks; but they fall apart the moment operations get messy, ending in half‑filled tickets, off‑script collection calls and disputes scattered across systems.\n\nCozmo is built for that mess:\n\n* **Multimodal by default:** One platform to spin up AI employees that handle inbound and outbound calls, read PDFs and scanned forms, understand video and talk to customers in a single, continuous flow.\n* **Runs on intent, not prompts:** You give it responsibilities and policies like a new hire, instead of maintaining endless prompt chains. As new case patterns appear, the AI employee adapts behavior without you rewriting a graph of scripts.\n* **APE-powered coordination:** A single Cozmo “employee” is actually a coordinated team of agents, driven by our Agent Protocol Engine (APE), running an internal loop: planning, delegating, checking and rechecking across systems until the case is closed, not just until a workflow box is ticked.\n\nSo instead of a scripted bot, you get something that behaves much closer to a high‑performing operations hire: it keeps context, chases down loose ends and keeps pushing the work forward without you needing to orchestrate every move.\n\n**🚀 Our story**\n\nNuha and Alok have been friends for over 11 years. We scaled a regulated fintech together in Dubai, navigating one of the most demanding regulatory environments in the world. When the regulations and market changed, we were forced to shut it down. We built AI employees to manage the fintech ourselves on cockroach mode, handling communications and documentation across every affected account. \n\nThat system worked, and when a partner saw it, they asked to buy it instead. So we moved from Dubai to San Francisco to build Cozmo. \n\nThree years, two countries, 180 pivot, and we’re still going.\n\n![uploaded image](/media/?type=post&id=98015&key=user_uploads/714894/4501b459-03fa-4135-9389-d407946bd5ec)\n\n 🎯 **Our Ask**\n\nWe’re onboarding new enterprise customers in financial services and insurance. If you (or someone you know) run claims, collections or large-scale operations at a bank or insurer, we’d love to connect.\n\n---\n\n---\n\n---\n\n---\n\n---\n\n---\n\n---\n\n———————————\n\n🌐 Check our website [here](https://cozmox.ai?utm_source=yc-launch&utm_medium=listing&utm_campaign=launch).\n\n📆 Book a demo [here](https://meetings.hubspot.com/alok-k?utm_source=yc-launch&utm_medium=listing&utm_campaign=demo).\n\n✉️ Contact us at [founders@cozmox.ai](mailto:founders@cozmox.ai).", "url": "https://www.ycombinator.com/launches/PUt-cozmo-ai-the-system-of-work-for-enterprises-in-financial-services-and-insurance", "votes": 38, "created_at": "2026-02-20T18:53:08.358Z" } ] }, { "id": 25616, "name": "Stackshine", "slug": "stackshine", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/2f75e99dea11ca83cb5f3e5de76cf447b57d842e.png", "website": "https://www.stackshine.com", "all_locations": "Portland, OR, USA; Providence, RI, USA; Remote", "long_description": "Stackshine is creating mission control for enterprise IT teams. We discover all the software being used across their organization and then automate workflows related to onboarding/offboarding, cost savings, and security. ", "one_liner": "Automating all IT operations", "team_size": 7, "industry": "B2B", "subindustry": "B2B -> Operations", "launched_at": 1646144116, "tags": [ "Robotic Process Automation", "Productivity", "Analytics", "Enterprise", "Data Engineering" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2022", "status": "Acquired", "industries": [ "B2B", "Operations" ], "regions": [ "United States of America", "America / Canada", "Remote", "Fully Remote" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/stackshine", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2022/stackshine.json", "year_founded": 2020, "city": "Portland", "country": "US", "linkedin_url": "https://www.linkedin.com/company/stackshine", "x_url": "https://twitter.com/StackshineSaaS", "fb_url": null, "cb_url": "https://www.crunchbase.com/organization/stackshine", "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/2f75e99dea11ca83cb5f3e5de76cf447b57d842e.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": null, "founders": [ { "user_id": 49962, "full_name": "Tyler Diaz", "title": "Founder", "founder_bio": "Builder of tech", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/tylerjdiaz/", "x_url": "https://twitter.com/tylerdiaz", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/dd7c36c437e2147eedbdd5d5e159787332924d8d.jpg" } ], "jobs": [], "news": [], "launches": [] }, { "id": 25696, "name": "Agency", "slug": "agency", "former_names": [ "Achilleion" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/0b9732a89bf577bd80a0c7d0b377bd35fcce86ce.png", "website": "https://GetAgency.com", "all_locations": "New York City, NY, USA", "long_description": "Agency replaces traditional security and compliance headcount with AI without replacing your existing tools.\r\n\r\nOur platform is operated by forward-deployed engineers who run your entire security and compliance program including full virtual CISO coverage on your behalf. All powered by our proprietary AI agents.\r\n\r\nAgency is a vertically integrated AI platform and services company that enables organizations to achieve and maintain SOC 2, ISO 27001, CMMC 2.0, HIPAA, GDPR, FedRAMP, HITRUST, ISO 42001, and more without building internal teams. We integrate with leading GRC platforms like Vanta and Drata and security tools like CrowdStrike.\r\n\r\nAt its core is our proprietary cybersecurity and GRC orchestration layer powering a suite of AI systems that execute end-to-end security and compliance operations: control implementation, evidence collection, monitoring, vendor risk, penetration testing, and audit coordination — across complex environments like BYODs, contractor fleets, and multi-party systems. Things that GRC automation platforms can't do.\r\n\r\nWe deliver this through two distinctly separate products:\r\n\r\nAgency Comply — forward-deployed engineers who operate the platform, implement controls, run compliance programs, and manage security end-to-end\r\n\r\nAuditsuisse Assurance — our US and Swiss licensed CPA firm, powered by Auditsuisse AI, delivering independent SOC and global audits with speed and rigor. (Auditsuisse does not audit Agency Comply customers).\r\n\r\nAgency serves startups through enterprises building in high-stakes environments — AI, defense, aerospace, fintech, and healthcare — replacing fragmented tools and large internal teams with a single AI-driven system of execution.", "one_liner": "Agency replaces traditional security and compliance headcount with AI.", "team_size": 50, "industry": "B2B", "subindustry": "B2B -> Security", "launched_at": 1641532353, "tags": [ "SaaS", "B2B", "Compliance", "Security", "Enterprise" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Winter 2022", "status": "Active", "industries": [ "B2B", "Security" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/agency", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2022/agency.json", "year_founded": 2020, "city": "New York City", "country": "US", "linkedin_url": "https://www.linkedin.com/company/getagency22", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/0b9732a89bf577bd80a0c7d0b377bd35fcce86ce.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": null, "founders": [ { "user_id": 617735, "full_name": "Amir Tarighat", "title": "Founder", "founder_bio": "Amir Tarighat is the cofounder and CEO of Agency. He's a developer, cybersecurity expert, and digital privacy advocate. Amir graduated from Harvard University, and studied Advanced Computer Security at Stanford. He lives in NYC.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/atarighat/", "x_url": "https://twitter.com/ATarighat", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/1d7a628aa15e2bfcaa1933cacc991e7b62589641.jpg" }, { "user_id": 860213, "full_name": "Tyler Carbone", "title": "Founder", "founder_bio": "Co-Founder at Agency, where we provide personal cybersecurity + coverage. Previous founder Terbium Labs (sold to Deloitte), Evenspring (sold to Timmons Group) and SRRN Games.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/tylercarbone/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/f2da9b5c5fc4f09cb374472f05b9828a31d4b7e0.jpg" } ], "jobs": [ { "id": 83758, "title": "Sales Development Representative / Business Development Rep", "url": "https://www.ycombinator.com/companies/agency/jobs/247LpHO-sales-development-representative-business-development-rep", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Sales", "role_type": null, "salary_range": "$65K - $75K", "equity_range": "", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] } ], "news": [], "launches": [] }, { "id": 25757, "name": "AntWalk", "slug": "antwalk", "former_names": [ "ANTWAK", "AntWak" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/54a8cf0b68ea1720cdf1adba0a1c01b4115f5972.png", "website": "https://www.antwalk.com/", "all_locations": "Bengaluru, KA, India; Remote", "long_description": "An up-skilling platform that empowers teams with continuous learning tracks to equip them with the right skills at the right time. \r\n\r\nOur up-skilling programs are customised to business objectives of organisations across sales, customer success, general management, technology & product functions & promote employee development by enhancing their existing competencies and developing newer ones. \r\n\r\nAntWalk is powered by 3000+ Experts from 500+ Global Brands across 40+ Countries to power these courses and 1:1 Interactions.", "one_liner": "An employee up-skilling platform for fast growing companies", "team_size": 50, "industry": "Education", "subindustry": "Education", "launched_at": 1647841473, "tags": [ "Education", "eLearning", "Enterprise" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2022", "status": "Inactive", "industries": [ "Education" ], "regions": [ "India", "South Asia", "Remote", "Fully Remote" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/antwalk", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2022/antwalk.json", "year_founded": 2019, "city": "Bengaluru", "country": "IN", "linkedin_url": "https://www.linkedin.com/school/antwalk", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/54a8cf0b68ea1720cdf1adba0a1c01b4115f5972.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Brad Flora", "url": "https://www.ycombinator.com/people/brad-flora" }, "founders": [ { "user_id": 585095, "full_name": "Joybroto Ganguly", "title": "Founder", "founder_bio": "Passionate Educator, \nMcKinsey Alum: 2013-2017\nManaging Trustee - Aashayein Foundation (an education focused NGO for underprivileged kids in India) : 2006 onwards ", "is_active": false, "linkedin_url": "https://www.linkedin.com/in/joybroto-ganguly-antwak/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/7871b12bf7a082fb41c09c7c50e3bb494d3f57ef.jpg" } ], "jobs": [], "news": [ { "title": "Edtech startup AntWalk raises $7.5M in Series A round led by GSV", "url": "https://yourstory.com/2022/07/funding-b2b-edtech-startup-antwalk-series-a-gsv-y-combinator/amp", "date": "Jul 05, 2022" } ], "launches": [] }, { "id": 25995, "name": "Workflow86", "slug": "workflow86", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/c71984e3c90e232ebbf75967edf3df1a6a22f4e9.png", "website": "https://www.workflow86.com", "all_locations": "San Francisco, CA, USA", "long_description": "Workflow86 provides a complete end-to-end platform for building agentic workflows and automating complex business processes and operations. \r\n\r\nWorkflow86 provides users with a complete suite of tools to build and deploy custom agents and orchestrate them to perform complex, long-running workflows including human-in-the-loop steps, custom code, agent tools, and integrations with your existing systems. \r\n\r\nBuild using a visual canvas, or simply describe the workflow in natural language with agents able to self-configure tools, prompts, and integrations, and even build the multi-agent workflows. ", "one_liner": "Agentic workflows for complex, long running business operations", "team_size": 6, "industry": "B2B", "subindustry": "B2B -> Operations", "launched_at": 1642126076, "tags": [ "SaaS", "B2B", "Enterprise", "No-code", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2022", "status": "Active", "industries": [ "B2B", "Operations" ], "regions": [ "United States of America", "America / Canada", "Remote", "Partly Remote" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/workflow86", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2022/workflow86.json", "year_founded": 2021, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/18698636", "x_url": "https://twitter.com/workflow86", "fb_url": null, "cb_url": "https://www.crunchbase.com/organization/workflow86", "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/c71984e3c90e232ebbf75967edf3df1a6a22f4e9.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/ffc83caa543a1123af8110c0416626a571134753.png" ], "primary_partner": null, "founders": [ { "user_id": 854439, "full_name": "Aaron Tran", "title": "Founder", "founder_bio": "Founder of Workflow86, an AI-first workflow automation platform where AI handles the entire process of designing, building, and editing your internal business processes and operations.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/%F0%9F%94%80-aaron-tran-847b2358/", "x_url": "https://twitter.com/aaa_ron_", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/4952582e8c7057e579e26a27923b08eec62480c4.jpg" } ], "jobs": [], "news": [ { "title": "How a self-taught coder built a no-code tool to simplify business ops | Makerpad", "url": "https://www.makerpad.co/blog/how-a-self-taught-coder-built-a-no-code-tool-to-simplify-business-ops", "date": "Jan 21, 2022" } ], "launches": [ { "id": 91547, "title": "Workflow86: AI that automates any workflow/business process in minutes", "tagline": "Automate any workflow/business process by describing it in natural language", "body": "**TL;DR:** Workflow86 is an AI workflow engineer that takes natural language descriptions of business processes and automatically creates fully configured automations with forms, tasks, AI, integrations, and more. \n\nhttps://www.loom.com/share/87e8ea3ad34b425dab8bdfaf31da7f1c?sid=27762eb9-43d8-44a5-8daf-5a1d6ce4e51f\n\n# **The Problem**\n\nEvery business has mission-critical processes that eat up hours of manual work: employee onboarding, contract approvals, lead qualification, vendor management. You know automation could help, but it faces three major issues:\n\n1. **Existing business systems are rigid,** and systems of record like CRMs and ERPs make customization frustrating, complex, and expensive, often requiring external consultants or their own dedicated developers \n2. **No-code tools still have a significant learning curve,** and teams still spend weeks figuring out how to configure and build custom workflows properly before they can deliver value\n3. **Pure no-code solutions struggle to handle edge cases** or highly custom business logic, requiring complex and clunky workarounds.\n4. **Existing tools struggle to fully capture real-world business processes,** which involve complex processes that require a mixture of automation and human-in-the-loop, involve multiple teams and stakeholders, and extend across days, weeks, or even months.\n\n   \n\n## **Our Solution**\n\nWorkflow86 is an AI workflow engineer that takes natural language descriptions of business processes and automatically creates fully configured automations with forms, tasks, AI steps, integrations, and more. \n\n### **Design and deploy automations in minutes**\n\nThis allows anyone to build and deploy custom business processes and workflow automations by chatting to their own on-demand workflow automation expert. \n\n1. **Describe your process** in natural language or even upload an image, flowchart, or process diagram\n2. **AI asks clarifying questions** and develops an implementation plan just like a business analyst would\n3. **AI builds and implements everything** using a combination of forms, human-in-the-loop tasks, database queries, AI steps, API integrations, and even custom JavaScript/Python code\n4. **Deploy immediately** or iterate. You can manually edit the workflow yourself or with more AI assistance\n\n![uploaded image](/media/?type=post&id=91547&key=user_uploads/854439/594b669e-574d-4954-a739-3b809de40c01)\n\n### **Combining the best of code and no-code, AI and human-in-the-loop**\n\nWorkflow86 goes beyond just connecting different apps together and builds end-to-end workflows with a range of nodes designed to handle the most complex real-workflow business processes and use cases. \n\n**Visually model complex business processes** and workflows end-to-end in one place via an intuitive visual flow interface with notes, descriptions, and AI explanations to keep everything up-to-date and easy to understand. \n\n![uploaded image](/media/?type=post&id=91547&key=user_uploads/854439/86e66142-9d21-49b4-be71-e8fc1475c132)\n\n**Run custom code** nodes to provide the power and flexibility of code to handle edge cases and complex, or highly customized steps. \n\n![uploaded image](/media/?type=post&id=91547&key=user_uploads/854439/410c36be-1f4a-4668-aced-8181193ca9a8)\n\n**Create AI-powered workflows** with AI nodes that use the latest LLMs to perform tasks inside of their workflow, including summarizing content, extracting values, searching the web, and more. \n\n![uploaded image](/media/?type=post&id=91547&key=user_uploads/854439/ecf9b065-7f6a-4a7e-87b1-63eab31c1875)\n\n**Built-in forms and human-in-the-loop** tasks keep everything in check for workflows requiring human review, approvals, and more. \n\n![uploaded image](/media/?type=post&id=91547&key=user_uploads/854439/54f85e87-704b-4b49-bfda-3c58bb26755d)\n\n**Integration nodes to seamlessly connect** to your existing systems and apps, allowing workflows to be triggered from your existing systems and apps (like your CRM, ticketing, email, and HR systems), and to trigger actions and events in these apps as well. \n\n![uploaded image](/media/?type=post&id=91547&key=user_uploads/854439/755a1ce8-00c1-48e4-8881-a1f8fd60ef62)\n\n### Use cases and examples\n\nHere are some real-world examples you can try:\n\n> Create an employee onboarding workflow that sends welcome emails, creates IT tickets for equipment, schedules meetings with the team, and tracks completion of training modules\n\n> Build a contract approval process that routes based on contract value, requires legal review for contracts over $50k, collects digital signatures, and notifies stakeholders\n\n> I need a lead scoring system that enriches leads from our website, scores them based on company size and engagement, assigns to sales reps by territory, and creates follow-up tasks\n\n> Set up a customer refund process that validates the order, checks refund eligibility, gets manager approval for amounts over $500, processes the refund, and updates our CRM\n\n> Create an expense approval workflow where employees submit receipts, AI categorizes expenses, routes to managers based on amount, and syncs approved expenses to QuickBooks\n\n## Try it today\n\nVisit[ workflow86.com](http://workflow86.com) to start for free. Type in a workflow or business process you want to automate and click generate to see our AI in action.\n\nHave a complex workflow in mind? Book a demo and we'll build it with you live.", "url": "https://www.ycombinator.com/launches/NoZ-workflow86-ai-that-automates-any-workflow-business-process-in-minutes", "votes": 9, "created_at": "2025-06-23T16:31:34.593Z" } ] }, { "id": 26121, "name": "Cinapse", "slug": "cinapse", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/ddc4d4e8009e0c8d02d4de7f4bdf26587f0a8a7c.png", "website": "https://cinapse.io", "all_locations": "Los Angeles, CA, USA; Remote", "long_description": "Cinapse is reimagining the production schedule: the foundation of every film and TV project. We’re building the OS of Hollywood, starting with the tool that filmmakers use every day.\r\n\r\nBesides the script, nothing is more foundational to filmmaking. There’s no accurate budget without a schedule. No execution plan without one. The schedule is the map that takes us from idea to image.\r\n\r\nCinapse helps filmmakers draw that map better, faster, and together. ", "one_liner": "The Operating System of Hollywood", "team_size": 2, "industry": "B2B", "subindustry": "B2B -> Productivity", "launched_at": 1643077437, "tags": [ "SaaS", "B2B", "Entertainment", "Productivity", "Enterprise" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2022", "status": "Active", "industries": [ "B2B", "Productivity" ], "regions": [ "United States of America", "America / Canada", "Remote", "Fully Remote" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/cinapse", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2022/cinapse.json", "year_founded": 2020, "city": "Los Angeles", "country": "US", "linkedin_url": "https://www.linkedin.com/company/cinapse-io", "x_url": "https://twitter.com/cinapse_io", "fb_url": "https://www.facebook.com/cinapse.io/", "cb_url": "https://www.crunchbase.com/organization/cinapse", "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/ddc4d4e8009e0c8d02d4de7f4bdf26587f0a8a7c.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": null, "founders": [ { "user_id": 854409, "full_name": "Herman Phillips", "title": "Founder", "founder_bio": "Co-founder and CEO @ Cinapse. Previously in the Assistant Directors department on major films and television series including Disney+'s The Mandalorian and The Book of Boba Fett; HBO's Silicon Valley, Euphoria, and Insecure; Steven Spielberg's The Fabelmans; and various other Netflix, HBO, Apple, Disney, and Hulu productions.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/hgphillipsiv/", "x_url": "https://www.twitter.com/hgphillipsiv", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/e5a31bdc9c0add763336124f9b48d08687463ea5.jpg" }, { "user_id": 853880, "full_name": "Roger Tran", "title": "Founder", "founder_bio": "COO @ Cinapse\nUX, Architecture, Real Estate Development, Locations Rentals, Stanford, Harvard.\nLos Angeles / San Francisco. ", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/rogerwtran/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/843b77c2cf155c31f6f282451d2e14e613bd2325.jpg" } ], "jobs": [], "news": [], "launches": [] }, { "id": 26505, "name": "Layerup", "slug": "layerup", "former_names": [ "DAOfront", "Coinbooks" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/b8642dde96f05262417ace24dc6a69378230796d.png", "website": "https://www.uselayerup.com/", "all_locations": "San Francisco, CA, USA", "long_description": "Layerup builds the autonomous Agentic AI Operating System for the largest enterprises in the most critical industries on the planet. Layerup's Agentic AI OS orchestrates enterprise systems—from internal software and data infrastructure to ML models and on-prem apps—to deploy autonomous AI agents and deliver end-to-end automation.", "one_liner": "Agentic AI OS for Financial Services and Insurance", "team_size": 11, "industry": "B2B", "subindustry": "B2B", "launched_at": 1645952902, "tags": [ "Generative AI", "B2B", "Enterprise", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Summer 2022", "status": "Active", "industries": [ "B2B" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/layerup", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2022/layerup.json", "year_founded": 2021, "city": "San Francisco", "country": "US", "linkedin_url": "", "x_url": "", "fb_url": null, "cb_url": "https://www.crunchbase.com/organization/daofront", "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/b8642dde96f05262417ace24dc6a69378230796d.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/a1e76469c53de8dbfa4b6c3dcb7fcf74b4faf69a.png" ], "primary_partner": { "name": "Brad Flora", "url": "https://www.ycombinator.com/people/brad-flora" }, "founders": [ { "user_id": 671834, "full_name": "Arnav Bathla", "title": "Founder", "founder_bio": "Shipping products ever since I was 13 y/o. \n\nFell in love with solving *big* problems and startups the moment I got invited by NSS and NASA Ames at 15 y/o for being one of the global winners of International NSS space settlement contest 3 times in a row. I worked on habitable space settlements, space mining (asteroid mining, lunar mining, titan mining, etc.), disassembling mercury to build a dyson swarm, antimatter propulsion, space robotics, and more. ", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/arnav-bathla-he-him-6b49ab194/", "x_url": "https://twitter.com/arnavbathla20", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/2f252745f8e84058fd824c1f5ec950089cf02515.jpg" } ], "jobs": [ { "id": 50344, "title": "Forward Deployed Engineer", "url": "https://www.ycombinator.com/companies/layerup/jobs/mupiiFZ-forward-deployed-engineer", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$100K - $200K", "equity_range": "0.25% - 2.50%", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [ "JavaScript", "Node.js", "React" ] } ], "news": [ { "title": "Meet the Technology Entrepreneur and CEO, Arnav Bathla - TechBullion", "url": "https://techbullion.com/meet-the-technology-entrepreneur-and-ceo-arnav-bathla/", "date": "Jan 02, 2023" }, { "title": "Meet The 21-Year-Old Dropout Turned Web3 Founder - And Raised $3.2 Million In 6 Months", "url": "https://www.forbes.com/sites/derickdavid/2022/05/31/meet-the-21-year-old-dropout-turned-web3-founder-and-raised-32-million-in-6-months", "date": "Jun 01, 2022" }, { "title": "Us-based Jalandhar Youth’s Start-up Raises $3.2m In 3 Mths | Ludhiana News - Times of India", "url": "https://timesofindia.indiatimes.com/city/ludhiana/us-based-jalandhar-youths-start-up-raises-3-2m-in-3-mths/articleshow/90553583.cms", "date": "Mar 31, 2022" }, { "title": "Coinbooks raises $3.2 million to build accounting software for DAOs", "url": "https://www.theblockcrypto.com/linked/138356/coinbooks-raises-3-2-million-to-build-accounting-software-for-daos", "date": "Mar 18, 2022" } ], "launches": [] }, { "id": 26710, "name": "Tailor", "slug": "tailor", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/9a820aa4b7b154f3af51351a25732f22fdf20d89.png", "website": "https://www.tailor.tech/", "all_locations": "Tokyo, Tokyo, Japan", "long_description": "Tailor is the headless ERP that gives fast-growing retail brands a composable, API-first platform to run operations with speed, flexibility, and control.\r\n\r\n🧱 Legacy ERP is too rigid: Systems like NetSuite and SAP take months (or years) to implement and break with every change. Tailor is modular, headless, and easy to adapt.\r\n🧩 Point solutions don’t scale: Tools like inventory or order management software solve one problem, but can’t talk to each other or keep up with growth.\r\n📊 Spreadsheets are everywhere: From demand planning to purchase orders, even $100M+ brands still rely on Excel. Tailor replaces duct-taped workflows with ops modules you can tweak, combine, or scale\r\n⚡️ Complex workflows need custom logic: Whether it's multi-location inventory, DTC + B2B orders, or light manufacturing (like kitting or lot tracking), Tailor supports flexible automations out of the box.\r\n👟 Operators can move faster: Launch backend modules in minutes, not months. Tailor's low-code tools let teams build, automate, and adapt without waiting on engineering or implementation agencies.\r\n\r\n\r\nBuilt for composable retail:\r\n- Headless backend with GraphQL APIs\r\n- 50+ integrations (Shopify, QuickBooks, 3PLs, etc.)\r\n- Custom automations via Pipelines, Functions, and Event Triggers\r\n- State machines for approvals and multi-step workflows\r\n- AI features like OCR and vector search built in\r\n\r\nTailor is already powering operations at fast-growing omnichannel brands and modern manufacturers.\r\nWe’re proud to be the first Japan-based company to join Y Combinator. \r\n\r\nLearn more at [tailor.tech](https://www.tailor.tech)\r\n", "one_liner": "Headless ERP for retail operations", "team_size": 40, "industry": "B2B", "subindustry": "B2B", "launched_at": 1654046243, "tags": [ "Developer Tools", "SaaS", "B2B", "API", "Enterprise" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Summer 2022", "status": "Active", "industries": [ "B2B" ], "regions": [ "Japan", "East Asia", "Remote", "Partly Remote" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/tailor", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2022/tailor.json", "year_founded": 2021, "city": "Tokyo", "country": "JP", "linkedin_url": "https://www.linkedin.com/company/76263236/", "x_url": "https://x.com/TailorERP", "fb_url": null, "cb_url": "https://www.crunchbase.com/organization/tailor-a768", "github_url": "https://github.com/tailor-platform", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/9a820aa4b7b154f3af51351a25732f22fdf20d89.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Nicolas Dessaigne", "url": "https://www.ycombinator.com/people/nicolas-dessaigne" }, "founders": [ { "user_id": 965414, "full_name": "Yo Shibata", "title": "Founder", "founder_bio": "Yo Shibata is co-founder/CEO of Tailor. Previously, Yo founded Smapo (Acquired by Rakuten, RetailTech), Shoppi (Acquired by IMJ, mobile app), co-founded Funds (FinTech), and Watashikampo (HealthTech). Prior to being a serial entrepreneur, he worked for McKinsey.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/yo-shibata-12742621/", "x_url": "https://twitter.com/yoyoshibata", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/88a21de1bd590c0bbc682e02c046539198faafd3.jpg" }, { "user_id": 1013665, "full_name": "Misato Takahashi", "title": "Founder", "founder_bio": "Co-founder/CTO of Tailor, previously co-founder/CTO of Speee (TSE IPO in 2020), CTO of Spotlight (Acquired by Rakuten), engineer at Rakuten and GREE, and head of R4D, a research institute at Mercari.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/mistat/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/4e3b88574477d4937352052125fd54dd174acafa.jpg" } ], "jobs": [ { "id": 93457, "title": "Senior Bilingual Software Engineer (English/Japanese) – West Coast (U.S.)", "url": "https://www.ycombinator.com/companies/tailor/jobs/BFTH1SA-senior-bilingual-software-engineer-english-japanese-west-coast-u-s", "location": "US / Remote (US)", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$120K - $200K", "equity_range": "", "experience": "6+ years", "visa": "Will sponsor", "skills": [] }, { "id": 99383, "title": "Full-Stack Software Engineer (Remote, US West Timezone Overlap)", "url": "https://www.ycombinator.com/companies/tailor/jobs/ab7OqFM-full-stack-software-engineer-remote-us-west-timezone-overlap", "location": "Remote (US)", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$120K - $160K", "equity_range": "", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 111460, "title": "Associate Forward-Deployed Product Manager", "url": "https://www.ycombinator.com/companies/tailor/jobs/E8miCF1-associate-forward-deployed-product-manager", "location": "US / Remote (US)", "type": "Full-time", "role": "Product", "role_type": null, "salary_range": "$100K - $130K", "equity_range": "", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [] } ], "news": [ { "title": "Y Combinator, Global Brain back Tailor, a Japanese headless ERP startup • TechCrunch", "url": "https://techcrunch.com/2022/09/05/y-combinator-global-brain-back-tailor-a-japanese-headless-erp-startup/", "date": "Sep 05, 2022" } ], "launches": [ { "id": 91217, "title": "Tailor Omakase: Curated, Headless ERP for Fast-Growing Retail Brands", "tagline": "🛍️We help fast-growing retail brands replace rigid legacy systems, brittle point solutions and spreadsheet hell", "body": "Hello YC from Yo, Misato, and the team at Tailor 👋 We built Tailor as the headless ERP to replace monolithic, legacy tools — and today we’re launching Tailor Omakase. \n\n# **TL;DR**\n\nTailor Omakase is an opinionated, lightning-fast “ERP lite” for retail operators tired of rigid legacy systems, brittle point solutions and spreadsheet hell. \n\nSee how it works in this demo: [**https://youtu.be/tzSZw3MEIk0?feature=shared**](https://youtu.be/tzSZw3MEIk0?feature=shared)\n\n### **❌ The Problem: Retail ops software is stuck in the 90s**\n\nLegacy ERP software (think Netsuite and SAP) is rigid, monolithic, and difficult to implement and customize. This hits **retail operations** especially hard because of the industry’s unique operational makeup of supply chains, online marketplaces, and varying sales channels. \n\n![uploaded image](/media/?type=post&id=91217&key=user_uploads/965414/c28e51ee-4b3f-4f22-80b3-8ac011720893)\n\nRetail operators basically must choose between:\n\n* **Legacy ERP**: Bulky, monolithic systems that take several months or years to implement.\n* **Point solutions that don’t scale**: Tools for inventory, order management, or light manufacturing can solve short-term pain but aren’t API-first and break easily ops need to scale.\n* **Spreadsheets or homegrown**: Even fast-growing brands run core ops on Google Sheets, Airtable, or in-house tools held together by duct tape.\n\n \n\n### **✅ The Solution: Tailor Omakase**\n\n**Tailor Omakase** is a curated, customizable ERP lite built for fast-growing retail brands. It helps operations teams manage purchasing, inventory, and orders across DTC, wholesale, and 3PL — without needing a full-time ERP admin, multi-year contracts, or expensive agency support.\n\n[Product Demo](https://youtu.be/tzSZw3MEIk0)\n\n🟣 **Fast to deploy:** Launch your first module in weeks — not months or years — with preconfigured views for purchasing, inventory, and order workflows \n\n🟣 **API-first & low-code:** Seamlessly integrate with any tool like Shopify or ShipStation, or easily build custom modules.\n\n🟣 **Flexible**: Don’t change your operations to accommodate your software. Whether you're juggling DTC + wholesale orders or creating products in-house, Tailor’s modular and headless architecture adapts to you.\n\n🟣 **Modern UI**: An intuitive frontend that ops teams love to use, plus the flexibility to ship beautiful customer-facing experiences \n\n**HubSpot** filled a gap for SMBs who couldn’t compete with **marketing** from enterprise giants using enterprise tools and budgets. **Tailor Omakase** does the same for **retail and ecommerce brands** when it comes to **operations**.\n\n### **🔧 What’s under the hood**\n\nTailor Omakase runs on the same powerful [platform](https://www.tailor.tech/platform) we use to build internal tools and custom workflows for global enterprises.\n\n* **Instant CRUD APIs**: Generate GraphQL/REST APIs from schema definitions in seconds, complete with validation, filtering, pagination, and relationships.\n* **Composable backend**: Launch headless apps with custom logic, workflows, and event triggers without writing boilerplate code.\n* **50+ pre-built integrations**: Seamlessly connect to Shopify, QuickBooks, 3PLs, and more using Tailor’s API-first architecture.\n* **Automation-ready**: Use Pipelines, Functions, and Event Triggers to automate business logic and cross-system workflows.\n* **State machine support**: Handle complex approval flows and record-level transitions using schema-defined states.\n* **AI-native tools**: Enable vector search, parse documents with OCR, and integrate LLMs from OpenAI, Anthropic, or open-source models like Llama.\n* **_Coming soon —_** **_Fabrix_**: Auto-generate UI components from GraphQL schemas using Tailor’s open-source framework, Fabrix\n\n### **🏅 Our early customers**\n\n* A strategic textile supplier to a $20B+ global clothing retailer\n* A Japan-based hospitality company generating nearly $1B in annual revenue\n* A custom jewelry company growing sales across Shopify, Pinterest, Etsy, TikTok and Amazon\n\n### **🙏 Asks**\n\nKnow a **retail brand** trying to scale operations and growth? Send them our way at [yo@tailor.tech](mailto:yo@tailor.tech) or [patrick@tailor.tech](mailto:patrick@tailor.tech), share this post or book a demo [here](https://www.tailor.tech/demo)!\n\n🎁 We’re offering Tailor Omakase **free for the first year** (core modules) to any company that mentions they heard about us from YC.\n\nTailor Omakase is especially helpful for:\n\n* Companies **managing inventory** and orders in spreadsheets or Airtable\n* **Shopify** stores selling both DTC and wholesale/B2B\n* **Light manufacturing** or **kitting** **operations** (think skincare, make-up, customizable apparel/jewelry, made-to-order products)\n* Teams using **QuickBooks** that need better financial visibility into COGS, PO, or inventory", "url": "https://www.ycombinator.com/launches/NjF-tailor-omakase-curated-headless-erp-for-fast-growing-retail-brands", "votes": 28, "created_at": "2025-06-11T14:07:08.560Z" } ] }, { "id": 26726, "name": "ilumadata", "slug": "ilumadata", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/66d4cb68e2a9b002d6e82fe002cef40a30254971.png", "website": "https://www.ilumadata.io/", "all_locations": "London, England, United Kingdom; Sydney, NSW, Australia; Remote", "long_description": "We’re retool for data pipelines. We allow less-technical people to edit data pipelines, with easy to use tools.", "one_liner": "Confidently ship analytics code faster with fewer errors", "team_size": 2, "industry": "B2B", "subindustry": "B2B -> Analytics", "launched_at": 1657474709, "tags": [ "Developer Tools", "B2B", "Analytics", "Enterprise", "Data Engineering" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2022", "status": "Inactive", "industries": [ "B2B", "Analytics" ], "regions": [ "United Kingdom", "Australia", "Europe", "Oceania", "Remote", "Fully Remote" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/ilumadata", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2022/ilumadata.json", "year_founded": 2022, "city": "London", "country": "GB", "linkedin_url": "https://www.linkedin.com/company/ilumadata", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/66d4cb68e2a9b002d6e82fe002cef40a30254971.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": null, "founders": [ { "user_id": 1006154, "full_name": "Luke Singham", "title": "Founder", "founder_bio": "Formerly, Data Platform Engineer and data lead at Monzo, previously at Palantir working across the commercial and government sectors. Over 10 years in the data industry.", "is_active": false, "linkedin_url": "http://linkedin.com/in/lukesingham", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/5aeccb33236c162e1e0eed45e0a9601c3e75e914.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 64710, "title": "ilumadata - Confidently ship analytics code faster with less errors", "tagline": "ilumadata is a single workspace for the modern data stack, enabling data teams to ship 3x more analytics code with fewer errors", "body": "Hey YC,\n\nWe’re [Luke Singham](https://www.linkedin.com/in/lukesingham/) and [Matt Sutton](https://www.linkedin.com/in/matthew-sutton-02290984/), co-founders of [ilumadata](http://ilumadata.io).\n\nilumadata helps data teams make changes faster, with confidence. Catch mistakes before shipping. And when debugging, pinpoint the source of failures–fast.\n\n## 🤓 Who is it for?\n\nData teams in large organisations feeling the pain of scaling data teams: struggling with broken pipelines, or taking too long to make changes.\n\n## ❓The ask + can I try it?\n\nIf you fit this 👆category or know someone who does, we’d love to talk to you!\n\nEmail us at [founders@ilumadata.io](mailto:founders@ilumadata.io) or request a demo at [ilumadata.io](http://ilumadata.io)\n\n## 😩 The problem - why we built ilumadata\n\nAt Monzo, I experienced a growing number of pains as we scaled the data team:\n\n* Onboarding new team members took days to weeks\n* Debugging broken pipelines took hours to fix because information was hard to piece together\n* It was hard to know the impacts downstream of changes you made\n* Difficult to know who owns the data, who uses it or if it is even used at all\n\n## ✅ The solution\n\nilumadata is a single workspace for the modern data stack, enabling data teams to ship 3x more analytics code with less errors:\n\n* Onboard new team members in under 60 seconds with a cloud hosted environment.\n* Learn, manage, version control, validate and test your pipeline in one workspace.\n\n ![uploaded image](https://www.ilumadata.io/img/demos/modify-pipeline.gif)\n\n* Mock out pipeline architecture like you would in a flow chart tool, with code you can use!\n\n ![uploaded image](/media/?type=post&id=64710&key=user_uploads/89898/8359ad36-b8a2-4985-9f4d-396a3b54062f)\n\n* Debug, optimise and resolve your pipelines issues, fast.\n\n ![uploaded image](/media/?type=post&id=64710&key=user_uploads/89898/29a51ad9-2ba1-4ee0-b44d-9377c600eeba)\n\n", "url": "https://www.ycombinator.com/launches/Gpi-ilumadata-confidently-ship-analytics-code-faster-with-less-errors", "votes": 24, "created_at": "2022-07-18T21:37:33.587Z" } ] }, { "id": 26860, "name": "NewsCatcher", "slug": "newscatcher", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/4e6df1d33e5151e6b36a83a91e94b8bb2550c930.png", "website": "https://newscatcherapi.com/", "all_locations": "Kyiv, Ukraine; Remote", "long_description": "CatchAll by NewsCatcher is a recall-first web search API built for queries where the results are spread across hundreds or thousands of pages on the web. Instead of returning the top ranked links like traditional search engines, CatchAll retrieves a large candidate set from the web, validates which pages actually match the query, and extracts structured records of real-world events.\r\n\r\nDevelopers and data teams use CatchAll to answer “long-list” questions such as tracking regulatory actions, funding rounds, product launches, corporate expansions, or cybersecurity incidents. The output is not just links but clean, deduplicated datasets that can power AI agents, monitoring systems, analytics pipelines, and market intelligence workflows.\r\n\r\nCatchAll runs on the data infrastructure developed by NewsCatcher, which continuously indexes millions of articles and public web pages across a global network of sources.", "one_liner": "Turning the web into a structured database of real world events.", "team_size": 22, "industry": "B2B", "subindustry": "B2B -> Analytics", "launched_at": 1659698356, "tags": [ "SaaS", "Enterprise", "Big Data", "Enterprise Software", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Summer 2022", "status": "Active", "industries": [ "B2B", "Analytics" ], "regions": [ "Ukraine", "Europe", "Remote", "Fully Remote" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": [ { "question": "How did your company get started? (i.e., How did the founders meet? How did you come up with the idea? How did you decide to be a founder?)", "answer": "Me (Artem) and Maksym, childhood pals since school days and university companions, teamed up to launch NewsCatcher in February 2020. Both Data Engineers with a knack for problem-solving, we were fed up with the status quo but passionate about data, laying the groundwork for our startup. Embracing the ethos of rapid iteration, we wasted no time, kicking off our journey by creating a Telegram chat dubbed \"First million\".Following Y Combinator's mantra of swift action, we rolled out our beta in April 2020, fuelled by AWS credits from YC Startup School. Our early strides were apparent when a Python package we crafted gained traction on Reddit, attracting a flurry of sign-ups. By June 2020, we debuted our V1 product on RapidAPI, landing our first paying customer—a serendipitous encounter with a US student bound for YC W24 batch. Our trajectory continued with applications to accelerators like TinySeed and YC, ultimately opting for TinySeed's rapid application process, albeit declining YC's offer later on. With strategic hires and laser-focused growth, we had a revenue surge from $3,000 to $25,000 MRR within a year. We circled back to YC, securing entry in May 2022 with $300,000 ARR. Despite hurdles, like my temporary detour to aid the Armed Forces of Ukraine, we thrived, clinching enterprise contracts and elevating ARR to $450,000 by Demo Day. Post-YC, while grappling with revenue challenges hindering our progress, we gleaned valuable insights into customer alignment, reaffirming our dedication to efficient growth and customer-centricity." }, { "question": "How did you decide to apply to Y Combinator? What was your experience applying, going through the batch, and fundraising at demo day?", "answer": "Deciding to apply to Y Combinator was a big step for us. We wanted to take NewsCatcher to the next level, and YC seemed like the perfect fit with its reputation for helping startups succeed. In early 2021, we applied to TinySeed, Alchemist Accelerator, and YC for the third time. TinySeed offered us a spot, which we accepted, even though we also got an interview invitation from YC. We had a monthly revenue of $3,000 at that time. Over the next year, we hired Aditya, Aakash, and Ibrahim and grew our monthly revenue to $25,000. This encouraged us to apply to YC again. In May 2022, despite the challenges of the Ukraine conflict and Artem's temporary absence to help the Armed Forces, we decided to reapply to YC. Our dream came true when Michael Seibel interviewed us, and we got in. Joining YC with around $300,000 in yearly revenue, we embraced their focus on fast growth and solving real problems. Throughout the program, we learned a lot from mentors and other founders. By Demo Day, our yearly revenue had grown to $450,000. After YC, Artem spent two days fundraising and found a great investor in Uncommon Capital, led by Jamie Quint. We also got support from other YC alums." }, { "question": "How have you kept in touch with the YC community and continued to use YC resources & programs since the batch ended?", "answer": "Staying connected with the YC community has been super important for us as we figure out life after our time in the batch with NewsCatcher. We've been using all the cool stuff YC offers to help us grow and get better. Their knowledge base has been a goldmine of tips and tricks that have really helped us make NewsCatcher bigger and better.We've also been talking to other folks in the YC community for advice on running our business and bouncing around ideas. It's been awesome to have a bunch of other founders and experienced mentors cheering us on and giving us advice as we tackle the challenges of starting up.Plus, we've been taking advantage of discounts YC offers for different services, which has been a huge help in making our operations smoother and saving us some money. The YC community has been super generous in sharing their resources and expertise, and we're really grateful for all the support and camaraderie. It's been a big part of our journey as founders, and we couldn't have done it without them!" }, { "question": "What's the history of your company from getting started until the present day? What were the big inflection points?", "answer": "**February 2020:** me and Maksym, both Data Engineers, co-found NewsCatcher driven by a shared passion for data and dissatisfaction with existing solutions. **April 2020:** Launch of NewsCatcher's beta, followed by the release of V1 product on RapidAPI in June, attracting first paying customers. **January-February 2021:** Joining TinySeed accelerates growth, leading to rapid revenue increase and team expansion. **May 2022:** Reapplication and acceptance into Y Combinator highlight commitment to excellence and innovation. **2023:** NewsCatcher experiences significant growth, achieving an ARR of $1.13 million. **2024:** Setting ambitious goals, aiming to grow ARR to $3.7 million. Focus on building scalable customer success processes to maximize retention and upsells. Additionally, hiring first Account Executives to drive sales growth and expand market reach." }, { "question": "What is the core problem you are solving? Why is this a big problem? What made you decide to work on it?", "answer": "NewsCatcher is all about tackling the big challenge of making real-time news data easy to access from a wide range of sources. Many businesses and researchers struggle to get up-to-date info for things like market analysis, trend tracking, and content creation. It's a pain to manually gather news from lots of places—it takes forever and isn't very efficient. We decided to tackle this problem because, as Data Engineers ourselves, we know the frustration of trying to get good news data for projects. We realized that making this info more accessible could have a huge impact, so we decided to use our skills to do something about it.With NewsCatcher, our goal is to make real-time news data available to everyone. We've gathered news from over 70,000 sources and made it easy and affordable for anyone who needs it. We believe that by solving this problem, we can help spark innovation and improve decision-making.We're all about prioritizing data quality, adaptability, great customer service, and keeping things simple. That way, our customers can always count on getting the news they need to succeed." }, { "question": "What is your long-term vision? If you truly succeed, what will be different about the world?", "answer": "Our long-term vision for NewsCatcher is to change the game when it comes to how businesses get and use news data, making the business world more informed and connected. If we truly succeed:\\* Businesses of all sizes will have equal access to real-time news data.\\* Decision-making across industries will be more informed and agile.\\* Innovation will be accelerated, driving economic growth.\\* Transparency and accountability in business operations will be enhanced.\\* Global connectivity and collaboration among businesses will be strengthened.Basically, we want to give businesses the tools they need to succeed in today's fast-paced and interconnected global market." } ], "url": "https://www.ycombinator.com/companies/newscatcher", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2022/newscatcher.json", "year_founded": 2021, "city": "Kyiv", "country": "UA", "linkedin_url": "https://www.linkedin.com/company/newscatcherapi/?viewAsMember=true", "x_url": "https://twitter.com/newscatcherapi", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/4e6df1d33e5151e6b36a83a91e94b8bb2550c930.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": null, "founders": [ { "user_id": 444913, "full_name": "Artem Bugara", "title": "Founder", "founder_bio": "Artem Bugara is the co-founder, CEO of NewsCatcher. Artem works with data and risk teams to help them integrate actionable signals from online news. Previously he ran a team of data engineers for one of the largest underwriting companies within the aviation, energy, and space insurance sectors.\n\nHe earned a degree in Econometrics from Toulouse School of Economics. ", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/artem-bugara/", "x_url": "https://twitter.com/bugaralife", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/717c77848f35ff3f50a1978f5ec2430ab5b55273.jpg" }, { "user_id": 472880, "full_name": "Maksym Sugonyaka", "title": "Founder", "founder_bio": "Maksym Sugonyaka is the co-founder and CTO of NewsCatcher. After one year of a stable job, Maksym understood that the only place where he could realize his potential was entrepreneurship. Now in NewsCatcher, Maksym is the one to take key strategic and technical decisions in order to make the best News API on the market. \n\nHe has a Master's Degree in Data Science and Finance from Paris Sorbonne. But then, he became a self-taught Data Engineer. \n\n", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/msugonyaka/", "x_url": "https://twitter.com/kizy625", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/0d3748b7ed0c74799452205a4a62beb4d707d66b.jpg" } ], "jobs": [ { "id": 92394, "title": "Software Engineer (Backend & LLM)", "url": "https://www.ycombinator.com/companies/newscatcher/jobs/cuGf2UW-software-engineer-backend-llm", "location": "LB / UA / PL / LT / RO / Remote (LB; UA; PL; LT; RO)", "type": "Full-time", "role": "Engineering", "role_type": "Backend", "salary_range": "$60K - $85K", "equity_range": "0.10% - 0.30%", "experience": "3+ years", "visa": "US citizenship/visa not required", "skills": [ "Kubernetes", "Python", "Docker" ] } ], "news": [], "launches": [ { "id": 99812, "title": "CatchAll: Recall-first web search API", "tagline": "Turning the web into a structured database of real-world events", "body": "Hello, hackers! We’re Artem and Maksym, founders of NewsCatcher.\\\n\\\nWe’re building a structured, event-centric index of what happens in the real world. Today, that starts with CatchAll — a recall-first search API that finds all relevant matches to a query, extracts structured facts, and delivers clean, ready-to-use datasets.\\\n\\\n\\\n\\\n**The problem**\\\nTraditional web search — and most search APIs — were designed for humans. They optimize for **speed and ranking**, which works well when one page contains the answer:\n\n* “Who is the CEO of a company?”\n* “What’s the latest acquisition in X?”\n\nBut many high-stakes questions don’t have a single answer:\n\n* _All_ regulatory actions affecting an industry\n* _Every_ cybersecurity incident in a given week\n* _All_ funding rounds, policy changes, or facility expansions\n\nIn these cases, **recall is everything**.\\\nIf 200 valid events exist and your system surfaces 5, your recall is 2.5%. No amount of prompting or post-processing fixes that.\n\nLLMs and “deep research agents” haven’t solved this. They still open and read pages one by one, hit context limits, and end up sampling rather than exhausting a topic.\n\n\\\n**The solution**\\\nCatchAll is a recall-first web search API built for long-list answers — answers distributed across the open web.\n\nCatchAll:\n\n* Pulls a large candidate set from NewsCatcher’s proprietary web index (often tens of thousands of pages)\n* Validates which pages actually match the criteria\n* Extracts structured fields (companies, dates, locations, actions, amounts — defined by the user)\n* Normalizes and deduplicates everything into clean records\n\nThe output isn’t links.\\\nIt’s a dataset that didn’t exist before — and can be kept up to date by turning the query into a **live monitor**.\n\nFor teams, the end result is fewer searches and more reliable alerts.\\\n\\\n**Backstory**\\\nMaksym and I have known each other for almost 20 years. NewsCatcher is our first startup — we've been building it since 2020. It started as a bootstrapped self-serve news API for startups, and then grew into custom enterprise solutions (powering the US Department of State, Transparency International, Samsung, 50+ enterprise clients). CatchAll is us coming back to self-serve: same infrastructure, now optimized for the AI agent ecosystem.\\\n\\\nSign up [here](https://platform.newscatcherapi.com/catchall?utm_source=launch_yc&utm_medium=social&utm_campaign=Launch_YC_CatchAll&utm_id=catch_all_YC), test CatchAll (for free), and give us feedback (we’ll 5x your credits!).\\\n\\\nShare your use-cases:\\\n[artem@newscatcherapi.com](mailto:artem@newscatcherapi.com) or DM on [https://www.linkedin.com/in/artem-bugara](https://www.linkedin.com/in/artem-bugara/)\n\n![uploaded image](/media/?type=post&id=99812&key=user_uploads/444913/74de4236-76fc-4c2b-8ef4-d02248dd0837)\n\n", "url": "https://www.ycombinator.com/launches/Pxs-catchall-recall-first-web-search-api", "votes": 5, "created_at": "2026-04-16T15:13:11.193Z" }, { "id": 65153, "title": "NewsCatcher - News API for risk and data teams", "tagline": "We help data and risk enterprise teams get instant access to machine-readable news from over 40,000 online news sources", "body": "**tl;dr:** We make it easy for data, market research, and risk teams to integrate machine-readable news feed into their internal analytics system. \\\n\\\nHey Fam, we're [Artem](https://www.linkedin.com/in/artem-bugara/) and [Maksym](https://www.linkedin.com/in/msugonyaka/) and we're building [NewsCatcher](https://newscatcherapi.com/). We're on a mission to empower data-driven organizations with the highest quality and easiest-to-use News API. \\\n\\\n**❌ The Problem**\n\nIt’s easy to consume news as a human: you open Google News and read.\n\nNow, imagine:\n\n* you work for a bank, and you have to perform negative news searches for all new & existing accounts for anti-money laundering & financial crime checks\n* you work for a PR firm that has to monitor news mentions on your clients and their competitors\n* you’re an analyst in an investment firm, and you need to calculate news sentiment for each company on the market over the past N years\n* you want to show relevant news to the users on your app to make them spend more time on it\n\n“Humans reading the news” is not a scalable way to resolve a problem anymore, and it’s expensive.\n\n**✨ Our Solution**\n\nSearch and integrate news with code. Find news articles by any topic, country, language, website, or keyword with REST JSON News API.\\\n**Go ahead, and make some API calls on our** [**demo page**](https://demo.newscatcherapi.com/)**.**\n\nWe’ve built a generic news crawler that automatically finds new articles, normalizes them, and indexes them. So, you can now automate the news consumption and analysis via an API.\n\nYou can read more over this [link](https://docs.newscatcherapi.com/knowledge-base/how-newscatcher-works) from our knowledge base.\n\nHere is how an article would look in our search:\n\n![uploaded image](/media/?type=post&id=65153&key=user_uploads/444913/1c4d6e37-3e46-4c2a-a864-a969a80279e4)\n\n\\\nTop 3 use cases from our clients:\n\n* **risk intelligence**: find insights in the news before they get visible in financial reports days or months later\n* **integrate news** into your app\n* **media monitoring** on millions of companies all around the world\n\n\\\n\\\n**🙏 Asks**\n\n1. Try our News API: claim your [API key](https://app.newscatcherapi.com/auth/register), or/and [book a technical session with us](https://savvycal.com/newscatcher/chat)\n2. Are you experienced with extracting data from HTML, or you’re an NLP expert? We’d love to chat!", "url": "https://www.ycombinator.com/launches/Gwr-newscatcher-news-api-for-risk-and-data-teams", "votes": 46, "created_at": "2022-08-05T13:27:00.532Z" } ] }, { "id": 26884, "name": "Alphawatch AI", "slug": "alphawatch-ai", "former_names": [ "StableBank", "AlphaWatch AI", "RaptorGrid" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/446e9f4bf87776b8fa9dfd70c551f35885fd6463.png", "website": "https://alphawatch.ai", "all_locations": "San Francisco, CA, USA; Remote", "long_description": "Rolo is a new product by Alphawatch AI allows deal teams to track and develop banker, GP, and target relationships.", "one_liner": "Relationship Coverage for Deal Teams", "team_size": 8, "industry": "Fintech", "subindustry": "Fintech", "launched_at": 1675123352, "tags": [ "Generative AI", "Finance", "Enterprise", "AI Assistant" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2023", "status": "Active", "industries": [ "Fintech" ], "regions": [ "United States of America", "America / Canada", "Remote", "Fully Remote" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/alphawatch-ai", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2023/alphawatch-ai.json", "year_founded": 2023, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/alphawatch-ai", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/446e9f4bf87776b8fa9dfd70c551f35885fd6463.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Harj Taggar", "url": "https://www.ycombinator.com/people/harj-taggar" }, "founders": [ { "user_id": 1048469, "full_name": "Jackson Chen", "title": "Founder", "founder_bio": "Founder at Alphawatch AI. Previously at Plaid & Google.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/jchen8630/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/574e3ca529dc4c3fada2246d0ec1d57b06250e01.jpg" } ], "jobs": [], "news": [], "launches": [] }, { "id": 26898, "name": "Diversion", "slug": "diversion", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/3cca9dfc5d45583f86876ecd0b8110e7412ab6cd.png", "website": "https://diversion.dev", "all_locations": "Tel Aviv-Yafo, Tel Aviv District, Israel", "long_description": "Diversion is a modern alternative to Perforce and Git, designed for digital entertainment industries like games, virtual production, animation, and 3D/VR. It streamlines collaboration by providing GitHub-like version control for large files and complex projects, integrating seamlessly with tools like Unreal Engine. Built for studios handling massive assets, Diversion ensures efficient workflows, secure storage, and effortless tracking of project history, making it the go-to platform for creative teams managing evolving digital content.", "one_liner": "A scalable, cloud-native Perforce and Git alternative", "team_size": 14, "industry": "B2B", "subindustry": "B2B -> Engineering, Product and Design", "launched_at": 1660930915, "tags": [ "SaaS", "Virtual Reality", "Enterprise", "Cloud Computing" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2022", "status": "Active", "industries": [ "B2B", "Engineering, Product and Design" ], "regions": [ "Israel", "Middle East and North Africa" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/diversion", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2022/diversion.json", "year_founded": 2021, "city": "Tel Aviv-Yafo", "country": "IL", "linkedin_url": "https://www.linkedin.com/company/79021186", "x_url": "https://twitter.com/diversion_hq", "fb_url": null, "cb_url": "https://www.crunchbase.com/organization/diversion-company", "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/3cca9dfc5d45583f86876ecd0b8110e7412ab6cd.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Nicolas Dessaigne", "url": "https://www.ycombinator.com/people/nicolas-dessaigne" }, "founders": [ { "user_id": 1014744, "full_name": "Sasha Medvedovsky", "title": "Founder", "founder_bio": "A software engineer, engineering manager and product manager with 20+ years of experience.\nServed as an officer in an elite Israeli cyber-intelligence unit (8200).\nCo-founded Leprechaun (bootstrapped to high profitability, sold in 2012) and Adience (sold in 2015).\nMSc. in Computer Science and MBA from Tel Aviv University, cum laude.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/sasha-medvedovsky-10b2381/", "x_url": "https://twitter.com/sasham1", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/51a46a1920ae902653505277a00f01f4b0dd7418.jpg" } ], "jobs": [], "news": [], "launches": [] }, { "id": 26912, "name": "Quinn", "slug": "quinn", "former_names": [ "iollo" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/bbcdfea1d8de2241298588710c23af6fc6a61bf6.png", "website": "https://www.quinnbio.com", "all_locations": "San Francisco, CA, USA", "long_description": "Quinn is your biopharma team. From molecule design to portfolio strategy, Quinn delivers comprehensive reports and supporting analyses, models and designs in 3–5 days instead of months.", "one_liner": "Your biopharma team, from molecule design to portfolio strategy", "team_size": 5, "industry": "Healthcare", "subindustry": "Healthcare -> Drug Discovery and Delivery", "launched_at": 1656567327, "tags": [ "Generative AI", "Biotech", "Enterprise", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2022", "status": "Active", "industries": [ "Healthcare", "Drug Discovery and Delivery" ], "regions": [ "United States of America", "America / Canada", "Remote", "Partly Remote" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/quinn", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2022/quinn.json", "year_founded": 2022, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/quinnbio/", "x_url": "https://twitter.com/iollohealth", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/bbcdfea1d8de2241298588710c23af6fc6a61bf6.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": null, "founders": [ { "user_id": 822976, "full_name": "Daniel Gomari", "title": "Founder/CEO", "founder_bio": "Daniel Gomari is the founder and CEO of Quinn. A Stanford postdoc and PhD in Computational Biology, his work spanned ML for drug repurposing across cancer and metabolic disease, and multi-omics studies on aging and lifespan extension. He built Quinn after watching the pharma industry make billion-dollar R&D decisions on intuition and slide decks instead of computational evidence.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/daniel-gomari/", "x_url": "https://twitter.com/daniel_gomari", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/fb9dfbccdfd74d1e389c4c84aa5cd5f5664ed3ae.jpg" } ], "jobs": [], "news": [], "launches": [] }, { "id": 27154, "name": "Superbar", "slug": "superbar", "former_names": [ "Caddie", "Caddie AI", "Superbar (Formerly Caddie)" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/00fd47f91143cc8393a67e9aa539ee075762df08.png", "website": "http://www.superbar.ai", "all_locations": "Toronto, ON, Canada; Remote", "long_description": "Superbar instantly answers questions on your website and drives conversions 24/7.
It's like having a top salesperson on every page.\r\n", "one_liner": "Sales AI for your Website", "team_size": 7, "industry": "B2B", "subindustry": "B2B -> Marketing", "launched_at": 1656364678, "tags": [ "SaaS", "B2B", "Marketing", "Enterprise" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2022", "status": "Active", "industries": [ "B2B", "Marketing" ], "regions": [ "Canada", "America / Canada", "Remote", "Fully Remote" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/superbar", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2022/superbar.json", "year_founded": 2021, "city": "Toronto", "country": "CA", "linkedin_url": "https://www.linkedin.com/company/superbar-ai", "x_url": "https://twitter.com/trycaddie", "fb_url": "https://www.facebook.com/Caddie-110256095067498/", "cb_url": "https://www.crunchbase.com/organization/caddie-72ba", "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/00fd47f91143cc8393a67e9aa539ee075762df08.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Nicolas Dessaigne", "url": "https://www.ycombinator.com/people/nicolas-dessaigne" }, "founders": [ { "user_id": 26756, "full_name": "Alan Nowogrodski", "title": "Founder", "founder_bio": "Alan is the Founder and CEO of Superb. He previously was a Head of Product for the payments and mobile business at FreshBooks. He started as a PM and built the unit from $0 to $30M+ in annual revenue in under 5 years. Alan later joined NinjaCat as a VP of Product Management and member of the executive team. He took additional responsibilities as VP of Marketing and VP of Engineering Operations. \n\nHe started his career by building a web development company in the early 2000s while in high school.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/alannowogrodski/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/595c768c02a79f3c835377da826ddd1916a9f51e.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 64194, "title": "🚀 Caddie - Schedule Meetings & Qualify Inbound Leads", "tagline": "Automate your inbound lead qualification and book more meetings!", "body": "# Book More Demos from Your Website\n\n[Watch a Demo](https://youtu.be/72TtCntEkac)\n\n### 😄 **About Us** → Our Customers Were Pissed Off, So We Did Something About It\n\nIn our past life, Marshall and I led sales and marketing teams. More recently, we asked ourselves:\n\n* Why does conversion in B2B websites suck (from Visitor to a Demo Booked)?\n* Why do we keep hearing complains that customer just “want a F\\*&!ng demo!”?\n\nWe explored solutions to fix this and Caddie hit us in the face.\n\n### **🤬** Problem → Too Much Friction to Request a Demo\n\n* **Friction is Killing Leads** → 83% of interested buyers never make it to a demo because there are too many steps to get a demo.\n* **Speed Matters →** 74% of buyers purchase from the first company they see a demo from.\n* **Have SDRs do Qualification Calls? →** Adding an SDR qualification step leads to 30% drop-off in pipeline. In addition, they are expensive and hard to hire.\n\n## 🚀 Solution → Make It Easy to Schedule & Qualify\n\n* Build a personalized **demo** **scheduling experience.**\n* **Qualify inbound** leads by asking simple questions.\n* Using logic and point scoring, **route** to the right Account Exec.\n* Finally, allow qualified prospects to **schedule a demo** on the spot.\n\nTry a demo by going to [trycaddie.com](http://trycaddie.com)\n\n**Using Calendly? →** We allow you to qualify prospects before bad leads jam your calendar. In addition, we shorten your contact form by getting key insights from a database of 200M+ records so you don’t need to ask for “First Name”, “Company”, “# of employees”. The result is 50%+ more qualified leads than with Calendly.\n\n## 💰 The Impact → 2X More Demos, Faster Deal Speed, No Need for SDRs to Qualify Manually.\n\n* Book 2X more demos by removing friction.\n* Improve speed from lead to opportunity by 50% by cutting steps.\n* Have SDRs qualifying leads? → Cut $100,000s in costs.", "url": "https://www.ycombinator.com/launches/GhO-caddie-schedule-meetings-qualify-inbound-leads", "votes": 32, "created_at": "2022-06-29T20:32:47.116Z" } ] }, { "id": 27174, "name": "Monterey AI", "slug": "monterey-ai", "former_names": [ "Insomnia Club", "Insomnia", "Monterey" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/f48239f9a1517325be5c82710b744c4990ffc846.png", "website": "http://www.monterey.ai", "all_locations": "San Francisco, CA, USA; Remote", "long_description": "Monterey AI helps companies understand what actions to take to improve engagement and reduce churn by setting up user feedback channels, auto-collecting, and analyzing qualitative feedback and quantitative data from multiple sources.", "one_liner": "Turn user feedback to product insights", "team_size": 6, "industry": "B2B", "subindustry": "B2B -> Engineering, Product and Design", "launched_at": 1656519896, "tags": [ "Generative AI", "Productivity", "Enterprise", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2022", "status": "Acquired", "industries": [ "B2B", "Engineering, Product and Design" ], "regions": [ "United States of America", "America / Canada", "Remote", "Fully Remote" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/monterey-ai", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2022/monterey-ai.json", "year_founded": 2022, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/monterey-ai", "x_url": "https://twitter.com/montereyai", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/f48239f9a1517325be5c82710b744c4990ffc846.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Harj Taggar", "url": "https://www.ycombinator.com/people/harj-taggar" }, "founders": [ { "user_id": 809138, "full_name": "Chun Jiang", "title": "Founder", "founder_bio": "Chun is the co-founder and CEO of Monterey AI. Previously led products and design at companies like Unfolded (acquired by Foursquare), Scale AI, and Uber. Chun graduated from Cornell in 2018, and has been obsessed with building the most ambitious and delightful Data and AI products in productivity, developer tooling, and autonomous vehicles. ", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/chunonline/", "x_url": "https://twitter.com/chunonline", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/bec3819b8324d423230b63bdaaacce47c747e341.jpg" } ], "jobs": [], "news": [ { "title": "7 AI startups that stood out in YC's Summer '22 batch", "url": "https://techcrunch.com/2022/09/08/7-ai-startups-that-stood-out-in-ycs-summer-22-batch/", "date": "Sep 08, 2022" } ], "launches": [ { "id": 80330, "title": "🌟 Monterey AI 2.0: AI-native user insights platform — feedback, survey, roadmap, and more", "tagline": "The easiest way to aggregate, conduct, triage, and analyze user feedback across support tickets, transcripts, and social media mentions", "body": "**TL;DR**\n\nAggregate, triage, and analyze user feedback, tickets, conversations, surveys, and transcripts - smarter, together, and at scale. [Monterey AI](https://monterey.ai) is the most powerful AI native insights platform for decoding the voices of customers and the next growth opportunities.\n\n# [**⭐ Click here to book a demo call ⭐**](https://cal.com/chunonline/monterey-demo)\n\n![uploaded image](/media/?type=post&id=80330&key=user_uploads/809138/ef5f3408-f42f-413f-a1f0-cf5d659ecd44)\n\n**🤕 Problem**\n\nAlmost all customer conversations in all customer channels have enormously valuable user insights that have never been mined to their full potential. Most companies are not utilizing them enough; this damages the speed of decision-making and slows down execution. Breaking down the problem into three key issues:\n\n* Support tickets, transcripts, and surveys are extremely messy (format, scale, and cadence);\n* Too much noise to filter - everyone wants to listen to users more, but listening at scale is hard;\n* It’s high-stakes decision-making and has a low-risk tolerance towards hallucination.\n\n# [**⭐ Click here to book a demo call ⭐**](https://cal.com/chunonline/monterey-demo)\n\n**🎉 Solution**\n\nWith Monterey AI, you can connect with data sources like **Zendesk, Front, Intercom, Gong, Salesforce, HubSpot, App Store, Google Play Store, and Snowflake, in one click or via API**. Monterey AI automatically extracts, categorizes, and triages the conversations based on company or business concepts.\n\n* **Proactive insights delivery:** Instant, accurate answers. It’s an AI Analyst proactively delivering insights to the team, and it’s an instant always-on copilot to help you fetch relevant data and navigate noises.\n* **All-in-one experience management:** feedback analytics is just part of the platform, you can also mix and match other ai first solutions that we provide as part of the package: widget, a roadmap with AI suggestions, personalized customer communications, and AI semi-moderated user survey.\n\n![uploaded image](/media/?type=post&id=80330&key=user_uploads/809138/71a5de43-a44f-4d40-a79c-315cbca311b1)\n\n![uploaded image](/media/?type=post&id=80330&key=user_uploads/809138/01f894a5-4c6e-4648-ae59-0770865d0f50)\n\n![uploaded image](/media/?type=post&id=80330&key=user_uploads/809138/226cf965-9910-487f-a838-1eba71956e65)\n\n![uploaded image](/media/?type=post&id=80330&key=user_uploads/809138/a749c106-784e-4b9c-83f1-c771dd94cd04)\n\n**👀 Comparing Monterey AI to other Solutions**\n\n* **Onboarding & adoption:** Analytics product notoriously has the challenge of onboarding; you are onboarding the data, the user, and the organization. Monterey AI has all native integration with data sources like Zendesk, Front, Intercom, Salesforce, HubSpot, and a robust API platform to directly pull data from your data warehouse. It assures the easiness of data onboarding, and on the other side, the speedy and sleek user experience of the platform makes sure this is something users can get value, right away.\n* **Clear ROI and Performance:** In the most recent case study, we **save one department in the organization 3,840 manual hours annually in total**. \n* **Security and privacy:** The way to evaluate AI solutions for highly sensitive data is different.\n* **Auto improving from user interactions and data:** We invest significant time and resources in making sure the platform is scalable and adaptable to your business and needs. Every new data point and interaction you perform in the workspace is directly fed into the model sets for you with auto improvement. You don’t need to depend on giant model improvement, bear any risk from “human annotation” services from vendors, and spend extra internal engineering resources making it work.\n\n# [**⭐ Click here to book a demo call ⭐**](https://cal.com/chunonline/monterey-demo)", "url": "https://www.ycombinator.com/launches/Kte-monterey-ai-2-0-ai-native-user-insights-platform-feedback-survey-roadmap-and-more", "votes": 120, "created_at": "2024-04-22T17:39:43.610Z" }, { "id": 64189, "title": "🐳 Monterey - Co-pilot for product development", "tagline": "Monterey boosts and guards product velocity for hyper growing teams, smartly.", "body": "👋 [Chun](https://www.linkedin.com/in/chunonline/) and [Ben](https://www.linkedin.com/in/benmkramer/) here introducing [Monterey AI](https://www.monterey.ai/) to you!\n\n### **TL;DR:**\n\n🐳 Monterey is building the **co-pilot for product development**. We do this by replacing documents with smart use-case-centric workflows that help you strategize, measure, and align.\n\n### **Who is it for**\n\nProduct leads (whether a founder, engineer, product manager, designer, etc.) who are looking to escape from burdensome documents and get back to what they are good at. No more spending hours and days on\n\n1. looking for best practice of product development online\n2. convincing your team to adopt the process\n3. repeatedly communicating and reporting strategies and progress\n4. worrying about cross-team dependencies\n5. managing several products in numerous documents and task management tools\n\n### **How it works**\n\n1. Pick a product template based on your use case\n2. Configure input and share with your team\n3. Check dependencies and solve conflicts\n4. Run, report, retro, and repeat\n\n![uploaded image](/media/?type=post&id=64189&key=user_uploads/809138/4340dbb8-f79a-485a-894f-8f044aeb2498)\n\n### **Why we built it**\n\n💪 We started Monterey AI to solve a problem that we’ve experienced at startups ranging from 10 to 10,000 people: **the product velocity gets slow and inefficient as company scales.** We built Monterey to\n\n1. Get teams out of verbose documents and into guided **workflows** that can be visually configured and shared\n2. Speed up product development by exposing and sharing **best practices**\n3. Discover cross-team conflicts and dependency by running **Monterey Bot**\n4. Initiate outcome driven conversations with **slack integration**\n5. Provide a birds eye **portfolio view** to align across features, products, and teams\n\n### **Can I try it**\n\n1. Want to try it? Sign up on [the website](https://www.monterey.ai/) or email ([chun@monterey.ai](mailto:chun@monterey.ai)) and we’ll help you get started!\n2. Have feedback or have friends in need of Monterey? Come be our super design, [join our Slack](https://join.slack.com/t/monterey-ai/shared_invite/zt-1ajkx4ur4-up_0R7TR_I4B9md29c5xbg), and [follow us on Twitter](https://twitter.com/montereyai)!\n3. 🎁 50% off any paid plan if subscribed annually before Sep.1st, 2022.", "url": "https://www.ycombinator.com/launches/GhJ-monterey-co-pilot-for-product-development", "votes": 111, "created_at": "2022-06-29T19:08:43.808Z" } ] }, { "id": 27190, "name": "Sculpt", "slug": "sculpt", "former_names": [ "aBridge", "Abridge" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/aecbe7c9746a215c5988fc9a472c03bbcb3fec72.png", "website": "", "all_locations": "Pune, MH, India", "long_description": "", "one_liner": "World Models for Aviation MROs", "team_size": 2, "industry": "B2B", "subindustry": "B2B -> Engineering, Product and Design", "launched_at": 1657149913, "tags": [ "B2B", "Manufacturing", "Enterprise" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2022", "status": "Active", "industries": [ "B2B", "Engineering, Product and Design" ], "regions": [ "India", "South Asia" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/sculpt", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2022/sculpt.json", "year_founded": 2022, "city": "Pune", "country": "IN", "linkedin_url": "https://www.linkedin.com/company/sculptcosting/", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/aecbe7c9746a215c5988fc9a472c03bbcb3fec72.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Brad Flora", "url": "https://www.ycombinator.com/people/brad-flora" }, "founders": [ { "user_id": 466754, "full_name": "Vidhi Vakharia", "title": "Founder", "founder_bio": "Founder of Sculpt. We're helping precision manufacturers automate their should-cost analysis. Ex-Adobe, Rice University CS.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/vidhi-vakharia-812a2b114", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/c0fb36b2800e3ab179e871ea581f9b3c0fd3e10a.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 65179, "title": "Abridge 🚢 Flexport for India", "tagline": "We help importers/exporters ship anything from India in just a few clicks!", "body": "Hi, we’re Vidhi and Pradhith, and we’re super excited to introduce Abridge!\n\n### **What is Abridge?**\n\nAbridge is an intelligent logistics partner for importers/exporters who want to ship freight into or out of India. We digitize the full shipment lifecycle (online freight booking, optimized container load plans, automatically generated compliance documents, and online communication channels). We make the lives of importers and exporters easier by:\n\n1. Providing shippers an online freight booker and record-keeper of all shipments.\n\n ![uploaded image](/media/?type=post&id=65179&key=user_uploads/466754/984e8c45-fef1-4709-8f95-c772a576aa67)\n\n2. Saving shippers money (5-15%!) on every container shipped by providing them with optimized container stuffing plans and minimizing wasted space inside the container.\n\n ![uploaded image](/media/?type=post&id=65179&key=user_uploads/466754/dc39cc40-f6d6-483e-8b04-8aed92506f0c)\n\n3. Automatically generating all shipping compliance documents, thus saving shippers \\~3-9 emails/shipment in co-ordinating manually generated documents.\n\n ![uploaded image](/media/?type=post&id=65179&key=user_uploads/466754/5f7390c7-8d4e-412c-97d0-84ce37cc0fdf)\n\n4. Decluttering shippers’ email, messages, and phone lines by providing a shared online workspace for all shipment related communications with easy and intuitive referencing to each shipment.\n\n ![uploaded image](/media/?type=post&id=65179&key=user_uploads/466754/394747d5-512e-4bd1-808e-357abfa4f95f)\n\n\n### **Whom is Abridge for?**\n\nIf you import/export anything in India, what has been your biggest challenge when shipping goods? Click [here](https://calendly.com/abridge-vidhi/abridge-can-help-30mins?month=2022-08) to tell us!\n\n### **Can you try Abridge?**\n\nYes, we are currently open for shipments into and out of India! You can sign up [here](https://www.abridge.dev/demo) to digitize your India import/export needs!\n\n### **How did we come to build Abridge?**\n\nMy family has been exporting auto-parts from India to the US, France, and Germany for the last thirty years. Although the main business is manufacturing, managing shipping logistics is an unnecessarily high-touch, highly manual overhead in the business’ day-to-day operations.\\\nAdditionally, Pradhith and I also got to experience the tedious logistics around importing products into India while we developed our previous business — an e-commerce retailer in India. Other companies that were suppliers to our e-commerce retailer also said they faced the same issues!\\\nA lot of these issues have digitization and automation solutions, so it’s unnecessary that every importer/exporter has to manage logistics as a separate, highly-involved project in addition to their actual business. Our goal is to be the digital logistics partner that we wanted to partner with when we were running our previous business.", "url": "https://www.ycombinator.com/launches/GxH-abridge-flexport-for-india", "votes": 39, "created_at": "2022-08-06T20:04:56.744Z" } ] }, { "id": 27251, "name": "Lotus", "slug": "lotus", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/2939eceea0905b3a2c3c34f9f16476bbc6c94309.png", "website": "http://uselotus.io", "all_locations": "New York City, NY, USA; Remote", "long_description": "Lotus is an open-core pricing and billing engine. We enable API companies to automate their custom usage-based pricing for any metric. Rather than guess on how to charge their customers, Lotus provides companies with powerful new tools from metering to invoicing to testing new pricing.\r\n\r\nOur self-hosted software is free on GitHub, and we offer a paid cloud version and enterprise tier for support.", "one_liner": "Open-Core Pricing and Billing Engine", "team_size": 2, "industry": "B2B", "subindustry": "B2B -> Finance and Accounting", "launched_at": 1659989754, "tags": [ "Fintech", "SaaS", "Open Source", "Enterprise" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2022", "status": "Inactive", "industries": [ "B2B", "Finance and Accounting" ], "regions": [ "United States of America", "America / Canada", "Remote", "Fully Remote" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/lotus", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2022/lotus.json", "year_founded": 2022, "city": "New York City", "country": "US", "linkedin_url": "https://www.linkedin.com/company/uselotusio", "x_url": "https://twitter.com/uselotusio", "fb_url": null, "cb_url": null, "github_url": "https://github.com/uselotus/", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/2939eceea0905b3a2c3c34f9f16476bbc6c94309.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": null, "founders": [ { "user_id": 987844, "full_name": "Mikael Nida", "title": "Founder/CEO", "founder_bio": "Mikael graduated from MIT with two degrees in Computer Science and Physics, and has worked at a range of companies from D.E. Shaw to Lyft.", "is_active": false, "linkedin_url": "https://www.linkedin.com/in/mikaelnida/", "x_url": "https://twitter.com/mikaelnida", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/fb39fbdea6b8cdea0467ccd6019ef6be9eaf83e8.jpg" }, { "user_id": 1188216, "full_name": "Diego Escobedo", "title": "Founder", "founder_bio": "", "is_active": false, "linkedin_url": "https://www.linkedin.com/in/diegoesc", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/5bb7700b6f866388fbbb7266751d08389d778fc2.jpg" } ], "jobs": [], "news": [], "launches": [] }, { "id": 27264, "name": "Dev Tools AI", "slug": "dev-tools-ai", "former_names": [ "Dev Tools", "Dev Tools AI", "Radiant" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/52816343555456026d1de1250894ad8361d57799.png", "website": "https://dev-tools.ai", "all_locations": "San Francisco, CA, USA", "long_description": "We help scale automation leveraging LLMs and computer vision", "one_liner": "AI powered web & mobile automation", "team_size": 2, "industry": "B2B", "subindustry": "B2B -> Engineering, Product and Design", "launched_at": 1655134557, "tags": [ "B2B", "Productivity", "Enterprise", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2022", "status": "Inactive", "industries": [ "B2B", "Engineering, Product and Design" ], "regions": [ "United States of America", "America / Canada", "Remote", "Partly Remote" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/dev-tools-ai", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2022/dev-tools-ai.json", "year_founded": 2022, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/radiant-company", "x_url": "", "fb_url": null, "cb_url": null, "github_url": "https://github.com/dev-tools-ai", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/52816343555456026d1de1250894ad8361d57799.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Aaron Epstein", "url": "https://www.ycombinator.com/people/aaron-epstein" }, "founders": [ { "user_id": 1076464, "full_name": "Chris Navrides", "title": "Founder", "founder_bio": "Chris Navrides was the VP of engineer at test.ai, which is built the first AI based mobile & web testing solution. Before that, Chris worked at Google on automation testing for Google Play and mobile ads, and Dropbox on their mobile platform team. Chris received his Bachelors and masters from Colorado School of Mines. \n", "is_active": false, "linkedin_url": "https://linkedin.com/in/chris-navrides", "x_url": null, "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/0261062d4e349bcba6e9052c5592f23be6d149f3.jpg" }, { "user_id": 1075325, "full_name": "Etienne DEGUINE", "title": "Founder", "founder_bio": "Worked on ML products at Google (Google Translate, Display ads), Hover (photogrammetry), test.ai (visual testing AI).\nGraduated with a Masters from Cambridge University and Telecom ParisTech (French national engineering school of telecommunications)", "is_active": false, "linkedin_url": "https://www.linkedin.com/in/etiennedeguine", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/1fc7c4df625df6a003a4af0d91968b97327f3231.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 70620, "title": "🚀 Reviewify.io - AI powered code reviews", "tagline": "Get in-line code review comments in seconds, powered by GPT-4", "body": "TL;DR -  We are building [reviewify.io](http://reviewify.io) - automatic code review for every pull request, powered by GPT-4. Installation takes just 10 seconds, and you can start automatically receiving comments & suggestions.\n\n# **Problem**\n\nYou want to make sure the code written by yourself and team is awesome. But having a code review can slow things down, especially if you only have a few Sr Engineers to review for everyone, and you don’t want their time wasted for obvious issues like not having null checks, or ordering imports.\n\n# **Solution**\n\nWe use GPT, combined with custom review samples, to automatically run code reviews and post the comments in minutes on the PR.\n\n[![Reviewify Demo](https://videoapi-muybridge.vimeocdn.com/animated-thumbnails/image/b48f4158-e90b-42bc-8052-326c02dcc157.gif?ClientID=vimeo-core-prod&Date=1680109610&Signature=3d65ab548135d7de88de0442d6b11d451c863e4c)](https://vimeo.com/812887518)\n\n# **Ask**\n\n* Try it out and leave reactions to the comments it generates so we can improve the system\n* If there are other features that would add value to you, please let us know (ex: Static analysis, code dependency report, integration into IDEs so comments can be seen at code time, etc).\n\nThanks,\n\nChris & Etienne", "url": "https://www.ycombinator.com/launches/IN2-reviewify-io-ai-powered-code-reviews", "votes": 50, "created_at": "2023-03-29T17:24:52.596Z" }, { "id": 65540, "title": "Dev Tools AI 🤖 CoPilot for UI Testing", "tagline": "We make writing UI automation tests as easy so you can solve bigger problems", "body": "# **TL;DR**\n\n[Dev Tools](https://www.dev-tools.ai/) is a library that makes it easy to write web tests in your existing framework by drawing a box over a screenshot instead of building a locator.\n\n![uploaded image](/media/?type=post&id=65540&key=user_uploads/1076464/6cf84e73-20ac-4ca5-994d-329f77e7b325)\n\n\n# **🤕Problem**\n\nWriting end to end tests is difficult and time consuming. It takes forever to dig into the page code to build the right XPath or locator. And even when these are found, they are likely to change over time as the product continues development.\n\n# **⚡️Our solution**\n\nWe use computer vision to look at the screen, like an end user, and find the element you want to interact with. Then, in real-time, we find the element and return it so all your existing automation can keep working with it. We make this easy to use by extending Selenium with a `findByAI()` method where you just put a human readable name and let the AI do the hard work.\n\nWe even let you see the elements from within your IDE!\n\n![uploaded image](/media/?type=post&id=65540&key=user_uploads/1076464/bb8100b8-b570-4aeb-8bae-fd49cd8d470d)\n\n# **🎉 Bonus Features**\n\n### Work on Games\n\nTraditional automation has trouble working with games as most games render within a canvas element. Because we only use the screenshot, and not page source, we can play games like LooneyToons!\n\n![uploaded image](/media/?type=post&id=65540&key=user_uploads/1076464/3feb64e1-36cd-47c0-93f5-a8c3e98d10d1)\n\n### Crawl for Errors\n\nMonkey Testing for errors comes standard with Android, but there isn’t a default one for Web. We added that functionality to our SDK so that you simply call `scan_domain()` and it will crawl your page and look for errors like broken links, 404s, console errors, etc. Learn more in our [blog](https://www.dev-tools.ai/blog/site-sacnner) about the feature.\n\n# **Our Ask - Try it out and give us feedback**\n\nIf you write or have written Selenium or UI tests, we would love your feedback on the tool.\n\nJoin us on [Discord](https://discord.gg/2J9WEYdq5C), or follow us on [Linkedin](https://www.linkedin.com/company/dev-tools-ai)!\n\nIf you have any questions or automation challenges, reach out to us anytime! [chris@dev-tools.ai](mailto:chris@dev-tools.ai) & [etienne@dev-tools.ai](mailto:etienne@dev-tools.ai)", "url": "https://www.ycombinator.com/launches/H36-dev-tools-ai-copilot-for-ui-testing", "votes": 53, "created_at": "2022-08-22T17:01:29.766Z" } ] }, { "id": 27667, "name": "StackAI", "slug": "stackai", "former_names": [ "Stack", "Stack AI" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/f0b69f56464fb22aa0805117c2f93c2b32f1c717.png", "website": "https://www.stackai.com", "all_locations": "San Francisco, CA, USA", "long_description": "Acquired by Asana (NYSE:ASAN) in May 2026.\r\n\r\nStackAI partners with enterprises to deploy custom AI agents to automate their most complex back-office workflows. Teams at BAE Systems, Monzo, Morgan & Morgan, and Goodwill work with StackAI to bring AI Agents to their operations.\r\n\r\nEnterprises use StackAI no-code to automate large compliance audits, knowledge work, legal intake, due diligence research, and insurance claim underwriting.", "one_liner": "The Enterprise AI Transformation Platform", "team_size": 62, "industry": "B2B", "subindustry": "B2B", "launched_at": 1673634480, "tags": [ "Enterprise", "Automation", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2023", "status": "Acquired", "industries": [ "B2B" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Growth", "app_video_public": false, "demo_day_video_public": true, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/stackai", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2023/stackai.json", "year_founded": 2023, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/stackai/", "x_url": "https://twitter.com/StackAI", "fb_url": null, "cb_url": null, "github_url": "https://github.com/stackai", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/f0b69f56464fb22aa0805117c2f93c2b32f1c717.png", "app_video_url": null, "dday_video_url": "https://bookface-images.s3.us-west-2.amazonaws.com/video_event/60/1680800935227-xq1golaxlbk-93a505c5b1677497750a0010107d5e96/ebac961c06f5184e37d1b998d93f8e6f.mp4?X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Credential=AKIAQC4NIECABPQ2AHNW%2F20261020%2Fus-west-2%2Fs3%2Faws4_request&X-Amz-Date=20261020T022709Z&X-Amz-Expires=3600&X-Amz-SignedHeaders=host&X-Amz-Signature=39aa6bb43669060507b0b21b4c57f4b180b9dd217bbbc76960e8ea17ae8c2ef5", "company_photos": [], "primary_partner": { "name": "Nicolas Dessaigne", "url": "https://www.ycombinator.com/people/nicolas-dessaigne" }, "founders": [ { "user_id": 908498, "full_name": "Toni Rosinol", "title": "Founder/CEO", "founder_bio": "Co-Founder & CEO at StackAI (W23). MIT PhD. Bringing us one step closer to AGI.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/rosinol/", "x_url": "https://twitter.com/RosinolToni", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/dfafac0a0522e77dda9d3d2e5391345ef24c7e7d.jpg" }, { "user_id": 660940, "full_name": "Bernard Aceituno", "title": "Founder", "founder_bio": "Co-Founder & President of StackAI (W23). MIT PhD. AGI for the Enterprise.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/baceituno/", "x_url": "https://twitter.com/bernaceituno", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/4ae11cb88a48870abe3e784747068c5516e00805.jpg" } ], "jobs": [], "news": [ { "title": "Asana acquires no-code agent-builder StackAI | TechCrunch", "url": "https://techcrunch.com/2026/05/28/asana-acquires-no-code-agent-builder-stack-ai/", "date": "May 28, 2026" }, { "title": "Enterprise AI Agents for Every Job: StackAI Raises $16M - Stack AI · Accelerate Your Mission with Intelligent AI Workflows", "url": "https://www.stack-ai.com/blog/stack-ai-raises-16m-series-a-to-create-ai-agents-for-every-job", "date": "May 07, 2025" }, { "title": "Stack AI wants to make it easier to build AI-fueled workflows", "url": "https://techcrunch.com/2024/05/21/stack-ai-wants-to-make-it-easier-to-build-ai-fueled-workflows/", "date": "May 21, 2024" } ], "launches": [ { "id": 98649, "title": "Beyond Agents: The Era of AI Employees", "tagline": "Trusted from Fortune 500s to Governments", "body": "Today, StackAI is launching three capabilities that are ushering in the era of AI employees: computer use, access to the web, and the ability to coordinate as a team. Each one is a breakthrough on its own; together, they represent a fundamental shift in what enterprise AI can do.\n\n+++\n\nWe’ve moved from AI that responds, to AI that reasons, to AI that acts. Now we’re entering the next stage: AI that works like an employee you onboard. That starts with the same thing you’d give any new team member on day one: a computer, access to your internal tools, and a team to work with.\n\n1. **Giving Every AI Agent a Computer**\n\nComputer use gives each AI agent a sandboxed environment where it can execute commands, run scripts, read and write files, send emails, post Slack messages, and work across the tools your enterprise already uses. Think of it like Claude Code, but living inside StackAI and securely connected to everything your organization already uses.\n\nVideo: \n\nComputer Use on StackAI doesn’t just suggest, it reads your repo, runs commands, edits files, and iterates until the job is done. Need a comprehensive performance deck? The agent navigates to your analytics platform, pulls the numbers, builds the charts, then formats everything into a clean, ready-to-share deck and forwards it to your team. Professional output. Zero manual effort. You don’t even have to press send.\n\nThese agents reason about what needs to happen, adapt when things change, and find a path to the output regardless of what gets in the way.\n\n**What it Means for Enterprises**\n\nEvery knowledge worker spends a significant portion of their time on coordination, data gathering, and repetitive execution. Computer use agents absorb that entire layer, freeing your team to focus on the nuanced work that actually requires human judgment.\n\n2. **Navigating the Web Like a Human Employee**\n\nA huge portion of enterprise work doesn’t happen inside your internal stack. It happens on the web: in vendor portals, legacy systems, government databases, and SaaS platforms that predate modern APIs.\n\nVideo: \n\nBrowser use gives AI agents the ability to navigate the web the way a human does—not through an API or pre-built connector, but by seeing a page, understanding what’s on it, and interacting with it. Clicking, filling forms, logging in, extracting data, submitting inputs. For an agent with browser use, every website is a potential integration; every legacy system, regardless of age or architecture, becomes part of the automation surface.\n\n**What it Means for Enterprises**\n\nTraditional automation has always had a hard boundary: no API, no integration. Enterprises worked around this by having humans manually bridge the gaps. \n\nBut now, an AI employee can log into your logistics vendor’s portal, pull open order status, and update your internal tracking system without anyone touching it. It can monitor competitor pricing across a dozen sites and flag changes before your next pricing review. It can navigate regulatory databases, extract relevant filings, and route them to your compliance team.\n\nAnything a human can do in a browser, an AI employee can do too, including the long tail of irregular, one-off tasks that are too infrequent to build traditional automation around but too time-consuming to keep handing to people.\n\n3. **Coordinating at Scale with Sub-Agent Teams**\n\nComputer use gives AI agents a workstation. Browser use gives them reach across the web. But there’s a ceiling to what any single agent, or any single AI employee, can do alone.\n\nA sub-agent workflow has a manager and a team. The orchestrator agent receives a high-level objective, breaks it into component tasks, delegates each to a specialized sub-agent, reviews the outputs, and synthesizes everything into a final deliverable. Each sub-agent maintains its own context window, so the system handles complex tasks without the constraints that limit a single model.\n\nTake a market intelligence agent. A single agent would need to research competitors, extract financial data, analyze trends, and write everything up sequentially, based on the user’s request. A multi-agent team handles it differently: the orchestrator delegates research to one agent, data extraction to another, analysis to a third, writing to a fourth. Sub-agents may or may not be called upon depending on the original task. The result is one polished deliverable, produced in a fraction of the time.\n\n## **The Era of AI Employees Is Here**\n\nMulti-agent architectures on StackAI let you build workflows that match the actual complexity of your business, not simplified versions of it. \n\nThe era of AI employees is here! Ready to put them to work? \n\n**Get started with StackAI → [stack-ai.com/demo](http://stack-ai.com/demo)**", "url": "https://www.ycombinator.com/launches/Pf7-beyond-agents-the-era-of-ai-employees", "votes": 12, "created_at": "2026-03-10T18:04:07.327Z" }, { "id": 96563, "title": "StackAI: Enterprise AI Agents in Seconds", "tagline": "Introducing Auto Agents, a new system that allows you to instantly design, test, and iterate over custom AI agents with enterprise-grade security.", "body": "**StackAI** is the no-code, drag-and-drop platform to build and deploy enterprise AI agents that automate manual work across every vertical. \n\nWe’re excited to introduce Auto Agents, a suite of tools within the StackAI platform that makes it incredibly easy to design, iterate, and optimize agents automatically. These tools will empower enterprise users of all technical skill levels to create reliable, robust AI agents for any business process. Whether you're in finance, legal, HR, support, or any other department, you’ll be able to take those painful, repetitive, and expensive processes and automate them at scale with AI. \\\n\\\nCheck out this brief [video](https://www.youtube.com/watch?v=ohDG3oeFsjk) to see Auto Agents in action. \n\n### **From idea to agent in minutes**\n\nWith StackAI Auto Agents, teams can describe what they want to build in natural language, and the platform generates a complete, multi-step AI agent automatically.\n\nFor example, a user might ask the system to create an equity research agent—one that analyzes stock performance, scans recent news, evaluates opportunities, and produces a structured report. The platform will then design the agent end to end, assembling the workflow, tools, and logic required to complete the task.\n\nCrucially, Auto Agents don’t operate as black boxes. Every generated agent can explain itself, walking users through each component of the workflow, how inputs flow through processing steps, and how outputs are produced. This makes it easier for teams to understand, validate, and build confidence in what the agent is doing.\n\n**Built-in prompt refinement, without the guesswork**\n\nPrompting remains one of the biggest barriers to reliable AI systems. Auto Agents address this directly.\n\nUsers can refine an agent’s behavior by describing how outputs should be structured, whether that’s a multi-section research report, a compliance summary, or a decision memo. With a single click, Auto Agents optimize prompts immediately, applying best practices to improve clarity, consistency, and performance.\n\n**Test, iterate, and build on results in real time**\n\nOnce an agent is generated, teams can test it right away with real inputs. In the equity research example above, the agent can be run against a specific company, pulling in relevant financial data and recent news to generate a comprehensive report in minutes.\n\n![uploaded image](/media/?type=post&id=96563&key=user_uploads/660940/f66c0dcc-f5c7-4f6b-bcdb-bbe33b7ee321)\n\nFrom there, users can interact directly with the results: asking follow-up questions, extending outputs, or generating downstream artifacts like emails or summaries. This interactive loop allows teams to iterate quickly and build layered workflows on top of existing results, all within the same platform.\n\n**Ready for real enterprise workflows**\n\nAuto Agents are designed for teams automating real business processes, not just demos. This launch reflects a broader shift in enterprise AI to systems that operate reliably at scale across the entire development lifecycle: \n\n* **Automatic agent generation** from natural language descriptions\n* **AI-powered prompt refinement** for better performance\n* **Real-time testing and iteration**\n* **Interactive follow-ups** through chat-based enhancements\n* **Enterprise-grade security and governance** by default\n\nWhether you're automating equity research, streamlining contract reviews, handling RFP responses, or tackling compliance audits, Auto Agents puts the power of AI automation in your hands.\n\nStackAI Auto Agents are available now. To learn more or start building, visit [stack.ai](http://stack.ai).", "url": "https://www.ycombinator.com/launches/P7T-stackai-enterprise-ai-agents-in-seconds", "votes": 16, "created_at": "2026-01-07T18:25:52.375Z" }, { "id": 77751, "title": "Stack AI - The Enterprise platform for LLM applications", "tagline": "Build Enterprise-grade AI assistants for your organization", "body": "[Stack AI](https://www.stack-ai.com/) is a **low-code platform that enables any organization to build custom AI Assistants without the need for coding or deep expertise in AI**. Our intuitive drag-and-drop interface makes Generative AI accessible for teams across the enterprise.\n\n[**Get a demo today!**](https://8pgahmhngsa.typeform.com/to/j1PDmIAG)\n\n**Fun fact:** this is our first YC launch!\n\n### What can I build?\n\n![uploaded image](/media/?type=post&id=77751&key=user_uploads/660940/f66ab65b-025a-49ca-af8a-e4916a52f44e)\n\nWe power AI use cases for companies such as **LifeMD, SmartAsset, Circle Medical, HiveMQ, Varos**, and more… \\\n\\\nWith Stack AI, subject matter experts can develop [AI assistants](https://www.stack-ai.com/blog/ai-assistants) tailored to their company needs without coding, powering use cases in industries such as:\n\n1. **Healthcare:** e.g., [insurance and policy document analysis](https://www.stack-ai.com/solutions/ai-agents), physician assistant for therapy and diagnosis.\n2. **Education:** e.g., [automatic student support desk assistant](https://www.stack-ai.com/solutions/ai-agents), AI-teaching assistants for faculty and courses.\n3. **Finance:** e.g., [comparison and drafting of financial reports](https://www.stack-ai.com/solutions/ai-agents), contract drafting assistant, communication compliance analyzer (email, SMS).\n4. **Logistics & Construction:** e.g., [RFPs with AI-powered Resume Searching](https://www.stack-ai.com/solutions/ai-agents), Purchase orders drafting and analysis.\n5. **Cross-industries:** e.g., [automatic scrapping of websites](https://www.stack-ai.com/solutions/ai-agents), hyper-customized outbound email generation, patent drafting assistant.\n\n### Value Proposition\n\nOur goal is to **equip enterprises with state-of-the-art language models to empower intelligence workers, content creation, and more.** Users can securely connect company data sources through integrations with databases, cloud storage, and SaaS platforms. \n\nWe do the **heavy lifting of AI and software development so customers can focus on deploying AI that drives business value**.\n\n[Learn more about AI Assistants](https://www.stack-ai.com/solutions/ai-agents)\n\n### Enterprise-grade AI\n\nEnterprise-grade platform and service\n\nWe developed Stack AI with enterprises in mind since day one:\n\n1. **Enterprise-grade security and privacy**: Stack AI is **SOC 2, GDPR, and HIPAA** compliant, ensuring [top industry standards](https://www.stack-ai.com/blog/gdpr-announcement) (i.e., data retention, data encryption, access controls). We also have data processing agreements with leading AI models.\n2. **High-touch customer success:** We support each client along the journey, guaranteeing hands-on guidance when building and deploying AI projects. \n3. **Dedicated infrastructure:** We ensure optimal performance and privacy in our client applications.\n4. **All-in-one platform:** Our versatile platform allows companies to deploy multiple customized use cases in an all-in-one platform, **simplifying technology stack and vendor management**.\n\n[Learn more about AI for the enterprise](https://www.stack-ai.com/solutions/ai-agents)\n\n### Bring AI to your Company Now!\n\nStack AI is already loved by over **200 companies in industries such as Healthcare, Logistics, Construction, Higher Education, and Financial Services**. We’d love to discuss with you how your organization can adopt Generative AI without expensive developments or hires.\n\n[**Get a demo today!**](https://8pgahmhngsa.typeform.com/to/j1PDmIAG)", "url": "https://www.ycombinator.com/launches/KE3-stack-ai-the-enterprise-platform-for-llm-applications", "votes": 31, "created_at": "2024-01-23T00:56:56.309Z" } ] }, { "id": 27690, "name": "Credal.ai", "slug": "credal-ai", "former_names": [ "Credal.AI" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/67584a441ac14e21e59b84f0e3760e5308aaf4dc.png", "website": "https://credal.ai", "all_locations": "New York City, NY, USA", "long_description": "Build, govern, and deploy enterprise AI agents and MCP servers \r\nPowered by your data, subject to enterprise controls", "one_liner": "The Control Plane for Enterprise Agents", "team_size": 14, "industry": "B2B", "subindustry": "B2B -> Productivity", "launched_at": 1669993072, "tags": [ "Generative AI", "Cybersecurity", "Enterprise", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Winter 2023", "status": "Active", "industries": [ "B2B", "Productivity" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/credal-ai", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2023/credal-ai.json", "year_founded": 2022, "city": "New York City", "country": "US", "linkedin_url": "https://www.linkedin.com/company/91502554/", "x_url": "https://twitter.com/credal_ai", "fb_url": null, "cb_url": "https://www.crunchbase.com/organization/credal-ai", "github_url": "https://github.com/credal-ai/", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/67584a441ac14e21e59b84f0e3760e5308aaf4dc.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/c139655b29030046ecb659bee3e1d3ec690290e0.png" ], "primary_partner": { "name": "Brad Flora", "url": "https://www.ycombinator.com/people/brad-flora" }, "founders": [ { "user_id": 1038471, "full_name": "Ravin Thambapillai", "title": "Founder", "founder_bio": "I hanker after an honorable Goddam skull. I worked at Google, TheHutGroup (now THG) at Series A, GoCardless at Series A, and most recently at Palantir for 7 years, where I led the building of significant parts of America's emergency-public-health infrastructure, including what Atlantic Magazine called \"America's most reliable Pandemic data.\"\n\nMy principles are listed here: https://docs.google.com/document/d/11-yFsiwOgYDUmHSWe8J0B2RU2a0JbO2yYUwqM2fjDbE", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/ravin-thambapillai-77aa0a11/", "x_url": "https://twitter.com/ravin_tham", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/73231bf66d563b58e53bb5097e302dda57b8313a.jpg" }, { "user_id": 1047303, "full_name": "Jack Fischer", "title": "Founder", "founder_bio": "Five years at Palantir in various technical capacities on projects ranging from airline reliability to defense computer vision. Palantir's US commercial hiring manager 2020-2022. \nWorked on several of the precursors to H1 (YC W20) and developed their early entity resolution algorithms.\nNow enabling secure AI!", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/jackfischer11/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/30ac732fbe78f690991e5a10c38459b3adcba120.jpg" } ], "jobs": [ { "id": 70840, "title": "Founding GTM - Deployment Strategist", "url": "https://www.ycombinator.com/companies/credal-ai/jobs/3OnqAVU-founding-gtm-deployment-strategist", "location": "New York, NY, US", "type": "Full-time", "role": "Operations", "role_type": null, "salary_range": "$120K - $150K", "equity_range": "0.05% - 0.20%", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 81964, "title": "Founding Frontend/UX Software Engineer", "url": "https://www.ycombinator.com/companies/credal-ai/jobs/4hSv1Na-founding-frontend-ux-software-engineer", "location": "NY, US", "type": "Full-time", "role": "Engineering", "role_type": "Frontend", "salary_range": "$190K - $250K", "equity_range": "0.20% - 0.90%", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [ "React", "React Native", "TypeScript" ] }, { "id": 99647, "title": "Founding Design Engineer", "url": "https://www.ycombinator.com/companies/credal-ai/jobs/8QpLF8h-founding-design-engineer", "location": "NY, US", "type": "Full-time", "role": "Design", "role_type": "UI / UX", "salary_range": "$170 - $230", "equity_range": "0.10% - 0.50%", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 105583, "title": "Founding GTM Deployment Strategist", "url": "https://www.ycombinator.com/companies/credal-ai/jobs/JkwCCe6-founding-gtm-deployment-strategist", "location": "Credal HQ (Brooklyn, NY)", "type": "Full-time", "role": "Operations", "role_type": null, "salary_range": "$120K - $150K", "equity_range": "0.05% - 0.20%", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] }, { "id": 105584, "title": "Forward Deployed Software Engineer", "url": "https://www.ycombinator.com/companies/credal-ai/jobs/UuUgcZc-forward-deployed-software-engineer", "location": "Credal HQ (Brooklyn, NY)", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$140K - $220K", "equity_range": "0.10% - 0.90%", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] }, { "id": 105585, "title": "Customer Deployment Engineer", "url": "https://www.ycombinator.com/companies/credal-ai/jobs/d0PrRkz-customer-deployment-engineer", "location": "Credal HQ (Brooklyn, NY)", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$120K - $160K", "equity_range": "0.07% - 0.30%", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] }, { "id": 105587, "title": "Business Development Representative", "url": "https://www.ycombinator.com/companies/credal-ai/jobs/88clofi-business-development-representative", "location": "Credal HQ (Brooklyn, NY)", "type": "Full-time", "role": "Sales", "role_type": null, "salary_range": "$90K - $120K", "equity_range": "0.05% - 0.20%", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] }, { "id": 114492, "title": "Software Engineer", "url": "https://www.ycombinator.com/companies/credal-ai/jobs/YYLdmmL-software-engineer", "location": "Credal HQ (Brooklyn, NY)", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$190K - $250K", "equity_range": "0.20% - 0.90%", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] } ], "news": [ { "title": "Credal aims to connect company data to LLMs 'securely' | TechCrunch", "url": "https://techcrunch.com/2023/10/26/credal-aims-to-connect-company-data-to-llms-securely/", "date": "Oct 26, 2023" } ], "launches": [ { "id": 88742, "title": "Credal.ai: The Security-First Multi-Agent Collaboration Platform", "tagline": "The world's only multi-agent platform where Agents collaborate across your tools while respecting the data permissions in your systems", "body": "Ravin & Jack here from [Credal.ai](http://Credal.ai). Proud to announce the world’s only multi-agent platform in production at Enterprises that lets Agents collaborate across Enterprise systems like GSuite, Salesforce, and Slack while respecting the permissions of the end users across those tools. We’re in production at amazing Enterprise customers like Mongodb, Wise, Checkr, Lattice, and even at traditional Enterprises like Comcast, the US Federal Government (HHS), and the IFRS — and we’re now excited to bring it to the world.\\\n\n\n## The Problem\n\nAI can understand enterprise data and provide marginal productivity gains, but we know that “Chat with your data” doesn’t scale—especially in complex operations.\n\nGetting users to adopt AI for simple tasks, like improving email wording or summarizing meeting notes, is easy. But these small wins don’t fundamentally change how an organization operates. It’s no surprise that 74% of companies still struggle to achieve tangible value from generative AI in 2025; most companies remain stuck in the proof-of-concept phase.\n\nAI is not truly transformative at the enterprise level, and we at Credal want to change that. To solve for this problem, AI agents must integrate into enterprise operations—communicating with internal systems, other agents, and subject matter experts while ensuring security, governance, visibility, and ultimately real business impact.\n\n## 💡 Our Solution\n\n![uploaded image](/media/?type=post&id=88742&key=user_uploads/89898/75296e1a-0363-4079-9f82-0c5a9d786d1b)\n\nCredal enables enterprises to deploy secure, specialized AI Agents that collaborate to handle complex, multi-step workflows.\n\nEach Agent is designed by subject matter experts—your employees—for specific tasks like:\n\n* Researching a prospect and personalizing outreach\n* Conducting KYC and AML checks\n* Answering HR and IT helpdesk questions\n* Completing security and compliance questionnaires\n* Analyzing trends in revenue and churn and suggesting the next best action for Customer Success Managers or Account Executives.\n\nWhen a user or API call invokes an Agent, it can autonomously call other Agents for assistance, all while enforcing enterprise-grade governance, risk, and compliance (GRC) policies. This composability moves beyond single-agent AI, allowing for scalable, controllable, and secure AI adoption across complex workflows in the enterprise. AI can at last operate seamlessly across your systems while respecting permission boundaries.\n\n![uploaded image](/media/?type=post&id=88742&key=user_uploads/89898/2c33a821-eabf-402e-a866-a552b5ca4590)\n\n## How it Works\n\nEvery user request follows this pattern:\n\nThe request gets routed to a primary agent which decides whether to call any actions or other Agents based on:\n\n* The instructions you provide in the background prompt and feedback from previous interactions\n* The provided tools and agents, with their descriptions and associated RBAC settings\n* Access Controlled Data from Enterprise systems like Salesforce, Confluence, GDrive, Slack and Sharepoint.\n\nThe primary agent then:\n\n* Notifies the user of any actions it is calling\n* Parallelizes the submission of all relevant actions\n* Polls for responses\n* Notifies the user when responses come back\n\n## ⚙️ Use Cases\n\n✅ End-to-end Know Your Business (KYB) workflows:\n\n* Validate document authenticity\n* Cross-check business addresses\n* Detect politically exposed persons (PEPs)\n* Ensure company services comply with internal policies\n\n✅ Go-To-Market Automation\n\n* Deep research on prospects and target accounts\n* Identify intent signals and the right buyers\n* Automate personalized outreach and seller training\n* Suggest Next Best Actions and upsell opportunities\n\n✅ Security Questionnaires\n\n* Automate security and compliance questionnaire responses no matter what tool you have to upload your response in\n* Ensure regulatory alignment with minimal manual effort\n\n✅ HR & Performance Management\n\n* Draft and refine self-reviews\n* Validate manager reviews for consistency and bias\n\n…and much more, including vendor contract analysis, government agency rule-making, corporate standards setting, customer support automation, training across teams, and general-purpose “ask-anything” AI assistants.\n\n## Next Steps\n\nWith Credal, enterprises can finally operationalize AI at scale—securely, efficiently, and with full control.\n\nReady to power your business with intelligent AI Agents?\n\nLet’s talk. Contact us at [sales@credal.ai](mailto:sales@credal.ai) or book a demo at [credal.ai/get-started](http://credal.ai/get-started).", "url": "https://www.ycombinator.com/launches/N5K-credal-ai-the-security-first-multi-agent-collaboration-platform", "votes": 56, "created_at": "2025-03-18T14:24:46.451Z" }, { "id": 70320, "title": "Credal: Control how AI uses your data", "tagline": "Credal protects your organization's sensitive data from AI that can surface it externally. Think Okta for AI.", "body": "Hi there! Ravin and Jack here from [Credal.ai](http://Credal.ai)\n\n**TL;dr:**\n\nCredal protects your sensitive data across all AI apps. We give everyone at your company access to the latest AI models via our secure Chat UI, integrated with your data, whilst management gets granular control over what data is shared with each provider.\n\n⚔️ **The Problem:**\n\nCEOs of every company from Microsoft to our YC W23 batchmates understand the massive productivity gains available through AI applications. But huge concerns exist over adopting these tools at the enterprise: what’s happening to our data once we hand it over to AI providers? The landscape of providers is already large and fast-growing. Many have terms of service that permit training general models on your data. As the usage of these tools explode, businesses risk losing control over what data has been shared with whom, when, and what technical and contractual safeguards are in place to protect that data from inadvertently ending up in the hands of competitors via an AI model’s training dataset.\n\n⚡ **Solution:**\n\nCredal is the gatekeeper for your data, ensuring that all data sent to AI is protected by 3 layers of security:\n\n1. Credal identifies sensitive data using our (self-hosted) detection models alongside your existing data classifications and lets you automatically redact, anonymize, block, or simply warn the user, if sensitive data is about to be sent over to a provider.\n2. For the major endpoints like chat or text completion, Credal allows you to seamlessly switch between providers: letting you take advantage of the latest models, or highest privacy models as they are released, without locking your company into a single vendor.\n3. Finally, Credal protects you with standardized Terms of Service and MSAs that ensure you have total control over your data. Credal links your audit logs to the specific provider associated with each request, allowing full transparency into both the technical and contractual safeguards that govern how any cut of data could be used.\n\nOur secure chat UI can automatically route your request to the best AI for your question (or you can specify manually)\n\n![uploaded image](/media/?type=post&id=70320&key=user_uploads/1038471/53a41cac-1a2c-4bc6-9441-cc87ed0ef0d3)\n\nWith granular audit logs on each request, per data source, including what was redacted:\n\n![uploaded image](/media/?type=post&id=70320&key=user_uploads/1038471/fb382a2e-54de-47ec-b03e-93cc332981a9)\n\n**Who needs this, and why did we build it?**\n\nOur current customers are security-conscious companies trying to use AI to get an edge in their operations and product. We noticed early on building AI applications that customers were really nervous about handing data over to AI models they didn’t fully understand. Many enterprises were turning ChatGPT off entirely, or banning its use on anything remotely sensitive. Today, our customers use Credal for a range of problems, from basic things like using ChatGPT for summarizing meeting notes, to using complicated combinations of AI (like Claude + GPT 4) to automatically structure company documents. Either way, Credal is giving our customers the confidence they need to use cutting-edge AI on sensitive data.\n\n**Meet the Team:**\n\n![uploaded image](/media/?type=post&id=70320&key=user_uploads/1038471/77898790-6a46-477b-8832-df0f5cecd528)\n\nJack and I met in 2019 when we co-led Palantir’s engagement with a multibillion-dollar Life Sciences conglomerate, steering it from an initial pilot to an enterprise deal so critical to their business that Palantir going bankrupt was mentioned as a risk on the customer’s S1 filing.\\\n\\\nI started my career at Google, and since then have been both in the trenches and leading teams at THG at Series A, GoCardless at Series A, and Palantir. Jack started his career at H1 (at pre-seed), before joining Palantir. We’ve both led highly acclaimed teams at Palantir: _Atlantic_ Magazine called the output of work I led for 18 months: “America’s most reliable pandemic data”\\[1\\] and the _Washington Post_ said of a team Jack led for a year: “With these systems aiding brave Ukrainian troops, the Russians probably cannot win”\\[2\\]\n\nWe’re bringing a wealth of expertise in handling the most sensitive data imaginable, into what we see as one of the central problems of our time: building trust in AI.\n\n**Interested?**\n\nIf you are an enterprise with sensitive data, but you want to be able to use that data with AI  - [grab time to chat with us](https://calendly.com/jack-fischer-credal/credal-ai-intro). Enterprises that sign up before Demo Day (April 5th) are eligible for 50% off!\\\n\\\nFootnotes:\n\n\\[1\\] (The article discusses whether the Biden administration would keep paying for the ‘vital system’ that HHS had procured under Trump. In case you’re wondering what happened, it did and even expanded the contract.\n\n\\[2\\] ", "url": "https://www.ycombinator.com/launches/IIC-credal-control-how-ai-uses-your-data", "votes": 128, "created_at": "2023-03-15T20:22:38.701Z" } ] }, { "id": 27700, "name": "Latent", "slug": "latent", "former_names": [ "FactorHealth" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/d464e72e759603ce78169d56b1ef679252bf2dae.png", "website": "https://latenthealth.com", "all_locations": "San Francisco, CA, USA", "long_description": "At Latent, we're building medical language models to tackle the trillions of operational overhead weighing down healthcare. Our flagship product streamlines authorizations for life-saving drugs by analyzing EHR records and surfacing the most relevant data.\r\n\r\nWe've built our product and signed enterprise contracts with some of the largest health systems in the US.", "one_liner": "Medical language models to automate healthcare operations", "team_size": 50, "industry": "Healthcare", "subindustry": "Healthcare -> Healthcare IT", "launched_at": 1677047143, "tags": [ "B2B", "Healthcare", "Insurance", "Enterprise", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Winter 2023", "status": "Active", "industries": [ "Healthcare", "Healthcare IT" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/latent", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2023/latent.json", "year_founded": 2022, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/latent-health", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/d464e72e759603ce78169d56b1ef679252bf2dae.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Aaron Epstein", "url": "https://www.ycombinator.com/people/aaron-epstein" }, "founders": [ { "user_id": 282190, "full_name": "Rishabh Jain", "title": "Founder", "founder_bio": "Co-founder at Latent. Repeat founder.", "is_active": true, "linkedin_url": "https://linkedin.com/in/rj254", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/adb34c9707d80e9e000b4735c64af699c67aa375.jpg" }, { "user_id": 860587, "full_name": "Sri Somasundaram", "title": "Founder", "founder_bio": "Co-founder at Latent. At Stanford, Sri investigated molecular binding patterns responsible for adaptive immunity and built deep RL robots with publications at ICML, ICLR, and Nature. He also operationalized language models for the largest financial institutions while on the founding team of Hebbia.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/ssomasundaram/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/4c31c54127a8c7717bccf13bbf8eefaef289ad71.jpg" } ], "jobs": [ { "id": 60167, "title": "Senior Software Engineer (Full Stack)", "url": "https://www.ycombinator.com/companies/latent/jobs/KqOXaXA-senior-software-engineer-full-stack", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$100K - $200K", "equity_range": "", "experience": "6+ years", "visa": "US citizen/visa only", "skills": [ "Amazon Web Services (AWS)", "Node.js", "Python", "React", "TypeScript" ] }, { "id": 66171, "title": "Design Engineer", "url": "https://www.ycombinator.com/companies/latent/jobs/5pgY0YE-design-engineer", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Design", "role_type": "Product design", "salary_range": "$120K - $180K", "equity_range": "", "experience": "6+ years", "visa": "US citizen/visa only", "skills": [ "CSS", "TypeScript", "Figma" ] } ], "news": [ { "title": "This $600 Million AI Startup Is Speeding Up Paperwork So Patients Get Drugs Faster", "url": "https://www.forbes.com/sites/rashishrivastava/2026/03/18/this-600-million-ai-startup-is-speeding-up-paperwork-so-patients-get-drugs-faster/", "date": "Mar 18, 2026" } ], "launches": [] }, { "id": 27705, "name": "Indexical", "slug": "indexical", "former_names": [ "Nebula" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/ffb7d7237c04ef91841ffa6c06007d8d606413a2.png", "website": "https://indexical.dev/", "all_locations": "San Francisco, CA, USA", "long_description": "", "one_liner": "AI-powered data extraction engine", "team_size": 2, "industry": "B2B", "subindustry": "B2B -> Infrastructure", "launched_at": 1677455023, "tags": [ "Developer Tools", "Generative AI", "SaaS", "B2B", "Enterprise" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2023", "status": "Inactive", "industries": [ "B2B", "Infrastructure" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/indexical", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2023/indexical.json", "year_founded": 2022, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/trynebula/", "x_url": "https://twitter.com/try_nebula", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/ffb7d7237c04ef91841ffa6c06007d8d606413a2.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": null, "founders": [ { "user_id": 888634, "full_name": "Shanelle Roman", "title": "Founder", "founder_bio": "Shanelle is the cofounder and CEO of Nebula. Shanelle was previously a PM at Google, working on the buying experience for a new $XB line of Google ads. Originally from Minnesota, she graduated from Yale with a degree in Computer Science. ", "is_active": false, "linkedin_url": "https://www.linkedin.com/in/shanelle-roman-37baa6103/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/7744ee9edab1ac4841d2e98aa20cb7ad96d1f1cd.jpg" }, { "user_id": 595906, "full_name": "Vishnu Menon", "title": "Founder", "founder_bio": "Vishnu Menon is the Co-founder & CTO of Nebula, where he builds tools that help engineers be productive in microservice architectures. Previously, he was co-founder at an ML startup (Toucan AI) and lead data & platform projects at a MarTech software provider (AddShoppers). He earned a degree in Computer Science from Duke University.", "is_active": false, "linkedin_url": "https://www.linkedin.com/in/vishnu-menon/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/43cfe0169faff62896e4e955bd9629ab03810ee5.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 69881, "title": "Nebula 🌌 - Understand & debug enterprise-scale codebases", "tagline": "Simplifying microservice development ", "body": "### TL;DR\n\n[**Nebula**](https://www.trynebula.com/) **is a code navigation tool that helps developers quickly understand & debug distributed systems. We make it easy to follow service dependencies & the flow of data across your microservice architecture, saving developers tens of hours per week. Request early access** [**here**](https://mzgq3tvfxmu.typeform.com/to/DD8HB5A5)\n\nHey everyone, we're the founders of Nebula!\n\n![uploaded image](/media/?type=post&id=69881&key=user_uploads/888634/dd916b21-6237-4b46-ab5b-91a02851586a)\n\n**Shanelle** was previously a PM at Google, where she saw firsthand the productivity loss that came with complex microservice architectures.\n\n**Vishnu** is a second-time founder who has previously built developer platforms & ML-based document retrieval systems.\n\nWe've experienced the frustration of seemingly simple features taking months to launch because of the complexity of unwieldy microservice architectures. Building on open-source tooling designed to handle Google-scale codebases, Nebula aims to make it simple and painless to develop microservices.\n\n### Problem 😔\n\n[85% of enterprise companies](https://www.statista.com/statistics/1236823/microservices-usage-per-organization-size/) use a microservice architecture. However, as these codebases scale in size & complexity, developer velocity often slows drastically:\n\n1\\. **trivial changes take weeks to implement** because they impact multiple services or teams across the org\n\n2\\. it takes **longer to debug** issues because it's hard to track the flow of data across your system\n\n3\\. **onboarding** a new developer onto your codebase can take weeks, if not months\n\nCompanies that switch to microservice architecture often see a dramatic increase in the cognitive overhead required for their engineers to be productive.\n\nWe've done deep dives with best-in-class companies like Netflix and Linkedin to learn how they dealt with the growing complexity of their codebases. We're combining their most effective strategies with insights from Shanelle's experience at Google to build Nebula.\n\n### How it works [🥳](https://emojipedia.org/partying-face/)\n\nNebula deploys in your cloud & continuously analyzes your codebase to generate an index of inter-service communication, then exposes this info in three ways:\n\n1\\. An **IDE extension** that shows how a line of code fits into the overall system (e.g. service dependencies, cross-references, recent traces, etc.)\n\n2\\. An **auto-generated service catalog** that includes service interfaces, usage examples, and service contributors (no maintenance required)\n\n3\\. A **GraphQL endpoint** that exposes all this data for integration with your existing DevTools\n\n![uploaded image](/media/?type=post&id=69881&key=user_uploads/888634/69cc9b1f-5205-402a-9317-48b163d68832)\n\n![uploaded image](/media/?type=post&id=69881&key=user_uploads/888634/a714fb97-d518-478a-9952-aa58ed4d1dd9)\n\n### Our Ask [🙏](https://emojipedia.org/folded-hands/)\n\n1\\. If you're a company with >100 microservices or engineers that is looking to boost its development velocity, you can [email me](mailto:shanelle@trynebula.com?subject=YC%20Launch%20-%20interested%20in%20Nebula) or schedule a [quick chat](https://book.vimcal.com/p/z5RvBJx51onH1zTj).\n\n2\\. Know any teams that are struggling to wrangle their microservice architecture? [Intro us](mailto:shanelle@trynebula.com?subject=YC%20Launch%20-%20Nebula%20customer%20intro)! **If your referral becomes a paying customer, we'll send you a $500 Amazon gift card**", "url": "https://www.ycombinator.com/launches/IB7-nebula-understand-debug-enterprise-scale-codebases", "votes": 130, "created_at": "2023-03-02T19:58:46.522Z" } ] }, { "id": 27763, "name": "Double – Coding Copilot", "slug": "double-coding-copilot", "former_names": [ "Double" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/50e5a1022a2437ff5f516fa3afe9ed74fb7be3f4.png", "website": "https://double.bot", "all_locations": "San Francisco, CA, USA", "long_description": "Do you run into these problems with Github Copilot?\r\n- Bad completions that break your train of thought when you’re writing comments?\r\n- Doesn’t close brackets, or adds too many closing brackets?\r\n- Functions, variables, and libraries not being auto-imported after accepting a suggestion?\r\n- Multi-cursor mode not working?\r\n- Wish copilot could name your variables?\r\n- Wish copilot could trigger in the middle of a line?\r\n- Want to stop wasting time with GPT3.5 chat and default to GPT4?\r\n\r\nDouble is an high quality alternative to Copilot inside VS Code, engineered for performance. It’s designed with great craftsmanship by people who care a lot about getting the small details right.", "one_liner": "AI coding copilot engineered for performance", "team_size": 2, "industry": "B2B", "subindustry": "B2B -> Engineering, Product and Design", "launched_at": 1679084003, "tags": [ "Developer Tools", "SaaS", "Chatbot", "Enterprise", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2023", "status": "Active", "industries": [ "B2B", "Engineering, Product and Design" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/double-coding-copilot", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2023/double-coding-copilot.json", "year_founded": 2022, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/double-ai", "x_url": "https://twitter.com/double_ide", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/50e5a1022a2437ff5f516fa3afe9ed74fb7be3f4.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Jared Friedman", "url": "https://www.ycombinator.com/people/jared-friedman" }, "founders": [ { "user_id": 1166534, "full_name": "Wesley Yue", "title": "Founder", "founder_bio": "– Founder at Double\n– Previously co-founder at Ninja (last mile robotics turned into full stack grocery delivery), and a bunch of robotics teams (Waymo, Kodiak, Kitty Hawk)\n – Engineering at Waterloo", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/wesleyyue/", "x_url": "https://twitter.com/WesleyYue", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/f12ff285166d59a73c88cebaaa56572712dec746.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 74210, "title": "Double 🔍 Background research on sales prospects by searching the web with LLMs", "tagline": "Sales teams use Double to do background research on prospects. Instead of googling prospects one by one, Double uses language models to search the web and compile an answer, with citations.", "body": "# **TL;DR**\n\nIf you’re looking to answer questions about your sales prospects using information that’s on the web (news articles, LinkedIn profiles, company websites, financial filings, press releases), Double can look it up for you and use it to answer your questions in bulk.\n\n\n\n# **Researching and qualifying your sales prospects takes forever**\n\n* The information you need to qualify your leads lives in news articles, job posts, LinkedIn profiles, company websites, OpenCorporate, Crunchbase and other aggregators\n* Most of this can be manually Google’d, but doing so, plus reading it and formatting it the way you want it, takes time\n\n# **Background research your sales prospects by searching the web with LLMs**\n\n* Double searches the web using LLMs to compile verifiable answers. Every answer includes citations to reputable sources\n\n# **Companies use Double to answer hyper-focused qualifying questions**\n\n* Let’s say you’re selling tools for remote work, and you’re targeting remote-first companies.\n* Crunchbase/Linkedin/etc don’t have filters for “Remote-First?”, so you either:\n * Broadly target companies and hope they do _some_ remote work – leads to poor conversion 🤞\n * Or, google each company one by one and look at their job openings – tedious 😔\n* Instead, Double can search the web with language models and compile a verifiable answer with **citations**! 🔥\n\n# **Repeat Founders from Waterloo**\n\nBefore Double, we:\n\n* studied engineering at Waterloo\n* worked on autonomous vehicles at Waymo and Tesla, and\n* built Ninja, Canada’s first 10-minute delivery service. Ninja raised $2M and offered deliveries in 2 cities with a team of 80+ couriers before it was acquired in 2022.\n\n# **Let us automate your manual prospecting processes!**\n\n* Got a question you want answered about your prospects, or looking to save time in your prospecting process? Book a product tour with us!\n* Tell us about the most manual, time-consuming part of your sales process", "url": "https://www.ycombinator.com/launches/JIw-double-background-research-on-sales-prospects-by-searching-the-web-with-llms", "votes": 12, "created_at": "2023-08-18T05:51:59.351Z" }, { "id": 70385, "title": "Double — Internet-capable GPT bots to automate repetitive work", "tagline": "Double is an assistant that can use Google to do research like: Which of these people are executives that work in finance, according to their linkedin profile?", "body": "# **TL;DR**\n\n# If you have a task that involves _search google_ → _read links_ → _answer question,_ Double can automate it for you.\n\n![uploaded image](/media/?type=post&id=70385&key=user_uploads/1247275/8551fc0f-01d6-44ec-b9db-9ef2a5516e50)\n\n# **What can you do with Double**\n\n* Given a list of chiropractor websites, find how many chiropractors work there. Don’t count admin staff\n* Given a list of business names, find their websites, addresses, and phone numbers\n* Given a list of Etsy stores, find the main category of the products they sell\n* Given a list of websites of recently funded startups, is this a business that does outbound B2B sales? (that would be interested in our b2b sales prospecting product?)\n\n# **Roadmap**\n\n* Our bots are essentially read-only on the web today, but we’re working on abilities to navigate the web and click buttons to do things like login and submit forms (helpful for things that don’t have an API!)\n* Parsing PDFs as an input\n* Calling REST APIs. On top of Google Search, Web Scraping, and GPT, we’ll be adding a plugin to make REST API calls, which will unlock every API and the ability to chain arbitrary code execution by calling your code on [repl.it](http://repl.it)\n\n# **Team**\n\nBefore Double, we :\n\n* Studied engineering at Waterloo\n* Worked on autonomous vehicles at Waymo and Tesla, and\n* Built Ninja, Canada’s first 10-minute delivery service. Ninja raised $2M and offered deliveries in 2 cities with a team of 80+ couriers before it was acquired in 2022\n\n# **Ask:**\n\n* Got a process you want to automate? [Try Double for free today](https://www.usedouble.com/), or reach out to us if you need a hand setting up\n* Share our [Twitter launch thread](https://twitter.com/geepytee/status/1636066726973702149?s=20) and our website on your Twitter, LinkedIn, Tiktok, or other social media! It really helps!", "url": "https://www.ycombinator.com/launches/IJF-double-internet-capable-gpt-bots-to-automate-repetitive-work", "votes": 39, "created_at": "2023-03-17T20:06:09.828Z" } ] }, { "id": 27832, "name": "Trigo", "slug": "trigo", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/f4995777223c0a6941873d356643ed969835aea5.png", "website": "https://trigodata.com/", "all_locations": "New York City, NY, USA; Remote", "long_description": "Trigo aggregates consumer rent history to help landlords approve better tenants and lenders write more loans. No solution exists to consistently furnish this rent verification to landlords and lenders today. The largest database has only 3% coverage of rent data.\r\n\r\nTrigo is a Consumer Reporting Agency (CRA) that provides this missing rent data set through a real-time API and web application. We are repeat founders with consumer data and finance experience across Harvard, Citigroup, Experian, and Amazon.", "one_liner": "Rent verification API for landlords and lenders", "team_size": 4, "industry": "Fintech", "subindustry": "Fintech -> Credit and Lending", "launched_at": 1675306671, "tags": [ "Fintech", "B2B", "Proptech", "API", "Enterprise" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2023", "status": "Acquired", "industries": [ "Fintech", "Credit and Lending" ], "regions": [ "United States of America", "America / Canada", "Remote", "Fully Remote" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/trigo", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2023/trigo.json", "year_founded": 2022, "city": "New York City", "country": "US", "linkedin_url": "https://www.linkedin.com/company/trigo-data/", "x_url": "https://twitter.com/TrigoData", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/f4995777223c0a6941873d356643ed969835aea5.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Jared Friedman", "url": "https://www.ycombinator.com/people/jared-friedman" }, "founders": [ { "user_id": 741033, "full_name": "Sam Stein", "title": "Founder", "founder_bio": "Sam is the Co-founder & CEO of Trigo. Sam joins Trigo as a repeat founder previously in the food tech space. Prior to that, he spent 8 years in finance and private company investing at Citi, Richard Branson's Virgin Group, and RedBird Capital. Sam is a mission-driven founder excited about social impact. Born and raised in Atlanta, GA. Currently based in New York City. Sam has a B.A. in Government from Harvard.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/sam-s-8300188/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/4613485b3a1220dd854a1c7d0720afa23c808235.jpg" }, { "user_id": 1092278, "full_name": "Abe Wheeler", "title": "Founder", "founder_bio": "Abe built Trigo (YC W23), the first API for consumer rent data. Trigo was acquired by Snappt in August 2025.\n\nAbe is currently building the agent operations platform at Alignbase.\n\nBefore Trigo, Abe built AI adtech systems at Amazon. He has a B.S. in Computer Science from the University of Southern California.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/abrahamwheeler/", "x_url": "https://x.com/AbeWheeler5", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/54bcac822afe309a0b8920baa84fcd3f24b81aea.jpg" } ], "jobs": [], "news": [ { "title": "Snappt Acquires Trigo, Secures $50M Growth Financing - Los Angeles Times", "url": "https://www.latimes.com/b2b/ai-technology/story/2025-08-06/snappt-acquires-trigo-secures-50m-growth-financing", "date": "Aug 06, 2025" }, { "title": "Snappt Acquires Trigo to Strengthen Trust Infrastructure in Multifamily Leasing - Multifamily Executive", "url": "https://www.multifamilyexecutive.com/technology/snappt-acquires-trigo-to-strengthen-trust-infrastructure-in-multifamily-leasing", "date": "Aug 05, 2025" }, { "title": "Snappt Acquires Trigo to Enhance Applicant Trust Platform for Multifamily Housing, Secures $50M Growth Financing", "url": "https://finance.yahoo.com/news/snappt-acquires-trigo-enhance-applicant-160000786.html", "date": "Aug 04, 2025" }, { "title": "Snappt Acquires Trigo to Enhance Applicant Trust Platform for Multifamily Housing, Secures $50M Growth Financing – Company Announcement - FT.com", "url": "https://markets.ft.com/data/announce/detail?dockey=600-202508051200BIZWIRE_USPRX____20250805_BW739999-1", "date": "Aug 04, 2025" } ], "launches": [ { "id": 69852, "title": "🏠 Trigo 🏠 Rent data API for landlords and lenders", "tagline": "Approve better tenants & write more loans with rent data", "body": "Hi! We’re [Sam](https://www.linkedin.com/in/samsonstein/) & [Abe](https://www.linkedin.com/in/abrahamwheeler/), founders of [Trigo](https://trigodata.com/).\n\n**TLDR:** **Trigo** aggregates **consumer rent history** to help **landlords approve better tenants** and **lenders write more loans**. We have **25x more coverage** than the credit bureaus, and we’ve already consolidated **tens of thousands of rental units** to provide data instantly.\n\n![uploaded image](/media/?type=post&id=69852&key=user_uploads/1092278/edd9cd08-b7d8-48f6-8830-8a7d9f3d4731)\n\n## ❓ Rent Data is Missing\n\n🏠 **Landlords**: **Bad debt & evictions are at all time highs** in the U.S., and landlords need more data for added protection across the **60+ million tenants screened annually**. Applicants with positive rent history are **4x more likely** to pay their rent on-time and in full.\n\n🏦 **Lenders**: In 2021, financial institutions including Fannie Mae and Freddie Mac added rent payment data to their underwriting models to expand access to credit. Without rent data to input into these models, **lenders are writing 17% fewer loans than they could**. That’s a lot of missed loans across the **300 million consumer loan originations** annually in the U.S.!\n\n❌ **No solution exists** to consistently furnish this data to landlords and lenders today. The largest database has only **3% coverage** of rent data.\n\n## 🔌 Trigo Rent API\n\n**Trigo** is a federally regulated **Consumer Reporting Agency (CRA)** that provides this missing rent data set through a **real-time API** and web application. We’ve already consolidated **tens of thousands of rental units** to provide **instant data**. Where we don’t yet have data coverage, we **automate outreach** to landlords.\n\n## 👋 About Us\n\nWe’re repeat founders with consumer data and finance experience across Experian, Citigroup, and Amazon.\n\nTrigo began when Sam pulled his own credit report and realized not one of his landlords over the past decade had reported a single month’s rent payment to the credit bureaus. With a little research, we discovered that **this data has only 3% coverage in the market today**.\n\nSam met Abe through [YC cofounder matching](https://www.ycombinator.com/cofounder-matching) (amazing product - 🤝 YC!), and the rest is history.\n\n## 🙏 Our Ask\n\nThanks for reading about us. If you or someone you know is interested in our data, you can reach us at [**contact@trigodata.com**](mailto:contact@trigodata.com). In particular, we would love to talk to:\n\n1. **Landlords**\n2. **Property managers**\n3. **Proptech providers**\n4. **Lenders**: financial institutions or fintechs—mortgages, personal loans, credit cards, auto loans, etc.", "url": "https://www.ycombinator.com/launches/IAe-trigo-rent-data-api-for-landlords-and-lenders", "votes": 78, "created_at": "2023-03-01T22:01:50.095Z" } ] }, { "id": 27834, "name": "Bluebirds", "slug": "bluebirds", "former_names": [ "Find Champions", "Bluebirds AI" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/47112b0379733750dc3671dd3bcaf900644b154a.png", "website": "https://www.bluebirds.ai", "all_locations": "San Francisco, CA, USA", "long_description": "Bluebirds helps GTM teams automate outbound targeting with signals. Save your reps 2 hours a day from list building and prospect research. \r\n\r\nCreate custom intent signals from trusted data sources in 3 minutes. Bluebirds continuously scans your market and delivers ready-to-prospect Leads to your CRM.", "one_liner": "Automate outbound with signals", "team_size": 6, "industry": "B2B", "subindustry": "B2B -> Sales", "launched_at": 1676435630, "tags": [ "B2B", "Sales", "Enterprise", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2023", "status": "Acquired", "industries": [ "B2B", "Sales" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/bluebirds", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2023/bluebirds.json", "year_founded": 2022, "city": "San Francisco", "country": "US", "linkedin_url": "", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/47112b0379733750dc3671dd3bcaf900644b154a.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Jared Friedman", "url": "https://www.ycombinator.com/people/jared-friedman" }, "founders": [ { "user_id": 987806, "full_name": "Rohan Punamia", "title": "Founder", "founder_bio": "Rohan started his career at LinkedIn in Sales Operations, where he built an automated quota setting engine for a $1B+ business and 500 reps using Machine Learning and LinkedIn’s Knowledge Graph. He later became a zero-to-one Product Manager, where he built enterprise products for LinkedIn's Talent business -- once again using Machine Learning and the Knowledge Graph.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/rohanpunamia/", "x_url": "https://twitter.com/RohanPunamia", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/02373bf6a00365718898626dddae9fb3b136fbbe.jpg" }, { "user_id": 636982, "full_name": "Kunal Punera", "title": "Founder", "founder_bio": "Kunal has held leadership positions at LinkedIn and Google; most recently he was a Director of AI at LinkedIn where he ran AI teams for the Recruiter, Premium, and Learning products, accounting for many billions in revenue. In 2014, Kunal co-founded Bento Labs, and prior to that he was a founding engineer at RelateIQ (sold to Salesforce for ~$400M) where he built their entire ML stack. Kunal has a PhD in ML from Univ of Texas at Austin, and worked at Yahoo! Research on NLP and Generative Models.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/kpunera/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/4ee884a06a2249a13f8d411208976e932c4375ec.jpg" } ], "jobs": [], "news": [ { "title": "Bluebirds bags $5M for sales AI that finds the 'best leads first' | VentureBeat", "url": "https://venturebeat.com/ai/bluebirds-bags-5m-for-sales-ai-that-finds-the-best-leads-first/", "date": "Oct 18, 2023" } ], "launches": [ { "id": 69546, "title": "Bluebirds - Resell to past customers who switched jobs", "tagline": "Sign up and Bluebirds will automatically identify champions using Machine Learning, detect job changes, and deliver hundreds of warm leads ranked by your ICP. Oh, and it's free.", "body": "### **TL;DR**\n\n* **What:** Bluebirds helps outbound teams resell to past customers who have switched jobs. Past customers are **4x more likely to convert to Closed / Won deals** with **much faster sales cycles.** It’s low hanging fruit and flies under the radar because of stale CRM data and workflow limitations.\n* **How:** Any sales rep, manager, or rev ops can sign up on [www.bluebirds.com](http://www.bluebirds.com) and Bluebirds will automatically identify champions using Machine Learning, detect job changes, and deliver hundreds of warm leads ranked by your ICP.\n* **Traction:** Revenue teams at scale-ups like Front, OneSignal, and a dozen more use Bluebirds to track their customer job changes and maximize outbound efficiency.\n* **Ask: Sign up, or refer any sales teams, and we’ll deliver 100 free warm leads.**\n\n![uploaded image](/media/?type=post&id=69546&key=user_uploads/987806/859fa27a-5373-4527-8d37-2fe95c918ec1)\n\n### **Problem and why existing solutions don’t work**\n\nOutbound sales isn’t working like it used to. **Conversions rates have tanked** because every sales team is using the same tech stack to spam buyer inboxes, and sales leaders are under pressure from their CEOs and Boards to grow efficiently. But most of the **outbound sales process is not efficient at all.**\n\nLuckily there’s one sales play that works exceptionally well – reselling to your past customers who already trust your company and switched jobs. These leads, AKA _“blue birds”_, are your sales teams’ favorite. They’re layups, but also painfully difficult to track at scale.\n\n**Existing solutions like LinkedIn Sales Navigator aren’t deeply connected to your CRM**. They don’t know who your customers are or what your ICP is, and rely on **manual / brittle filters** **that break** once you have over \\~100 customers. The result is that most of your reps just aren’t tracking customer job changes.\n\nYet 10% to 20% of your CRM contacts have already switched jobs, and 1 to 2% switch every month.\n\nThis 👏 Is 👏 ARR 👏 Left 👏 On 👏 The 👏 Table 👏\n\n### **How Bluebirds works**\n\nWhat used to take reps hours to hack in Sales Navigator now happens automatically with 2 clicks and runs continuously in the background. Oh, and it’s free to get started. Here’s how:\n\n* **Sign Up:** Anyone (Founders, VPs, Managers, AEs, SDRs, Sales Ops, etc.) can [sign up on our website](https://bluebirds.com) and log in via SFDC secure authentication.\n* **Find Champions:** Our algorithms will find which contacts in your CRM are likely to buy your product again.\n* **Match Identities:** We’ll match your sparse contacts to public identities (i.e. john@hotmail is John Smith at Airtable) and check if they’ve switched jobs.\n* **Deliver Leads:** Finally we’ll rank all the leads based on similarity to your ICP and send them to you, along with monthly updates with any fresh job changes.\n\n### **Why us**\n\n![uploaded image](/media/?type=post&id=69546&key=user_uploads/987806/ab789d18-71a3-4cc5-a5bf-38e4cea98af4)\n\n[Kunal](https://www.linkedin.com/in/kpunera/) and [I](https://www.linkedin.com/in/rohanpunamia/) are well-versed with contact data and building AI systems to solve sales problems. I used to work in Sales Operations and Product at LinkedIn. Kunal was an AI Director at LinkedIn & Google, founding AI engineer at RelateIQ (sold to Salesforce), and earned his PhD in Machine Learning.\n\n### **How you can help**\n\n* **Intros to sales managers and leaders** at companies with at least a few hundred customers (usually Series B onwards). For sales orgs that fit what we’re looking for, we’ll offer free leads a no-brainer deal (seriously).\n* [**Share our website**](http://bluebirds.com) **with sales reps or relevant communities** and ask them to sign up! We’ll hook them up with leads to hit their quota.\n\nIf you have any questions or can make intros, my email is [rohan@bluebirds.ai](mailto:rohan@bluebirds.ai)", "url": "https://www.ycombinator.com/launches/I5i-bluebirds-resell-to-past-customers-who-switched-jobs", "votes": 21, "created_at": "2023-02-22T17:07:44.636Z" } ] }, { "id": 27911, "name": "IcePanel", "slug": "icepanel", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/dbd813cd554f2fcf891554ea0c9a4e0eceff792e.png", "website": "https://icepanel.io", "all_locations": "North Vancouver, BC, Canada", "long_description": "IcePanel is a collaborative diagramming tool that helps software engineering and product teams align on technical decisions. Teams use IcePanel to create a map of their software systems, giving them full context about how it works.", "one_liner": "Design and explain complex software architecture.", "team_size": 9, "industry": "B2B", "subindustry": "B2B -> Engineering, Product and Design", "launched_at": 1669087724, "tags": [ "Developer Tools", "SaaS", "B2B", "Collaboration", "Enterprise" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Winter 2023", "status": "Active", "industries": [ "B2B", "Engineering, Product and Design" ], "regions": [ "Canada", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/icepanel", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2023/icepanel.json", "year_founded": 2021, "city": "North Vancouver", "country": "CA", "linkedin_url": "https://www.linkedin.com/company/icepanel/", "x_url": "https://twitter.com/ice_panel", "fb_url": "https://www.facebook.com/icepanel", "cb_url": "https://www.crunchbase.com/organization/icepanel", "github_url": "https://github.com/IcePanel", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/dbd813cd554f2fcf891554ea0c9a4e0eceff792e.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Brad Flora", "url": "https://www.ycombinator.com/people/brad-flora" }, "founders": [ { "user_id": 690358, "full_name": "Jacob Shadbolt", "title": "Founder/CEO", "founder_bio": "🧊 IcePanel Co-Founder | I am building a simpler (cooler) way to talk about system design and share technical knowledge. Before IcePanel, I was a UX Designer at Mastercard, working on greenfield real-time payment products, including monitoring and mobile payments. I prefer solving \"boring\" problems over jumping on hype trains. Stay chill.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/jacob-shadbolt-design/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/1c3b5e696e164622ef8f794349042621d956194b.jpg" }, { "user_id": 690349, "full_name": "Victor Leach", "title": "Founder", "founder_bio": "🧊 IcePanel Co-Founder | I have a passion for discovering and solving problems with technology, and my mission is to make products that people love!", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/victorleach/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/2e727d275ed407a2309d229d2376f52f01c89e17.jpg" } ], "jobs": [ { "id": 72555, "title": "Senior Full Stack Engineer", "url": "https://www.ycombinator.com/companies/icepanel/jobs/KlI6KP6-senior-full-stack-engineer", "location": "Vancouver, BC, CA", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$170K CAD", "equity_range": "0.20% - 0.70%", "experience": "6+ years", "visa": "US citizenship/visa not required", "skills": [ "Google Cloud", "Node.js", "TypeScript", "Vue.js", "Tailwind" ] } ], "news": [], "launches": [ { "id": 67487, "title": "🧊 IcePanel - Collaborative system design; linked with reality", "tagline": "A lightweight visual approach to modelling software architecture, linked with resources in the real world.", "body": "### **⚡️TL;DR**\n\nCommunication of software systems is hard, visuals help but often lack consistency and are out-of-date within weeks.\n\nIcePanel is a SaaS tool for tech teams to collaborate on their software architecture design.\n\n### **👋 Who are we?**\n\nHey all, we’re [Victor](https://www.linkedin.com/in/victorleach/) and [Jacob](https://www.linkedin.com/in/jacob-shadbolt-design/), the founders of 🧊 [IcePanel](http://icepanel.io).\n\n### **🤬 Problem**\n\nSoftware teams currently use generic diagramming tools to communicate complex systems.\n\n* Software systems are becoming increasingly complex and are hard to explain.\n* Technical teams often find it challenging to tell the right story and gain alignment.\n* Technical diagrams are inconsistent, lack context and drift from reality - becoming out-of-date in a matter of weeks.\n* Engineering and product teams are often misaligned, especially in technical areas.\n\n💩 Bad communication across teams is time-consuming and expensive.\n\n### **🚀 Our solution**\n\nHelp humans visually communicate complex systems; linked to resources in reality.\n\n**1️⃣ Modelling**\n\n> * IcePanel is a collaborative modelling tool, that provides a single source of truth with reusable objects and relationships, keeping your diagrams in sync and up-to-date with changes.\n\n**2️⃣ Consistent language**\n\n* IcePanel is built upon the [C4 model](http://c4model.com), a lightweight layered approach designed for technical and non-technical audiences. This brings consistency to visual & verbal communication about software architecture.\n\n**3️⃣ Linked to reality**\n\n* IcePanel objects can be linked to resources in reality, such as files in Git, that flag as out-of-date if they no longer exist.\n\n### **🫣 Sneak peek**\n\n_Levelled diagramming_\n\n![uploaded image](/media/?type=post&id=67487&key=user_uploads/690358/af8b9aee-00f4-48c5-9215-1c5a75cbb7b9)\n\n_Dynamic flows_\n\n![uploaded image](/media/?type=post&id=67487&key=user_uploads/690358/ead5d78e-c923-41bb-b34a-74d8d03bb9b8)\n\nWant to see more? [Head over to IcePanel!](https://icepanel.io)\n\n### **🙌 Our ask**\n\n* [Try us out](http://icepanel.io) for free & let us know your feedback\n* Connect us with engineering teams who struggle to fully understand their systems\n* Share with your developer or product friends", "url": "https://www.ycombinator.com/launches/HYV-icepanel-collaborative-system-design-linked-with-reality", "votes": 26, "created_at": "2022-11-23T00:36:21.646Z" } ] }, { "id": 27952, "name": "Finic", "slug": "finic", "former_names": [ "Triton", "Buff", "Sidekick", "Psychic", "Dealwise" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/06180819ad31c1d2ee1b4b62d506fd5e7655aec4.png", "website": "https://www.finic.ai", "all_locations": "San Francisco, CA, USA", "long_description": "Finic helps teams stop fraud, abuse, and financial crimes with system on models that make accurate decisions in fractions of a second, and system two agents that automate investigations end-to-end.", "one_liner": "Frontier AI to stop fraud, abuse, and financial crimes.", "team_size": 4, "industry": "Fintech", "subindustry": "Fintech", "launched_at": 1677272534, "tags": [ "Compliance", "Enterprise", "Automation", "Fraud Detection", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2023", "status": "Active", "industries": [ "Fintech" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/finic", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2023/finic.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/finic-ai/", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/06180819ad31c1d2ee1b4b62d506fd5e7655aec4.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/1c9eadc7f39d66903aedf0861616956033002285.png" ], "primary_partner": null, "founders": [ { "user_id": 139135, "full_name": "Jason Fan", "title": "Founder", "founder_bio": "Ex security & product @ Robinhood. University of Toronto Computer Science.", "is_active": true, "linkedin_url": "https://ca.linkedin.com/in/jason-fan-b59767104", "x_url": "https://twitter.com/jfan001", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/970d5fd882ee5ceec1544145866e19f878696341.jpg" }, { "user_id": 487696, "full_name": "Ayan Bandyopadhyay", "title": "Founder", "founder_bio": "Founder @ Finic (YC W23). Caltech class of 2020, former software engineer at Robinhood.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/ayan-bandyopadhyay-9a45b1103/", "x_url": "https://twitter.com/ayanicband", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/84f47331f39f9e66682b24a2dc6262c3ce44ca15.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 120575, "title": "Grayson: A universal decision model for fraud, risk, and financial crimes", "tagline": "Real-time risk decisions at 1/100th the cost of Sonnet 5.5", "body": "Hey everyone 👋 I'm Jason, CEO of [Finic](https://finic.ai). Today we're launching **Grayson**, the first universal decision model trained to catch fraud, abuse, and financial crimes in real time.\n\n**TL;DR:** Send Grayson any context (logins, transactions, case notes, call transcripts) and a set of questions. Get back a calibrated probability for every answer in under 150ms. On fraud and risk benchmarks it's as accurate as Claude Sonnet 5.5 at 1/100th the cost, and it beats Jev. Zero data retention by default. [Request API access](https://finic.ai) and get $25 in free credit.\n\n![uploaded image](/media/?type=post&id=120575&key=user_uploads/139135/042eac49-1269-4f2c-b51e-d7f1476d31da)\n\n### ❌ The problem\n\nI joined Robinhood pre-IPO and built our fraud investigations platform, along with some of our most critical authentication controls. I saw the same problem over and over: many risk decisions need human-level judgment, but they come up so often that paying a human (or an AI agent) to make them is financially unworkable.\n\n* Should this new device require step-up authentication?\n* Should we allow this transaction, or block it?\n* Should this ticket go to fraud, or to customer support?\n* Does this call log show signs the customer is being scammed?\n* Is this fraud?\n\nToday, teams answer these with some mix of:\n\n* **Rules** that are brittle and get gamed the week after they ship\n* **Custom ML models** that take months, need labeled data, and have to be retrained every time a question or data source changes\n* **Frontier LLMs** that take seconds, cost dollars per thousand calls, return prose you have to parse, and are confidently wrong\n* **Humans or agents** who can do it well, but not on every login, transaction, and ticket\n\n### ✅ The solution: Grayson\n\nGrayson is a **decision model**: you can't chat with it. You give it context and typed questions, and it returns only probabilities, so a rules engine, router, or review queue can use them directly.\n\n```\n// Request (abridged)\n{\n \"context\": { \"known_devices\": [...], \"events\": [...] },\n \"questions\": [\n { \"name\": \"is_ato\", \"type\": \"noul\", \"instructions\": \"Are there signs of an ATO?\" },\n { \"name\": \"top_device_family\", \"type\": \"choice\",\n \"instructions\": \"Which device family do they use the most?\",\n \"options\": [\"apple\", \"android\", \"other\"] }\n ]\n}\n\n// Response\n{\n \"is_ato\": { \"value\": true, \"probability\": 0.999 },\n \"top_device_family\": { \"value\": \"apple\",\n \"probabilities\": { \"apple\": 0.999, \"android\": 0.001, \"other\": 0.000 } }\n}\n```\n\n![uploaded image](/media/?type=post&id=120575&key=user_uploads/139135/7b6becc9-a9de-4478-a6ac-a7920a35f2cd)\n\n* **Universal:** any context, structured or unstructured, and any question: yes/no, multiple choice, or a score. No retraining when your data or processes change.\n* **Calibrated:** when Grayson says 0.8, it's right about 8 times in 10. So you can set thresholds, auto-approve the clear calls, send the close ones to review, and move the threshold later without retraining.\n* **Fast and cheap:** under 150ms of model time for typical requests, at $0.035 per million input tokens (about $0.11 per 1,000 requests on our benchmarks).\n* **Private:** zero data retention by default. We never store the context, questions, or answers you send.\n\nGrayson is trained with Reinforcement Learning for Calibrated Decisions (RLCD). Credit to the TypeSafe team behind Jev for pioneering RLCD and the \"System One\" model. Grayson takes that idea and specializes it for fraud, risk, and trust & safety.\n\n### 📊 Benchmarks\n\nWe ran Grayson against Jev, Claude Opus 5.5, Claude Sonnet 5.5, GPT-6.1 Sol, Kimi K3, and Laya on six fraud and risk datasets: four public benchmarks (LendingClub, customs fraud, fake job postings, scam/phishing email) and two of our own held-out evaluation sets.\n\n![uploaded image](/media/?type=post&id=120575&key=user_uploads/139135/4c4a9563-db5f-4ce0-a307-9ad52568bb5c)\n\n![uploaded image](/media/?type=post&id=120575&key=user_uploads/139135/9d4f3e5c-a61d-4f68-907c-d69f89342eab)\n\nGrayson has the best log loss and the highest % right of any model, which matters most for a model whose job is to output probabilities you can threshold on. On the \"is it fraud?\" questions with known outcomes, it has the best log loss of every model tested:\n\n![uploaded image](/media/?type=post&id=120575&key=user_uploads/139135/470e932a-f3d2-4b02-80c2-f16c77137a3a)\n\nAnd on general business decisions (JevBench and EIKOS), Grayson is level with Jev (0.971 vs. 0.974 AUC-PR), while frontier models score 0.988–0.998 at 100–500x the cost.\n\nFull methodology, datasets, and charts are in the [announcement post](https://finic.ai/blog/introducing-grayson).\n\n### 🙏 The ask\n\n* **If you run fraud, risk, or trust & safety** at a fintech, bank, lender, or marketplace: [request API access](https://finic.ai). Every account gets $25 in free credit. We're in early beta (GPUs are still hard to get!) and are rolling out access gradually.\n* **Intros:** we'd love to meet heads of fraud, risk, and T&S, and the engineers who own rules engines and decisioning platforms.\n* Questions or ideas for what Grayson should answer? Email me at [jason@finic.ai](mailto:jason@finic.ai).", "url": "https://www.ycombinator.com/launches/VMl-grayson-a-universal-decision-model-for-fraud-risk-and-financial-crimes", "votes": 2, "created_at": "2026-10-07T20:23:18.171Z" }, { "id": 85671, "title": "Finic 🕵️‍♂️ - AI that investigates financial fraud", "tagline": "Helping fintechs increase fraud ops capacity, improve accuracy, and resolve cases 80x faster.", "body": "We’re Jason and Ayan, the founders of Finic. We help fintechs automate fraud investigations with AI agents.\n\n![uploaded image](/media/?type=post&id=85671&key=user_uploads/139135/4a8b26cc-6258-4e8a-93c7-1779e1768748)\n\n## tl;dr\n\nFinic lets fraud ops teams at financial institutions scale up their capacity by 10x without increasing headcount. We use intelligent automation to analyze structured data (SQL queries, risk scores) and unstructured data (customer support tickets, adverse media), allowing us to triage tickets and generate case notes twenty times faster and at 80% lower cost compared to tier 1 fraud analysts.\n\n---\n\n—\n\n---\n\nAt Robinhood, we led the identity team. One of our key mandates was to prevent, detect, and investigate fraud, with a specific focus on identity fraud. We were able to reduce account takeover (ATO) fraud losses by 95%, but it took us 10 months and a lot of new hires to get there, largely due to **bottlenecks in the human review process.** We tried automating fraud SOPs, but weren’t able to arrive a compelling solution because at the time there wasn’t a way to automate the biggest bottle neck to fraud reviews - subjective reasoning.\n\nNow, we’re building Finic to be the product we wish we had, with AI that now makes this possible.\n\n## **Why is this important?**\n\nConsumer financial fraud losses crossed $10bn for the first time in 2023, and is likely to keep growing as new technology also enables new attack vectors, most recently with synthetic identities created by GenAI.\n\nThe way financial institutions prevent fraud is usually split into three parts:\n\n* **Prevention:** Find and closing loopholes that enable fraud in the first place.\n* **Detection:** using ML or heuristic models (aka “rules engine”) to detect unusual activity.\n* **Response:** Investigating cases of potential fraud, deciding on a course of action, and, in some cases, writing reports detailing the investigation.\n\nPrevention is typically achieved through product improvements, and the market for data products that help with fraud detection is mature. However, **the way that companies respond to fraud is still mostly done by human review** by a combination of highly skilled onshore and low-skilled offshore analysts.\n\n## **Problem**\n\nUsing humans as the front line of fraud investigations is not ideal for several reasons:\n\n* **Humans make mistakes.** For CS tickets, mistakes mean frustrated customers. For fraud cases, mistakes can result in thousands or millions in losses and compliance headaches that last years.\n* **Humans take a long time to train.** Fraudsters change tactics frequently. By the time a team of analysts is fully trained on a new fraud typology, fraudsters have already moved on to other strategies.\n* **Humans are expensive to scale.** The average offshore agent costs $43,000 per year and has a throughput of about 250 cases per month. This means it costs companies $14 per case to investigate fraud, and that’s not even factoring in the period it takes to onboard and train new agents, which is a constant problem since turnover is so high.\n\nFinancial institutions aggressively overhire when fraud is bad, yet still find themselves unable to respond quickly to new fraud typologies, leading to **millions in preventable losses per quarter.** As a result, every fraud ops team I’ve worked with is either understaffed and overworked, or overstaffed and just waiting to be laid off.\n\n## **Solution**\n\nFinic allows fraud ops teams to build custom AI agents that execute SOPs autonomously, improving on the work of junior fraud analysts and allowing the team to scale capacity by 100x with the click of a button.\n\n![uploaded image](/media/?type=post&id=85671&key=user_uploads/139135/1211dd85-7c36-4f73-b1f8-5ab59a333550)\n\nThis gives fraud ops teams several superpowers:\n\n* **Accuracy and explainability:** Finic agents document each step of their workflow, making it easy for senior analysts to audit, which means fewer mistakes. Case notes written by human analysts take much longer and are often inconsistent.\n* **React faster to new fraud vectors:** Finic agents can be created, trained, and scaled to 1000s of cases per day in a matter of hours, something that would be impossible for a team of human analysts.\n* **Scale capacity instantly:** Fraud ops can now scale capacity as easily as engineering can scale web services. Finic agents complete investigations in 1-5 minutes, compared to 1-2 hours for human analysts.\n\nThe Finic platform has three parts, all of which are built on top of a multimodal reasoning engine.\n\n### **SOPs**\n\nEach Finic agent is defined with a SOP, or list of actions they need to take in order to investigate a ticket. This can include data retrieval steps to build a profile of the customer’s activity, analysis steps to reason about whether fraud is taking place (and if so, what kind), as well as actions the agent can take once a decision is made, like escalating tickets for human review.\n\nCustomers can create an SOP on Finic from scratch or import an existing document to **automatically generate each action based on existing SOPs.**\n\n![uploaded image](/media/?type=post&id=85671&key=user_uploads/139135/d3036616-7071-4c1a-a95d-9777fe9b412c)\n\n### **Tools**\n\nFraud analysts need many tools to conduct an investigation, from internal dashboards to SQL tables to vendor data.\n\nFinic uses intelligent automation to connect to any data source and use it the same way a human analyst would: through a browser.\n\nRather than waiting for the engineering team to build new APIs, all it takes to get started with Finic is a list of credentials for the tools they use, drastically **reducing the time it takes to get to ROI.**\n\n### **Audit Logs**\n\nWhether the investigator is an AI agent or a human analyst, keeping a trail of why decisions were made is just as important as making the right decision. In fact, several regulations mandate that financial institutions keep logs of not just transactions but also the reasons why transactions or accounts were flagged as fraudulent.\n\nFinic agents “think out loud” and document each step in the SOP, including what data sources they used, how they arrived at their conclusions, and what steps they took afterward. This makes it easy for senior analysts to review agent activity to ensure compliance and is usually more comprehensive than the reports generated by junior analysts.\n\n## Learn more\n\nHere’s a list of some of the types of fraud we’re helping customers remediate:\n\n* Identity Fraud: Reviewing KYC tickets to determine if new signups are using stolen/synthetic identities, or if the account is being used as a proxy by a malicious third party.\n* Friendly Fraud: Reviewing account activity and dispute packages from third parties to determine if customer-reported issues like credit card chargebacks are legitimate.\n* Account Takeovers (ATO): Reviewing accounts flagged with unusual login activity, and looking at device fingerprint, IP address, transaction activity and other signals to determine if the account has been compromised.\n\nIf you’re a fintech looking for ways to 10x the capacity of your fraud ops team without increasing headcount, **email me at **[**jason@finic.ai,**](mailto:jason@finic.ai)** and I’d be happy to show you a demo.**", "url": "https://www.ycombinator.com/launches/MHn-finic-ai-that-investigates-financial-fraud", "votes": 22, "created_at": "2024-11-18T20:31:43.972Z" }, { "id": 77023, "title": "🌱 Dealwise: an AI powered investment bank for startups", "tagline": "Get acquisition offers in just 3 months. No exclusivity, cancel anytime", "body": "We’re Jason and Ayan from the W23 batch of YC, and we’re building **Dealwise, an AI powered investment bank for startups**\n\n### **TL;DR:**\n\nDealwise helps founders sell their startup. We use AI to automate the back office work associated with dealmaking. This let us serve startups too small for traditional investment banks, while running an accelerated process that gets founders offers in half the time.\n\nContact me at [jason@godealwise.com](mailto:jason@godealwise.com) or visit [godealwise.com](http://godealwise.com) to learn more!\n\n### Background\n\nBefore being founders, Ayan and I were each other’s PMs and software engineers at Robinhood. Around August 2023, we noticed a lot of interest in M&A activity from our founder friends, including one batchmate who we advised informally in the sale of his startup. We started learning about what it takes to get deals done, and that’s when we realized there was a massive gap in advisory services for founders who want to step off the venture path (or were never on it in the first place) that existing service providers don’t fill.\n\n![uploaded image](/media/?type=post&id=77023&key=user_uploads/139135/6ef79a46-b348-4364-b427-e798acfd74d7)\n\n### **The problem**\n\nSelling a company is hard. In fact, **over 90% of deals fall apart before the transaction closes!** Acquisitions are like babies - each one is a miracle, but somehow they still happen all the time. This difficulty is why the investment banking industry rakes in over $300bn per year. \n\nGiven the high failure rates, founders must run an efficient process. They can’t afford to waste months or even years on a deal that never closes.\n\nUnfortunately, if you’re the founder of a startup worth less than $50M, no reputable investment bank is going to work with you, as they won’t generate enough in fees for it to be worth their time.\n\nThis leaves founders with just a few options that, frankly, all suck.\n\n**Traditional M&A Advisors**\n\nThere are many M&A advisors (sometimes called business brokers) in the lower end of the market that work with small businesses. However, selling a small company is just as much work as selling a much bigger one, so successful advisors tend to move upmarket. That means most advisors working with startups are either bad at their job, or very new and inexperienced. \n\nDue to the high failure rates in M&A, advisors sign as many clients as possible and lock them in to exclusivity agreements that ensure they get paid a fee if any client sells in the next 2 years, regardless of whether the advisor was involved. This is not an extreme case, **these predatory agreements are the norm** for M&A advisory firms.\n\nPlus, traditional M&A advisors almost always come from a business background - few understand the software industry or have networks that are better than the founders they work with.\n\n**Marketplaces**\n\nMarketplaces like Flippa or Acquire.com are great for four, five and six figure transactions paid for in cash by individuals, but serious corporate and institutional buyers avoid these platforms.\n\nFor transactions that are seven figures and up, buyers usually need some combination of equity and/or debt financing, which means the bar is much higher for diligence. It also means founders expect a lot more support through the process than what they get listing on a public marketplace.\n\n**DIY**\n\nGiven the alternatives, it’s no wonder most founders with between $1mm and $5mm revenue opt to DIY their acquisition process.\n\nUnfortunately we see many founders who’ve gotten stuck in a viscous cycle of: spend time chasing buyers → get distracted → growth declines → selling gets harder → spend even more time chasing buyers → growth declines more → ultimately shut down.\n\nThe median founder sells 0 companies in their lifetime, so it makes no sense to become a M&A expert when you have a business to run.\n\n### **The solution**\n\nWe started Dealwise in December 2023 to help startup founders get acquired. We use AI to automate the back office work, which means we get healthy margins on transactions that are too small for investment banks. More importantly, it allows us to **run a process in just 3 months** compared to the typical 6-12 months process for M&A advisors and investment banks. As a founder, it means you can get feedback sooner instead of wasting a year with an M&A advisor who’s stringing you along but not doing much work for you behind the scenes.\n\nWe’re new, but our track record is phenomenal. Traditional M&A advisors typically take a minimum of 6 months to close a deal, and 12 months or more if it’s their first deal. We went from launch → 7 figure deal closed in just 3 months, with several more under offer. Our record for clients was just 4 weeks from the start of our engagement to first offer submitted.\n\nAs we scale, we’ll apply our experience building LLM tooling at our previous startup to continue automating tasks like buyer prospecting, thesis generation, NDA signing, and data room creation so we can focus our time on supporting founders through their acquisition journey.\n\n### **Why is this important?**\n\nPatrick and John Collison sold a little known startup called Auctomatic in 2008 before founding Stripe. Sam Altman’s first company, Loopt, raised $30M from investors only to sell for a “modest” $40M. Before Uber, Travis Kalanick spent six years trying to make a startup called Red Swoosh work, at one point moving back in with his parents, before finally selling it in 2007. And Socialnet was considered a failure by its founder, Reid Hoffman, after being acquired for a “modest sum” in 2002.\n\nFor startups that struggle to hit escape velocity, sometimes the best option is to sell it so the founders can move on to greener pastures.\n\n![uploaded image](/media/?type=post&id=77023&key=user_uploads/139135/a9f2b058-74b2-404f-a8f0-eb8921afbc1a)\n\nBut selling a startup is a difficult, and often lonely process. We want to be there for founders when their VCs have stopped replying.\n\n## **Our ask**\n\nIf you know a founder who are considering an exit, email me at [jason@godealwise.com](https://www.gsb.stanford.edu/experience/about/centers-institutes/ces/research/search-funds). We keep conversations 100% confidential and I’ll be more than happy to chat even if all they’re looking for is some advice and insights on the market.\n\nThe founders who will best fit for Dealwise have a few things in common:\n\n* They sell software, or software-enabled services\n* They have at least $1mm in ARR\n* They are profitable or have a clear path to profitability\n* They are motivated - if they had to choose between an exit and raising a round, they’d choose to exit\n* They already have buyer interest and are looking to run a more competitive process\n\nLearn more on [our website](https://godealwise.com/), or reach me at [jason@godealwise.com](https://www.gsb.stanford.edu/experience/about/centers-institutes/ces/research/search-funds) if you want to chat about acquiring or exiting a startup.", "url": "https://www.ycombinator.com/launches/K2J-dealwise-an-ai-powered-investment-bank-for-startups", "votes": 24, "created_at": "2023-12-19T17:04:54.030Z" } ] }, { "id": 27982, "name": "Clueso", "slug": "clueso", "former_names": [ "Desklamp" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/8bb9d01e5193ccdd98bfdf1cea08fb2ede901fe5.png", "website": "https://clueso.io", "all_locations": "Bengaluru, KA, India", "long_description": "Clueso is the fastest and easiest way for companies to generate high-quality instructional videos and documentation, ideal for customer education/onboarding and employee training. Our AI transforms simple screen-recordings into studio-quality videos and step-by-step documentation in minutes.", "one_liner": "Create beautiful videos & docs for any product or process in minutes", "team_size": 25, "industry": "B2B", "subindustry": "B2B -> Engineering, Product and Design", "launched_at": 1677925658, "tags": [ "Generative AI", "SaaS", "B2B", "Customer Success", "Enterprise" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2023", "status": "Active", "industries": [ "B2B", "Engineering, Product and Design" ], "regions": [ "India", "South Asia" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/clueso", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2023/clueso.json", "year_founded": 2023, "city": "Bengaluru", "country": "IN", "linkedin_url": "https://www.linkedin.com/company/clueso", "x_url": "https://twitter.com/_Clueso", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/8bb9d01e5193ccdd98bfdf1cea08fb2ede901fe5.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/a318105dbc08033ac97808c00731b2717e956ee9.png", "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/9db2d83d735ac0f971891d671b741aa026fed056.png" ], "primary_partner": { "name": "Brad Flora", "url": "https://www.ycombinator.com/people/brad-flora" }, "founders": [ { "user_id": 1159730, "full_name": "Akash Anand", "title": "Founder", "founder_bio": "Co-founder & CEO at Clueso. \nAI to automate video creation for marketing, support, sales, and training teams. ", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/theakashanand/", "x_url": "https://twitter.com/realAkashAnand", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/a7153577a8363c9b34d410626830c013aa88ddbb.jpg" }, { "user_id": 1156693, "full_name": "Neel Balar", "title": "Founder", "founder_bio": "I'm Neel, CBO at Clueso. Prior to Clueso, I built and scaled a consumer note-taking app to 20K+ users while in college. I studied Engineering Design and Data Science at IIT Madras. I previously led Asia's most advanced student Hyperloop team, where we raised $1.1M from the Indian govt. I also represented India at the SpaceX Hyperloop Pod Competition organized by Elon Musk. ", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/neelbalar7/", "x_url": "https://twitter.com/BalarNeel", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/c208d0c8a14f7da8da25a572bf83947c740cc12a.jpg" }, { "user_id": 1156437, "full_name": "Prajwal Prakash", "title": "Founder", "founder_bio": "I'm Prajwal, co-founder at CTO at Clueso. I'm a Bangalorean and a recent (2022) CS grad from IIT Madras where I graduated top of my batch. I've always loved building products (previously made Desklamp, a consumer notetaking app) and working with nascent technologies (interned at Adobe AI, co-founded a quantum machine learning group in college). When I'm not thinking about tech, I write stand up sets.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/prajwalprakash2000/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/3e228947a894dc4c36a882b59bb9d09b487d332d.jpg" } ], "jobs": [], "news": [ { "title": "Business video automation startup Clueso raises $10M to kill off manual production processes", "url": "https://siliconangle.com/2026/10/13/business-video-automation-startup-clueso-raises-10m-to-kill-off-manual-production-processes/", "date": "Oct 13, 2026" }, { "title": "Announcing our $1.4M seed funding | Clueso", "url": "https://www.clueso.io/blog-posts/announcing-our-seed-funding", "date": "Apr 23, 2024" } ], "launches": [ { "id": 106963, "title": "Clueso Agents: Ship product videos automatically, whenever you ship features.", "tagline": "Launch videos, product demos, help tutorials, and more - all created automatically with every release.", "body": "Every new feature needs a launch video, help tutorial, sales demo, and more such content.\n\nClueso Agents automate the entire video production pipeline. From generating screen recordings of your product to voiceovers, motion graphics, and visuals that match your brand style.\n\nWith Clueso Agents, your content team can ship as fast as your engineering team does.\n\n[**https://youtu.be/2rio5VoUUV8**](https://youtu.be/2rio5VoUUV8)\n\n**🔴 The Problem**\n\nVideos are the best way to communicate your product’s value.\n\nBut they’re still created manually. For every new feature, your content team has to figure out what’s new, screen record the product, and edit the video with motion graphics and animations.\n\nThe result is a permanent backlog. By the time content is ready, the product has already moved on.\n\nTools like Loom and Screen Studio help you move faster, but only by compromising on quality.\n\n**🟢 The Solution**\n\nInstead of manually producing every video, let Clueso Agents ([**clueso.io/agents**](http://clueso.io/agents)) handle the entire production pipeline.\n\nHere's how it works:\n\n1. **Connect your product:** Give Clueso login credentials to your product or connect with GitHub, and provide one reference video that represents your brand style.\n2. **Every release becomes a trigger:** Clueso understands what changed and creates production plans for new features. It can also identify outdated videos in your existing library.\n3. **Our agent screen-records your product:** It logs into your product, navigates through the workflows, and captures polished screen recordings of the features you want to show. Fully autonomously.\n4. **AI handles the entire edit:** Along with the recordings, Clueso generates the voiceover, beautiful motion graphics, zooms and visual effects, captions, music, and applies your brand style.\n\nYou can also build workflows in Claude with the Clueso MCP, so video creation becomes just another step in your existing automations.\n\n**Why we're building this**\n\nOver the last two years, we built an AI video editor for product videos. Along the way, after working with 1,000+ SaaS companies, we realized editing wasn’t the only bottleneck.\n\nThe hard part was understanding what changed in the product, figuring out what to show in the demo, recording it cleanly, and keeping an entire video library up to date as the product evolved.\n\nWe’ve now replaced our recording extension with a browser agent that captures the recordings for you.\n\nOne customer recently rolled out a complete UI redesign that left nearly 700 videos out of date. With Clueso Agents, they refreshed the entire library in days instead of months.\n\nTo learn more and get started for free, book a demo with us at clueso.io/agents.\n\nWe can’t wait to show you agents in action!", "url": "https://www.ycombinator.com/launches/RpD-clueso-agents-ship-product-videos-automatically-whenever-you-ship-features", "votes": 15, "created_at": "2026-07-22T17:57:25.874Z" }, { "id": 95851, "title": "Clueso: Product Videos in Minutes with AI", "tagline": "Your product ships fast. Your videos should too.", "body": "Hey all, we’re [Akash](https://www.linkedin.com/in/theakashanand/), [Prajwal](https://www.linkedin.com/in/prajwalprakash2000/), and [Neel](https://www.linkedin.com/in/neelbalar7/) from Clueso!\n\n**TL;DR:** Introducing Clueso – AI that turns any rough screen recording, document, or slide deck into a stunning video in minutes.\n\nhttps://youtu.be/OlOVMA06tpA\n\n## 🔴 The Problem\n\nOrganizations today need to produce more videos than ever, for a variety of use cases:\n\n* product demos\n* marketing and feature launches\n* customer onboarding\n* internal training\n* sales enablement\n* product, process, and workflow training\n\n… and so much more.\n\nBut creating these videos is time-consuming and requires specialized skills. And despite all the effort, engagement is usually low.\n\n## 🟢 The Solution\n\nClueso solves this. Our AI turns any rough screen recording, document, or slide deck into a stunning video in minutes.\n\nNo design skills required.\n\n![uploaded image](/media/?type=post&id=95851&key=user_uploads/1159730/9a6519b7-57f7-498c-ba0d-ab1ea1a07e1d)\n\nClueso can **write** your video’s script, add a studio-quality **voiceover**, and auto-generate visual **effects**, transitions, branding, and captions – all while giving you full editing control.\n\nIt can even **translate** your videos into 50+ languages with one click.\n\nWith this launch, we’re also introducing a suite of AI-first tools to **automate** the most time-consuming parts of the video editing process.\n\nWith a single prompt, Clueso can now:\n\n* **break down long recordings** like sales calls, webinars, or internal training calls, into bite-sized, polished videos\n* **generate** entire videos from documents and slide decks\n* **blur out** sensitive customer data from your screen recordings\n* create videos that match your brand or any design from our growing **template** library\n* generate **step-by-step docs** & SOPs from any screen recording\n\nMultiple teams at 1,000+ startups and enterprises already use Clueso for a variety of use cases.\n\nSign up today for free at [clueso.io](http://clueso.io)!", "url": "https://www.ycombinator.com/launches/Ovz-clueso-product-videos-in-minutes-with-ai", "votes": 176, "created_at": "2025-12-01T08:07:54.511Z" }, { "id": 76665, "title": "Clueso: AI-powered product videos and documentation in minutes", "tagline": "Screen recording -> how-to articles crafted by AI and studio-quality videos with AI voiceovers ", "body": "### **TL;DR:**\n\n> Clueso helps teams create stunning product documentation in a fraction of the time.  Our tool converts simple screen recordings into comprehensive articles and kickass product videos. \n>\n> Clueso articles are crafted by AI and come with beautiful GIFs. \n>\n> To generate videos, Clueso lets you edit your script and swap your audio-track with a professional, natural-sounding AI voiceover. Videos also come with zoom- in effects, thumbnails, and custom branding – everything you need for a great video without any of the effort.\n\nHi everyone! We are Akash, Prajwal, and Neel, the team behind [Clueso](https://clueso.io/).\n\n## **🔴 The Problem**\n\nHigh quality educational content on products and processes isn’t a nice-to-have: it's a necessity. From knowledge base articles and feature launch videos to internal SOPs and employee training material, there's a constant need for videos and articles in any organization. \n\nBut creating this content is time-consuming and expensive:\n\n* Loom videos require several retakes to get the perfect output and, even so, don’t look professional or engaging enough.\n* If you’ve ever created documentation  for your product, you know how painful it is to capture screenshots and find the right words.\n\nAnd when a guide goes out-of-date, you need to put the same effort all over again!\n\n## **🟢 The Solution**\n\nClueso streamlines your entire workflow to create  product videos and documentation.\n\n**Creating User Guides**\n\nSimply capture a screen recording while talking through any feature or flow on your product. Clueso instantly gives you:\n\n* **Step-by-step articles:** Clueso snaps GIFs/screenshots, and AI drafts your guide automatically. No matter who captures the process, get a uniform tone across all articles. \\[[Check out a Clueso-generated article](https://www.clueso.io/features/help-articles)\\]\n\n ![uploaded image](/media/?type=post&id=76665&key=user_uploads/1156693/1bc55859-9389-4b24-a054-db1efba881ed)\n\n* **Engaging studio-quality videos:** Update transcripts on-the-fly, and regenerate your video instantly with natural-sounding AI voices. Incorporate zooming-in effects and branded intro, outro, and background elements at a single click. \\[[Watch a Clueso-generated video](https://www.clueso.io/features/video-tutorials)\\]\n\n ![uploaded image](/media/?type=post&id=76665&key=user_uploads/1156693/67d98602-2210-4f26-a668-13abd2ecd5cf)\n\n\n**Updating Content**\n\nWhen your product or process changes, simply re-record the updated flow and Clueso magically updates all related documentation. Don’t worry about swapping screenshots or explaining the same terms again. \n\n**Use Content Anywhere**\n\nContent created using Clueso can be exported anywhere or hosted on a Clueso powered help center or team workspaces.\n\n## **Our customers use us for creating…**\n\n1. how-to guides and videos for knowledge base\n2. SOPs for internal team training \n3. onboarding videos\n4. feature launch videos for landing pages and social media\n5. and sharing guides for ad-hoc customer queries\n\nBasically, anywhere you need videos or articles: Clueso has got your back.\n\n## **Our quick asks**\n\n* [Book a demo](https://calendly.com/clueso_intro/neel) with us if you want to learn more about Clueso and use it for creating product documentation, videos or a help center.\n* Refer us to anyone you know who’s on the lookout for a solution to improve their customer education or internal team training. Our inbox is always open [founders@clueso.io.](mailto:founders@clueso.io)\n* Follow us on [LinkedIn](https://www.linkedin.com/company/clueso) or [Twitter](https://twitter.com/_Clueso) for new product updates and customer education best practices.", "url": "https://www.ycombinator.com/launches/JwX-clueso-ai-powered-product-videos-and-documentation-in-minutes", "votes": 203, "created_at": "2023-12-05T06:46:46.430Z" }, { "id": 70052, "title": "🚀 Clueso : Create in-app tours that never go out-of-date", "tagline": "One screen recording → Help guides in three formats!", "body": "Hey there! We’re [Prajwal](https://www.linkedin.com/in/prajwalprakash2000), [Neel](https://www.linkedin.com/in/neelbalar7/), and [Akash](https://www.linkedin.com/in/theakashanand), and we are very excited to launch [Clueso](https://clueso.io) to all of you!\n\n**TL;DR:** Clueso helps customer success teams save time creating and maintaining help content for SaaS apps. Our product converts simple screen recordings of product features into interactive product tours and how-to guides that stay up-to-date with every product release. \n\n![uploaded image](/media/?type=post&id=70052&key=user_uploads/1159730/adc0642c-6d2c-44cd-b4e3-7e18691a78fe)\n\n### [**🔴**](https://emojipedia.org/large-red-circle/) **The Problem**\n\nUsers of SaaS apps have a hard time discovering new features and finding what they’re looking for, even on products with a well-designed UX.\n\nCreating help guides on tools like Intercom is time-consuming – you have to put together screenshots, write out instructions, and make everything look presentable. Making interactive tours is even more work.\n\nAnd what happens when you deploy new UI updates? All your hard work goes down the drain, and you have to start from scratch.\n\n### [**🟢**](https://emojipedia.org/large-green-circle/) **Our Solution**\n\nClueso lets you create help guides for product features in seconds rather than hours. Here’s how it works:\n\n**Step 1:** \n\nUse our chrome extension to capture a simple screen recording of some feature on your app. \n\n**Step 2:**\n\nThat’s it; you’re done! \n\nClueso automatically generates help guides in three formats: a document with screenshots, a video, and an interactive tour that points users to the exact buttons they need to click on your app.\n\n**Wanna see it in action?** Check out this 2-min demo: [Clueso Demo](https://www.loom.com/share/964797a5cf6c4582b5ffb5ccca662abf)\n\nTo serve all these guides to your users, **insert a single line of code** to add our help widget to your app. Your users’ experience looks something like this:\n\n![uploaded image](/media/?type=post&id=70052&key=user_uploads/1159730/182a84cf-6ce7-4f5b-aa2f-695a47b208a8)\n\n### 🤯 **But wait, there’s more!**\n\nNo more waiting for angry customers to come tell you your docs are out of date!\n\nWith every new update on your app, all guides are automatically tested. Outdated guides are flagged so that you know exactly which ones need to be reworked.\n\n### **Meet the team**\n\n![uploaded image](/media/?type=post&id=70052&key=user_uploads/1159730/f606bc26-46b2-4218-af78-465829b49618)\n\nWe’re a team of recent grads from IIT Madras. Before Clueso, our team built and scaled [Desklamp](https://desklamp.io) – a note-taking tool for students and researchers – to 2k MAU from around the world. We experienced this problem first-hand with Desklamp, where our users would repeatedly email us similar questions about how to use the product. Prajwal (middle) has a bachelor’s in Computer Science, while Neel (left) and Akash (right) have a bachelor’s in Engineering Design and a master’s in Data Science. \n\n### **Our Ask**\n\n* If you’d like to give your users an interactive way to learn your app or discover new features, reach out to us at [founders@clueso.io](mailto:founders@clueso.io) or schedule a chat with us here: [calendly link](https://calendly.com/clueso/30min?month=2023-03).\n* If you know of someone else who may be interested, especially customer success managers at seed-stage+ start-ups, we’d love an intro!", "url": "https://www.ycombinator.com/launches/IDs-clueso-create-in-app-tours-that-never-go-out-of-date", "votes": 191, "created_at": "2023-03-08T18:48:43.909Z" } ] }, { "id": 28178, "name": "Vector", "slug": "vector", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/cbf1d46970daada2c04ef49b49592227799f0224.png", "website": "https://vector.co", "all_locations": "Boston, MA, USA", "long_description": "B2B advertising is broken: poor targeting, wasted ad spend, bot traffic, and 3rd party-cookies. Vector helps marketers drive pipeline with contact-level targeting and revealing who's seeing your ads (even if they never convert).", "one_liner": "Advertising for the new internet", "team_size": 20, "industry": "B2B", "subindustry": "B2B -> Marketing", "launched_at": 1675694302, "tags": [ "Generative AI", "SaaS", "B2B", "Marketing", "Enterprise" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Winter 2023", "status": "Active", "industries": [ "B2B", "Marketing" ], "regions": [ "United States of America", "America / Canada", "Remote", "Partly Remote" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/vector", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2023/vector.json", "year_founded": 2022, "city": "Boston", "country": "US", "linkedin_url": "https://www.linkedin.com/company/getvector", "x_url": "https://twitter.com/GetVector_ai", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/cbf1d46970daada2c04ef49b49592227799f0224.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Brad Flora", "url": "https://www.ycombinator.com/people/brad-flora" }, "founders": [ { "user_id": 187296, "full_name": "Joshua Perk", "title": "Founder", "founder_bio": "Hi 👋🏼 I'm Josh. Building, Vector to help founders find, prioritize, and track the accounts they're most likely to turn into their customers!\n\nPreviously:\n- Built the SC team @ Drift from Series B - Vista acquisition 🦄\n- Exited GrowthStack - A hybrid RevOps agency + SaaS company 🎉\n- Exited GoCable - A rapid prototyping SaaS for subsea cables 🐙\n- Served as an intel analyst in the USAF ✈️", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/joshuaperk/", "x_url": "https://twitter.com/Joshua_Perk", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/01ae9001b4bf60327a6d483ff6069964ce123d9c.jpg" }, { "user_id": 1125363, "full_name": "Nick Masters", "title": "Founder", "founder_bio": "Co-founder and COO of Vector, on a mission to revolutionize how marketing builds a contact based strategy. A US Air Force Veteran and former Instructor Pilot with over 15 years of leadership experience building and training sales teams. Previous to Vector, Co-founder and CEO Josh Perk and I served as executives in charge of Sales Engineering at Drift helping drive a $1.3B acquisition. ", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/nicholasamasters/", "x_url": "https://twitter.com/NickMasters83", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/54ad36463118c95a139ab093af42e779262427d4.jpg" } ], "jobs": [ { "id": 99641, "title": "Account Executive", "url": "https://www.ycombinator.com/companies/vector/jobs/36g8Zd4-account-executive", "location": "Boston, MA, US / Remote (US)", "type": "Full-time", "role": "Sales", "role_type": null, "salary_range": "$180K - $215K", "equity_range": "0.02% - 0.10%", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 115244, "title": "Senior Data Engineer", "url": "https://www.ycombinator.com/companies/vector/jobs/MZ9Oh9B-senior-data-engineer", "location": "Boston, MA", "type": "Full-time", "role": "Engineering", "role_type": "Backend", "salary_range": "$180K - $230K", "equity_range": "0.08% - 0.15%", "experience": "6+ years", "visa": "US citizen/visa only", "skills": [ "Node.js", "Python", "TypeScript", "SQL", "Vue.js", "dbt" ] } ], "news": [], "launches": [ { "id": 77906, "title": "Vector: Turn your company's network into pipeline", "tagline": "Vector alerts sales teams when their executives, investors, and customers can intro them to their target accounts.", "body": "# **Problem: 74% of sales reps miss quota**\n\n👆This is why Pipeline Generation is today’s biggest problem CROs are facing!  \n\nB2B selling is hard. Buyers are inundated with noise. Modern “solutions” only automate the problem:\n\n* 2% cold call success = automated power dialers 🤮\n* 1% cold email success = mass sales engagement sequencers 👎🏼\n* Costly SDR team = AI prospecting + “virtual SDRs” that “personalize” at scale 🙅‍♂️\n\nPersonalization does not matter if no one opens your email or answers your call. There’s a monumental shift in the industry of B2B prospecting - and CROs are searching for a new playbook.\n\n# **Vector: Less Volume, More Quality**\n\nWe believe in an AI-enabled world where authentic relationships rule all.\n\nVector is the world’s only Relationship Intelligence platform — using AI to analyze 400M+ signals in real-time to identify meaningful relationships across your company’s entire network to win, retain, and expand deals.\n\n![](https://lh7-us.googleusercontent.com/V8oj_wAPmeAT7ayqDcRBSOPMM66QEMPMd0Tlwd-kgcEBr9ijOnSmtE-OOxC-4TOZQno7GE118BQwF2qJsA-Z1Mv8F-Pa7KY6Ver8YvvT4n6PnP_5I8Q1P5ahY4k7EziCs79zTJVDcEwddDbLvquKWok)\n\n# **The Shared Experience Graph™**\n\nAt Vector’s core is the Shared Experience Graph™ — a powerful data engine analyzing hundreds of signals _per relationship_ and a proprietary AI model purpose-built to find the most authentic relationships for your sales team.\n\nStop relying on manual spreadsheets, meaningless mutual LinkedIn connections, or expensive, glorified champion tracking tools that only tap a fraction of your network.\n\n![](https://lh7-us.googleusercontent.com/_WqZpni8euVAwRbQBinwgZW9xlhK3WKp3HX1mj8cppFi5ii6F_zgsONXutIpuwxqNgVbMzAe1s-F5SGaHh3aDvkKEhdMaCltw5a3Wki53OxLPpMn0-pALETUoDn1QqgZqEYqvenY8VySx8zrQ17qmOE)\n\nLet’s talk, because **84% of your B2B decision-makers start their buying process with a referral**, but finding the right trusted person to open the door for your team is extremely hard.\n\nFollow us, [Joshua](https://www.linkedin.com/in/joshuaperk/) and [Nick](https://www.linkedin.com/in/nicholasamasters/). We lived with this problem for years as GTM executives, and now we’re fixing it at [Vector.](https://vector.co/?utm_source=YC&utm_medium=Launch&utm_campaign=2024&utm_id=YC+Launch%2C+2024)", "url": "https://www.ycombinator.com/launches/KGY-vector-turn-your-company-s-network-into-pipeline", "votes": 90, "created_at": "2024-01-29T00:12:47.168Z" } ] }, { "id": 28218, "name": "Kyber", "slug": "kyber", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/3004c4a72b716a80763763b95bf3e212c448756e.png", "website": "https://askkyber.com", "all_locations": "New York City, NY, USA", "long_description": "With Kyber, companies operating in regulated industries can quickly draft, review, and send complex regulatory notices. For example, when Branch Insurance's claims team has to settle a claim, instead of spending hours piecing together evidence to draft a complex notice, they can simply upload the details of the claim to Kyber, auto-generate multiple best in-class drafts, easily assign reviewers, collaborate on notices in real-time, and then send the letter to the individual the notice is for. Kyber not only saves these teams time, but significantly improves consistency, compliance, and personalization. ", "one_liner": "Instantly draft, review, and send complex regulatory notices.", "team_size": 5, "industry": "B2B", "subindustry": "B2B -> Operations", "launched_at": 1677372539, "tags": [ "Generative AI", "SaaS", "Insurance", "Enterprise", "Regtech" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Winter 2023", "status": "Active", "industries": [ "B2B", "Operations" ], "regions": [ "United States of America", "America / Canada", "Remote", "Partly Remote" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/kyber", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2023/kyber.json", "year_founded": 2022, "city": "New York City", "country": "US", "linkedin_url": "https://www.linkedin.com/company/ask-kyber/", "x_url": "https://twitter.com/AskKyber", "fb_url": null, "cb_url": "https://www.crunchbase.com/organization/kyber", "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/3004c4a72b716a80763763b95bf3e212c448756e.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/188ff6c81544db46c701a9e6adfa9be701ef4791.png" ], "primary_partner": { "name": "Jared Friedman", "url": "https://www.ycombinator.com/people/jared-friedman" }, "founders": [ { "user_id": 271067, "full_name": "Arvind Sontha", "title": "Founder", "founder_bio": "Arvind Sontha is Founder & CEO of Kyber. He is a repeat founder with an entrepreneurial spirit that started in his childhood, when he started a local pet care business. Since then, his entrepreneurial endeavors have taken him across numerous industries, building in EdTech, Dating, Insurtech, and AI. During this time, Arvind also signed full-time with Google at 19, founded Subtle Curry Dating (~250k members on Facebook), and became a licensed insurance agent.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/arvind-sontha/", "x_url": "https://twitter.com/ArvindSontha", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/6db185fb8a67fa875d1775d6725f3f8cc2776327.jpg" } ], "jobs": [ { "id": 110021, "title": "Forward Deployed Engineer", "url": "https://www.ycombinator.com/companies/kyber/jobs/eturrAR-forward-deployed-engineer", "location": "New York, NY, US", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$110K - $150K", "equity_range": "0.05% - 0.15%", "experience": "1+ years", "visa": "US citizen/visa only", "skills": [ "JavaScript", "Python", "SQL" ] } ], "news": [], "launches": [ { "id": 79877, "title": "Kyber LetterGen 📝 Compose and send complex claim notices", "tagline": "We help claims teams instantly draft, review, and send complex notices.", "body": "**_tldr;_** _We make it simple for claims teams to instantly draft, review, and send complex notices to insureds, claimants, and third parties (like attorneys). With GenAI draft generation, real-time collaborative editing, integrated review workflows, and omnichannel delivery, Kyber’s LetterGen is able to supercharge the process of creating claim denial, partial denial, and settlement notices for even the most complex claims._ **Book a demo on our [website](https://askkyber.com?utm_source=ycombinator&utm_medium=launch&utm_campaign=claims_launch_yc) to learn more!**\n\n**—**\n\n# **🧨 Problem: Regulated notices are tedious and high-risk.**\n\nFor claims teams, state departments of insurance typically have very clear guidelines around the specific types of notices an insurer is supposed to provide to the parties involved. These include notices like claim acknowledgment, status updates, proactive reservations of rights, and finally, either a claim denial, partial denial, or settlement letter detailing what finally is or isn’t covered.\n\nWhile that may seem straightforward, many organizations fail to meet these requirements as adjustors struggle to efficiently write notices up to the required quality bar. Numerous carriers we’ve talked to and currently work with have audited their claims organizations and found that their teams spend upwards of **30% of their working hours** just handling these notices.\n\nWhy? Many times, these notices end up in a court of law where an unhappy claimant will sue the insurer, arguing that the notice was ambiguous.\n\n# **🎉 Solution: One platform to consolidate, collaborate, and send notices.**\n\nKyber’s LetterGen helps companies streamline their notice creation process, removing tedious overhead and minimizing risk from claimants suing companies for acting in bad faith.\n\n![](https://www.ycombinator.com/media/?type=post&id=79877&key=user_uploads/271067/33ede188-d105-4957-a9e3-5f109a3b9320)\n\nOut of the box, Kyber’s LetterGen comes with:\n\n* Automatic policy language extraction 🔍\n* Personalized draft creation powered by GenAI 🤖\n* Integrated review workflow ⭐\n* Real-time collaborative editing and commenting 💬\n* Full history and version tracking support 🕗\n* Basic template creation and management 📄\n* Progress tracking across your notice funnel 📊\n* Pre-built integrations into claims systems and mailing systems ✉️\n\n### **Our ask 🙏**\n\n* Connect us with Operations or Claims leaders at TPAs, Carriers, MGAs, or Reinsurers ➡️ [sav@askkyber.com](https://mailto:sav@askkyber.com).\n* If you or your organization operate in a regulated industry (Healthcare, Loans, Banking, Utilities, etc.) and are required to generate similar notices for third parties, we’d love to learn more ➡️ [founders@askkyber.com](mailto:founders@askkyber.com)", "url": "https://www.ycombinator.com/launches/KmL-kyber-lettergen-compose-and-send-complex-claim-notices", "votes": 21, "created_at": "2024-04-02T15:41:18.646Z" }, { "id": 69780, "title": "Kyber - ChatGPT for enterprise support", "tagline": "Kyber embeds AI intelligence into enterprise support workflows to accelerate customer success teams.", "body": "# TL;DR Instead of digging across resources to find the right answer, Kyber provides highly specific and accurate answers right at your fingertips.\n\n### Who Is It For?\n\nAny company/enterprise that gets repeat questions about the same thing over and over again that they’ve already documented or answered.\n\n### How It Works\n\n⚡ Install our **Slack/Discord/Front/Intercom** Apps each in **two clicks**\n\n**⚙️** We’ll ingest your knowledge base (typically public documentation) and configure them into your preferred access channels\n\n**❓** Go to town asking Kyber for help on questions about your knowledge base\n\n🔍 Gain important insights into user questions and team questions, which you can then use to further refine your knowledge base\n\n🚀 Accelerate support, onboarding, and more at speed of AI\n\nDirect Response Flow:\n\n![uploaded image](https://bookface.ycombinator.com/media/?type=post&id=69780&key=user_uploads/271067/061a2882-761b-4b9d-83cf-edf2fc8ba501)\n\nHidden Response Flow:\n\n![uploaded image](/media/?type=post&id=69780&key=user_uploads/271067/98d2c6ea-889d-45a7-a4bc-33b6d11a4626)\n\n# Why We Built Kyber\n\n🤔 We started Kyber because we were frustrated with the tradeoffs that different resources and support channels provide today. At the end of the day, we realized that end users just want factually correct answers and they want them NOW.\n\nExisting resources each make tradeoffs between speed, relevance, and trust:\n\n* Documentation (Immediately available, but not easy to search or always up to date): \n * Speed ✅\n * Relevance ❌\n * Trust ✅\n* Community (Friendly, but not sure if answers are trustworthy):\n * Speed ✅\n * Relevance ✅\n * Trust ❌\n* Support Staff (Relevant and trustworthy answers, but usually very slow):\n * Speed ❌\n * Relevance ✅\n * Trust  ✅\n\nWe help bridge these gaps by either providing your users a direct interface for help or by enabling your CX teams to quickly search and generate answers using our flows.\n\n# How Can I Try It?\n\nEmail us at [founders@askkyber.com](mailto:founders@askkyber.com)\n\nWe’ll set up a custom demo where you’ll be able to try it out firsthand on top of your chosen knowledge base. Once you’re happy, we’ll give you and your team a white-glove onboarding experience.\n\nHave any additional flows, knowledge base sources, or integrations in mind? Let us know! We’re more than happy to support it and already have a few more exciting features planned for the future (stay tuned 😉).", "url": "https://www.ycombinator.com/launches/I9U-kyber-chatgpt-for-enterprise-support", "votes": 32, "created_at": "2023-02-28T20:08:07.488Z" } ] }, { "id": 28368, "name": "Second", "slug": "second", "former_names": [ "Whoa" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/23eb4fe2ce21be8fedf041808035faafb7a1643d.png", "website": "https://www.second.dev", "all_locations": "", "long_description": "AI-native enterprise codebase maintenance, including automated migrations and codebase intelligence for engineering teams who need to get stuff done.", "one_liner": "AI-Native Enterprise Codebase Maintenance", "team_size": 3, "industry": "B2B", "subindustry": "B2B", "launched_at": 1675964720, "tags": [ "Developer Tools", "Enterprise", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2023", "status": "Inactive", "industries": [ "B2B" ], "regions": [ "Unspecified" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/second", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2023/second.json", "year_founded": 2023, "city": null, "country": null, "linkedin_url": "https://www.linkedin.com/company/secondhq", "x_url": "https://x.com/SecondDevHQ", "fb_url": null, "cb_url": "https://www.crunchbase.com/organization/second-65ed", "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/23eb4fe2ce21be8fedf041808035faafb7a1643d.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Gustaf Alstromer", "url": "https://www.ycombinator.com/people/gustaf-alstromer" }, "founders": [ { "user_id": 602008, "full_name": "Eric Rowell", "title": "Founder", "founder_bio": "Co-founder & CTO of Wayline (YC S25). I was previously the founder & CEO of Second (YC W23) where I raised $1.9M to build enterprise codebase maintenance tools. Before that, I was the co-founder and CTO of Uiflow (YC W21) where I raised $21M, built a no-code platform for enterprises, and was acquired by Workday. Before that, I was the Head of Data Visualization at Workday, UI architect at LinkedIn and Yahoo, author of HTML5 Canvas Cookbook, and created several popular open source libraries.", "is_active": false, "linkedin_url": "https://www.linkedin.com/in/errowell/", "x_url": "https://twitter.com/ericdrowell", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/8711a8a78e4890dda14db45a462de5c5fa8d22f3.jpg" } ], "jobs": [], "news": [ { "title": "Second Has Raised $1.9M in Pre-seed Funding", "url": "https://www.second.dev/blog/second-has-raised-1-9m-in-pre-seed-funding-to-automate-codebase-maintenance-with-a-novel-approach-to-ai-agents", "date": "Jun 12, 2024" } ], "launches": [] }, { "id": 28415, "name": "moonrepo", "slug": "moonrepo", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/3de25b12e8aab670255b22d53c12d30ccd142ae5.png", "website": "https://moonrepo.dev", "all_locations": "Portland, OR, USA; Remote", "long_description": "moonrepo is a developer tool that reduces build/test/deploy times, and maintenance costs for companies. We’ve achieved this through moon, our open source build system and repository management tool. moon can be paired with moonbase, our paid service that provides cloud caching, CI insights, code ownership, and health score related metrics. The company is founded by Miles Johnson and James Pozdena who have a combined 25+ years in the software development industry with tenure at Airbnb and Coinbase.", "one_liner": "Open source build tool for monorepos and large codebases", "team_size": 2, "industry": "B2B", "subindustry": "B2B -> Productivity", "launched_at": 1675878806, "tags": [ "Developer Tools", "SaaS", "Productivity", "Open Source", "Enterprise" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2023", "status": "Inactive", "industries": [ "B2B", "Productivity" ], "regions": [ "United States of America", "America / Canada", "Remote", "Fully Remote" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": [ { "question": "Describe what your company does in 50 characters or less.\n", "answer": "We build solutions for common devx/tool problems." }, { "question": "What is your company going to make? Please describe your product and what it does or will do.\n", "answer": "We plan to make a suite of tools and services to solve common developer experience and company workflow problems. These are problems that all companies deal with at some point in time, and range from solutions like a configuration service, code ownership, repository management, deploy/merge locks, CI insights and metrics, deployboard, and much more.\r\n\r\nMany companies custom build in-house solutions to these problems, as there are non-viable or no alternatives. This diverts focus and resources away from their mission. We hope to provide solutions to these problems, so that companies can focus solely on their mission.\r\n\r\nThe first tool in this suite is moon, which is a language agnostic build system (built in Rust), with first class support for CI pipelines and the developer experience. In the future, this will be expanded to also support CD workflows. To expand upon moon, we are currently building a service called moonbase, which supports remote caching of build artifacts, and in the future will aggregate CI insights to generate dashboards, and provide a user interface for CD deployments.\r\n\r\nLooking to the future, we have plans for a large array of tools and services to build, as mentioned above. Our goal is to provide a holistic developer/infra platform." } ], "question_answers": null, "url": "https://www.ycombinator.com/companies/moonrepo", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2023/moonrepo.json", "year_founded": 2022, "city": "Portland", "country": "US", "linkedin_url": "https://www.linkedin.com/company/moonrepo/", "x_url": "https://twitter.com/tothemoonrepo", "fb_url": null, "cb_url": null, "github_url": "https://github.com/moonrepo", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/3de25b12e8aab670255b22d53c12d30ccd142ae5.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Nicolas Dessaigne", "url": "https://www.ycombinator.com/people/nicolas-dessaigne" }, "founders": [ { "user_id": 1247217, "full_name": "Miles Johnson", "title": "Founder", "founder_bio": "I'm very passionate about developer tooling and the developer experience.\n\nWith 15 years of industry experience under my belt working across the entire web stack, I enjoy testing my skills and knowledge against complex problems, but what I really love is supporting my fellow peers by building solutions to improve their developer experience and productivity.", "is_active": false, "linkedin_url": "https://www.linkedin.com/in/mileswjohnson/", "x_url": "https://twitter.com/mileswjohnson", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/ff6f4233d27a4f4ba11f5533aa2465e0273385ad.jpg" }, { "user_id": 1251045, "full_name": "James Pozdena", "title": "Founder", "founder_bio": "Technical co-founder from Portland, OR", "is_active": false, "linkedin_url": "https://www.linkedin.com/in/jpozdena", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/0c79a10657798606f022dca11f21324af6fa3421.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 69492, "title": "🌑 moonrepo - Simplifying codebase management and organization", "tagline": "From build to deploy, moonrepo is a better way to manage codebases, save developer time, and boost your business.", "body": "Hey YC!\n\nMiles and James here from [moonrepo](https://moonrepo.dev). Are you struggling with large codebases? Well, look no further! We built moonrepo to simplify repository management, project ownership, task running, and everyday developer and productivity workflows.\n\n### 🧑‍💻 Who is it for\n\nFor companies or individuals that maintain monorepos or large codebases (or any size really), and want to reduce build and CI times, and ensure their repository stays healthy.\n\n### 🚀 How we’re solving it\n\nAfter more than a decade in the industry, with many of those years working on infrastructure and developer tooling-related products, we weren’t happy with the status quo of tooling or ad-hoc solutions that companies are required to build. As such, we set out to build moon, a language-agnostic task runner that is smart enough to only run against affected code changes, and [moonbase](https://moonrepo.dev/moonbase), an upstream service for monitoring CI pipelines. We wanted our products to be enjoyable to use and easy to understand.\n\n![uploaded image](/media/?type=post&id=69492&key=user_uploads/1247217/8945b4a3-e49c-410b-ae5f-5c59794fbbea)\n\n### 🛰️ How it works\n\nAt a high level, we are putting an immense focus on the developer experience. For example, the configuration is in YAML, which everyone is familiar with, and is **_not_** a proprietary syntax. Tasks are defined and run as if you were running them in the terminal; there are no more abstractions. We automate common and everyday workflows. We manage a toolchain, ensuring the correct version of languages is used (no more “works on my machine”). And lastly, our foundation is built on Rust and Tokio, so performance is first-class, the runtime is reliable, and memory safety is guaranteed.\n\n![uploaded image](/media/?type=post&id=69492&key=user_uploads/1247217/c5d3c251-0768-493b-8bed-28c9fc60bc6a)\n\n### Try it today!\n\nOur moon task runner is free and open source, and will always be! Start adopting today and see the immediate benefits in your codebase. \n\nOur moonbase service is also available under our free tier (with reasonable limits). Join today in 1-click! \n\nIf you have any questions or would like a demo, feel free to join our Discord community and follow us on [Twitter](https://twitter.com/tothemoonrepo)!", "url": "https://www.ycombinator.com/launches/I4q-moonrepo-simplifying-codebase-management-and-organization", "votes": 21, "created_at": "2023-02-21T19:13:22.175Z" } ] }, { "id": 28743, "name": "Leafpress", "slug": "leafpress", "former_names": [ "Leafpress" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/8b397defdcecf4c281122216507cb5239f88b392.png", "website": "https://www.trycardinal.ai/", "all_locations": "", "long_description": "AI-Native Utility Management", "one_liner": "AI Energy Management", "team_size": 2, "industry": "B2B", "subindustry": "B2B", "launched_at": 1689209330, "tags": [ "Enterprise", "Enterprise Software", "Infrastructure" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2023", "status": "Inactive", "industries": [ "B2B" ], "regions": [ "Unspecified" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/leafpress", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2023/leafpress.json", "year_founded": 2025, "city": null, "country": null, "linkedin_url": "", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/8b397defdcecf4c281122216507cb5239f88b392.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/aca1516addb270f93f3487c24e60b659fd5bb217.png" ], "primary_partner": { "name": "Gustaf Alstromer", "url": "https://www.ycombinator.com/people/gustaf-alstromer" }, "founders": [ { "user_id": 1244892, "full_name": "Devi Jha", "title": "Founder", "founder_bio": "Devi dropped out from Harvard with(out) a degree in Computer Science. YC S23 with an energy software company, sold it to Johnson Controls (NYSE: JCI).", "is_active": false, "linkedin_url": "https://linkedin.com/in/devishijha", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/e5feb78146a61be2f7a5e8872004e378e7be83d8.jpg" }, { "user_id": 663394, "full_name": "Jianna Liu", "title": "Founder", "founder_bio": "Jianna graduated from MIT with a degree in computer science. She has worked on the software teams at Meta, DoorDash, Nvidia. Previously YC S23, energy software company. Acquired by Johnson Controls (NYSE: JCI)", "is_active": false, "linkedin_url": "https://linkedin.com/in/jianna-liu-90747413b", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/27d211f97bb944135f4095da5b25aeeba4d23af2.jpg" } ], "jobs": [], "news": [], "launches": [] }, { "id": 28844, "name": "Alguna", "slug": "alguna", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/2e2a3ced5969028060bbaaf152193b5b6a2b3982.png", "website": "https://alguna.com", "all_locations": "London, England, United Kingdom; Remote", "long_description": "We are Alguna, building a modern platform that helps B2B companies price deals, send quotes, bill customers, and collect payments - all in one place.\r\n\r\nOur mission is to create the most efficient revenue engine for B2B SaaS.\r\n\r\nToday, many companies run these processes with spreadsheets and a patchwork of separate tools. That leads to slow approvals, manual work, mistakes, and missed revenue—especially as pricing gets more complex.\r\n\r\nAlguna replaces that mess by connecting the entire flow from **quote to cash**: what sales sells becomes what finance bills, automatically. We help teams automate invoicing, handle usage-based or custom pricing, and reduce back-and-forth between sales, finance, and engineering.\r\n\r\nThe result: growth-stage startups and enterprises can close deals faster, bill accurately, and scale revenue operations without adding headcount or building internal systems.\r\n", "one_liner": "AI-Native CPQ & Billing for Modern Pricing Models", "team_size": 10, "industry": "B2B", "subindustry": "B2B -> Finance and Accounting", "launched_at": 1691026781, "tags": [ "Fintech", "SaaS", "B2B", "Enterprise", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Summer 2023", "status": "Active", "industries": [ "B2B", "Finance and Accounting" ], "regions": [ "United Kingdom", "Europe", "Remote", "Fully Remote" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": true, "app_answers": null, "question_answers": [ { "question": "What is the core problem you are solving? Why is this a big problem? What made you decide to work on it?", "answer": "**What is the core problem that Alguna solves?**\r\n\r\nB2B companies struggle to turn what sales sells into what finance can reliably bill and collect.\r\n\r\nPricing, quoting, contracts, usage, invoicing, and payments often live in different tools—and the “glue” is spreadsheets, manual approvals, and one-off engineering work. As soon as a company introduces custom terms (discounts, ramps, multi-year deals, usage-based pricing, credits, multi-entity billing), the process breaks down: quotes don’t match invoices, billing becomes manual, and finance is stuck cleaning up exceptions every month.\r\n\r\nAlguna solves this by providing a single platform that unifies **pricing, CPQ, billing, invoicing, payments, usage metering, and collections automation** into one **quote-to-revenue** system.\r\n\r\n**Why is this a big problem?**\r\n\r\nBecause revenue operations scale poorly when the infrastructure is fragmented.\r\n\r\nThe impact is measurable:\r\n\r\n\\- **Revenue leakage:** missed invoices, incorrect pricing, unbilled usage, and manual errors compound over time.\r\n\r\n\\- **Slower deal cycles:** approvals and “can we even bill this?” questions delay closing.\r\n\r\n\\- **High operational cost:** finance and revops teams spend their time reconciling systems instead of controlling revenue.\r\n\r\n\\- **Engineering dependency:** product teams get pulled into custom billing logic, integrations, and edge cases.\r\n\r\n\\- **Harder forecasting and reporting:** when the source of truth is scattered, finance cannot trust the numbers.\r\n\r\nAs more companies adopt **usage-based**, **hybrid**, and **AI-driven** pricing models, the gap between modern monetization and legacy revenue stacks keeps widening.\r\n\r\n**What made you decide to work on it?**\r\n\r\nWe saw the same pattern across fast-growing B2B teams: the product and go-to-market motion moves quickly, but the revenue stack stays stuck in old systems built for simpler subscriptions.\r\n\r\nTeams end up running “mission-critical revenue” on spreadsheets and disconnected tools—because replacing them is painful, and building in-house is expensive and distracting. Yet the cost of doing nothing is continuous: every custom deal creates more manual work, more risk, and more leakage.\r\n\r\nAlguna exists to modernize that foundation. We’re building the revenue management engine B2B companies need to sell flexibly, bill accurately, and scale without chaos—by unifying the quote-to-revenue lifecycle and automating the back office." }, { "question": "What is your long-term vision? If you truly succeed, what will be different about the world?", "answer": "We will know Alguna succeeded when **B2B monetization stops being a patchwork of spreadsheets, PDFs, and disconnected tools**—and becomes a single, programmable revenue engine that companies can run with speed, precision, and confidence.\r\n\r\nThe world today is stuck with legacy revenue stacks that were built for simpler subscription businesses. Meanwhile, selling is changing fast: companies sell across **PLG (self-serve), SLG (custom quotes), and enterprise procurement**, pricing models are shifting toward **usage, hybrid, credits, and outcome-based**, and deep integrations + two-way sync across systems are becoming table stakes. In that environment, “good enough” billing and CPQ breaks down.\r\n\r\nAlguna’s vision is to become the **one source of truth for revenue**—the system that orchestrates pricing, quoting, contracting, usage, billing, invoicing, payments, and collections end-to-end.\\\r\n\\\r\nWhat will be different about the world\r\n\r\n**1) Revenue operations becomes “real-time” and automated**\r\n\r\n* Quotes turn into clean billing schedules automatically.\r\n* Usage becomes billable without manual reconciliation.\r\n* Invoices and collections run with far fewer human interventions.\r\n* Finance teams stop doing back-office cleanup as a permanent job.\r\n\r\n**2) Pricing evolves as quickly as the market**\r\n\r\n* Teams can run pricing experiments safely across channels.\r\n* Guardrails and approvals are built-in, not enforced by spreadsheets.\r\n* Companies avoid pricing drift, one-off logic, and costly exceptions.\r\n\r\n**3) Selling becomes faster, with less internal friction**\r\n\r\n* Sales can confidently sell complex deals without engineering dependency.\r\n* Deal desks can scale without becoming a bottleneck.\r\n* Enterprise flexibility is supported without creating operational chaos.\r\n\r\n**4) Businesses scale with smaller teams and higher reliability**\r\n\r\n* A 10-person team can grow rapidly without inheriting a brittle revenue stack.\r\n* Forecasting becomes more trustworthy because the underlying system is consistent.\r\n* Revenue leakage becomes the exception, not the norm." } ], "url": "https://www.ycombinator.com/companies/alguna", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2023/alguna.json", "year_founded": 2023, "city": "London", "country": "GB", "linkedin_url": "https://www.linkedin.com/company/algunahq/", "x_url": "https://twitter.com/AlgunaHQ", "fb_url": null, "cb_url": "https://www.crunchbase.com/organization/alguna", "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/2e2a3ced5969028060bbaaf152193b5b6a2b3982.png", "app_video_url": null, "dday_video_url": "https://bookface-images.s3.us-west-2.amazonaws.com/video_event/62/1694195946018-qz3wkvl5t4-8d89e3293da5a4ef13c2c5e6b0b45914/4631d1271da0148a6826e54bf7e3dfea.mp4?X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Credential=AKIAQC4NIECABPQ2AHNW%2F20261020%2Fus-west-2%2Fs3%2Faws4_request&X-Amz-Date=20261020T022713Z&X-Amz-Expires=3600&X-Amz-SignedHeaders=host&X-Amz-Signature=7a76a7cb370f71bac2472008842548d055627307cb53e1ada01868ae81bca652", "company_photos": [], "primary_partner": { "name": "Aaron Epstein", "url": "https://www.ycombinator.com/people/aaron-epstein" }, "founders": [ { "user_id": 1225753, "full_name": "Aleks Đekić", "title": "Founder", "founder_bio": "Co-Founder and CEO of Alguna (S23) – Spent most of his career building payment products and apps in Fintech. At Dojo (Square for the UK), built a custom revenue management platform for 600 people in GTM org. Most recently, at Primer.io, a global payment orchestration fintech, scaled payments and commerce ecosystems to 100+ connections.", "is_active": true, "linkedin_url": "https://linkedin.com/in/aleksdjekic", "x_url": "https://twitter.com/aleks_djekic", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/9d661323027ef45a31678c9386effdc2480fbe0c.jpg" }, { "user_id": 1358800, "full_name": "Jamie MacLeod", "title": "Founder", "founder_bio": "Co-founder and CTO of Alguna. Passionate about driving efficiency through software and building effective engineering teams. Previously a founding engineer at Primer, a payment orchestration fintech, scaling the engineering org from 30 to 100 and leading a group of ~20 engineers.", "is_active": true, "linkedin_url": "https://linkedin.com/in/jamie-macleod", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/84d388cd4ccb0bdf436c2c732a88b8d5831e6074.jpg" } ], "jobs": [ { "id": 88762, "title": "Forward Deployed Engineer (FDE)", "url": "https://www.ycombinator.com/companies/alguna/jobs/9JBITuK-forward-deployed-engineer-fde", "location": "GB / IE / CA / US / Remote (GB; IE; CA; US)", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$80K - $125K", "equity_range": "", "experience": "3+ years", "visa": "US citizenship/visa not required", "skills": [] }, { "id": 88765, "title": "Account Executive – Enterprise", "url": "https://www.ycombinator.com/companies/alguna/jobs/3YZc7AG-account-executive-enterprise", "location": "New York, NY, US / Remote (US; CA)", "type": "Full-time", "role": "Sales", "role_type": null, "salary_range": "$90K - $150K", "equity_range": "", "experience": "6+ years", "visa": "US citizenship/visa not required", "skills": [] }, { "id": 88766, "title": "Sales Development Representative (SDR)", "url": "https://www.ycombinator.com/companies/alguna/jobs/P4UawoN-sales-development-representative-sdr", "location": "GB / Remote (GB)", "type": "Full-time", "role": "Sales", "role_type": null, "salary_range": "$45K - $65K", "equity_range": "", "experience": "1+ years", "visa": "US citizenship/visa not required", "skills": [] }, { "id": 99742, "title": "Customer Success Manager - EMEA", "url": "https://www.ycombinator.com/companies/alguna/jobs/favvk7b-customer-success-manager-emea", "location": "GB / IE / DE / Remote (GB; IE; DE)", "type": "Full-time", "role": "Product", "role_type": null, "salary_range": "$60K - $115K", "equity_range": "", "experience": "3+ years", "visa": "US citizenship/visa not required", "skills": [] }, { "id": 99764, "title": "Customer Success Manager - North America", "url": "https://www.ycombinator.com/companies/alguna/jobs/xEKypni-customer-success-manager-north-america", "location": "New York, NY, US / Remote (US; CA)", "type": "Full-time", "role": "Product", "role_type": null, "salary_range": "$75K - $120K", "equity_range": "", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [] } ], "news": [ { "title": "Exclusive: Alguna exits stealth with $4m seed round", "url": "https://www.fintechfutures.com/venture-capital-funding/exclusive-yc-backed-alguna-emerges-from-stealth-with-4m-seed-round", "date": "Sep 25, 2025" } ], "launches": [ { "id": 76099, "title": "Alguna – Modern pricing, quoting & billing platform", "tagline": "We help companies increase revenue and close more deals, faster. ", "body": "# **📝 TL;DR:**\n\n> [Alguna](https://alguna.io) is a modern pricing, quoting, and billing platform for B2B SaaS. Companies use it to unify the quote-to-revenue process by automating complex and manual back-office operations. [Book a demo](https://alguna.io) to learn more.\n\n# **❌ Problem**\n\nAs companies grow, they want to offer more customized deals to their larger customers, capture data around product usage, forecast revenue, and experiment with pricing. As they scale, instead of graduating to better tools, they default to using spreadsheets and manual processes to connect single-point solutions.\n\nAfter interviewing over 100 company leaders, we’ve seen what consequences information siloes and fragmented solutions can have on the companies’ growth trajectories. \\\nFrom light issues like hiring people to copy/paste data between systems to fundamental ones like not trusting your revenue data or asking your customers to tell you how much they used your product.\n\n> _In times of growth at all costs, companies could’ve turned a blind eye to these imperfect workflows; however, as 2023 loomed over the whole SaaS world, these revenue-impacting inefficiencies represent the line between company survival and the slow death of running out of money without even realizing it._\n\n# ✅ **How Alguna works**\n\nOur core premise is to enable our customers (growth-stage startups and enterprises) to flexibly close more deals faster without worrying about internal limitations and relying on finance and engineering teams.\n\n![uploaded image](/media/?type=post&id=76099&key=user_uploads/1225753/9b1a2f85-6a49-4420-8839-23d7193526fa)\n\n> We’ve built **an end-to-end solution** covering the whole customer lifecycle while **complementing** existing **sales** (CRMs), **finance** (ERPs/Accounting), and **engineering** tools.\n\n**Configure pricing & create custom quotes**\n\n* Set up pricing and packaging across all sales channels while supporting any pricing model (including subscriptions, usage-based, platform fees, etc.)\n* Create the most customizable plan options with custom product billing options, one-off integration fees, special discounts, and complex renewal terms.\n\n![uploaded image](/media/?type=post&id=76099&key=user_uploads/1225753/d5c62cfa-bb64-45bd-b544-4ff878cbc363)\n\n**Streamline the contract signature flow**\\\nAlguna provides an embedded signature experience directly from the proposal you send customers. This is then automatically connected to tools upstream (CRMs) and downstream (ERPs), enabling the cohesive external (prospects/customers) and internal experience.\n\n![uploaded image](/media/?type=post&id=76099&key=user_uploads/1225753/f722da69-f9ef-4655-be51-676d57731dbb)\n\n**Seamless and reliable invoicing experience**\\\nSince the pricing models and quotes are natively integrated, everything is automatically connected with the billing engine, enabling the accurate and reliable customer billing experience directly via Alguna or ERP tools of your choice (Stripe Invoicing, Netsuite, Xero, Quickbooks, Bill)\n\n![uploaded image](/media/?type=post&id=76099&key=user_uploads/1225753/8802ecb0-928d-4ff8-9bf2-d6593fae75a3)\n\n**Source of truth for revenue metrics** \\\nEmpower sales and customer success teams with usage data to drive more revenue and unlock new upsell opportunities with real-time revenue data.\n\n![uploaded image](/media/?type=post&id=76099&key=user_uploads/1225753/f34387fc-134a-471f-bba3-0d38d1e992f8)\n\n# **🏟️ Why us**\n\nWe ([@Jamie MacLeod](https://www.linkedin.com/in/jamie-macleod/) & [@Aleks Đekić](https://www.linkedin.com/in/aleksdjekic/)) met at a fintech startup where we helped scale the payments and automation teams and products. While trying to launch new products, we experienced this problem firsthand and decided to solve it once and for all. Previously, [@Aleks](https://www.linkedin.com/in/aleksdjekic/) led the product development of internal tools _just like_ Alguna for a 600-person commercial team at one of Europe's fastest-growing payment processing companies.\n\n# **🚀 What’s next?**\n\n> **_We’re on a mission to build the most efficient revenue management engine covering the whole customer lifecycle._**\n\n* [Book a demo](https://alguna.io) if you want to learn more about Alguna.\n * Refer us to anyone you know who could benefit from our solution via [founders@alguna.io](mailto:founders@alguna.io)\n * If you’d like to share insights and feedback, our inbox is always open.\n* Follow us on [Twitter](https://twitter.com/AlgunaHQ) or [LinkedIn](https://www.linkedin.com/company/algunahq) for new product updates and revenue management best practices.", "url": "https://www.ycombinator.com/launches/JnP-alguna-modern-pricing-quoting-billing-platform", "votes": 120, "created_at": "2023-11-09T10:18:48.254Z" } ] }, { "id": 28923, "name": "Maven Bio", "slug": "maven-bio", "former_names": [ "RightPage" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/4d8ec5197bc9e6a36464adaa019fa08dc09b5662.png", "website": "https://mavenbio.com", "all_locations": "Boston, MA, USA", "long_description": "Maven Bio is a live intelligence platform for biopharma teams. It continuously monitors clinical, regulatory, company, and deal developments, identifies what matters to each team's priorities, and delivers signals and updates to keep key documents current. Its monitoring agent can apply edits automatically, with sources attached and the option to roll back changes.\r\n\r\nMaven runs thousands of monitors across company and individual product websites, trade press, health technology assessment bodies, and patient advocacy groups worldwide. Teams use that intelligence to maintain competitive views, asset screens, and recurring briefs, in Maven or through connected AI assistants and custom workflows.", "one_liner": "Live intelligence for biopharma teams.", "team_size": 10, "industry": "B2B", "subindustry": "B2B", "launched_at": 1689099430, "tags": [ "Generative AI", "Biotech", "Healthcare", "Enterprise", "Healthcare IT" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Summer 2023", "status": "Active", "industries": [ "B2B" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/maven-bio", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2023/maven-bio.json", "year_founded": 2023, "city": "Boston", "country": "US", "linkedin_url": "https://www.linkedin.com/company/mavenbio", "x_url": "", "fb_url": null, "cb_url": null, "github_url": "https://github.com/mavenbio", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/4d8ec5197bc9e6a36464adaa019fa08dc09b5662.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Garry Tan", "url": "https://www.ycombinator.com/people/garry-tan" }, "founders": [ { "user_id": 1368769, "full_name": "Michael Brady", "title": "Founder", "founder_bio": "Helping BioPharma teams evaluate therapeutic opportunities. Passionate about building AI-native software. Boston native.", "is_active": true, "linkedin_url": "https:https://www.linkedin.com/in/mbrady4/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/d5fa97b7eafa0156135d65a61f61b408e504a4f6.jpg" }, { "user_id": 1372801, "full_name": "Arjun Murthy", "title": "Founder", "founder_bio": "Proactive Biopharma intelligence. Passionate about helping teams in life sciences navigate complexity with the right information at the right time. ", "is_active": true, "linkedin_url": "https://linkedin.com/in/arjunmurthy1", "x_url": "https://twitter.com/AMurthy100", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/7eb880c254c43c6a73e4a8c6e9a79d4c41fc4ba2.jpg" } ], "jobs": [ { "id": 76816, "title": "Software Engineer, Full Stack", "url": "https://www.ycombinator.com/companies/maven-bio/jobs/mQMCD78-software-engineer-full-stack", "location": "Boston, MA, US", "type": "Full-time", "role": "Engineering", "role_type": "Backend", "salary_range": "", "equity_range": "", "experience": "3+ years", "visa": "Will sponsor", "skills": [ "Amazon Web Services (AWS)", "Flask", "PostgreSQL", "Python" ] }, { "id": 98290, "title": "Senior SDR", "url": "https://www.ycombinator.com/companies/maven-bio/jobs/yT0mGi2-senior-sdr", "location": "Boston, MA, US", "type": "Full-time", "role": "Sales", "role_type": null, "salary_range": "$80K - $140K", "equity_range": "", "experience": "1+ years", "visa": "US citizen/visa only", "skills": [] } ], "news": [], "launches": [ { "id": 85261, "title": "Maven Bio - Your AI analyst for BioPharma market intelligence", "tagline": "Empowering BioPharma professionals to get more done by pairing AI-powered research with a world-class BioPharma database. ", "body": "**TL;DR:** Maven Bio’s AI Analyst can construct a full competitive landscape, research specific drugs or companies, or analyze trial data, all by leveraging our curated content library of over 10 million BioPharma documents. Join hundreds of users from the world's top BioPharma companies, consultancies, and venture capital firms and try our robust free tier at [mavenbio.io](http://mavenbio.io)\n\n**🎯 The Problem:**\n\nMore than 90% of clinical-stage drugs fail - yet while scientific failures get most of the attention, \\~20% of all programs actually fail for business and commercial reasons. \n\nWhy? \n\nToday, therapeutic opportunities are evaluated using a highly manual process with fragmented information along with a heavy dose of consultants, hundreds of slides, and dozens of disparate data sources, which makes it difficult and time-consuming to assess the commercial potential of a drug.\n\n**✨ Our Solution**: \n\nMaven Bio’s AI Analyst for BioPharma Market Intelligence empowers teams to get smart on an opportunity area and understand the competitive landscape faster and more effectively.\n\nUnlike a generative chatbot or traditional database that provides rows of data but takes no action, Maven Bio’s AI Research Analyst **_actually performs analysis for you_**, giving you meaningful insights on critical BioPharma business questions like:\n\n* _What is the competitive landscape, and how differentiated is a given drug compared to current treatments?_\n* _What are the different approaches companies are taking to develop drugs for this disease, and how do they compare?_\n* _How are patients treated today, and what are the gaps in treatment and the level of unmet need?_\n\nIn a field where accuracy is crucial, we leverage our proprietary content library of over 10 million BioPharma documents with a unique combination of both financial and scientific information, including drug and trial data, press releases, SEC filings, earnings transcripts, and much more to provide unrivaled breadth and depth.\n\n\n\n👋 **Our ask: How you can help** \n\n* Join hundreds of users across top BioPharma companies and try it yourself at [mavenbio.io](http://mavenbio.io) - we have a robust free tier!\n* Connect us with relevant professionals in BioPharma, including: \n * Consultants focused on the BioPharma space\n * Business development, corporate development, and new product planning roles at BioPharma companies\n * Investment professionals (bankers, VCs, etc.) focused on Biotech\n\nIf you want to discuss additional customizations available in our Enterprise plan, or just want to chat, connect with us [here.](https://cal.com/team/maven-bio/intro)\n\n![uploaded image](/media/?type=post&id=85261&key=user_uploads/89898/4d362486-e4bb-4cfb-ac0a-0077cc49171f)\n\n", "url": "https://www.ycombinator.com/launches/MBB-maven-bio-your-ai-analyst-for-biopharma-market-intelligence", "votes": 18, "created_at": "2024-11-04T16:52:42.714Z" } ] }, { "id": 28927, "name": "Metalware", "slug": "metalware", "former_names": [ "Metalware", "metalware", "Metalware", "Isocode" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/17a2d106f9cdebdba12fd6e7d00d9e948e77f5be.png", "website": "https://www.metalware.com/", "all_locations": "San Francisco, CA, USA", "long_description": "Metalware develops advanced firmware security solutions for critical infrastructure, protecting industries like aerospace, defense, automotive, telecom, and healthcare from cyber threats.\r\n\r\nOur product is an automated, intelligent binary fuzzer that enables organizations to efficiently discover and remediate security weaknesses in hardware products before deployment.", "one_liner": "Firmware cybersecurity", "team_size": 4, "industry": "B2B", "subindustry": "B2B -> Security", "launched_at": 1689732876, "tags": [ "DevSecOps", "Hardware", "GovTech", "Cybersecurity", "Enterprise" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Summer 2023", "status": "Active", "industries": [ "B2B", "Security" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/metalware", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2023/metalware.json", "year_founded": 2023, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/metalwareinc", "x_url": "https://twitter.com/metalwareinc", "fb_url": null, "cb_url": "https://www.crunchbase.com/organization/metalware", "github_url": "https://github.com/metalware-inc", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/17a2d106f9cdebdba12fd6e7d00d9e948e77f5be.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": null, "founders": [ { "user_id": 1029004, "full_name": "Ryan Chow", "title": "Founder", "founder_bio": "Co-founder & CEO of Metalware. 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It flags camera failures and coverage gaps, and gathers video evidence from multiple cameras to help their team or monitoring provider filter out false alarms and decide when to act.", "one_liner": "Solar farm security software for existing cameras", "team_size": 1, "industry": "B2B", "subindustry": "B2B -> Security", "launched_at": 1691807496, "tags": [ "Machine Learning", "Computer Vision", "B2B", "Security", "Enterprise" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Summer 2023", "status": "Active", "industries": [ "B2B", "Security" ], "regions": [ "France", "Europe", "Remote", "Partly Remote" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/rimward", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2023/rimward.json", "year_founded": 2023, "city": "Paris", "country": "FR", "linkedin_url": "https://www.linkedin.com/company/rimward", "x_url": "https://twitter.com/rimward_ai", "fb_url": null, "cb_url": "https://www.crunchbase.com/organization/rimward", "github_url": "https://github.com/rimward", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/bd215af97ab581709a04ff6284c6091f29c2058e.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Diana Hu", "url": "https://www.ycombinator.com/people/diana-hu" }, "founders": [ { "user_id": 1390247, "full_name": "F-G Fernandez", "title": "Founder", "founder_bio": "Founder and CEO of Rimward. FG co-founded Pyronear, an open-source nonprofit, helping turn a Raspberry Pi, his laptop GPU and entry-level camera into a wildfire detection network across Europe and South America. Running AI locally on affordable hardware, it serves French fire services and detected a wildfire 32 km away.\n\nA computer vision researcher by background, he led research at Mindee (YC W21), published conference papers without a PhD and was formerly a top PyTorch contributor.", "is_active": true, "linkedin_url": "https://linkedin.com/in/frgfm", "x_url": "https://twitter.com/FrG_FM", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/eed0d8708a06aa60a305c5d378c1355472e2e065.jpg" } ], "jobs": [ { "id": 92922, "title": "Security / IoT Deployment Engineer", "url": "https://www.ycombinator.com/companies/rimward/jobs/j4L5SKW-security-iot-deployment-engineer", "location": "Paris, IDF, FR / Paris, Île-de-France, FR", "type": "Full-time", "role": "Engineering", "role_type": "Embedded systems", "salary_range": "€50K - €70K EUR", "equity_range": "0.50% - 2.00%", "experience": "3+ years", "visa": "US citizenship/visa not required", "skills": [ "Linux", "Docker", "Information Security", "Internet of Things (IoT)" ] }, { "id": 92923, "title": "Platform Engineer", "url": "https://www.ycombinator.com/companies/rimward/jobs/Ocflvow-platform-engineer", "location": "Paris, IDF, FR / Paris, Île-de-France, FR", "type": "Full-time", "role": "Engineering", "role_type": "Backend", "salary_range": "€50K - €70K EUR", "equity_range": "0.50% - 2.00%", "experience": "3+ years", "visa": "US citizenship/visa not required", "skills": [ "Node.js", "TypeScript", "Docker" ] } ], "news": [ { "title": "Here are this year’s top 40 startups at Station F | TechCrunch", "url": "https://techcrunch.com/2023/11/15/here-are-this-years-top-40-startups-at-station-f/", "date": "Nov 15, 2023" } ], "launches": [ { "id": 74260, "title": "🦆 Quack AI - AI companion for developer onboarding", "tagline": "Bridging open-source efficiency to drive enterprise excellence.", "body": "Hello there! I'm FG (short for François-Guillaume 🇫🇷), the founder of [Quack AI](https://www.ycombinator.com/companies/quack-ai).\n\n**tl;dr:** _We help large software companies run like the most efficient open-source projects. In the future, top-tier developers in those organizations will be able to contribute to pivotal projects, regardless of what teams they're from._\n\n### **💬** The Problem\n\nSuccessful OSS projects are well-organized communities where information is shared and valued. Recognizing this gold standard, corporate giants like Microsoft and IBM are shifting towards 'innersource' - a strategy that fosters ownership, augments communication, and bolsters productivity. However, like many cluttered OSS projects, the vast array of solicitations and varying expertise easily gets overwhelming.\n\n### 💻 Our Solution\n\nOur Dual-Fold Approach:\n\n![uploaded image](/media/?type=post&id=74260&key=user_uploads/1390247/195e8fa1-3b7d-4327-9507-c05a168f1531)\n\n* **Clarity for maintainers** (Web interface): we empower maintainers with a framework to streamline contribution processes. Through our intuitive interface, maintainers can design, curate, and sequence the optimal steps for smooth project contributions.\n\n![uploaded image](/media/?type=post&id=74260&key=user_uploads/1390247/94e7fe10-fc64-4df9-893a-8f20fd16e2ea)\n\n* **Guidance for developers** (VSCode extension): with our IDE extension, developers aren't just compliant; they're efficient. It aids in identifying the right issues, ensures alignment with contribution flows, and keeps a pulse on project priorities.\n\nWhile maintaining popular OSS projects and being an active contributor to PyTorch, I’ve often faced the frustration of seeing Pull Requests from newcomers and thinking “If only that person had the reflex to do XYZ.” Those unwritten norms, which often evade CI restrictions, only sink in after repeated code reviews and numerous trials and errors. This uneasy feeling that “it would be so easy if they were to do ABC” highlights the absence of a solid framework for collaborative development.\n\n### 🦆 The Team\n\n![uploaded image](/media/?type=post&id=74260&key=user_uploads/1390247/153b4727-f3fd-4ba1-9020-45fbc7e19d2b)\n\nI tend to describe myself as a _\"Deep learning engineer by day, open source contributor by night 🦇\"_ which is fairly accurate! On top of being among the top contributors of PyTorch, I’ve led the development of the open-source OCR library of devtool company Mindee (YC W21). I experienced first-hand how some open-source communities are structured to achieve high engagement & productivity, which now appeals to software behemoths.\n\n### 🙏 How you can help\n\n* **🤝 Refer**: know someone in a major corporation looming over innersource or part of a substantial OSS project? Please connect us.\n* **⭐ Engage**: star us on [GitHub](https://github.com/quack-ai/companion) & hop into our [Discord](https://discord.gg/E9rY3bVCWd) for the latest updates!\n* **👍👎 Experiment & feedback**: mold your unique coding insights and take our [VSCode extension](https://marketplace.visualstudio.com/items?itemName=quackai.quack-companion) for a whirl.\n* **📣 Share**: share this post with your network, you can find us on [Twitter](https://twitter.com/quack_ai) or [LinkedIn](https://www.linkedin.com/company/quackai)\n\nUp to revolutionize developer collaboration? Let’s get quacking then!", "url": "https://www.ycombinator.com/launches/JJk-quack-ai-ai-companion-for-developer-onboarding", "votes": 157, "created_at": "2023-08-21T14:34:11.158Z" } ] }, { "id": 29006, "name": "Inari", "slug": "inari", "former_names": [ "Backpocket" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/6146717f3a538ddcc342da7a54a025ac6b894c0d.png", "website": "https://useinari.com", "all_locations": "San Francisco, CA, USA", "long_description": "Inari automatically surfaces actionable insights and product opportunities from your customer feedback, CRM, and backlog. \r\n\r\nInstead of sifting through 1000’s of sales calls, support tickets, and customer feedbacks manually, Inari automates the process of extracting useful quotes, surfacing customer insights and product opportunities, then linking insights and issues with your CRM and backlog so your team can spend less time analyzing and more time building products that customers love.", "one_liner": "Your junior AI product manager", "team_size": 2, "industry": "B2B", "subindustry": "B2B -> Engineering, Product and Design", "launched_at": 1691035994, "tags": [ "Generative AI", "B2B", "Analytics", "Enterprise", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2023", "status": "Acquired", "industries": [ "B2B", "Engineering, Product and Design" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/inari", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2023/inari.json", "year_founded": 2023, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/98071724/", "x_url": "https://twitter.com/useinari", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/6146717f3a538ddcc342da7a54a025ac6b894c0d.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Harj Taggar", "url": "https://www.ycombinator.com/people/harj-taggar" }, "founders": [ { "user_id": 1073124, "full_name": "Frank Lee", "title": "Founder", "founder_bio": "Cofounder / CEO of Inari. Led product teams building out gamification, marketplace, and economy management on NBA Top Shot and NFL ALL Day while @ Dapper Labs. Worked on ML pricing product and scaled several cities in BizOps between 2016-2020 @ Opendoor. Data became my love language while working @ Amazon. I love all things about startups, product, marathon running, and streetwear.", "is_active": true, "linkedin_url": "https://linkedin.com/in/bizfranklee", "x_url": "https://twitter.com/knarfeel_", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/4919cafa87948e30d8f65168cb9a460fc0753ad0.jpg" }, { "user_id": 1160832, "full_name": "Eric Kim", "title": "Founder", "founder_bio": "CTO of Inari: Building the AI copilot connected to your workplace data to empower teams to gather context and make decisions quickly.\n\nPreviously at Amazon.com Supply Chain Forecasting and AWS SageMaker as founding tech lead for DataWrangler, owner of the SageMaker XGBoost image, and point of contact for algorithm deployment to secure GovCloud environments.", "is_active": true, "linkedin_url": "https://linkedin.com/in/ericangelokim", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/b61a58ead2fa8cedfb3829d29203543e883dba42.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 87667, "title": "Inari 🦊 - Your junior AI product manager", "tagline": "Build delightful products by identifying insights and product opportunities automatically from your customer feedback, CRM, and backlog.", "body": "Hey YC 👋🏼 - Frank and Eric here from [Inari](https://useinari.com/)!\n\n### **TL;DR**\n\n[Inari](https://useinari.com/) automatically surfaces actionable insights and product opportunities from your customer feedback, CRM, and backlog. This helps your team prioritize and build products that users love — without having to sort through 1,000’s of sales calls, support tickets, or feedbacks manually.\n\nTry Inari out for free at [useinari.com](http://useinari.com) or checkout our [product demo](https://www.youtube.com/watch?v=PKrRjXW1b08).\n\n### **Problem**\n\nThe canonical startup advice is “talk to your users” and “deeply understand customer problems,” but executing it is easier said than done. The volume of customer feedback and qualitative data is exploding, living fragmented across hundreds of tools, making it difficult and time-consuming to convert customer data into useful insights and product opportunities.\n\nWithout a clear view of what customers are saying, product teams miss out on signals that can improve their product, reduce churn, and drive revenue growth. Missed signals means your engineering team wastes time building features customers don’t actually need.\n\n### **Explore accurate customer insights**\n\nInari allows you to explore your customer feedback, convert it into actionable requests, defects, praises, and learnings, then deeply understand exactly what’s top of mind for customers. Each insight gets auto-linked with relevant customer feedbacks and your CRM, so you can measure how frequent and valuable an insight is based on feedback.\n\n![uploaded image](/media/?type=post&id=87667&key=user_uploads/1073124/0e4651d3-cf6b-4349-8f43-d2a6c97afef8)\n\n### **Unify feedback, analyze it at scale**\n\nInari unifies your customer feedback from sources like Gong, Intercom, Zendesk, and Slack then automates the tedious process of sifting through it, extracting useful quotes, measuring sentiment, triaging feedback to specific teams, and linking it back to insights and issues (goodbye Productboard 👋🏼) using personalized fine-tuned AI models.\n\n![uploaded image](/media/?type=post&id=87667&key=user_uploads/1073124/5fc0851a-7ae9-4dba-a9cb-7736f8144ae1)\n\n### **Prioritize product opportunities**\n\nInari syncs with your Jira and Linear backlog, so you can ingest existing issues then auto-link it to relevant feedbacks and your CRM. This enables product builders to know exactly which company accounts are requesting a feature, its revenue impact based on deal size, then identify and resolve requests and edge cases flagged in relevant customer comments.\n\n![uploaded image](/media/?type=post&id=87667&key=user_uploads/1073124/8e9e5f59-9057-4035-a69b-df6835dc3e8c)\n\n### **Accelerate product development and prototypes**\n\nSince Inari is connected to customer data and organizes product context, you can generate deep dives, PRDs, and AI prompts grounded in customer needs in one-click. As AI coding tools improve, a key bottleneck to building better features is task clarity - Inari makes it easy to convert customer context into well-defined prompts that steer AI coding tools in generating prototypes.\n\n![uploaded image](/media/?type=post&id=87667&key=user_uploads/1073124/acafcf7e-5fc9-42d9-afd3-4e0207091582)\n\n### **Get started 💯**\n\n* If your product, engineering, or CX team needs to convert overwhelming volumes of customer data into actionable insights and product opportunities, [get started today](https://app.useinari.com/api/auth/signup) or check out [Inari](http://useinari.com) to learn more.\n* We’d love any feedback and are always down to geek out about product development. [Talk to us](https://cal.com/frank-lee-inari/30min) about your analysis, product discovery, prioritization, or AI prototyping problems so we can build something delightful for you!", "url": "https://www.ycombinator.com/launches/Mnz-inari-your-junior-ai-product-manager", "votes": 21, "created_at": "2025-02-17T18:24:09.722Z" }, { "id": 80084, "title": "🦊 Inari: AI-powered product discovery and feedback analytics", "tagline": "Surface insights and revenue-generating product opportunities from your customer data auto-magically", "body": "Hey YC friends👋🏼 - Frank and Eric here from [Inari](https://useinari.com/)!\n\n## **TL;DR**\n\n[Inari](https://useinari.com/) surfaces customer insights and revenue-generating product opportunities from your customer data auto-_magically_ using AI.\n\nInstead of sifting through 100s of user interviews or 1000s of pieces of customer feedback manually, Inari automates the process of highlighting interesting quotes, identifying trends, uncovering impactful feature requests, and tying helpful prioritization metrics with features so your team can spend less time analyzing and more time building products that customers love. See our [product demo here](https://www.youtube.com/watch?v=vn3AExWP5xA).\n\n## **The Problem**\n\nThe canonical startup advice has always been, \"_go talk to your users._\" However, the process of listening to users, extracting meaningful insights, and figuring out what products to build based on actual customer problems is time-consuming. Most teams fail to make use of their customer data, resulting in missed revenue and higher churn.\n\nTop-performing teams that do talk to users have to spend significant effort manually analyzing and triaging customer feedback, sales convos, and support tickets. It’s tough to actually pull out impactful feature ideas and product opportunities from customer interactions and then persuade your team to prioritize them. Pulling together effective customer anecdotes and convincing prioritization metrics requires a ton of research and analysis.\n\n## **How It Works**\n\nIn the near future when AI makes us 10x more productive with task execution, deeply understanding customer problems and identifying impactful initiatives to take on becomes increasingly important. Inari helps automate the monotonous parts of customer analysis and product discovery across several steps.\n\n**Analyze customer interactions on autopilot**: Inari integrates with customer data sources (like Slack, Salesforce, and Gong), ingests customer interactions (like feedback, support tickets, and sales convos), and then automatically analyzes it all. Inari highlights key quotes, scores sentiment, and then triages feedback to specific teams, saving your product and support teams from having to do it manually.\n\n![uploaded image](/media/?type=post&id=80084&key=user_uploads/1073124/3424c0c3-51ff-4372-96b9-0f77052aec5c)\n\n**Automated accurate insights**: As feedback pours in, Inari clusters it into accurate insights (requests, defects, praises, learnings, competitor mentions) so you can understand what’s top of mind for customers. Each insight comes with volume and sentiment metrics, alerts, and VoC dashboards that automate reporting. You can customize taxonomies and prompts to tailor analysis to your team’s needs.\n\n![uploaded image](/media/?type=post&id=80084&key=user_uploads/1073124/214b1290-e4dd-432d-8d7a-0be12fb8f717)\n\n**Uncover product opportunities**: Inari surfaces potential backlog issues based on customer feature requests or AI-recommended solutions for top customer problems. Every issue auto-links to relevant customer data like deal size, company stage, mention volumes, and specific anecdotes – giving you a 360° view when prioritizing what issues matter most.\n\n![uploaded image](/media/?type=post&id=80084&key=user_uploads/1073124/3f6e8e5e-ebf2-420d-b649-ab3ee0fc453c)\n\n## **Our Asks 🙏🏼**\n\n* If your product, engineering, CX, or sales team wants to convert overwhelming volumes of customer data into actionable insights, VoC reporting, and alerts, you can [get started today here](https://app.useinari.com/api/auth/signup) or check out [useinari.com](http://useinari.com) to learn more.\n* If you’re interested in surfacing product opportunities and generating a 1st draft of your backlog based on customer requests using AI, let’s [chat live](https://calendly.com/frank-xu8/chat-with-frank-inari) or email [frank@useinari.com](mailto:frank@useinari.com) so I can onboard your team as design partners.\n* We’d love any feedback and are always down to geek out about product development. Talk to us about your analysis, product discovery, or prioritization problems so we can build something delightful for you!", "url": "https://www.ycombinator.com/launches/Kpg-inari-ai-powered-product-discovery-and-feedback-analytics", "votes": 39, "created_at": "2024-04-10T22:50:35.177Z" }, { "id": 73813, "title": "🦊 Inari: AI-Powered Customer Insights Hub", "tagline": "Customer feedback that analyzes itself ✨. Unify your feedback then automatically analyze and generate product insights at scale.", "body": "## **TL;DR**\n\n[**Inari**](https://useinari.com/) is the AI-powered hub for unifying customer feedback and generating product insights. Instead of sifting through 100’s of pages of user interviews or 1000’s of pieces of customer feedback manually, you can use Inari to consolidate customer feedback across data sources, automatically highlight useful quotes, categorize sentiment, and generate insights. You can use this data to understand what’s on your customer’s minds, figure out which themes will boost engagement and retention, then prioritize your roadmaps.\n\n**If any product, UX research, design, support, or other teams want an automated way to analyze customer themes, requests, quotes, and other insights for planning, triaging requests, and other use cases - let us know and we’d love to get this live for you (**[**frank@useinari.com**](mailto:frank@useinari.com)**)!**\n\n## **The Problem(s)**\n\n* Product, design, and engineering teams rely on feedback and research data for insights and empathy for building products people love. However, this data lives across several sources like Salesforce, Zendesk, customer interviews living in PDFs, and data sitting in CSVs so it’s tough to maintain a 360-degree view of opportunities to improve customer experience.\n* It’s time consuming to manually sift through, analyze, and tag customer feedback data to be used for roadmap and feature planning. Having to deal with and endless amount of copying and pasting feedback + fiddling with context limits in ChatGPT and Claude is also mind-numbing. We had several designers and UX researchers come inbound saying they have to sift through 100+ pages of customer research transcripts for themes 🤯.\n* It’s hard to know the exact volume of customers that are mentioning a specific problem or topic and having this data on hand is critical for sizing magnitude for problems when deciding what features or themes to prioritize.\n\n## **How It Works**\n\n**Consolidate feedback in one place**: Sales notes, user interviews, Slack requests, CSVs with customer feedbacks... unify them all in Inari. Inari ingests feedback from unstructured and structured sources, consolidates them into a unified hub, then provides a streamlined workflow to manage it all.\n\n![uploaded image](/media/?type=post&id=73813&key=user_uploads/1073124/2af2e6fe-cd27-440c-9b01-04280bc2bd08)\n\n**Automate feedback analysis**: Inari automatically analyzes customer sentiment and highlights top requests, defects, praises, and learnings across your customer feedback and interviews so your team doesn't have to review hundreds of sources manually.\n\n![uploaded image](/media/?type=post&id=73813&key=user_uploads/1073124/e23cb606-4066-4836-9a8e-d0f31088949c)\n\n**Surface product insights automatically**: Reduce churn and build delightful products based on insights, feature requests, bug fixes, and learnings that Inari extracts from connected feedback. Inari attributes insights to the feedback most related to it, so you can size how frequently an issue is mentioned when prioritizing your backlog.\n\n![uploaded image](/media/?type=post&id=73813&key=user_uploads/1073124/5b4dc325-9975-4d3c-8dc6-1ec5faa5bdb1)\n\n**Visualize customer trends**: Search, filter, and monitor trends in dashboards built on your consolidated feedback, insights, and customer data.\n\n![uploaded image](/media/?type=post&id=73813&key=user_uploads/1073124/735992d9-bf16-4b47-b3bd-ae79590a1e7e)\n\nCheck out the quick product demo [here](https://www.youtube.com/watch?v=N91aAfrWZ4E&t=5s).\n\n## **Founder Background**\n\nFrank and Eric met back in 2014 while working together at Amazon. Eric worked @ AWS for 7 years building out Sagemaker, owned their XGBoost image, and deployed algos for the US government before transitioning to full-stack eng for securely managing health and bio data @ Betteromics. Frank worked on ML algorithms an interfaces @ Opendoor between 2016-2020 and managed products like NBA Top Shot + business intelligence teams @ Dapper Labs and Amazon.\n\n## **Our Asks 🙏🏼**\n\n* If you know any teams struggling with extracting takeaways from their feedback data, whether it’s thousands of structured feedback from Zendesk or a few 10 page customer interview transcripts, send them our way and we’d love to help them out! Reach us at [frank@useinari.com](mailto:frank@useinari.com) or [eric@useinari.com](mailto:frank@useinari.com).\n* We’d love any feedback! Especially around how your team is currently managing feedback and roadmap items, any frustrations, and which datasets you need handled.", "url": "https://www.ycombinator.com/launches/JCX-inari-ai-powered-customer-insights-hub", "votes": 34, "created_at": "2023-08-04T14:55:51.908Z" } ] }, { "id": 29136, "name": "Autotab", "slug": "autotab", "former_names": [ "42 Labs", "Planetary Computers Inc.", "Planetary Computers", "ztool", "autotab" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/4967676cdc6058f952822347fafe9d59a61218fb.png", "website": "https://autotab.com", "all_locations": "San Francisco, CA, USA", "long_description": "Autotab is a drop-in AI knowledge worker that uses a mouse and keyboard like you—so anything you can do, it can do. Show it how to perform your task, train it to be hallucination-proof by adding examples and providing feedback, and then run it on demand or on a schedule—either locally or in the cloud.\r\n \r\n\r\nIt achieves superhuman reliability, and can scale up on demand so your team doesn’t have to.\r\n \r\n\r\nAutotab is already handling complex tasks thousands of steps long, from messaging customers to triggering payments and updating data across core systems of record like Salesforce, HubSpot, Google Sheets, and Jira.\r\n\r\n \r\nDownload the beta version of the app and get started right away, or sign up for a personalized onboarding: https://www.autotab.com", "one_liner": "AI agents reliable enough to do real work", "team_size": 2, "industry": "B2B", "subindustry": "B2B -> Productivity", "launched_at": 1689696182, "tags": [ "Productivity", "Enterprise", "Automation", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2023", "status": "Acquired", "industries": [ "B2B", "Productivity" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/autotab", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2023/autotab.json", "year_founded": 2023, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/autotab-ai", "x_url": "https://x.com/autotabai", "fb_url": null, "cb_url": null, "github_url": "https://github.com/orgs/Planetary-Computers/repositories", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/4967676cdc6058f952822347fafe9d59a61218fb.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Harj Taggar", "url": "https://www.ycombinator.com/people/harj-taggar" }, "founders": [ { "user_id": 414353, "full_name": "Jonas Nelle", "title": "Founder", "founder_bio": "Born and raised in Berlin. BA in Rationality from Harvard (convinced them to let me create a new major). Built data-driven applications at Palantir and Taktile (YC S20). Started and sold the first oracle for zero-knowledge rollups on Ethereum.", "is_active": true, "linkedin_url": "https://linkedin.com/in/jonas-nelle", "x_url": "https://twitter.com/jonas_nelle", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/d63eedbe6cd0f00992a1305f591f790b81102d67.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 91808, "title": "Autotab: The first AI agent you onboard, not integrate", "tagline": "Infinitely scalable remote workers that you onboard via a simple screen recording", "body": "tl;dr: You can now teach AI to do your work by simply recording a short video explaining the task. Once trained, you can run an entire fleet of parallel instances to complete weeks of work in a few hours.\n\nDownload the app and put Autotab to work—no sales call or credit card required to get started: [https://www.autotab.com](https://www.autotab.com/)\n\n### \n\nhttps://youtu.be/JTniG6K30UU\n\n### Problem\n\nToday’s models have the intelligence required for most work—but they are bottlenecked by context, tools, and their ability to operate over long time horizons.\n\n### Context: Teaching, not prompting\n\nAutotab learns like a human colleague–by watching demonstrations, reading SOPs, and taking feedback on its past work.\n\nReal work is rarely zero-shot, so Autotab is designed to ask clarifying questions as it is learning, and to be good at taking feedback.\n\n### Tools: UI-first control\n\nAutotab interacts directly with existing applications and internal tools using a mouse and keyboard—no technical integration required.\n\n### Long tasks\n\nAutotab is able to work for days at a time, using scaffolding and checkpoints to stay on track, just like an SOP.\n\n### Superpowers: Better than human\n\nOnboarding Autotab is designed to feel like onboarding a remote human worker, but running Autotab is an entirely different experience.\n\nFor sensitive tasks, Autotab can be run in a dedicated local browser with support for enterprise authentication and SSO—credentials never leave your device.\n\nAutotab can also be run at scale in the cloud, with an entire fleet of parallel instances working together to complete weeks of work in a few hours.\n\n### Accessible to everyone\n\nFor the past 6 months, we’ve helped companies like DoorDash scale work that previously required humans, running years worth of continuous computer use.\n\nNow, you can download the app and put Autotab to work—no sales call or credit card required to get started.\n\n### Use cases\n\nIf you’re looking for some inspiration for how to use AI agents like Autotab, here are a few examples of common tasks others are using Autotab for.\n\n* Collecting and enriching data: For example finding the payment options offered by e-commerce websites, or researching the technology vendors used by local businesses.\n* Filling out forms: For example government forms to request documents, or forms to request quotes from businesses such as insurance carriers.\n* Taking action: For example updating leads in a CRM, processing customer support tickets or sending messages to leads.", "url": "https://www.ycombinator.com/launches/Nsm-autotab-the-first-ai-agent-you-onboard-not-integrate", "votes": 9, "created_at": "2025-07-02T18:51:11.029Z" }, { "id": 84840, "title": "Autotab: AI agents reliable enough to do real work", "tagline": "Not a chatbot: Autotab handles repetitive tasks end to end using a keyboard and mouse, with human-level reliability.", "body": "# TLDR\n\nAutotab is a drop-in AI knowledge worker that uses a mouse and keyboard like you—so anything you can do, it can do. It achieves superhuman reliability, and can scale up on demand so your team doesn’t have to.\n\nAutotab is already handling complex tasks thousands of steps long, from messaging customers to triggering payments and updating data across core systems of record like Salesforce, HubSpot, Google Sheets, and Jira.\n\n### Open beta launch\n\nStarting today you can download the beta version of the [app](https://www.autotab.com/) and get started right away. Or sign up for a [personalized onboarding](https://www.autotab.com/request).\n\n![uploaded image](/media/?type=post&id=84840&key=user_uploads/414353/c701bf1e-2f28-4bb2-ac4b-779b02be0a8b)\n\n### Autotab is built for real work\n\n“We were promised digital robots, and all we got was tab complete.”\n\nSo far, AI agents have not been reliable enough to do meaningful work without supervision.\n\nAutotab is the first system for building extremely reliable agents that can execute any repetitive task fully autonomously. Show it how to perform your task, train it to be hallucination-proof by adding examples and providing feedback, and then run it on demand or on a schedule—either locally or in the cloud.\n\n### Hallucination Proof\n\nReal work is hard. To push the frontiers of autonomy, we have developed multiple systems that work together to achieve the improbable.\n\n1. **Digital Robot**: For AI to do real work, it needs to be able to use a computer. Autotab is driven by more than 16 unique models, from fast on-device models to vision-based robotics and the largest frontier models in the world.\n2. **Demonstration Learning**: Telling an AI to book flights for you is a cool demo, but real work is nuanced and difficult to explain in a prompt. You teach Autotab by _showing_ it how to do your task the same way you would a human colleague. This means Autotab has 100-1000X more data than prior approaches, providing the deep context required for full autonomy.\n3. **Action Scaffold**: Each task that Autotab learns is composed of a series of steps and sub-goals. This makes it easy to understand what Autotab is doing and gives you fine-grained control.\n4. **Memory**: As it runs, Autotab prompts you for feedback and provides opportunities to steer its behavior. These learnings are accumulated into action memory—improving Autotab’s world model and allowing it to work autonomously with extremely high reliability for hours on end.\n5. **Bare Metal Control**: Autotab uses a custom browser for secure, bare metal task execution—locally and in the cloud. This also lets us avoid most bot detection.\n\nThe result is an AI system that learns and works like a human colleague. It uses a browser, so it can handle any repetitive task you can—there is no list of integrations, just teach it to use whichever apps you want. It asks for clarification when it is uncertain, and you can correct it if it gets something wrong.\n\n### Case studies\n\nHere are a few specific examples of how customers have been using Autotab to get more done:\n\n* A fast-growing startup saves 10+ hours of their team’s time each week using Autotab to find customers at risk of churning in an internal product analytics tool and then has Autotab reach out to them with personalized emails.\n* One customer uses Autotab to handle dozens of support tickets every day, such as updating vendor permissions and assigning training tasks to new employees across different applications.\n* Another customer has trained Autotab to gather research data across different sources, which used to take their employees hours of time to do every week.\n\n### Get started today\n\nYou can download the beta version of the [app](https://www.autotab.com/) and get started right away or sign up for a [personalized onboarding](https://www.autotab.com/request).", "url": "https://www.ycombinator.com/launches/M4O-autotab-ai-agents-reliable-enough-to-do-real-work", "votes": 23, "created_at": "2024-10-17T22:07:57.122Z" }, { "id": 79917, "title": "Autotab: Digital robot to do your repetitive work", "tagline": "Autotab can run thousands of steps with 98%+ reliability, 24/7/365 (no lunch breaks needed)", "body": "**TLDR**: Hire Autotab to do your repetitive work for you, starting at just $1/hour. Autotab is a digital robot that learns like a human—just demonstrate how to perform the task once.\n\nToday, Autotab reliably handles complex tasks with 1000s of steps, saving users hours each day. **Sign up **[**here**](https://78348iv5tyv.typeform.com/to/PFjNcLqW?utm_source=launchyc&utm_campaign=launchyc)** to request early access to Autotab!**\n\n![uploaded image](/media/?type=post&id=79917&key=user_uploads/414353/b923cf51-551f-4232-94c4-f84fc951252c)\n\n### Problem\n\n“I love clicking and typing the same things over and over again,” said no one ever.\n\nNobody likes repetitive work, clicking and typing the same thing over and over again. But writing software to automate it is often too expensive or simply not possible. So we’ve had to do suck it up and grind through (or pay someone else to)—until now.\n\n### Solution\n\nAutotab is a desktop app for teaching AI to do the work you don’t want to do. You simply show it how to do the task once, and Autotab uses AI to learn how to do it for you. Once it has learned a task, Autotab can do it as many times as you want, 24/7/365. No lunch breaks needed.\n\nAutotab is built for real work: It excels at tasks that are **repetitive, such as doing the same thing for every item in a list, and complex, e.g.,** involving many steps across different software applications. Autotab currently is able to do any task that can be done in a browser, with capabilities to control any application on your computer coming soon.\n\nOn top of it all, you only pay for the time that Autotab actually spends doing work for you—starting at $1/hour!\n\n# Digital robot, real work\n\nWe built Autotab with an extreme focus on reliability and the ability to execute complex workflows.\n\n**Bare metal control:** Autotab has its own browser that gives it the bare metal control needed to deliver 98%+ reliability without any site-specific fine-tuning. This also lets us avoid most bot detection.\n\n**Show, don’t tell:** Most other approaches try to have an agent autonomously plan novel chains of actions based on natural language instructions (e.g., “Order me a Domino’s pizza”). While Autotab can do that too, for most important automations it is much easier to show Autotab the workflow than it would be to write a paragraph describing all the steps. If you were to train a human, would you explain where to click or just share your screen & explain with a voiceover?\n\n**Discrete, auditable actions:** Each task that Autotab learns is composed of a series of steps. This makes it easy to understand and have fine-grained control over what Autotab does. It also allows Autotab to work autonomously with extremely high reliability for hours on end.\n\n### Ask\n\nHire Autotab to do your repetitive work for you. **Sign up **[**here**](https://78348iv5tyv.typeform.com/to/PFjNcLqW?utm_source=launchyc)** to request early access!**", "url": "https://www.ycombinator.com/launches/Kmz-autotab-digital-robot-to-do-your-repetitive-work", "votes": 35, "created_at": "2024-04-03T16:54:31.984Z" }, { "id": 73240, "title": "ZTool - Create data tools & scripts with just a few words", "tagline": "ZTool.co is the personal developer for entrepreneurs, analysts, and marketers", "body": "**tl;dr**\n\n**Describe** the tool you need **in** **one sentence** and ZTool will create the code, run it, and present the output. We particularly focus on all things **CSV** **files**: anything from exporting csvs, to merging files and enriching data is possible. Over time, users can edit, build out and share their library of tools with each other.\n\n**Problem**\n\nPython scripts for tools like scrapers or workflow automations have been written thousands of times before. Reusing that code — and saving time — should be easy but it’s not: finding the relevant scripts is hard, and adapting it to your specific case requires a certain level of skill at which one can just write the code from scratch. ZTool solves both the search problem and the skill problem; it will give you the exact script you need, specific to your use case, and regardless of your technical ability.\n\n**Solution**\n\nAll the user has to do is describe the script they want, for example: merge two CSV files. ZTool, powered by LLMs, will ask specifying questions, ask for the input files, and then create an output file. That’s it!\n\n![uploaded image](/media/?type=post&id=73240&key=user_uploads/1377594/f6494391-8d41-4a73-8e81-01d797eef7e3)\n\n**How we came up with this**\n\nWhile working as an analyst at a VC firm many years ago, Jonas hacked together a script to process csv data for a deal analysis. It was a simple script but it **saved him days worth of manual work**. Over time the initial script proved useful for more and more deals and grew into an entire library of Python scripts for automating different tasks, from data analysis to web scraping. It took Jonas a week to create that initial script and he had to learn Python, regex, SQL, Docker, cloud, and more—with ZTool anyone could have done it in 5 minutes.\n\n**Concrete ask**\n\nZTool has a blessing and a curse, and they turn out to be the same thing: it is super powerful and can be used to generate all sorts of scripts. Help us figure out what we should focus on [**by trying it out**](https://www.ztool.co/) and showing us what tools are most useful to you!", "url": "https://www.ycombinator.com/launches/J3I-ztool-create-data-tools-scripts-with-just-a-few-words", "votes": 36, "created_at": "2023-07-19T19:41:52.401Z" } ] }, { "id": 29177, "name": "Onyx", "slug": "onyx", "former_names": [ "Danswer" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/def9ae8f0c06685a28e8184b828d9de7e1232ad3.png", "website": "https://www.onyx.app/", "all_locations": "San Francisco, CA, USA", "long_description": "Onyx is the open source chat UI connected to your company’s docs, apps, and people. We ingest and sync from all sources of information (Google Drive, Slack, GitHub, Confluence, Salesforce, etc.) to provide a centralized place for users to ask about anything. Imagine your most knowledgeable co-workers, all-rolled into one, and available 24/7!\r\n\r\nCheck us out on Github: https://www.github.com/onyx-dot-app/onyx\r\nOr visit our website: https://www.onyx.app/", "one_liner": "Open Source AI Chat", "team_size": 20, "industry": "B2B", "subindustry": "B2B -> Productivity", "launched_at": 1704724705, "tags": [ "Open Source", "NLP", "Enterprise", "Search", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2024", "status": "Acquired", "industries": [ "B2B", "Productivity" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/onyx", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2024/onyx.json", "year_founded": 2023, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/in/onyx-dot-app/", "x_url": "https://x.com/onyx_dot_app", "fb_url": null, "cb_url": null, "github_url": "https://github.com/onyx-dot-app/onyx", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/def9ae8f0c06685a28e8184b828d9de7e1232ad3.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Jared Friedman", "url": "https://www.ycombinator.com/people/jared-friedman" }, "founders": [ { "user_id": 1493761, "full_name": "Yuhong Sun", "title": "Founder", "founder_bio": "Machine Learning and NLP, previously working on transformers architectures for NL-to-SQL and hybrid search at Alation, inc.", "is_active": true, "linkedin_url": "https://linkedin.com/in/yuhongsun", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/515c75a0f3a5760483f3617aa2d35d7b329ea752.jpg" }, { "user_id": 1493215, "full_name": "Chris Weaver", "title": "Founder", "founder_bio": "Building Onyx. In a past life: top-100 NA League of Legends player + TL at Robinhood.", "is_active": true, "linkedin_url": "https://linkedin.com/in/chris-weaver101", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/d0a93d97df47cd7d3f5f3cdca5ecc1e2daf74295.jpg" } ], "jobs": [], "news": [ { "title": "This Pitch Deck Landed AI Agent Startup Onyx a $10 Million Seed Round - Business Insider", "url": "https://www.businessinsider.com/pitch-deck-ai-agent-startup-onyx-seed-round-2025-3", "date": "Mar 18, 2025" }, { "title": "Onyx Raises $10M To Help Teams Find Knowledge Faster with Open Source AI Agents", "url": "https://finance.yahoo.com/news/onyx-raises-10m-help-teams-165500715.html?guccounter=1", "date": "Mar 12, 2025" }, { "title": "Why Onyx thinks its open source solution will win enterprise search | TechCrunch", "url": "https://techcrunch.com/2025/03/12/why-onyx-thinks-its-open-source-solution-will-win-enterprise-search/", "date": "Mar 12, 2025" } ], "launches": [ { "id": 77913, "title": "Onyx - Open Source Unified Search", "tagline": "Connect to all your team’s tools (like Confluence, Google Drive, Slack, Notion, etc.) for a single place to Search and Chat with your team’s documents", "body": "**TL;DR**: Imagine a secure ChatGPT with access to your team’s specific knowledge. As modern teams grow, knowledge becomes dispersed and hard to find. By giving Large Language Models access to parse your knowledge base, [Onyx](https://onyx.app/) can instantly filter through millions of documents to only surface what is relevant.\n\n**Try for Free Here:** [**https://cloud.onyx.app/**](https://cloud.onyx.app/)\n\n**Get Started On-Prem:** [**https://docs.onyx.app/quickstart**](https://docs.onyx.app/quickstart)\n\n![uploaded image](/media/?type=post&id=77913&key=user_uploads/1493761/4c37d5b8-5919-4dab-8d27-c2aa2af46a23)\n\nWe’ve seen teams use Onyx to improve efficiencies from:\n\n* Improving turnaround times for **support** by reducing the time taken to find relevant documentation.\n* Helping **sales teams** get customer context instantly by combing through calls and notes.\n* Preventing lost **engineering** time to answering cross-team questions, building duplicate features due to the inability to surface old tickets or code merges, and helping **on-call** resolve critical issues faster by providing the complete history of an error in one place\n* Self-serving **onboarding** for new members who don’t know where to find information.\n\n### Our Differentiation:\n\nOnyx is [open source](https://github.com/danswer-ai/danswer). You have complete transparency into what is going on with your team’s documents. The deployment of Onyx and your data are completely in your control (we do also offer a [Cloud](https://www.danswer.ai/) version if you prefer being hands-off). You can hook Onyx up with any LLM of your choice or one in-house if you prefer.\n\nOnyx uses the latest methods in information retrieval to make the most of the revolution that is happening in the natural language processing space. Specifically, we use prefix-aware embedding models trained with contrastive loss + BM25 Hybrid Search with reranking options and additional pipeline improvements such as query expansion etc.\n\nYou can also use Onyx to directly get answers in Slack (MS Teams, Discord to come). Many teams have been using this to auto-answer cross-team questions.\n\n![uploaded image](/media/?type=post&id=77913&key=user_uploads/1493761/6813b7f1-9fed-4778-9874-52de4a20bef2)\n\n### Our Ask/Offer:\n\nReach out to us if you’re interested in using Onyx, you can schedule a call with us on [Cal](https://cal.com/team/danswer/founders). Alternatively, you can join our Slack [here](https://join.slack.com/t/onyx-dot-app/shared_invite/zt-2sslpdbyq-iIbTaNIVPBw_i_4vrujLYQ) — we’d love to hear from you!\n\nWe’re already deployed at some outstanding teams and we’re looking to accelerate. If you’re open to closing a deal with us quickly, we can offer you some significant discounts.", "url": "https://www.ycombinator.com/launches/KGf-onyx-open-source-unified-search", "votes": 69, "created_at": "2024-01-29T15:27:24.837Z" } ] }, { "id": 29178, "name": "Lantern", "slug": "lantern-2", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/173b47e676be258f330e690587eca7beae572634.png", "website": "http://lantern.dev", "all_locations": "San Francisco, CA, USA", "long_description": "Lantern is the easiest way to build AI applications using Postgres.\r\n\r\nWe started Lantern because we believe AI is going to impact every single enterprise in every single industry. We want to allow every company to tap into their unstructured data to build better applications.\r\n\r\nWith Lantern Cloud, developers have access to everything they need to build an AI application: embedding generation, vector compression, vector search, efficient indexing, and more. All on top of the database they already know, Postgres, and using infrastructure that scales to billions.\r\n\r\nCheck out our code on Github: https://github.com/lanterndata/lantern", "one_liner": "Postgres vector database extension to build AI applications", "team_size": 3, "industry": "B2B", "subindustry": "B2B", "launched_at": 1690583353, "tags": [ "B2B", "Open Source", "Enterprise", "AI", "Databases" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2024", "status": "Inactive", "industries": [ "B2B" ], "regions": [ "United States of America", "America / Canada", "Remote", "Partly Remote" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/lantern-2", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2024/lantern-2.json", "year_founded": 2023, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/98218505", "x_url": "https://twitter.com/lanterndb", "fb_url": null, "cb_url": null, "github_url": "http://github.com/lanterndata", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/173b47e676be258f330e690587eca7beae572634.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/6cdefae03abf8dbedc86d007cacf0ee7f7b92f1c.png" ], "primary_partner": { "name": "Gustaf Alstromer", "url": "https://www.ycombinator.com/people/gustaf-alstromer" }, "founders": [ { "user_id": 343105, "full_name": "Di Qi", "title": "Founder", "founder_bio": "I'm working on Lantern. We're building the best platform to develop AI applications. Before Lantern, I worked at Y Combinator, on my own startups, and at Facebook. I studied computer science at Princeton, and grew up in Americus, Georgia.", "is_active": false, "linkedin_url": "https://www.linkedin.com/in/di-qi/", "x_url": "https://twitter.com/diqitally", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/f8599f150bb5f7cff3f5a71233fc21979ae0fcd3.jpg" }, { "user_id": 1518897, "full_name": "Narek Galstyan", "title": "Founder", "founder_bio": "Now building the only database you'll need for your AI applications.\n\nI was an early engineer at Timescale, a billion-dollar Postgres company, where I contributed core features.\n\nI did my undergrad at Princeton, where I built a safe OS schedule in Rust for my thesis. More recently, I was a PhD Student at UC Berkeley working on distributed systems.", "is_active": false, "linkedin_url": "https://linkedin.com/in/ngalstyan", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/d4f84260559cbc42248a77a731aa7d3d3b1acb47.jpg" } ], "jobs": [], "news": [ { "title": "YC’s latest Demo Day shows fascinating wagers on healthcare, chip design, AI and more | TechCrunch", "url": "https://techcrunch.com/2024/04/04/ycs-latest-demo-day-shows-fascinating-wagers-on-healthcare-chip-design-ai-and-more/", "date": "Apr 04, 2024" } ], "launches": [ { "id": 79083, "title": "Lantern - Postgres vector database 🏮", "tagline": "Lantern is a Postgres vector database that is scalable, cost-effective, and easy to use", "body": "Hi! We’re Di and Narek. We’re building [Lantern](https://lantern.dev).\n\n## About Lantern\n\nLantern is a Postgres vector database that is easy to use, cost-effective, and scales to billions.\n\nAnyone using a standalone vector database such as Pinecone has to maintain a separate database for their other application needs. This adds complexity. With Lantern, you can run vector search in the database you already know and love, Postgres. In addition, Lantern is [orders](https://lantern.dev/pricing) of magnitude cheaper than Pinecone.\n\nWe recently released [product quantization](https://lantern.dev/blog/pq). This enables index compression so the index can use up to 90% less memory and cost an additional 90% less!\n\nWe support [embedding generation](https://lantern.dev/docs/develop/generate) with Open AI, Cohere, and open-source embedding models inside the database for one-off queries. For bulk transactions and managed columns, we support generating up to 2 million embeddings per hour.\n\n![uploaded image](/media/?type=post&id=79083&key=user_uploads/343105/9ef30a0c-40fe-4de5-b6e7-a64c313ed329)\n\nWe also support [external index creation](https://lantern.dev/blog/hnsw-index-creation), which offloads index creation to external machines to avoid expensive index creation processes causing downtime in production databases.\n\n## Get Started\n\nThe easiest way to get started is with [Lantern Cloud](https://lantern.dev), our managed Postgres service. To self-host or explore our source code, check out our [GitHub repo](http://github.com/lanterndata/lantern).\n\nIf you are currently using another vector database provider or another Postgres provider, we have tools to make migration seamless.\n\nWe have multiple customers using Lantern in production, and we’d love to have you give us a try too! We’re happy to answer any questions or help you get set up - reach out at [support@lantern.dev](mailto:support@lantern.dev) or on X at [@diqitally](https://twitter.com/diqitally).\n\n![](https://lh7-us.googleusercontent.com/olpVbw9LdPqQvlae8m2tpV7bEcDzlwVIuv0laDX55L0r130wsYWkV-lGIcsCletv4I6zgYADCQ_sHmjWtMNZNpJlUkM_g7Z6TpkZJtCO54acRTUMNAyTuPF4HQfT9Na2YWXWzWx19l4_jl5zNikU-bE)\n\n## About Us\n\nBefore Lantern, [Narek](https://linkedin.com/in/ngalstyan) was a PhD student in distributed systems at Berkeley and worked at Timescale, a billion-dollar Postgres company. [Di](https://www.linkedin.com/in/di-qi/) worked at Y Combinator as a software engineer, co-founded a YC-backed 15-minute delivery startup, and worked at Facebook Ads Ranking.", "url": "https://www.ycombinator.com/launches/KZX-lantern-postgres-vector-database", "votes": 49, "created_at": "2024-03-05T21:29:57.288Z" } ] }, { "id": 29246, "name": "Tracecat", "slug": "tracecat", "former_names": [ "neometrics.ai", "Neometrics" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/13bc35dc5fca68051b65f9b77d4198acae677418.png", "website": "https://tracecat.com", "all_locations": "New York City, NY, USA", "long_description": "Tracecat helps AI-native security teams build agents and automate work. All-in-one platform with agents, skills, prompt-to-workflows, and case management. Scale cyber defense with agents you own.\r\n\r\nOpen source and community-driven at it's core: https://github.com/TracecatHQ/tracecat", "one_liner": "Open-source agentic security automation platform", "team_size": null, "industry": "B2B", "subindustry": "B2B -> Security", "launched_at": 1704382841, "tags": [ "Open Source", "Cybersecurity", "Enterprise", "Automation", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Winter 2024", "status": "Active", "industries": [ "B2B", "Security" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/tracecat", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2024/tracecat.json", "year_founded": 2024, "city": "New York City", "country": "US", "linkedin_url": "https://www.linkedin.com/company/tracecathq", "x_url": "https://x.com/tracecathq", "fb_url": null, "cb_url": "https://www.crunchbase.com/organization/tracecat", "github_url": "https://github.com/TracecatHQ/tracecat", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/13bc35dc5fca68051b65f9b77d4198acae677418.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Garry Tan", "url": "https://www.ycombinator.com/people/garry-tan" }, "founders": [ { "user_id": 1589002, "full_name": "Chris Lo", "title": "Founder/CEO", "founder_bio": "CEO and cofounder @ Tracecat", "is_active": true, "linkedin_url": "https://linkedin.com/in/chrislohy", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/9364ac3f992aed21a5c91ff788661feee6b346ec.jpg" }, { "user_id": 1593591, "full_name": "Daryl Lim", "title": "Founder/CTO", "founder_bio": "Daryl Lim is the Co-Founder and Chief Technology Officer of Tracecat.\n\nPreviously, he worked on various observability, data and AI infrastructure teams at AMD, Meta, and a London-based quant trading firm. He earned a Bachelors and Masters degree in Computer Engineering from Imperial College London.", "is_active": true, "linkedin_url": "https://linkedin.com/in/daryllimyt", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/fefca3125ffea270c6461ff05704f3a62c0243bb.jpg" } ], "jobs": [ { "id": 97385, "title": "Software Engineer (Full-stack)", "url": "https://www.ycombinator.com/companies/tracecat/jobs/iatK7cl-software-engineer-full-stack", "location": "New York, NY, US", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$200K - $250K", "equity_range": "0.10% - 0.50%", "experience": "1+ years", "visa": "US citizen/visa only", "skills": [ "Python", "React", "TypeScript", "Next.js" ] }, { "id": 117455, "title": "Mid-Market Account Executive", "url": "https://www.ycombinator.com/companies/tracecat/jobs/pzdYsO1-mid-market-account-executive", "location": "New York, NY, US", "type": "Full-time", "role": "Sales", "role_type": null, "salary_range": "$150K - $350K", "equity_range": "0.10% - 0.20%", "experience": "2+ years", "visa": "US citizen/visa only", "skills": [] } ], "news": [], "launches": [] }, { "id": 29405, "name": "Risotto", "slug": "risotto", "former_names": [ "IntelliServe", "OttoHelm" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/490dc349e37f4a2e0e1693e480f1a2993cdb31aa.png", "website": "https://tryrisotto.com", "all_locations": "San Francisco, CA, USA; Remote", "long_description": "Want to apply AI to your IT Helpdesk queue? Risotto helps you grant software access, limit access/permission grants by time, serve knowledge, and get approvals from people like managers. All using natural language directly in chat (AKA \"ChatOps\")\r\n\r\nIT teams spend too much time manually provisioning software and answering the same question repeatedly. We help them improve resolution times, reduce SaaS spend, and enhance security with 24/7 automated software access and IT support. Check us out at: https://www.tryrisotto.com", "one_liner": "Risotto auto-solves IT support requests using AI", "team_size": 3, "industry": "B2B", "subindustry": "B2B -> Operations", "launched_at": 1709248167, "tags": [ "B2B", "Compliance", "Security", "Enterprise", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2024", "status": "Active", "industries": [ "B2B", "Operations" ], "regions": [ "United States of America", "America / Canada", "Remote", "Fully Remote" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/risotto", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2024/risotto.json", "year_founded": 2023, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/tryrisotto/", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/490dc349e37f4a2e0e1693e480f1a2993cdb31aa.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "David Lieb", "url": "https://www.ycombinator.com/people/david-lieb" }, "founders": [ { "user_id": 607082, "full_name": "Aron Solberg", "title": "Founder", "founder_bio": "Aron is the founder and CEO of Risotto. When not working on his company he enjoys getting outdoors at every opportunity including hiking, skiing, and sailing. ", "is_active": true, "linkedin_url": "https://linkedin.com/in/aronsolberg", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/527b48c5394eaec2220613e0fec8df70f1d1074d.jpg" }, { "user_id": 1380843, "full_name": "Alex Confer", "title": "Founder", "founder_bio": "Co-founder of Risotto! Formerly Hellosign, Dropbox, Gusto. ", "is_active": true, "linkedin_url": "https://linkedin.com/in/aconfer", "x_url": "https://twitter.com/aconfer", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/f0e971abf6917788ebdbdc7d2482802df92cbee7.jpg" }, { "user_id": 784345, "full_name": "Chris Paul", "title": "Founder", "founder_bio": "CTO and co-founder of Risotto. Formerly engineer and lead at HelloSign (YC11), interviewing.io, and Square.", "is_active": true, "linkedin_url": "https://linkedin.com/in/cmpaul/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/312dea2bf6a92f6da5d363de809849a87508c3a4.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 78931, "title": "Risotto: The new AI-enabled IT help desk in Slack", "tagline": "Turn any Slack Channel into an automated IT help desk in 60 seconds ", "body": "# **🏆** Tl;dr:\n\n[Risotto](https://www.tryrisotto.com) automatically solves IT support tickets using AI. We help IT teams improve their resolution times, reduce SaaS spend, and enhance security with 24/7 automated software access and IT support, all directly in Slack.\n\n![uploaded image](/media/?type=post&id=78931&key=user_uploads/607082/1932cf98-d844-41b5-83f3-210c96b453a6)\n\n# Meet the Team\n\n![uploaded image](/media/?type=post&id=78931&key=user_uploads/607082/e5b07a88-94f0-402e-bb58-8330605a7cec)\n\n[Aron](https://www.linkedin.com/in/aronsolberg/), [Alex](https://www.linkedin.com/in/aconfer/), and [Chris](https://www.linkedin.com/in/cmpaul/) met almost 10 years ago at HelloSign (YC11) as early employees.\n\n* Alex led the HelloSign IT team through the acquisition by Dropbox and later led IT engineering at Gusto.\n* Chris has a 25-year history as a software engineer and leader, most recently at Square.\n* Aron was also an early engineer at HelloSign before he shifted into Product Management, and later served as a Director of PM at Dropbox, and a PM lead in ML at Grammarly\n\nCollectively they have over 30 years of experience in enterprise B2B SaaS software. The team says they’re “excited to be building the IT product Alex always wanted, but has never been able to find.”\n\nCheck out automated 24/7 IT support with Risotto! ⬇️ ⬇️ ⬇️\n\n![uploaded image](/media/?type=post&id=78931&key=user_uploads/607082/8345b5cd-5e3e-4cf5-acd9-0054766f9de5)\n\n_Risotto learns the answers to common questions for automated 24/7 resolutions_\n\n# **❌** The Problem\n\n🕒 IT teams spend too much time manually provisioning software and answering the same question repeatedly\n\n💸 Manually provisioning SaaS accounts inflates license costs because there’s a tendency to over-provision\n\n🦹 Security suffers as software accounts proliferate\n\n😫 Quarterly user access reviews for SOC 2 compliance add additional overhead for IT to manage\n\nThese types of problems are a waste of time for people to solve but are perfect for automation. One of our co-founders [Alex](https://www.linkedin.com/in/aconfer/) saw this play out constantly while running IT at Gusto and Dropbox which inspired us to do something about it!\n\n# **📈** The Solution\n\n\n\n_Turn any Slack Channel into an automated IT help desk in 60 seconds_\n\nOut-of-the-box Risotto integrates with Slack, and IDPs like Okta to manage software groups and provide three major feature pillars to make IT teams awesome\n\n### “ChatOps” Helpdesk in Slack\n\nRisotto turns any Slack channel into a 24/7 automated help desk in 60 seconds. Embrace “ChatOps” to minimize context switching for employees and IT. All chat threads are backed by a digital ticket with control handled through natural language and emojis.\n\n![uploaded image](/media/?type=post&id=78931&key=user_uploads/607082/eaba27d2-ab79-4029-9592-b13b31df8ffc)\n\n_You’ll love seeing the green check marks pile up as Risotto solves tickets right in front of your eyes_\n\n### Automated Software Access Management\n\nGain the benefits of software **approvals** and **time-based access** with our powerful access rules engine. All these rules can be configured per department to ensure everyone gets the right level of access.\n\n![uploaded image](/media/?type=post&id=78931&key=user_uploads/607082/24a9a446-eba6-40ba-855e-6edb25d1fab7)\n\n_Time-based access is a piece of cake with Risotto_\n\n![uploaded image](/media/?type=post&id=78931&key=user_uploads/607082/3664b78b-717a-4b99-9b4b-a910579eb3fc)\n\n_Get important and expensive software approved to ensure it’s really needed_\n\n### Streamlined User Access Reviews\n\nYour SOC 2 quarterly access reviews will fly by with Risotto. We offer easy tracking and review of software to ensure you always keep tabs on who has access and why\n\n![uploaded image](/media/?type=post&id=78931&key=user_uploads/607082/dd5f3249-8166-4c99-80ba-87e6065a6c3e)\n\n### Risotto’s benefits\n\n📈 Risotto improves the key metrics that IT teams care about, such as time-to-resolution (TTR), time-to-first-response (TTFR), and employee satisfaction ratings\n\n![uploaded image](/media/?type=post&id=78931&key=user_uploads/607082/eb256bc0-2e46-4265-bb61-4370cca79cf2)\n\nRisotto also provides numerous other benefits including:\n\n1️⃣ A unified IT support funnel to reduce context-switching\n\n⏩ Faster resolutions\n\n💰 Lower SaaS costs with on-demand provisioning\n\n🔐 Better security with timed access, and swift compliance reviews\n\n# Learn More and Try out Risotto\n\nWork in IT and want to try our Risotto? Reach out we’d love to talk! We think the future of IT support is conversational, and AI can help.\n\n* Email us at [founders@tryrisotto.com](mailto:founders@tryrisotto.com)\n* Schedule time directly via [Calendly](https://calendly.com/d/32r-55q-4d7)\n* Visit our [website](https://www.tryrisotto.com) and use our contact form\n\nWe love talking about modern IT challenges and we can often provide advice and best practices for navigating sticky problems!", "url": "https://www.ycombinator.com/launches/KX5-risotto-the-new-ai-enabled-it-help-desk-in-slack", "votes": 152, "created_at": "2024-03-01T01:03:31.109Z" } ] }, { "id": 29454, "name": "Veles", "slug": "veles", "former_names": [ "Veles Inc" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/f31690807aa0caf76a46157dc028528285b5989d.png", "website": "http://www.getveles.com", "all_locations": "Santa Barbara, CA, USA", "long_description": "You closed your first few deals on handshakes and Stripe links. Now a customer wants a ramp-up, custom terms, or annual billing — and suddenly you're duct-taping spreadsheets to your CRM.\r\n\r\nMost CPQ tools are built for 500-person sales orgs with a dedicated RevOps team. Veles is built for you. AI agents handle quoting, approvals, and deal docs end-to-end so you can run a real sales motion without hiring a deal desk.\r\n\r\nIt's free for founders just getting started, and pricing scales with the number of active contracts you manage — so we only grow when you do. No CRM consultant, no six-month rollout. Just connect Salesforce or HubSpot and start closing.", "one_liner": "CPQ for humans and agents", "team_size": 5, "industry": "B2B", "subindustry": "B2B -> Sales", "launched_at": 1708716871, "tags": [ "B2B", "Sales", "Enterprise", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2024", "status": "Active", "industries": [ "B2B", "Sales" ], "regions": [ "United States of America", "America / Canada", "Remote", "Partly Remote" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/veles", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2024/veles.json", "year_founded": 2023, "city": "Santa Barbara", "country": "US", "linkedin_url": "https://www.linkedin.com/company/velesinc", "x_url": "https://twitter.com/VelesInc", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/f31690807aa0caf76a46157dc028528285b5989d.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/4f33d7e7cb09f9c0e098b54f3f489cc4be18898c.png" ], "primary_partner": { "name": "Brad Flora", "url": "https://www.ycombinator.com/people/brad-flora" }, "founders": [ { "user_id": 1627533, "full_name": "Simon Ooley", "title": "Founder/CEO", "founder_bio": "Simon is co-founder & CEO of Veles. Prior to founding Veles, Simon held multiple sales and sales leadership positions. Most recently at Procore Technologies (PCOR), Buildr CRM, and SINAI Technologies. ", "is_active": true, "linkedin_url": "https://linkedin.com/in/simonooley", "x_url": "https://twitter.com/SimonOoley", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/9241b43015df30cbc7e2f8e3c84866a63d9865a1.jpg" }, { "user_id": 1628923, "full_name": "Patrick Koperwas", "title": "Founder/CTO", "founder_bio": "Co-founder and CTO at Veles. Early employee at Procore & Tegus. Degree in Machine Learning and Applied Statistics UCSB.", "is_active": true, "linkedin_url": "https://linkedin.com/in/patkoperwas", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/54b5ce2965050ab8b1f2595b514cfebcefb92eb5.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 78691, "title": "🚀 Veles - Your copilot for enterprise sales", "tagline": "Unlock enterprise deals effortlessly with Veles", "body": "**TL;DR:** [Veles](http://www.getveles.com/) is your copilot for enterprise sales - equip your sales team with an AI-powered quoting tool. Integrated seamlessly with your CRM, CPQ, and BI platforms - give reps a tool they will actually love, and leadership the actionable insights they need to move the needle. \n\n![](https://lh7-us.googleusercontent.com/Bh9JayL-j7HRnGvGS5DUl0AG8mL-BTK-qt0QCls2Kj2pC0d6sGPY2ltJYBjgN01MwyVrIGV4g9CyqlWXgMeYylwLaTQsVc_Wja-SoVpfb0a2crLi1EdLlM_NQsI3e4gUB64CQiE2h79dcr4zlmZUV8g)\n\n\\*\\*\\*\\*\\*\\*\\*\\*\\*\\*\\*\\*\\*\n\n**🤯 The Problem**\n\nPricing enterprise sales deals is a headache. Fragmented processes and tools result in subpar terms and lost opportunities. Many teams resort to complex Google Sheets, Slides/PPTs, manual CRM entries, and email chains just to handle pricing.\n\n❌ Missed Quota: On average 60% of sales reps hit quota due to fragmented tooling, inconsistent processes, and lack of transparency.\n\n❌ Slow Ramp: Onboarding new sales reps takes 5 - 7 months due to poorly documented pricing strategies and variations across companies.\n\n❌ Little Collaboration: Leadership lacks scalable insight into sales negotiations, hindering optimization and guidance for sales reps.\n\n❌ No Knowledge Share: Top performers' insights are trapped, preventing learning and team-wide improvement.\n\n**⚡️ The Solution**\n\nIntroducing Veles - the enterprise sales co-pilot, designed to enhance negotiation skills, minimize discounting, and land larger deals with confidence. Veles offers an easy-to-use calculator, benchmarks for comparing deals against those of peers, and clear guidance on deal desk rules, ensuring accurate pricing and standard terms. \n\nStreamline collaboration with management and equip sales reps with the necessary insights to navigate the quoting and negotiation process effectively, eliminating the reliance on outdated methods (like Google Sheets) and driving sales success through informed decision-making.\n\n**Key Features:**\n\n✅ **SaaS Pricing Calculator:** Easily standardize pricing and track sales rep behavior in one intuitive platform.\n\n✅ **Standard Deal Definition:** Define sales strategies and terms to expedite onboarding and maintain negotiation consistency.\n\n✅ **Performance Analytics:** Gain insights into sales rep behaviors that lead to closed-won deals through comprehensive deal scoring.\n\n✅ **Alignment & Optimization:** Foster team alignment by sharing negotiations and strategies for successful negotiation calls.\n\n**👀 HOW DOES IT WORK?**\n\n[Veles: A Copilot for Enterprise Sales - Watch \\~2 min Video](https://www.loom.com/share/5ed62a735cd04031a79062374185e6cf)\n\n![](https://cdn.loom.com/sessions/thumbnails/5ed62a735cd04031a79062374185e6cf-with-play.gif)\n\nOur Ask:\n\n* Help us spread the word! Share this post and support us.\n* [Book a demo with us here](https://calendly.com/simon-veles/veles-product-discussion) or email us at [founders@getveles.com](mailto:founders@getveles.com). \n* A quick blurb to copy & paste: \"Check out Veles! They’re going through the current Y Combinator batch. Veles streamlines enterprise pricing and negotiations to provide the insights needed to close bigger deals, faster.\"\n\nWe are [Simon](https://www.linkedin.com/in/simonooley/) and [Patrick](https://www.linkedin.com/in/patkoperwas/), and we're on a mission to make every rep a top performer.", "url": "https://www.ycombinator.com/launches/KTD-veles-your-copilot-for-enterprise-sales", "votes": 179, "created_at": "2024-02-23T19:34:52.556Z" } ] }, { "id": 29496, "name": "VoxOps AI", "slug": "voxops-ai", "former_names": [ "Konstructly" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/e5b43dcffa3e71475d3408e71b2080b8a9bd30c6.png", "website": "https://www.voxopsai.com/", "all_locations": "London, England, United Kingdom", "long_description": "Garages, dealers and lenders receive and make a huge number of calls across the customer journey, covering many uses cases. Customers don't want to be kept waiting and want to be proactively informed with reminders and updates by their service providers. \r\n\r\nVoxOps automates up to 80% of their inbound and outbound calls, whilst automating downstream workflows.", "one_liner": "Voice AI for Automotive", "team_size": 6, "industry": "B2B", "subindustry": "B2B", "launched_at": 1703336574, "tags": [ "B2B", "Enterprise", "AI", "Automotive" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2024", "status": "Active", "industries": [ "B2B" ], "regions": [ "United Kingdom", "Europe" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/voxops-ai", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2024/voxops-ai.json", "year_founded": 2023, "city": "London", "country": "GB", "linkedin_url": "https://www.linkedin.com/company/voxopsai/", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/e5b43dcffa3e71475d3408e71b2080b8a9bd30c6.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Brad Flora", "url": "https://www.ycombinator.com/people/brad-flora" }, "founders": [ { "user_id": 1005097, "full_name": "Stefan Vukcevic", "title": "Founder/CEO", "founder_bio": "Ex-Revolut pirate turned AI romantic.\n\n", "is_active": true, "linkedin_url": "https://linkedin.com/in/stefanvukcevic", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/2d89d8e4614497aace960dd78cedce5a75cb3bc6.jpg" }, { "user_id": 1005662, "full_name": "John Hesler", "title": "Founder", "founder_bio": "Embarked on my construction journey at the age of 16, I've relentlessly climbed the industry ladder, starting from the grassroots and ascending to the summit. With a profound commitment to excellence,I've cultivated a wealth of knowledge that spans the entire construction spectrum. Now, as a pivotal force behind Konstructly, I'm excited to channel my expertise towards revolutionising the construction Industry worldwide.", "is_active": true, "linkedin_url": "https://www.linkedin.com/mwlite/profile/in/john-hesler", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/6050e790fe8908e23f85f9d27e1a1b89feb596a3.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 77091, "title": "Konstructly - Making construction payments more efficient", "tagline": "Digitise subcontractor payments and connect them to QA and progress. ", "body": "# Tl;dr\n\nWe digitize subcontractor invoicing and payment approvals (valuations) and connect them to the respective quality checks of the works, trade handovers, and live progress. \\\n\\\n[Konstructly](https://konstructly.com/) not only streamlines manual processes and provides unparalleled visibility, it drives productivity from contractors’ supply chains using the ultimate incentive - cash.\n\n# Team 👷👷👷\n\nHi everyone, we’re [Dima](https://linkedin.com/in/dmitryvim), [John](https://www.ycombinator.com/companies/www.linkedin.com/mwlite/profile/in/john-hesler), and [Stefan](https://linkedin.com/in/stefanvukcevic), and we’re on a mission to prevent overspend in construction. We’re doing this by ‘following the money’ and mapping payments directly to their corresponding works on-site.\n\n![uploaded image](/media/?type=post&id=77091&key=user_uploads/1005097/6f11951c-d0eb-4ec6-854c-db4c448cf807)\n\n# \n\n# The Problem ❌\n\nIn construction, Production— those doing and managing the build on-site— are disconnected from Commercial, those responsible for the project’s finances and profitability. \\\n\\\nThis ultimately results in overspending. \\\n\\\nFor example, quantity surveyors spend 25-50% of their time processing subcontractor invoices, mostly because they don’t have the necessary data on hand. They also spend a lot of time on low-value, manual tasks like data entry. This means that they spend less time on high-value tasks like tendering and procurement, where oversights result in costly mistakes. \\\n\\\nLack of visibility means that a lot of stuff gets swept under the carpet, only to resurface at the end of a project (eg. variations). It also means that subcontractors are less accountable as it’s more difficult to prove things, resulting in reduced productivity, more rework, and longer delays. \n\n# \n\n# The Solution ✅\n\nA single app connecting Production and Commercial stakeholders, entities, and workflows, to save time, increase visibility and incentivize productivity.\n\n# \n\n# How It Works 👨🏻‍💻\n\nSubcontractors’ site teams log their progress for approval/QA by the general contractor’s (GC) site team and for handover acceptance by the next trade. This progress auto-fills their applications, saving their commercial team a lot of time.\n\nThe GC’s commercial team then just has to amend/review as necessary in a simple, purpose-built interface, with all the production data visible (progress, QA, handover acceptance). It makes valuing and approving the subcontractor’s work a lot quicker and provides much more control/visibility. This incentivizes subcontractors to build the right first time (productivity) as GCs can more easily identify inadequacies and withhold payments until works/tasks are performed properly, in their entirety.\\\n\\\nRecorded Handovers are extremely powerful - general contractors are finally able to capture responsible parties and quantify delays, allowing them to enforce liquidated damages or, at the very least, have more leverage in final account negotiation. This encourages prompt and correct behavior from both parties, once again relying on cash to drive productivity.\n\n# \n\n# How We Came Across the Problem 💡\n\nStefan previously built and operated a construction labor marketplace. \\\n\\\nHe handled invoicing and payments between the subcontractor and contractor, needing to manually unify all the different document formats (photos of handwritten statements, WhatsApp lists, emails, word docs, spreadsheets, etc) and manage the endless back and forth between multiple stakeholders - who all had different opinions on what work had been done and how much should be paid! \\\n\\\nNot only was the submission and approval process extremely inefficient, but there was no visibility over the corresponding works or their quality checks, massively increasing risk and friction between the parties. Something had to change!\n\n# \n\n# Our Ask 🙏\n\nConnect us with relevant constructions peeps! eg. Those at general contractors/house builders turning over $20m/year. \\\n\\\nDrop Stefan an email at: [stefan@konstructly.com](mailto:stefan@konstructly.com)", "url": "https://www.ycombinator.com/launches/K3P-konstructly-making-construction-payments-more-efficient", "votes": 14, "created_at": "2023-12-23T16:24:15.373Z" } ] }, { "id": 29500, "name": "The New Money Company", "slug": "the-new-money-company", "former_names": [ "Workparty", "Fermata", "Numo" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/02bf32e1c7869c4a3a70d36bef72c5f5b93ad770.png", "website": "https://newmoneycompany.com", "all_locations": "San Francisco, CA, USA; Remote", "long_description": "The New Money Company protects invoices with insurance.\r\n\r\nWe help businesses expand to buyers in new markets or industries by offloading the risk of buyers not paying their bill.\r\n\r\nSupport number: +18889975745.", "one_liner": "Invoicing that pays you even if your buyer doesn’t", "team_size": 4, "industry": "Fintech", "subindustry": "Fintech -> Payments", "launched_at": 1710863729, "tags": [ "Fintech", "Payments", "B2B", "Insurance", "Enterprise" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2024", "status": "Active", "industries": [ "Fintech", "Payments" ], "regions": [ "United States of America", "America / Canada", "Remote", "Fully Remote" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/the-new-money-company", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2024/the-new-money-company.json", "year_founded": 2023, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/newmoneycompany", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/02bf32e1c7869c4a3a70d36bef72c5f5b93ad770.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Brad Flora", "url": "https://www.ycombinator.com/people/brad-flora" }, "founders": [ { "user_id": 58508, "full_name": "Derrick Wolbert", "title": "Founder/CEO", "founder_bio": "CEO at The New Money Company. Previously built Hologram.com from zero to $20M ARR and closed a $65M Series B as head of revenue. In a previous life, Derrick built the embedded car computing platform used in Waymo vehicles. ", "is_active": true, "linkedin_url": "https://linkedin.com/in/derrickwolbert", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/a23b5607836971de100bdc255ac84ea464c400a2.jpg" }, { "user_id": 1643519, "full_name": "Reuben Balik", "title": "Founder/CTO", "founder_bio": "Reuben is the CTO and co-founder of The New Money Company. Previously, he worked on the most difficult enterprise telecom integrations as the first engineer (and first employee) at Hologram.com. ", "is_active": true, "linkedin_url": "https://linkedin.com/in/reuben-balik", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/1b33f28ca127ec0895b72526f8e41355885cb269.jpg" }, { "user_id": 1452570, "full_name": "Q Carlson", "title": "Founder/CPO", "founder_bio": "Co-founder, and CPO at The New Money Company. Early designer at Flexport (W14) 🚢 ✈️ 🚛 and Quizlet. VP Design at Hologram & project44.", "is_active": true, "linkedin_url": "https://linkedin.com/in/qcarlson", "x_url": "http://twitter.com/qcintheair", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/c3ebab68c8796032c0986b8f07b3f2505f3cf29c.jpg" } ], "jobs": [], "news": [ { "title": "Cross-border fintech stands out in Y Combinator’s Winter 2024 cohort | TechCrunch", "url": "https://techcrunch.com/2024/04/05/cross-border-fintech-y-combinator-demo-day/", "date": "Apr 05, 2024" }, { "title": "YC’s Winter 2024 Demo Day confirms that we are indeed in an AI bubble | TechCrunch", "url": "https://techcrunch.com/2024/04/03/ycs-winter-2024-demo-day-confirms-that-we-are-indeed-in-an-ai-bubble/#:~:text=picked%20it%3A%20Alex-,Numo,-What%20it%20does", "date": "Apr 03, 2024" } ], "launches": [ { "id": 79553, "title": "Numo — Offshore banking & instant payments for global contractors", "tagline": "Meet Numo, filling the trust gap between businesses and international contractors by handling compliance, KYC, and payment.", "body": "# Numo is like upside-down Deel\n\n# TL;DR\n\n[Numo](https://numohq.com/) verifies and credentials global contractors and lets them earn and hold the USD they get from working for American companies. When they need to spend it, we transfer money instantly to their local bank account.\n\n**We launched last week, and have 105 contractors already live and onboarded on Numo, sending their first invoices.**\n\n![uploaded image](/media/?type=post&id=79553&key=user_uploads/1452570/4a2d0978-bdb1-42d8-a223-5c8554db82a9)\n\n# Problem\n\n**Paying international contractors for short-term engagements is messy**. It’s full of remittance services whose brands are not conducive to trust or a professional environment and often look fraudulent to the uninformed. \\\n\\\n**For contractors, it’s even messier**. With expensive fees, slow transfer times, and fuzzy tax + compliance rules — we’ve seen our customers resort to funneling money through friends and families just to get paid. \\\n\\\nAnd the death blow for contractors is the hyperinflation many of their home currencies are experiencing. **Contractors work more every day for less money**. International contractors want to hold their funds in USD as long as they can, and then bring it back only when they need to spend.\n\n![uploaded image](/media/?type=post&id=79553&key=user_uploads/1452570/dd9fa8fc-a5f6-4452-840c-983c916dc798)\n\n# Solution\n\nSo we built Numo:\n\n1. Contractors can onboard and get verified, background checked, and launch their profiles.\n\n ![uploaded image](/media/?type=post&id=79553&key=user_uploads/1452570/c7a8c8c3-c8e5-43b2-bb63-ca263a11ddbd)\n\n2. Every invoice they send via Numo to their clients is paired with their verified profile.\n\n ![uploaded image](/media/?type=post&id=79553&key=user_uploads/1452570/ac16cb72-92bc-4a04-b8ed-fe2d6201e7b2)\n\n3. Their American clients get to pay the way they are most comfortable: ACH payment to a US bank account.\n\n ![uploaded image](/media/?type=post&id=79553&key=user_uploads/1452570/a6370253-5288-4585-bc8d-545bacda9e58)\n\n4. Contractors can hold the USD they make stateside until the moment they need to spend it locally. They can transfer funds to their local account within 20 seconds without excessive fees.\n\n ![uploaded image](/media/?type=post&id=79553&key=user_uploads/1452570/224d13fc-c6ef-423f-8750-437d738673b6)\n\n ![uploaded image](/media/?type=post&id=79553&key=user_uploads/1452570/de06e012-08e5-4ac3-8728-4c67339ae615)\n\n\n# We’re the team to build this\n\nWe all met working in the messy, terrible world of global telecom. We were the early operators at Hologram — a worldwide cellular network for IoT — taking the business from $0 to $20M ARR and through a successful Series B round.\n\n![uploaded image](/media/?type=post&id=79553&key=user_uploads/1452570/f8cd963f-353b-4bc5-8994-aaca6f3f0b83)\n\n_👆 The Numo team on the ground running onboarding events in Lagos, Nigeria._\n\n[Reuben Balik](https://www.linkedin.com/in/reuben-balik/) was the first engineer at Hologram. He led the integrations with some of the worst telco APIs from Verizon, Telus, Deutsche Telekom, and TIS into a unified SIM card platform.\n\n[Q Carlson](https://www.linkedin.com/in/qcarlson/) was the 2nd designer at Flexport and has crafted beautiful experiences in messy, hard industries like supply chain. He uses design to differentiate — attracting a premium for the product and accelerating growth.\n\n[Derrick Wolbert](https://www.linkedin.com/in/derrickwolbert/) ran the GTM team at Hologram from zero through Series B. Before Hologram, he navigated complex bureaucracy at Jeep/Chrysler, building the infotainment platform Waymo relies on in their vehicles.\n\n![uploaded image](/media/?type=post&id=79553&key=user_uploads/1452570/b005abd6-ee98-4c73-b11d-cb69a5067edb)\n\n_Numo founders in Dogpatch 👆_\n\n# \n\n# Ask\n\nAre you using international contractors in your business? Ask them to invoice you using [Numo](https://numohq.com)!\n\nWe’re live in Nigeria. With Kenya, South Africa, Vietnam, Thailand, Malaysia, and the Philippines coming very soon.\\\n\\\n—\n\nGet in touch with the team:\n\nDerrick Wolbert, CEO — derrick@newmoneycompany.com\\\nQ Carlson, CPO — q@newmoneycompany.com\\\nReuben Balik, CTO — reuben@newmoneycompany.com", "url": "https://www.ycombinator.com/launches/Kh7-numo-offshore-banking-instant-payments-for-global-contractors", "votes": 18, "created_at": "2024-03-20T19:48:11.544Z" } ] }, { "id": 29588, "name": "Saphira AI", "slug": "saphira-ai", "former_names": [ "Saphira AI", "Saphira" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/50fee2cba3e02a1824e08a39a9224adb0d2098b5.png", "website": "https://saphira.ai", "all_locations": "San Francisco, CA, USA", "long_description": "Saphira is the easiest way for hardware products to get safety certified and reach market faster, such as industrial robots and heavy machinery.", "one_liner": "The Enablement Layer for Physical AI", "team_size": 7, "industry": "B2B", "subindustry": "B2B -> Engineering, Product and Design", "launched_at": 1717266827, "tags": [ "Hardware", "Robotics", "Compliance", "Enterprise", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Summer 2024", "status": "Active", "industries": [ "B2B", "Engineering, Product and Design" ], "regions": [ "United States of America", "America / Canada", "Remote", "Partly Remote" ], "stage": "Early", "app_video_public": true, "demo_day_video_public": true, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/saphira-ai", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2024/saphira-ai.json", "year_founded": 2024, "city": "San Francisco", "country": "US", "linkedin_url": "https://linkedin.com/company/saphira-ai", "x_url": "https://twitter.com/saphira_ai", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/50fee2cba3e02a1824e08a39a9224adb0d2098b5.png", "app_video_url": "https://bookface-images.s3.us-west-2.amazonaws.com/bf-public_profile/29647/app_video.mp4?X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Credential=ASIAQC4NIECAOTKCHR7A%2F20261020%2Fus-west-2%2Fs3%2Faws4_request&X-Amz-Date=20261020T022720Z&X-Amz-Expires=60&X-Amz-Security-Token=IQoJb3JpZ2luX2VjEHEaCXVzLXdlc3QtMiJHMEUCIQDeV7cQCYWa%2ByyakJaw7aH8e0HNWEyd2tO1Fn9KHjIpkgIgJPUveNomWrSf4Oq5DPuVDY7LKeaNJPvi5F2sbSx87Hoq5QMIOhAAGgwwMDYyMDE4MTEwNzIiDJ7%2FkqUU8p5mIeDC5CrCA7F4UggTYlVYiff4mYkoYiIpXa9r%2FKkUhcKwMNwtYpcuNTEBtH5xi9Hzkl3B%2FOYmUn%2FIacrdemsB9KrtOuRo%2FccaY%2Bs%2FSuIzime%2BcYuI7%2B%2Fg2nldjcm7YPCf32sIR8EflXc2916%2FDRMbztsRKDiQDL1ZKbK6YPHJppiQyVyRrrcCFD0X7tEf0D7QgK2DIpKnu8zGLzN4oAHn6xfHIgQnynrupcJbc9cga5AURtsRl7TfSM6XaGTtp1fNogyhUKX9f%2FYIL2pg03nlhLpRpDuqHpJ9qbbVsf%2FvboDHQ4IRRkiCaWH6GZwuTm%2FaXzTPIrAlVKH5%2F0RNaaExh%2Byw4VhHEEsSkHSs4mw%2BmNAKnW2FnWuldPRw5kn3j05dqhv5fkQxdp74JTYQe5wex1YN5PCok147bSKEuieYlIgH%2FiP9NY3Ym0ZRUWuo0zL40XWv9X3L1tLg%2BYWY0fCdhDKHGgTuesmbVajzEhu%2Bg9iWLptoK63cZ4UfO8oOd6sOc09XF6lBy%2BmD%2BSVmOfDWUOzz5ELD16slDTUwml0MZsttBoLDzldUc0olkl5nCAl23UqraiUXeaeW3yLOvJn%2BAD%2B%2FM6PvmZF0VzDn%2FdrWBjqlAVRsuTd0UsfPEqyKlBgBcSJTbWkHvSj10wzTCIqvOoZ3bz1TWza43iHLTCs7u%2FHmvoKE0qG5FTOsMYhLZb5XFdRretuo%2F1BjdoZt%2Fr0dHWGT4LLkmfYrkFclUq7u0pvMr6%2FR4I41ZYdCD3cWpGAcOrCQxKJukkkU%2Fx4O0IOnvZKvXzK4OISHe4XPgWQrnAJcSBOFX%2BXRwhpFbVXOOC%2BtEw%2BR3JTElw%3D%3D&X-Amz-SignedHeaders=host&X-Amz-Signature=76984abbd23aca3a771e67f5fffe47e1f1d9b2e14954c793a0ac2afe6b1829ab", "dday_video_url": "https://bookface-images.s3.us-west-2.amazonaws.com/video_event/65/1727459788-98ebaafc9e6edb74a44fb5c9ec779514/12927dbe517675b42c6befea3a26afaa.mp4?X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Credential=AKIAQC4NIECABPQ2AHNW%2F20261020%2Fus-west-2%2Fs3%2Faws4_request&X-Amz-Date=20261020T022720Z&X-Amz-Expires=3600&X-Amz-SignedHeaders=host&X-Amz-Signature=70d26199307862ba54e557629caf9cf94fbd10edf05281e911cc37dc2f89606d", "company_photos": [], "primary_partner": { "name": "Jared Friedman", "url": "https://www.ycombinator.com/people/jared-friedman" }, "founders": [ { "user_id": 1549881, "full_name": "Akshay Chalana", "title": "Founder/CEO", "founder_bio": "Co-Founder, CEO - Saphira AI\n - \nAutomating Safety+Systems Engineering: ex-Citadel (real-time trading workflow configuration), Apple (pb-scale dataset management for Siri and Vision Pro), Tesla (made sure batteries didn't explode in the heat of the sun), Meta (PyTorch/ONNX), Hyperloop (blew up and crashed pods)", "is_active": true, "linkedin_url": "https://linkedin.com/in/akshaychalana", "x_url": "https://twitter.com/ac2zoom", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/04ff32552fea0828ae6a9941bab65428a909eddc.jpg" }, { "user_id": 386679, "full_name": "Oscar Avatare", "title": "Founder/CTO", "founder_bio": "Saphira AI (S24)\n\nFormerly at Amazon and Twitter. \n\nPassionate about helping the next generation of innovative hardware companies build safe and compliant products faster. \n\nPer aspera ad astra. ", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/oavatare", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/9090e195ceea72a74d097cd17d7e29e029b90341.jpg" } ], "jobs": [ { "id": 72982, "title": "Founding Full-Stack Engineer", "url": "https://www.ycombinator.com/companies/saphira-ai/jobs/coBVUDL-founding-full-stack-engineer", "location": "San Francisco, CA, US / Remote (US)", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$100K - $150K", "equity_range": "0.50% - 2.00%", "experience": "6+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 72983, "title": "Founding Applied AI Engineer", "url": "https://www.ycombinator.com/companies/saphira-ai/jobs/xzdpKAm-founding-applied-ai-engineer", "location": "San Francisco, CA, US / Remote (US)", "type": "Full-time", "role": "Engineering", "role_type": "Machine learning", "salary_range": "$100K - $150K", "equity_range": "0.50% - 2.00%", "experience": "6+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 79326, "title": "Senior Industrial Functional Safety Engineer", "url": "https://www.ycombinator.com/companies/saphira-ai/jobs/kpoYQnd-senior-industrial-functional-safety-engineer", "location": "San Francisco, CA, US / Remote (US; DE)", "type": "Full-time", "role": "Engineering", "role_type": "Robotics", "salary_range": "$100K - $200K", "equity_range": "0.10% - 2.00%", "experience": "3+ years", "visa": "US citizenship/visa not required", "skills": [] }, { "id": 81814, "title": "Founding Account Executive - Enterprise Safety & Compliance (Hardware + AI)", "url": "https://www.ycombinator.com/companies/saphira-ai/jobs/dPGz0d4-founding-account-executive-enterprise-safety-compliance-hardware-ai", "location": "San Francisco, CA, US / Remote", "type": "Full-time", "role": "Sales", "role_type": null, "salary_range": "$100K - $150K", "equity_range": "0.50% - 1.00%", "experience": "6+ years", "visa": "US citizenship/visa not required", "skills": [] } ], "news": [], "launches": [ { "id": 82619, "title": "Saphira: Vanta for hardware", "tagline": "The easiest way to get safety certified.", "body": "**tl;dr: Hardware companies** use [Saphira](https://saphira.ai/) to easily **generate safety reports** and **get certified to sell** their product.\n\nWe’re [Oscar](https://www.linkedin.com/in/oavatare/) and [Akshay](https://www.linkedin.com/in/akshaychalana/), and we’ve built software for hardware and compliance at Twitter, Tesla, Amazon, and Hyperloop. \n\nWe’re making it really easy to get **UL, CE, ISO, and TÜV** certifications like **ISO 10218** and **ISO 26262** for hardware products.\n\n![](https://lh7-rt.googleusercontent.com/docsz/AD_4nXfgRUpv-5EuNnEHb2YIIuVzkGDYVFRp2ZwD4LryC9TKyufX-m6IO4V8qlC90YErv5esvNgJjWF-CXaxHa1OwaBKHuRCZarwEg_h8aBjzqPVt9kxFd-aQB_m8D_SL7nwOyiLf1k0h07SsyflNQUdd_184BAh?key=Migms48Dt65ISx6x08AVig)\n\n# What are safety certifications, and who needs them?\n\nBuilding **industrial machinery** that can hurt someone, like robot arms and autonomous trucks?  Your **customers will mandate** TÜV safety certification per particular ISO and IEC standards!  \n\nBuilding **small appliances** that plug into the grid?  Many **retailers won’t sell your product,** and **commercial buildings won’t install** it unless you’re UL or CE certified!  \n\nBuilding a **satellite or communication system**?  The **FCC won’t allow** it to operate without certification!\n\nBuilding **defense equipment** for the government?  **They won’t buy** it unless it’s compliant with the relevant MIL-STDs!\n\n# Why did we start Saphira?\n\nHardware products can’t get to market because teams **don’t know how to navigate the certification process**. Unlike SaaS, there are no tools like Vanta that tell you exactly what you need to test, change, and re-evaluate in your designs to pass audits. This sucks because every hardware company we talk to gets stuck in **rework cycles** with their consultants and auditors that they call **“horrendous and intimidating”** (real customer quote).\n\nWe've seen this at Amazon and Tesla, where engineers don't know when a change breaks certification. Each iteration requires them to work with consultants to understand what broke, lengthening the time to launch.\n\nWe created Saphira to empower these innovators to **rapidly** build complex products **that actually work**, all while achieving and maintaining compliance with the **evolving regulatory landscape**.\n\n# What does Saphira do?\n\nSaphira tells you exactly what you need to account for in your **design and testing** to **achieve and maintain** hardware safety certification and compliance. We’re a centralized data source for the **requirements, tests, and standards** that are relevant to your product, making it straightforward to **identify and triage safety and compliance risks** without wasting months of time and thousands of dollars on **slow safety consultants**.\n\nSaphira automates **traceability**: regulatory reports by engineers that prove that requirements like “the robot arm won’t shock an attendant if touched while in motion” were implemented and validated. These reports are **painful and tedious** to produce. By maintaining references to all necessary source information, Saphira can automatically generate these reports, and even automatically identify which additional standard clauses are relevant to each requirement or design value.\n\n![](https://lh7-rt.googleusercontent.com/docsz/AD_4nXfaxD8bMvNCW5gDewAe4uowrZviZqV3i00DsW2NM-2eVsuZCkRj_4t0oGKIJljGp0GTnS_AFmLlm1qLNUF4teYn5VTi6ZDyM1HtM1Vl56x3t0O4AKTWSq6FtmddRQWAtpes92noQLkImJgftBhWOqOKmWf0?key=Migms48Dt65ISx6x08AVig)\n\n# Who is Saphira for?\n\nSaphira is for engineers at hardware organizations of any scale and size:\n\n* The **safety engineering team** at an industrial robotics company can use Saphira’s **compliance report generator** (i.e. ISO-12100 and ISO-10218) to **achieve certification** to operate in the US.\n* An **engineering leader** at a hardware startup that needs UL certs to sell to more customers can use Saphira to speed up their process by months by avoiding hiring a slow safety consultant. \n* A **systems engineer** at an aerospace/defense company can use Saphira’s **AI tooling** to understand **how various military and government standards** (such as MIL-STD-810 or ISO-26262) are relevant to each facet of their specs and models.\n\n# Ask\n\n* We are experts in certifications for hardware companies.  If you think you might need this but aren't sure how to approach it, we are happy to help for free — [just reach out](mailto:akshay@saphira.ai).\n* If you know other engineering leaders seeking to improve their certification processes, [connect us](mailto:akshay@saphira.ai)! We are most interested in talking to leaders in industrial robotics, energy systems, autos, aeros, and defense. \n* If you worked at a larger hardware company before and saw any of these issues, we would love to talk just to learn from your experience\n* We would love product feedback: [book a demo](https://calendly.com/ac2zoom/30min)!", "url": "https://www.ycombinator.com/launches/LUZ-saphira-vanta-for-hardware", "votes": 81, "created_at": "2024-07-31T18:47:18.084Z" }, { "id": 81405, "title": "Saphira AI - Orchestrating safe hardware engineering", "tagline": "Intelligent engineering design management for safety-critical products", "body": "**tl;dr:** We capture **requirements and design** in a central platform so that safety for complex physical products can be continuously evaluated: a simple and easy-to-use alternative to Jama or IBM DOORS.\n\nWe’re [Oscar](https://www.linkedin.com/in/oavatare/) and [Akshay](https://www.linkedin.com/in/akshaychalana/), and we’ve built hardware controls and virtualization for Tesla, Amazon, and Hyperloop. We’ve blown up prototypes and fried lasers by not applying effective system design and are building tools to make it easier to prevent such failures.\n\n![uploaded image](/media/?type=post&id=81405&key=user_uploads/1549881/efe6234d-8f86-4d19-b499-4fc3380514eb)\n\n# Why did we start Saphira?\n\nWhile building Hyperloop pods, we struggled with unusual and novel constraints: we had to take the propulsion, braking, and electronics of a sophisticated train and make them work perfectly in a vacuum chamber. Basic things that work in the normal world just didn’t there: network activity was severely throttled so remote control and telemetry were difficult, and electronics would arc more easily, requiring additional protections. This mandated that we put together clear **product requirements** that we needed to integrate and validate across the entire implementation stack, which turned out to be so hard that we struggled to get our pods working in time and faced weeks of all-nighters just to fail review and be barred from the race!  \n\nSince then, we’ve been searching for how large organizations we’ve been part of, like Tesla and Amazon, have made this easier: in truth, they haven’t! The most mature, most established industries, such as aerospace, account for this with **process**: intensive modeling, documentation, and data entry that **innovators don’t have time for**. When regulation and certification standards are put in place, **products are taken off the market or endure years-long delays**. \n\nWe created Saphira to empower these innovators to rapidly build complex products **that actually work**, all while achieving and maintaining compliance with the **evolving regulatory landscape**.\n\n![](https://lh7-us.googleusercontent.com/docsz/AD_4nXc5i1avhrYfKOrHWzQzEyt6C88KBCZnFtCGL4YRw6nTaPipxU2-cXEpcxY4d9qHtMD0sO84I2xragUNrmUAdAju9BAD-HWgoS54BIUZX2U-bNV4n_cv0WnQwgnTq-zsSdo5Vf-6L6h8SJ0dKuJoPWOEygG3?key=Ebyb5ZyTMv3M7lBQpS9B7Q)\n\n# What does Saphira do?\n\nSaphira is a **single source of truth** where requirements, architecture, and tests can all be entered, parsed from existing documents, and tied together so that safety risks are identified and triaged quickly.\n\nSaphira is the easiest way to demonstrate **traceability**: regulatory reports by engineers that prove that requirements like “the Hyperloop pod must not catch fire in a vacuum chamber” were implemented and validated. These reports are painful and tedious to produce: by maintaining references to all the source information for them, Saphira can automatically generate them! Most importantly, Saphira removes systems engineers as a bottleneck to updating foundational engineering data, enabling any engineer to model and report on safety and compliance, making traceability easy for any fast-moving team.\n\n![](https://lh7-us.googleusercontent.com/docsz/AD_4nXe_cgZGZGZLN8qYxQsHQhSKZbvtyL0vH1UGAAEu8uQr02TBKvptPzordelrm_y0Ltrns4l7GOCUsEjQYy1F8l1igdLtVx85IywthG9bRGS6CsAQI9zTzAVYbLV6aIdKlFwj64DEsu2_hGe-PMGeew_SbAl2?key=Ebyb5ZyTMv3M7lBQpS9B7Q)\n\nUltimately, we see traceability as not just a regulatory requirement but an enabler for automated engineering: as engineers define the relationships we use to sync data between, say, their codebase and task management system, this can be used to automatically propagate changes across an entire system! For example, one could change the requirement for a motor to produce 200 Nm of torque to 300 Nm: since they had linked this through a formula in Saphira to the current draw requirement from the battery, we would automatically update that in the power distribution PCB schematics, short-circuiting hours of work per change!\n\n# Who is Saphira for?\n\nSaphira is for engineers at innovative companies designing and building safety-critical hardware and software systems at organizations of any size:\n\n* The **safety engineering team** at an industrial robotics company can use Saphira’s **compliance report generator** (i.e. ISO-12100 and ISO-10218) to **achieve certification** to operate in the US a year faster than it otherwise would be able to.\n* A **systems engineer** at an AV startup can use Saphira’s test management framework to perform **release safety reviews** 50% faster and double their pace of software iteration.\n* The **head of hardware** responsible for **writing product requirements** at an energy startup that makes residential batteries can use Saphira’s **AI tooling** to parse design documents and generate supplier specifications in half the time to get faster quotes from prospective manufacturers and ship to customers sooner.\n\n# Ask\n\n* If you are seeking an engineering/application lifecycle management, requirements management, or systems engineering tool for your hardware company, [let’s talk](mailto:akshay@saphira.ai)!\n* If you know other engineering leaders seeking to improve their processes, [connect us](mailto:akshay@saphira.ai)! We are most interested in talking to leaders in industrial robotics, energy systems, autos, aeros, and defense. \n* If you worked at a larger hardware company before and saw any of these issues, we would love to talk just to learn from your experience\n* We would love product feedback: [book a demo](https://calendly.com/ac2zoom/30min)!", "url": "https://www.ycombinator.com/launches/LAz-saphira-ai-orchestrating-safe-hardware-engineering", "votes": 113, "created_at": "2024-06-10T15:48:04.873Z" } ] }, { "id": 29740, "name": "Redouble AI", "slug": "redouble-ai", "former_names": [ "Deconvolute AI" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/20753f897b891239d8d377fd61dc4c2f58e6523d.png", "website": "https://redouble.ai/", "all_locations": "New York City, NY, USA; Remote", "long_description": "At Redouble AI we have developed Silverlake, a Java-native agentic AI operating system for enterprise. While other AI solutions force enterprise stakeholders to embrace unfamiliar concepts in an unfamiliar language, we do the opposite: we slot agentic AI right into the enterprise comfort zone - by mapping all agentic concepts onto established enterprise primitives in their own language, their own security model, their own infrastructure. It’s like moving from Bitcoin to Stablecoin, just for agentic AI. \r\n\r\nWhen we did YC we realized there was no framework or platform that gave us as enterprise and workflow automation veterans what we needed to build truly secure, reliable, and scalable agentic solutions for mission-critical workflows. That’s why we spent the past 18 months building Silverlake from the ground up. \r\n\r\nWe empower the 12 million Java engineers worldwide to write and deploy their own AI, securely, at scale. They define an agent in a few lines of code, and our platform does everything else, from orchestration to permission control, from auditability to rate limiting, from long-running agents to autonomous coordinated networks that perform the work of entire departments. \r\n\r\nSilverlake has been developed with design partners across biopharma, insurance and financial services. For example, our agentic workflows write submission-ready Clinical Study Reports that are hundreds of pages long, analyze entire datarooms full of financial and operational data for private equity investors, and automate claims processing for a large insurance player. \r\n\r\nWe are backed by Y Combinator, Exponential, Transpose Platform, Tiny VC, and the Oxford Seed Fund and advised by Java inventor James Gosling and automation guru Professor Christian Terwiesch. ", "one_liner": "Java-native multi-agentic AI operating system for enterprise", "team_size": 3, "industry": "B2B", "subindustry": "B2B", "launched_at": 1724701202, "tags": [ "Generative AI", "B2B", "Workflow Automation", "Enterprise", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2024", "status": "Active", "industries": [ "B2B" ], "regions": [ "United States of America", "America / Canada", "Remote", "Fully Remote" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/redouble-ai", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2024/redouble-ai.json", "year_founded": 2024, "city": "New York City", "country": "US", "linkedin_url": "https://www.linkedin.com/company/redouble-ai", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/20753f897b891239d8d377fd61dc4c2f58e6523d.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": null, "founders": [ { "user_id": 1897636, "full_name": "Martin Bittner", "title": "Founder/CEO", "founder_bio": "Martin Bittner is a serial entrepreneur in AI and automation for complex enterprise workflows. Before co-founding Redouble AI, he was the CEO of Arctoris, a successful pharma workflow automation company which he co-founded and led from inception to scale. In terms of background, Martin obtained his MD from the University of Freiburg in Germany, his DPhil in Oncology as a Rhodes scholar at the University of Oxford, and his MBA from The Wharton School. ", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/marbit/ ", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/1b47562b3f5573a152567d5c0da70d75bb8820d5.jpg" }, { "user_id": 1959127, "full_name": "Andrey Santrosyan", "title": "Founder/CTO", "founder_bio": "Andrey has spent 25 years in data and software engineering across Novartis and several startups. Specializing in devising and executing holistic data and software strategies, he led the development of over 120 software, data and AI applications, contributing to the successful market introduction of seven pharmaceutical products", "is_active": true, "linkedin_url": "https://linkedin.com/in/santrosyan", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/71112602568ae03373f9ba977e85b328a8e6a13c.jpg" } ], "jobs": [], "news": [ { "title": "The Workflow Control Plane: Why Identity Isn't Enough for Zero Trust Agentic Systems", "url": "https://papers.ssrn.com/sol3/papers.cfm?abstract_id=6714738", "date": "May 11, 2026" }, { "title": "The Golden Five: Non-Negotiable Security Rules For Your Agentic AI", "url": "https://www.forbes.com/councils/forbestechcouncil/2026/04/24/the-golden-five-non-negotiable-security-rules-for-your-agentic-ai/", "date": "Apr 23, 2026" }, { "title": "Why GenAI Pilots Often Fail To Scale To Production", "url": "https://www.forbes.com/councils/forbestechcouncil/2025/12/29/why-genai-pilots-often-fail-to-scale-to-production/", "date": "Dec 28, 2025" }, { "title": "Five Learnings To Successfully Move AI From Pilot To Production", "url": "https://www.forbes.com/councils/forbestechcouncil/2025/10/23/five-learnings-to-successfully-move-ai-from-pilot-to-production/", "date": "Oct 22, 2025" } ], "launches": [ { "id": 101524, "title": "Silverlake: The Java-native agentic AI operating system for enterprise", "tagline": "Mapping agentic concepts onto established enterprise primitives", "body": "Hey YC! \n\nWe're [Martin](https://www.linkedin.com/in/marbit/) and [Andrey](https://www.linkedin.com/in/santrosyan/) from [Redouble AI](https://redouble.ai/). We have spent our entire careers in workflow automation in highly regulated industries - and just launched **the first agentic AI operating system for enterprise in Java**. \n\nOur launch video:\n\n\n\n# ❌ **The Problem**\n\nEvery large company’s Board wants agentic AI deployed yesterday - but **the Java engineers in the enterprise who are supposed to deliver these AI solutions can’t just abandon their stack and security model and instead adopt paradigms that go against their most fundamental engineering principles**. Put differently: no enterprise Java engineer will ship production AI in Python - the cultural and engineering mismatch is too deep. In mission-critical workflows, you can’t rely on system prompts as “guardrails”, you can’t rely on only having rudimentary permission control, you can’t rely on data being moved outside of your premises. \n\n![uploaded image](/media/?type=post&id=101524&key=user_uploads/1897636/4022bdd2-26fd-4cf9-b327-9e88da4578e0)\n\n# **✅ The solution**\n\nThat is why we developed **Silverlake**, a Java-native AI operating system that **maps every single agentic concept and concern onto an established enterprise primitive**. Think of Bitcoin: it was a new technology, it was scary, and there was absolutely no way a bank would move its deposits into Bitcoin. But then, we got Stablecoins - mapping the new technology onto the familiar primitive of the US Dollar. And now, trillions of dollars are routinely being moved in Stablecoins, and it’s part of everyday finance. We do the same thing for agentic AI, slotting it right into the enterprise comfort zone.\n\n![uploaded image](/media/?type=post&id=101524&key=user_uploads/1897636/416be4ec-9e0c-4079-b26c-2f3895d80ce1)\n\n**For example**, agent identity is the existing identity layer, extended. Agent audit is the existing audit framework, extended. Same for orchestration, permissions, rate limiting, observability, fault tolerance. \n\nWith Silverlake **we empower the 12 million Java engineers worldwide to develop and deploy agentic solutions for their companies in a code-first platform**. They define an agent in a few lines of code, and Silverlake takes care of everything else, giving Java engineers the same granular control over their AI as they have over any other production system.\n\n![uploaded image](/media/?type=post&id=101524&key=user_uploads/1897636/3b4e29b9-5650-49dd-8666-3af5c376785a)\n\nIn technical terms, **Silverlake offers**:\n\n* **Deployment** in private cloud, managed cloud, on premise, hybrid or even air-gapped environments\n* Seamless **connectivity** across the entire enterprise tech stack\n* True Zero Trust, **security-first architecture** with RBAC+ABAC permissions\n* **Deterministic guardrails** enforced in code, impervious to prompt manipulation\n* **Resource management** across operations that differ by orders of magnitude (from milliseconds to minutes)\n* **Hardware and token use optimization** enabling thousands of concurrent agents even on modest hardware\n* **Incorruptible domain objects** enabling deep chains of specialized and long-running agents\n* **Full audit trails** with complete job lineage and structured reasoning on every AI decision\n* Continuously **learning from your experts while in production**\n\n# **💡 Examples**\n\nSilverlake has been **developed with design partners across biopharma, insurance and financial services**. For example, our agentic workflows write submission-ready Clinical Study Reports that are hundreds of pages long, analyze entire datarooms full of financial and operational data for private equity investors, and automate claims processing for a large insurance player, from extracting data from a faxed form to comparing against the policy in place and doing full coverage determination, benefits explanation, etc. The possibilities are endless. And as it’s all plain Java, every new deployment organically generates expansion within the organization - one engineering team automates a workflow, the team next door jumps on board, and it scales by itself from there.\n\n![uploaded image](/media/?type=post&id=101524&key=user_uploads/1897636/6520cdfc-89d5-4bff-94f3-604b2df11da2)\n\n# **❓Why Java?**\n\n**12 million Java engineers run the world's enterprise infrastructure**. Python is the language of data science - rightfully so - but production agentic systems have far more in common with enterprise software than with a Jupyter notebook. Same transaction management, same permission enforcement, same deployment pipelines, same monitoring - and Java has been solving these problems for 30 years. There are great Java AI frameworks out there, but none that tackle the production infrastructure challenges - resource orchestration, deterministic security, observability at scale. That's what we built with Silverlake.\n\n# **👫 The team**\n\n**We have spent our entire careers automating complex enterprise workflows**: [Martin](https://www.linkedin.com/in/marbit/) (CEO) is a Rhodes scholar, Oxford PhD, and Wharton MBA turned serial entrepreneur who previously founded and scaled a pharma workflow automation company closing millions in enterprise deals; [Andrey](https://www.linkedin.com/in/santrosyan/) (CTO) has developed more than 120 enterprise software and AI applications in a 25 year career across large enterprise and several startups. We are backed by Y Combinator, Exponential, Transpose Platform, Tiny VC, and the Oxford Seed Fund and advised by Java inventor James Gosling and automation guru Professor Christian Terwiesch. \n\nWe'd love your support - follow us, share us, work with us, or just say hi.\n\nYou can reach us at [founders@redouble.ai](mailto:founders@redouble.ai) and \n\n[Book a Demo](https://calendly.com/d/cqhn-9ft-kzq/redouble-ai-demo)\n\n![uploaded image](/media/?type=post&id=101524&key=user_uploads/1897636/f59f68cb-20ac-49be-a0d5-aaa204ce600a)\n\n", "url": "https://www.ycombinator.com/launches/QPU-silverlake-the-java-native-agentic-ai-operating-system-for-enterprise", "votes": 10, "created_at": "2026-05-19T15:14:55.606Z" } ] }, { "id": 29751, "name": "Opslane", "slug": "opslane", "former_names": [ "TBD", "Opslane", "Octopipe" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/2f632f905565346c94d60925b5fcc1728cf28368.png", "website": "https://opslane.com", "all_locations": "San Francisco, CA, USA", "long_description": "Opslane catches the bugs code review misses. On every PR, it runs your app against test versions of the services it calls, from Stripe to the LLM. Then it tries what breaks in production: a service failing, two requests at once, a restart mid-job.", "one_liner": "Catch bugs that code review tools miss", "team_size": 1, "industry": "B2B", "subindustry": "B2B -> Infrastructure", "launched_at": 1721925789, "tags": [ "Developer Tools", "Open Source", "Enterprise", "DevOps", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2024", "status": "Active", "industries": [ "B2B", "Infrastructure" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/opslane", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2024/opslane.json", "year_founded": 2024, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/opslaneinc", "x_url": "", "fb_url": null, "cb_url": null, "github_url": "github.com/opslane", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/2f632f905565346c94d60925b5fcc1728cf28368.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": null, "founders": [ { "user_id": 230654, "full_name": "Abhishek Ray", "title": "Founder/CEO", "founder_bio": "Co-founder @ Opslane. \n\nAbhishek was an early engineer at Robinhood and Quora. He was at Robinhood for 5 years where he helped scale infrastructure from ~1M to 20M+ customers. He saw firsthand how challenging incident response can be when critical information is spread across 6 different observability tools.", "is_active": true, "linkedin_url": "https://linkedin.com/in/abhishek-ray-29210145", "x_url": "https://twitter.com/abhishekray07", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/93e52b105731f064e9682974b7c5ad2b3332f869.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 82453, "title": "Opslane – Making on-call suck less", "tagline": "We reduce alert fatigue for on-call teams.", "body": "**TL;DR**\n\nOur [Slack bot](https://github.com/opslane/opslane) classifies your Datadog alerts and flags noisy alerts, reducing alert fatigue.\n\nAdditionally, we generate insights based on all your alerts to give you a picture of your overall alert hygiene.\n\n### The Problem\n\n**Picture this:** It's 3AM, and you're woken up by a page. It's an error you've seen before, and you know it wasn't worth waking up for.\n\nAnyone who's been on-call knows the infamous middle-of-the-night unactionable alert all too well.\n\nEven with modern tools, it's still tough to determine when something has actually gone wrong, the user impact, and how to fix it quickly.\n\n**Why are existing solutions not cutting it?**\n\n* Lack of context - it's really hard to understand the customer and business impact from looking at an alert.\n* Alerts are noisy and not actionable.\n* Debugging requires context switching between multiple siloed tools.\n\n### Our solution\n\nWe're starting with our open source Slack bot that reduces alert noise.\n\nOnce you add our bot to your Slack channel, we pull your alert history from Datadog.\n\nWe analyze your alert history across various parameters:\n\n* Alert frequency\n* How quickly have the alerts resolved in the past\n* Alert priority\n* Alert response history\n\nBased on these, we classify your alert as actionable or noisy.\n\n![User-uploaded](https://slabstatic.com/prod/uploads/s97i19pj/posts/images/6P01k6pFnPq5repaabLC5_-G.png)\n\nIn addition, we generate a report on your team's overall alert health, pinpointing which noisy alerts are prime candidates for tuning or disabling.\n\n![User-uploaded](https://slabstatic.com/prod/uploads/s97i19pj/posts/images/1e4X0_iAo7eLJh7PLEo1oZoS.png)\n\nOur vision is to stitch together all the relevant context engineers need to debug incidents in one place and automate root cause analysis.\n\n### Team\n\n![uploaded image](/media/?type=post&id=82453&key=user_uploads/6530/ba62e789-6ccf-4b5c-a555-90e5c932d81c)\n\nWe ([Amaresh](https://linkedin.com/in/amareshray/) and [Abhishek](https://linkedin.com/in/abhishek-ray-29210145)) have firsthand experience dealing with the challenges of on-call and alert fatigue at companies like Robinhood and Atlassian. With Opslane, we’re reducing the alert fatigue that overwhelms on-call engineers and leads to millions in lost productivity and downtime.\n\n### Ask\n\n🔥 Are noisy alerts a hair-on-fire problem for your company or someone you know? We'd love to hear from you - email [founders@opslane.com](mailto:founders@opslane.com) or [schedule a call](https://cal.com/team/opslane/demo) with us.\n\n⭐ Please star us on Github: ", "url": "https://www.ycombinator.com/launches/LRt-opslane-making-on-call-suck-less", "votes": 10, "created_at": "2024-07-26T14:59:47.999Z" } ] }, { "id": 30018, "name": "Galini", "slug": "galini", "former_names": [ "SyncedTeam" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/0265bae051699223c11948f14b6032d7772f3b7a.png", "website": "https://www.galini.ai/", "all_locations": "San Francisco, CA, USA; Remote", "long_description": "Galini guardrails-as-a-service filter harmful inputs and outputs based on company policies and industry regulations. We make it easy for enterprises to create, test, deploy and refine guardrails.\r\nWith Galini, product and engineering leaders enjoy peace of mind knowing their AI apps are compliant at run-time, and save $1-10M in costs from avoiding in-house build", "one_liner": "Compliance guardrails-as-a-service for AI applications", "team_size": 2, "industry": "B2B", "subindustry": "B2B", "launched_at": 1730260242, "tags": [ "SaaS", "B2B", "Compliance", "Enterprise", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Fall 2024", "status": "Active", "industries": [ "B2B" ], "regions": [ "United States of America", "America / Canada", "Remote", "Fully Remote" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/galini", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2024/galini.json", "year_founded": 2024, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/galini-ai/", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/0265bae051699223c11948f14b6032d7772f3b7a.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Diana Hu", "url": "https://www.ycombinator.com/people/diana-hu" }, "founders": [ { "user_id": 2208234, "full_name": "Shaun Ayrton", "title": "Founder/CEO", "founder_bio": "Cofounder and CEO of Galini. Prior to Galini, Shaun was a sr. engagement manager at McKinsey where he drove $500M+ revenue growth for F50 software and telecom companies. He developed the GTM plan from pre launch to $1B in revenue for a conversational AI leader and drove an additional $50M in annual revenue for a regional telco while the industry is declining at 3%, each acquired for ~$20B. He has an MBA from Wharton and a dual degree in computer science and Finance at UPenn (M&T)", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/shaun-ayrton/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/07acf3ccfb516ecfe635e309d6f49537649b4803.jpg" }, { "user_id": 1505214, "full_name": "Raul Zablah", "title": "Founder/CTO", "founder_bio": "Cofounder and CTO of Galini. Prior to Galini, Raul was a sr. staff engineer at Ridgeline where he built the SRE team from 0 to 10 supporting 10x customer growth in 12 months (reporting to the CTO for a 350 engineer org). Before this, he was the tech lead for the SRE team responsible for $175B AUM investment engine at Bridgewater where he built the team from 0 to 6 and established SRE best practices for an org of 300 engineers. He has a masters in computer science and dual degree from UPenn", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/raulzablah", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/bf7c532c95edd3153d713d0b077e8ebb211ef4e7.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 85206, "title": "Galini - Compliance guardrails for AI applications", "tagline": "Ensure AI applications comply with company policies and regulation", "body": "Hey everyone, we’re [Shaun](http://www.linkedin.com/in/shaun-ayrton) and [Raul](https://www.linkedin.com/in/raulzablah/) - cofounders of Galini.\n\n# TL;DR\n\nGalini guardrails filter harmful inputs and outputs based on company policies and industry regulations. We make it easy for companies to create, evaluate, deploy and monitor guardrails.\n\nWith Galini, product and engineering leaders enjoy peace of mind knowing their AI apps are compliant at run-time, and save $1-10M from avoiding an in-house build.\n\n**Ask:** If you are building or using AI applications, let us take run-time compliance off your plate. Email [founders@galini.ai](mailto:founders@galini.ai) or please refer us to others who may need this.\n\nWatch our demo [here](https://youtu.be/2luqEuXK-34)\n\n# ❌ The Problem:\n\nCompliance and trust are major barriers to scaling AI, with [one in two executives fearing reputational damage.](https://www.complianceweek.com/surveys-and-benchmarking/deloitte-survey-ai-adoption-raising-concerns-about-trust-reputational-damage-ethics/35411.article)\n\n**Ignoring the problem does not make it go away:** A staggering [44% of organizations](https://www.mckinsey.com/capabilities/quantumblack/our-insights/the-state-of-ai) have reported negative consequences from using AI chatbots and assistants.\n\n**The cost of non-compliance is rising:** Fines of [7% annual revenues (or 35M EUR)](https://artificialintelligenceact.eu/article/99/#:~:text=Non%2Dcompliance%20with%20the%20prohibition,financial%20year%2C%20whichever%20is%20higher.) for non-compliance with EU AI Act; [similar regulations are fast approaching in the US.](https://www.cnet.com/tech/services-and-software/biden-administration-wants-ai-guardrails-heres-its-call-to-action/)\n\n**Companies are not ready:** Only 6% feel ready to accommodate these changes, while [80% are committing](https://www.accenture.com/us-en/insights/artificial-intelligence/ai-compliance-competitive-advantage) 10%+ of their AI budgets to compliance.\n\n![uploaded image](/media/?type=post&id=85206&key=user_uploads/2208234/45bf4fb3-686e-4532-baf9-c53860dcc7dd)\n\n# ✅ Use cases:\n\nMost customer- or employee-facing AI applications require guardrails:\n\n* **Search:** Block non-compliant queries and prevent exposing sensitive or proprietary information to users.\n* **Chatbots:** Ensure responses are accurate and compliant with company policies.\n* **Assistants:** Stop misleading advice in violation with company policies that could cause negative PR or legal risks.\n* **Agents**: Control scope and prevent unauthorized actions or transactions.\n* **Recommendation engines**: Filter outputs to avoid biased, irrelevant or offensive suggestions that damage brand trust.\n* **Decisioning systems**: Ensure automated decisions (e.g., loan approvals, hiring) meet regulatory standards and prevent discriminatory outcomes.\n\nNo enterprise-grade guardrail solutions exist today. Companies **incur $1-10M+ in costs annually** **and 6-12 months in delays** building guardrails in-house.\n\n# 🎯 The Solution: Galini to the rescue\n\n**Galini’s guardrail as-a-service** enforces runtime compliance with four core modules:\n\n1. **Build** custom guardrails based on your company’ policies\n\n ![uploaded image](/media/?type=post&id=85206&key=user_uploads/2208234/f5e3d2be-886f-4484-88e5-77111e897e12)\n\n2. **Evaluate** your guardrails using Galini’s synthetic test generator and evaluation engine\n\n ![uploaded image](/media/?type=post&id=85206&key=user_uploads/2208234/d28cc55e-38e2-404b-a4bb-5bd58c55eba8)\n\n3. **Deploy** into your app in seconds with our API\n\n ![uploaded image](/media/?type=post&id=85206&key=user_uploads/2208234/11fdf98c-af88-4e65-a58a-329b974a0634)\n\n4. **Monitor** and improve performance by providing feedback to Galini’s agent\n\n ![uploaded image](/media/?type=post&id=85206&key=user_uploads/2208234/449d0e40-e5f7-4475-aa95-11b9c48bc04f)\n\n\n# 🙏 Our ask:\n\n* Follow us on [LinkedIn](https://www.linkedin.com/company/galini-ai/), and [book a demo](https://www.galini.ai/get-started) with our team\n* **Share this post!** Do you know product and engineering leaders in regulated industries like finance, healthcare, education and public safety? Please share this post; we’ll save them 1000+ hours in dev costs and many sleepless nights!\n* Learn more at [Galini.ai](http://Galini.ai) Please reach out to [founders@galini.ai](mailto:founders@galini.ai)\n\n# 🤝 The team:\n\n[Shaun Ayrton](http://www.linkedin.com/in/shaun-ayrton) (CEO) – A former McKinsey leader, Shaun drove $500M+ in revenue acceleration at leading global software and telecom clients. He witnessed firsthand how companies struggle to manage the risks of AI deployment.\n\n[Raul Zablah](https://www.linkedin.com/in/raulzablah/) (CTO) - As a former senior staff engineer, Raul has built and scaled industry-leading enterprise platforms at Bridgewater, Morgan Stanley and Ridgeline and has published papers in the field. His specialization is SRE and making technology work securely and reliably at enterprise scale.\n\nShaun and Raul met on their first day at UPenn’s M&T program in 2011 and have been dear friends since.\n\n![uploaded image](/media/?type=post&id=85206&key=user_uploads/2208234/d3560988-4030-4c4c-a92b-a2df234d429d)\n\n", "url": "https://www.ycombinator.com/launches/MAI-galini-compliance-guardrails-for-ai-applications", "votes": 485, "created_at": "2024-11-01T01:26:08.182Z" } ] }, { "id": 30054, "name": "CTGT", "slug": "ctgt", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/bcc702434416a96306d0394fd2a0226a38a87e98.png", "website": "https://www.ctgt.ai/", "all_locations": "San Francisco, CA, USA", "long_description": "CTGT is an applied AI research laboratory fundamentally solving the alignment and reliability bottleneck for enterprise AI.\r\n\r\nFor enterprises, especially highly regulated industries, deploying Generative AI is historically a compromise between capability and catastrophic risk. Standard enterprise approaches, such as RAG, fine-tuning, and prompt engineering, operate at the wrong abstraction layer. They are inherently probabilistic, carry massive engineering overhead, and fail to deliver the mathematical certainty required by the Fortune 500.\r\n\r\nWe focus on the science of representation engineering and have productized mechanistic interpretability. By opening the \"black box\" of neural networks, CTGT has developed a proprietary architecture that intervenes directly at the model's representation layer. We convert complex corporate SOPs, SEC/FINRA regulations, and strict editorial rulebooks into machine-readable \"Policy as Code,\" enforcing deterministic constraints and defensible audit trails without requiring expensive model retraining.\r\n\r\nThe result is a step-function breakthrough in enterprise AI economics and capability. Our fundamental architecture allows organizations to run secure, self-hosted open-source models that mathematically match the reasoning and performance of frontier models. Benchmarks from our enterprise deployments demonstrate a 96.5% prevention of hallucinations, up to a 3.3× accuracy multiplier in complex domain-specific tasks, and an 80-90% reduction in human-in-the-loop manual review.\r\n\r\nBacked by an $8M seed round from Gradient Ventures (Google), General Catalyst, and Y Combinator, CTGT is currently deployed with Fortune 500 companies, including Tier-1 financial institutions and global media conglomerates, giving them the deterministic control necessary to deploy enterprise AI with zero margin for error.", "one_liner": "The deterministic layer for frontier intelligence", "team_size": 10, "industry": "B2B", "subindustry": "B2B -> Infrastructure", "launched_at": 1730040950, "tags": [ "B2B", "Enterprise", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Fall 2024", "status": "Active", "industries": [ "B2B", "Infrastructure" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/ctgt", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2024/ctgt.json", "year_founded": 2024, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/ctgt/", "x_url": "https://twitter.com/CTGTInc", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/bcc702434416a96306d0394fd2a0226a38a87e98.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/36369bb54ab962c38a244e4a541cc00977e1abc9.png" ], "primary_partner": null, "founders": [ { "user_id": 509591, "full_name": "Cyril Gorlla", "title": "Founder/CEO", "founder_bio": "Cyril left his research at Stanford at 23 to found CTGT. His work on efficient and interpretable AI was presented at AI conference ICLR while he held the Endowed Chair's Fellowship at the University of California San Diego. He is a Nordson Leadership Scholar and Ivory Bridges Fellow.", "is_active": true, "linkedin_url": "https://linkedin.com/in/cyrilgorlla", "x_url": "https://twitter.com/cyrilgorlla", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/43228029e306121385b2987128f3cb1f01f03dc1.jpg" } ], "jobs": [ { "id": 92244, "title": "Machine Learning Engineer: LLM Interpretability & Systems", "url": "https://www.ycombinator.com/companies/ctgt/jobs/QbKf46B-machine-learning-engineer-llm-interpretability-systems", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Machine learning", "salary_range": "$175 - $250", "equity_range": "0.50% - 1.00%", "experience": "1+ years", "visa": "Will sponsor", "skills": [] }, { "id": 93803, "title": "Senior Software Engineer", "url": "https://www.ycombinator.com/companies/ctgt/jobs/ZmmLekJ-senior-software-engineer", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Backend", "salary_range": "$175K - $250K", "equity_range": "0.50% - 1.00%", "experience": "3+ years", "visa": "Will sponsor", "skills": [] }, { "id": 93804, "title": "Senior Software Engineer, Platform", "url": "https://www.ycombinator.com/companies/ctgt/jobs/JtUiJzD-senior-software-engineer-platform", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Backend", "salary_range": "$175K - $250K", "equity_range": "0.50% - 1.00%", "experience": "3+ years", "visa": "Will sponsor", "skills": [] }, { "id": 93805, "title": "Senior Software Engineer, Product", "url": "https://www.ycombinator.com/companies/ctgt/jobs/gaXkJcv-senior-software-engineer-product", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Backend", "salary_range": "$175K - $250K", "equity_range": "0.50% - 1.00%", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 97519, "title": "Software Engineering Intern (Summer 2027)", "url": "https://www.ycombinator.com/companies/ctgt/jobs/b3hTkK4-software-engineering-intern-summer-2027", "location": "San Francisco, CA, US", "type": "Internship", "role": "Engineering", "role_type": "Backend", "salary_range": "$8K - $12K / monthly", "equity_range": "", "experience": null, "visa": "Will sponsor", "skills": [] }, { "id": 97530, "title": "Research Intern: Interpretability & Reliability (Summer 2027)", "url": "https://www.ycombinator.com/companies/ctgt/jobs/rN5ZtuG-research-intern-interpretability-reliability-summer-2027", "location": "San Francisco, CA, US", "type": "Internship", "role": "Science", "role_type": "Research", "salary_range": "$8K - $12K / monthly", "equity_range": "", "experience": null, "visa": "Will sponsor", "skills": [ "Machine Learning", "Deep Learning" ] } ], "news": [ { "title": "Y Combinator Startup CTGT Raises $7 Million From Google's Gradient - Business Insider", "url": "https://www.businessinsider.com/y-combinator-startup-ctgt-raises-seed-funding-round-gradient-ventures-2025-2", "date": "Feb 20, 2025" }, { "title": "Start-up company with UCSD roots seeks to eliminate ‘AI hallucinations’ – San Diego Union-Tribune", "url": "https://www.sandiegouniontribune.com/2024/11/08/start-up-company-with-ucsd-roots-seeks-to-eliminate-ai-hallucinations/", "date": "Nov 08, 2024" }, { "title": "How This Hyderabadi Founder Won Over Mark Cuban To Solve AI Hallucination", "url": "https://analyticsindiamag.com/ai-breakthroughs/how-this-hyderabadi-founder-won-over-mark-cuban-to-solve-ai-hallucination/", "date": "Nov 07, 2024" }, { "title": "CTGT aims to make AI models safer | TechCrunch", "url": "https://techcrunch.com/2024/10/29/ctgt-aims-to-make-ai-models-safer/", "date": "Oct 29, 2024" } ], "launches": [ { "id": 85166, "title": "CTGT - Accelerate AI Time to Market", "tagline": "Ensure AI is trustworthy + compliant, eliminate hallucinations, and deploy 10x faster.", "body": "We're building the future of trustworthy AI deployment. CTGT helps enterprises eliminate hallucinations and unwanted behavior in LLMs while dramatically accelerating time-to-production.\n\n[Utilizing CTGT's Platform for Model Evaluation and Monitoring 🚀 - Watch Video](https://www.loom.com/share/7e4948fa0ccf4256b2f7036ee8d7baf4)\n\n## **The Problem: “Black Box” of AI**\n\nThe status quo of deep learning involves throwing more compute at models with the expectation that they will achieve true intelligence. The questionable nature of this assumption aside, this will certainly lead to more complex models that we don’t meaningfully understand.\n\nI’ve been obsessed with AI and its potential to change the world since I was a kid. In high school, I took apart old laptops to eke out just a bit more performance to train models, so I’m exceedingly aware how important access to and understanding AI is. (For more background, check out the great piece [TechCrunch did on us](https://techcrunch.com/2024/10/29/ctgt-aims-to-make-ai-models-safer/).)\n\nEnterprise companies are sitting on powerful AI models but can't deploy them due to hallucinations and unpredictable behavior.\n\n* Healthcare providers can't risk medical chatbots giving dangerous advice\n* Financial firms need guarantees their AI won't recommend fraudulent investments\n* Tech companies need AI that consistently aligns with their brand voice\n\n## **Our Solution: Principled AI Development**\n\nCTGT takes a fundamentally different approach. Rather than black-box approximations, we've developed breakthrough technology that understands [how neural networks actually learn](https://openreview.net/forum?id=8WiNDyXgj6). \n\nThis allows us to:\n\n* Automatically detect and eliminate hallucinations\n* Train models 10x faster with 10x less compute\n* Give enterprises foundational control over AI behavior\n\nHow it works:\n\nLet’s imagine we ask an LLM about cooking food. \n\n_I started lunch by simmering water on the stove. I prepared dough for a homemade pizza dish. Using a knife, I sliced fresh tomatoes and cheese. I spread glue on the bread for tomorrow's breakfast. The dough rose in the oven. I brewed tea while stirring the soup with a spoon. A plate was set, and lunch was nearly complete. Every pot and utensil had its place._ \n\nWe can determine, for example, that pizza and bread is part of the “food” concept in the model, along with other related things in the output.\n\n \n\nAnd we can determine that “glue” shouldn’t be part of this concept.\n\n \n\nOur technology ensures “glue” doesn’t appear in queries regarding food, reducing hallucinations by 80-90%.\n\n \n\n## **Real Results with Fortune 10 Companies**\n\nWe're already helping major enterprises deploy AI with confidence:\n\n* Removed bias from facial recognition systems in one step\n* Eliminated investment advice hallucinations for portfolio managers\n* Enabled fraud detection LLMs with precise error identification\n\n## **The Team**\n\nFounded by UCSD researchers pushing the boundaries of AI:\n\n* Cyril Gorlla (CEO): Recipient of the Endowed Chair's Fellowship at UCSD. His work on efficient AI training was invited for presentation at ICLR and his talk at Ai4 was the most attended in its track. He collaborated with Intel on ML telemetry deployed on 8M+ CPUs. He was named one of 12 “2022 Shining Stars” at UCSD and is an Ivory Bridges Fellow and Nordson Leadership Scholar. He was advised by ACM and Amazon Fellow Mikhail Belkin.\n* Trevor (CTO): Deep learning researcher focused on high powered distributed ML systems under Hao Zhang, a student of Databricks Founder Ion Stoica, at UCSD.\n\n## **Why Now**\n\nLegacy companies and those without access to massive amounts of compute can greatly benefit from specialized, domain-specific AI. Current LLM interpretability methods are extremely inefficient, effectively rendering them inaccessible to the vast majority of companies. There’s a shift from large foundation models to those tailored to each company’s brand and applications. Our technology enables this future by making state-of-the-art AI accessible without massive compute resources.\n\n## **Interested in the Next Generation of AI?**\n\nBook a meeting at [ctgt.ai](http://ctgt.ai) if you're:\n\n* A regulated enterprise (healthcare/finance etc.) looking to safely deploy AI\n* Struggling with LLM hallucinations or slow iteration cycles\n* Want to reduce AI compute costs by 10x while improving reliability\n\n## **Looking For**\n\n* Introductions to enterprises bottlenecked by AI trust/reliability issues\n* Feedback from companies dealing with hallucination challenges\n* Technical talent passionate about principled AI development\n\nContact: [hello@ctgt.ai](mailto:hello@ctgt.ai) \n\nThe future of AI isn't just bigger models - it's smarter, more efficient ones you can trust. Let's build it together.\n\n![uploaded image](/media/?type=post&id=85166&key=user_uploads/509591/0cb2deae-2e96-46e2-936a-3d70ad737f71)\n\n", "url": "https://www.ycombinator.com/launches/M9e-ctgt-accelerate-ai-time-to-market", "votes": 58, "created_at": "2024-10-30T23:08:04.801Z" } ] }, { "id": 30077, "name": "AutoComputer", "slug": "autocomputer", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/5a60f5ba14460a149ec6587f93611a37f06bcb11.png", "website": "https://www.autocomputer.ai/", "all_locations": "San Francisco, CA, USA", "long_description": "We provide data research and post-training research services to help companies turn their traces into environments for evaluation and post-training.", "one_liner": "Forward Deployed Research Services", "team_size": 2, "industry": "B2B", "subindustry": "B2B", "launched_at": 1731450144, "tags": [ "Deep Learning", "B2B", "Enterprise", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Fall 2024", "status": "Active", "industries": [ "B2B" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/autocomputer", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2024/autocomputer.json", "year_founded": 2024, "city": "San Francisco", "country": "US", "linkedin_url": "", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/5a60f5ba14460a149ec6587f93611a37f06bcb11.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/afa95922f3049294dfc4cc148547a093162d9bf2.png" ], "primary_partner": { "name": "Diana Hu", "url": "https://www.ycombinator.com/people/diana-hu" }, "founders": [ { "user_id": 331625, "full_name": "Madhav Singhal", "title": "Founder/CEO", "founder_bio": "Researcher and engineer.\n\nBefore this, I worked at Replit and was one of the first engineers on its AI team where I led research and training for all of Replit’s code models, and worked on data infrastructure, Replit’s core AI services, and Replit Agent. ", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/ms337/", "x_url": "https://twitter.com/madhavsinghal_", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/9866cbe17c1919fe22e93f4ffed436e2f35b2eea.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 85524, "title": "AutoComputer - Zero setup AI automation for your computer", "tagline": "AI automation for your computer that predicts the next steps in your workflow, completing them with a single keystroke", "body": "AutoComputer helps you automate and accelerate workflows on your computer without any explicit configuration, while keeping you in-charge.\n\nWith just a prompt and your recent activity, our desktop AI system starts predicting the next sequence of actions – keystrokes, text input, mouse clicks – that you can keep accepting with a single keystroke. This saves you time and effort while providing you complete visibility and control over the completed tasks.\n\nWe’re starting with helping businesses and enterprises automate repetitive, but business-critical workflows such as financial data entry, record keeping, and transaction matching.\n\nWatch our demo video below to see AutoComputer in action!\n\n\n\n---\n\n\\\n \n\n## The Context\n\nAs engineers, we have tools like Github Copilot, Cursor and software engineering agents that help us accelerate and automate large swaths of our programming workflows with AI.\n\nHowever, outside programming, this is not the case. Many professionals in roles such as accounting, consulting and bizops have repetitive, critical workflows that they want to accelerate or automate with software, but they don’t yet have an ideal solution for this.\n\n---\n\n\\\n \n\n## The Problem\n\nBased on talking to these users, we learnt that the current generation of RPA and AI Agent-driven automation solutions for their workflows have 3 core issues:\n\n**Trust and Accountability**\n\nFor many tasks they need to ensure accuracy and take accountability. So RPA and Agents that just go off do the task for them are not a viable option. They **need full visibility and control** while the automation executes.\n\n**Configuration Complexity**\n\nReal-world workflows are complex and span multiple apps and files. Many solutions can’t handle them without the **heavy setup, onboarding, or migration required** with the current generation of RPA tools or AI agent-driven automation solutions.\n\n**Automation Flexibility**\n\nWorkflows change frequently across formats and tools and they want automations that can adapt on the fly without reconfiguration. Most **automations fail on the slightest variation** in data formats, schemas or sources introduced when they had new clients, cases and customers.\n\n---\n\n\\\n \n\n## The Solution\n\nWith just a prompt, our desktop AI system automates steps for any complex computer usage workflow that they can accept with a single keystroke. It makes repetitive but critical workflows such as financial data entry 2-5x faster, while providing complete visibility, control, and adaptability—all without requiring any setup, recording, or onboarding to a new platform.\n\nHere’s a how it works:\n\n1. The user opens the AutoComputer app on Windows/MacOS and provides a prompt for their task.\n2. AutoComputer understands the context of the task and comes up with a sequence of automated steps of mouse and keyboard input to complete the task.\n3. The user can simply evaluate and proceed through accepting the automated steps with a single key press, or correct or reject at the granular level without having to fix or re-run the whole workflow.\n\n![](https://lh7-rt.googleusercontent.com/docsz/AD_4nXdA-_EassCAkh3NIgYNUy0QtBbuSm3b7rDw_Wdv-gvjYtwkxNH8_TJV7Cwi3084NeHRmOA2ouoeQCVdtvbBRH1JwGpxj0zSDiSWS0MfGTMbXQWV_o0pD_ZyNPEksny-Vysd8TglgW7oVXIukQ71ePbewo7R?key=-egX7nlYaXVPDP4d-BBxFX_D)\n\n---\n\n\\\n \n\n## The Team\n\nWe are [Madhav](https://x.com/madhavsinghal_) and [Rick](https://www.linkedin.com/in/rick-sugden-4a427b180/).\n\nWe met at university \\~7 years ago while doing research in Physics. We have been friends and roommates and have hacked on multiple research and side projects together.\n\nRick recently dropped out of his PhD where he worked on training transformers on brain-wave data for diagnosis, and built the first at-home brain-tumour monitoring system which he patented.\n\nMadhav worked at Replit as one of the first engineers on the AI team where he led research and training for all of Replit’s models, and worked on data infrastructure, Replit’s core AI services and, most recently, Replit Agent.\n\nBased on our experience in AI research and building products like the Replit Agent, we believe that SOTA models are just crossing the threshold of capability where they can start usefully automating and accelerating large parts of knowledge work beyond just software engineering. We are building AutoComputer to realize this for ourselves and for our users.\n\n---\n\n \\\n \n\n## Our Ask\n\nIf you are an enterprise or a business with teams doing repetitive back office workflows like data entry, who can benefit from AutoComputer, reach out to us at: [founders@autocomputer.ai](mailto:founders@autocomputer.ai)\n\nIf you are an individual or employee who wants to use AutoComputer to accelerate your workflows, you can sign up for our waitlist on .", "url": "https://www.ycombinator.com/launches/MFQ-autocomputer-zero-setup-ai-automation-for-your-computer", "votes": 27, "created_at": "2024-11-13T04:55:55.020Z" } ] }, { "id": 30212, "name": "superglue", "slug": "superglue", "former_names": [ "index commerce", "index labs" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/0d8702327beeb6c4e9700c883d54481531ce4f3b.png", "website": "https://superglue.ai/", "all_locations": "BY, Germany", "long_description": "superglue learns how your systems work from your company's knowledge and performs the implementation that normally requires human coordination and engineering work.\r\n\r\nImplement NetSuite, Sage Intacct, SAP, Business Central or Acumatica in days. Agents map and migrate legacy data, configure the system, and keep data in sync post go-live.\r\nConnect ERP, CRM, databases, and internal systems to AI platforms like Claude. Create governed data access for AI agents and track data usage across your org.\r\nConnect customer systems, import historical data and get new integrations live in hours. Let agents manage the entire implementation process end-to-end.\r\n", "one_liner": "connect, migrate and implement enterprise systems", "team_size": 6, "industry": "B2B", "subindustry": "B2B -> Engineering, Product and Design", "launched_at": 1737761136, "tags": [ "Open Source", "API", "Enterprise", "Enterprise Software", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2025", "status": "Active", "industries": [ "B2B", "Engineering, Product and Design" ], "regions": [ "Germany", "Europe" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/superglue", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2025/superglue.json", "year_founded": 2024, "city": null, "country": "DE", "linkedin_url": "https://www.linkedin.com/company/superglue-ai/", "x_url": "https://x.com/superglue_d", "fb_url": null, "cb_url": null, "github_url": "https://github.com/superglue-ai/superglue", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/0d8702327beeb6c4e9700c883d54481531ce4f3b.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Tom Blomfield", "url": "https://www.ycombinator.com/people/tom-blomfield" }, "founders": [ { "user_id": 1344607, "full_name": "Adina Goerres", "title": "Founder/CEO", "founder_bio": "Building superglue. Previously worked on GTM at Scalable Capital and commercial projects at Farfetch. \nMaster's from TUM and CDTM", "is_active": true, "linkedin_url": "https://linkedin.com/in/adinagoerres", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/7932b8e0bb09ab91d8cc2fea13a8c28c8eaa1f0c.jpg" }, { "user_id": 2247582, "full_name": "Stefan Faistenauer", "title": "Founder/CTO", "founder_bio": "Building superglue, an open source tool to automate data transformation. Former Software engineer and Google APM with a master’s from Stanford.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/stefan-faistenauer/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/d0d1e1fd0231fdc4becb81cb5fe69f015e34c682.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 87434, "title": "superglue 🍯 - Open Source Data Translation", "tagline": "Get data from any system in exactly the format you need.", "body": "**Tl;dr** [superglue](https://superglue.cloud/) translates data from any system into exactly the format you need. It’s an open source proxy that automatically extracts, maps and transforms data so developers don’t have to write and maintain complex integration code. \n\n**Other tools say \"Use our API\". superglue says \"Use any API, in any way you want\".**\n\n[Find us on GitHub.](https://github.com/superglue-ai/superglue)\n\n![](https://lh7-rt.googleusercontent.com/docsz/AD_4nXejwKUtg5vNmIUFVD-naIZc3NVJVO4nIxzG1bVC5SkaA8g5JuhP7I9QWTBXPVCbKQdc6OY7bgFgVuJPf99JjYyBK3Y2TDpGG_ehUirAvBmANq8dkq9EpyY-72Dn56s6dW3LA6n82g?key=X6C0DCn4htyY5GQ3HDPmoqgF)\n\n# **Why it matters**\n\nMost companies struggle with data integration challenges daily. Energy providers pull meter readings from thousands of devices, fashion marketplaces standardize product data from various retailers, and fintech companies normalize transaction data across payment systems. Each system speaks its own language, forcing developers to write and maintain custom code to transform and normalize data. It's a massive waste of engineering resources and slows down business innovation.\n\n# **What we’re building**\n\n_superglue_ is an intelligent proxy server that automatically transforms data from external APIs into your desired format, eliminating the need for custom mapping code. By sitting between your application and APIs, it allows developers to define data structures once and apply consistent transformations across all integrations, turning complex data integration from a weeks-long project into a minutes-long configuration. The superglue proxy can sit outside your codebase - particularly good for legacy systems that are brittle and hard to change.\n\n**Key features**\n\n* **One-off LLM-powered translations**: Generate deterministic, high-performance translation code.\n* **Self-healing**: Detect format changes and update translations automatically\n* **Fast deployment**: Supports most APIs and data formats out of the box\n* **For enterprise**: Hosting, logging, retries, caches, access control\n\n## **Get Started**\n\n1. [Get access](https://superglue.cloud/) to our hosted version or install superglue as a lightweight local proxy\n2. Pick an API / data source to connect to\n3. Define your desired data output format\n\n![uploaded image](/media/?type=post&id=87434&key=user_uploads/1344607/34c24883-0af1-4dd0-89a7-4493b1913ddb)\n\n4. Let superglue handle transformations and schema enforcement\n\n![](https://lh7-rt.googleusercontent.com/docsz/AD_4nXfITHd_G-ZeA03HGoDOL8Oql_Jb4Pu50FWrLhRVldLEMgSyUN-cMsaY6T-Vx3xqEpyLz-6zWnejpU_1siA-1-LLX7okg-r2YqTaeDcU3xuAkAbgvGfWmVi4i-yyCVOuKaeQWGajlA?key=X6C0DCn4htyY5GQ3HDPmoqgF)\n\n\n\n**How is this different from connector platforms and unified APIs?**\n\nUnlike platforms that offer predefined APIs for specific verticals and require developers to adapt to their specifications, _superglue_ provides universal data transformation that works with any API or data source. We give developers complete flexibility to transform data however they want, without vendor lock-in. Where other platforms support a limited set of integrations, _superglue_ can transform data from literally any source - whether it's a well-known API or a custom internal system - putting developers in full control of their data pipelines.\n\n**What if I want to own the integrations I build?**\n\nYou totally can with _superglue_. As an open-source solution, we provide full transparency and the ability to modify transformation logic at any level, ensuring you're never trapped in a black box. Unlike closed integration platforms, you own 100% of the integration logic. You can host the entire solution on your own infrastructure, with full access to source code and transformation rules.\n\n# **Get superglued**\n\nAre you currently building integrations, onboarding customers via integrations or too strapped to integrate them? Email us at [founders@superglue.cloud](https://mailto:founders@superglue.cloud), we’re happy to help.\n\nHave you built data-heavy integrations in the past? We want to speak to you!\n\nOtherwise get started on [Github](https://github.com/superglue-ai/superglue) or [book a demo](https://cal.com/teamindex/superglue-demo).\n\n# **About us**\n\n[Stefan](https://www.linkedin.com/in/stefan-faistenauer/) and [Adina](https://www.linkedin.com/in/adinagoerres/) first met in 2019 while studying in Munich. Their shared experience in the integration space led them to superglue.\n\n![uploaded image](/media/?type=post&id=87434&key=user_uploads/1344607/b7871bfd-f80c-48d4-90fc-aa1cb4b170c9)\n\n", "url": "https://www.ycombinator.com/launches/MkE-superglue-open-source-data-translation", "votes": 35, "created_at": "2025-02-05T16:56:51.804Z" } ] }, { "id": 30340, "name": "TamLabs", "slug": "tamlabs", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/34b8a98c2f9db316565bd733e8ce6e18bca1bb3b.png", "website": "https://tamlabs.ai", "all_locations": "San Francisco, CA, USA", "long_description": "TamLabs agent teams deliver professional work products with speed and precision.", "one_liner": "Agent teams for complex work", "team_size": 2, "industry": "B2B", "subindustry": "B2B -> Productivity", "launched_at": 1740176772, "tags": [ "Finance", "Workflow Automation", "Legal", "Enterprise", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2025", "status": "Active", "industries": [ "B2B", "Productivity" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/tamlabs", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2025/tamlabs.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/tamlabs", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/34b8a98c2f9db316565bd733e8ce6e18bca1bb3b.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Jared Friedman", "url": "https://www.ycombinator.com/people/jared-friedman" }, "founders": [ { "user_id": 2271465, "full_name": "Joshua Doolan", "title": "Founder/CEO", "founder_bio": "Founder & CEO at TamLabs (W25). Previously, Blackstone Data Science, deployed AI solutions across PE portfolio and led data science diligence for PE. Harvard AB/SM in Computer Science, focus in AI.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/joshua-doolan", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/1e1bc8f61814e07251588f88fb46036f2d8aae3f.jpg" }, { "user_id": 2271471, "full_name": "Ben Doolan", "title": "Founder/COO", "founder_bio": "COO & Co-Founder at TamLabs. Worked across private equity, consulting and policy. Studied physics and classics at Georgetown. ", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/ben-doolan-66aa64204/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/1c5af637d92d41111507e191aa357615682cd624.jpg" } ], "jobs": [], "news": [], "launches": [] }, { "id": 30421, "name": "Synthio Labs", "slug": "synthio-labs", "former_names": [ "SynthioLabs" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/9098a7fb6ce97083cb31b3aea4f58a15ab42e106.png", "website": "https://synthiolabs.com/", "all_locations": "San Francisco, CA, USA", "long_description": "The intelligence layer behind modern life sciences engagement, enabling compliant, continuous conversations across HCPs, patients, and field teams", "one_liner": "Agentic AI platform for Pharma GTM teams", "team_size": 29, "industry": "Healthcare", "subindustry": "Healthcare", "launched_at": 1744430433, "tags": [ "Biotech", "Healthcare", "Enterprise", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Spring 2025", "status": "Active", "industries": [ "Healthcare" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/synthio-labs", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2025/synthio-labs.json", "year_founded": 2024, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/synthiolabs/", "x_url": "https://x.com/SynthioLabs", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/9098a7fb6ce97083cb31b3aea4f58a15ab42e106.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Nicolas Dessaigne", "url": "https://www.ycombinator.com/people/nicolas-dessaigne" }, "founders": [ { "user_id": 1974630, "full_name": "Supreet Deshpande", "title": "Founder/CEO", "founder_bio": "Building AI Agents for Life Sciences. Seasoned leader with over a decade at the intersection of AI/ML and life sciences, delivering AI solutions across the pharmaceutical value chain (Ex-McKinsey, Ex-ZS)\n\nPreviously led \"Gen AI for Life Sciences\" initiatives at McKinsey; have worked with top 50 pharma companies and biotechs to implement AI applications. Worked across teams - from Clinical Development and Medical Affairs to Commercial.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/supreetdeshpande/", "x_url": "https://x.com/iamsupreetd", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/fb346d7cfc0907e67b4c5cffa36afc56c49c8205.jpg" }, { "user_id": 2574477, "full_name": "Sahitya Sridhar", "title": "Founder", "founder_bio": "Building AI Agents for Life Sciences GTM at SynthioLabs. Previously built scalable AI systems for content personalisation and TTS at Audible. Led developer efficiency Gen AI initiatives for teams at Audible.\n\n", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/sahitya-sridhar/", "x_url": "https://x.com/sahitya0808", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/d307df3db4a3df4484d349ec0950e6dade4aa632.jpg" }, { "user_id": 1674619, "full_name": "Rajashekar Vasantha", "title": "Founder/CTO", "founder_bio": "Building AI agents for Life Sciences @ SynthioLabs. Previously AI research at AWS and NYU CDS.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/rajashekar-v", "x_url": "https://x.com/RajashekarV95", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/3545c45d111522c979149babdb44b89b288cc5e0.jpg" } ], "jobs": [ { "id": 93710, "title": "Software Engineer - AI", "url": "https://www.ycombinator.com/companies/synthio-labs/jobs/Vd4zX2N-software-engineer-ai", "location": "IN / Remote (IN)", "type": "Full-time", "role": "Engineering", "role_type": "Backend", "salary_range": "$15K - $25K", "equity_range": "", "experience": "1+ years", "visa": "US citizenship/visa not required", "skills": [ "Amazon Web Services (AWS)", "Bash/Shell", "Git", "Node.js", "PostgreSQL", "Python", "Docker" ] }, { "id": 95129, "title": "Forward Deployed Engineer - Product", "url": "https://www.ycombinator.com/companies/synthio-labs/jobs/lXwyZPN-forward-deployed-engineer-product", "location": "San Francisco, United States", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "", "equity_range": "", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] }, { "id": 95130, "title": "Forward Deployed Engineer - Tech", "url": "https://www.ycombinator.com/companies/synthio-labs/jobs/UMaZCqj-forward-deployed-engineer-tech", "location": "San Francisco, United States", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "", "equity_range": "", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] }, { "id": 95131, "title": "GTM / Growth Lead", "url": "https://www.ycombinator.com/companies/synthio-labs/jobs/cXIdJes-gtm-growth-lead", "location": "San Francisco, United States", "type": "Full-time", "role": "Operations", "role_type": null, "salary_range": "", "equity_range": "", "experience": "5+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 95132, "title": "Other", "url": "https://www.ycombinator.com/companies/synthio-labs/jobs/WSQUWsn-other", "location": "San Francisco, United States", "type": "Full-time", "role": "Operations", "role_type": null, "salary_range": "", "equity_range": "", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] }, { "id": 95133, "title": "Head of Business Development & Partnerships", "url": "https://www.ycombinator.com/companies/synthio-labs/jobs/evhFwmX-head-of-business-development-partnerships", "location": "San Francisco, United States", "type": "Full-time", "role": "Sales", "role_type": null, "salary_range": "", "equity_range": "", "experience": "5+ years", "visa": "US citizen/visa only", "skills": [] } ], "news": [ { "title": "Synthio Labs Bags $5 Mn To Provide Voice AI To Life Sciences Industry", "url": "https://inc42.com/buzz/synthio-labs-bags-5-mn-to-provide-voice-ai-to-life-sciences-industry/", "date": "Nov 19, 2025" } ], "launches": [ { "id": 89991, "title": "SynthioLabs: World's First AI Medical Expert for Pharma GTM Teams", "tagline": "We scale your physician engagement - zero headcount added", "body": "👋 Hey everyone,\n\nWe’re [Supreet](https://www.linkedin.com/in/supreetdeshpande/), [Raj](https://www.linkedin.com/in/rajashekar-v/) and [Sahitya](https://www.linkedin.com/in/sahitya-sridhar/) - the team behind [SynthioLabs](https://www.synthiolabs.com/), and we’re building the **world’s first AI Medical Expert for Pharma GTM teams**.\n\n**Our Vision:** Reimagine how pharma engages with its most important stakeholders - physicians and patients\n\n**TL;DR**\n\n💡 Our always-on **_AI medical expert_** delivers **_compliant, accurate, and science-first engagement_** to every physician.\n\nWe help pharma GTM teams **3x their physician reach** while ensuring every interaction is medically accurate and personalized.\n\n**🎥 See us in action:**\n\n\n\n**🚨 Why now?**\n\nPharma’s current model is falling short - despite extensive sales teams, most doctors remain unengaged by pharma\n\n→ **7 out of 10 oncologists** report no meaningful touchpoints with pharma\n\n→ **Long-tail physicians (50–60%)** often receive little to no engagement from pharma reps\n\n→ Many physicians express a **need for deeper scientific insight and relevant medical knowledge**, rather than generic promotional outreach\n\nWith SynthioLabs, you can engage every physician, not just the top tier. No sales reps? No problem, we scale your team instantly.\n\n**🧠 What SynthioLabs does:**\n\n✅ Identifies and screens physicians\n\n✅ Engages in compliant, medical discussions\n\n✅ Educates on clinical guidelines and evidence\n\n✅ Books follow-ups with your medical and sales teams\n\n**📡 The Synthio Polaris Platform for Physician Engagement**\n\nWe’re building more than just one agent. Our platform lets you design intelligent AI agents — medical experts, nurse educators, field partners to **_transform how you engage physicians_**.\n\n**👥 About us**\n\nWe’re ex-McKinsey, ex-ZS, and AI researchers from Amazon.\n\nWe’ve worked with 10 of the top 20 pharma companies and bring over a decade of experience in life sciences, strategy, and AI.\n\n🔍 Want to see it in action?\n\n→ Visit [synthiolabs.com](http://synthiolabs.com)\n\n→ DM us or drop your email to book a demo\n\n→ Know someone in a life science commercial or marketing team? Share this post with them **🙏**\n\n🧠🤝 **Lets redefine how pharma connects with physicians!**\n\n— Supreet, Sahitya and Raj\n\n![uploaded image](/media/?type=post&id=89991&key=user_uploads/2574477/6c23b06e-63e5-4d3f-bfd5-5e65b2a02bfb)\n\n", "url": "https://www.ycombinator.com/launches/NPT-synthiolabs-world-s-first-ai-medical-expert-for-pharma-gtm-teams", "votes": 23, "created_at": "2025-05-02T18:40:34.977Z" } ] }, { "id": 30513, "name": "Eloquent AI", "slug": "eloquent-ai", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/af87e3855cde7932b789b7149e717ec9f587f704.png", "website": "https://www.eloquentai.co/", "all_locations": "San Francisco, CA, USA", "long_description": "We automate complex, regulated operations in financial services—no APIs, no engineering required.\r\nWe hit $500K ARR in just four weeks because customers deploy instantly.\r\nOur AI Operator learns by observing existing workflows and SOPs, securely controlling browser and desktop applications to automate up to 96% of tasks.\r\n", "one_liner": "The AI Operator for Financial Services", "team_size": 5, "industry": "B2B", "subindustry": "B2B", "launched_at": 1743955975, "tags": [ "Fintech", "B2B", "Enterprise", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Spring 2025", "status": "Active", "industries": [ "B2B" ], "regions": [ "United States of America", "America / Canada", "Remote", "Partly Remote" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/eloquent-ai", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2025/eloquent-ai.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/eloquentai/", "x_url": "https://x.com/EloqAI", "fb_url": null, "cb_url": "https://www.crunchbase.com/organization/eloquent-ai", "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/af87e3855cde7932b789b7149e717ec9f587f704.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/014c5701990a6af5ee91c66a5f02cf30cab16903.png" ], "primary_partner": { "name": "Tom Blomfield", "url": "https://www.ycombinator.com/people/tom-blomfield" }, "founders": [ { "user_id": 2611648, "full_name": "Tugce Bulut", "title": "Founder/CEO", "founder_bio": "Tugce is the co-founder of Eloquent AI and a serial entrepreneur. Previously, she founded Streetbees, scaling it into a 200-person global AI company with $80M in VC funding and multi-million dollar enterprise deals with Fortune 500 clients. \n\nShe began her career as a strategy consultant, advising tech companies on GTM strategy. A Cambridge-trained economist and published author, she’s received numerous awards including Deloitte Fast 50, WEF Tech Pioneer and EY Entrepreneur of the Year (London).", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/tugcebulut/", "x_url": "https://x.com/TugceBulut", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/472ac8cdc4e8557c2a32010f2fb911fed721275b.jpg" }, { "user_id": 2558812, "full_name": "Aldo Lipani", "title": "Founder", "founder_bio": "Aldo is the Co-founder at Eloquent AI, and a Professor of Machine Learning at UCL. His research focuses on LLMs, simulation-based evaluation, and cost-effective training methods like instruction modeling. He holds a PhD from TU Wien and has worked with NIST, Microsoft Research, NII Tokyo, and Nvidia. Aldo has also advised startups and enterprises on building reliable, real-world AI systems.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/aldo-lipani", "x_url": "https://x.com/aldolipani", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/379b7e46deb8f744c6b7f6d42a45fa6e608b27d4.jpg" } ], "jobs": [ { "id": 79140, "title": "AI Engineer, Multimodal LLMs", "url": "https://www.ycombinator.com/companies/eloquent-ai/jobs/2eWGivc-ai-engineer-multimodal-llms", "location": "San Francisco", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$150K - $250K", "equity_range": "", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 79141, "title": "AI Engineer, Agent", "url": "https://www.ycombinator.com/companies/eloquent-ai/jobs/2xwyYHg-ai-engineer-agent", "location": "San Francisco", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$150K - $250K", "equity_range": "", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 79142, "title": "Forward Deployed Engineer", "url": "https://www.ycombinator.com/companies/eloquent-ai/jobs/H6NdVAs-forward-deployed-engineer", "location": "San Francisco", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$120K - $180K", "equity_range": "", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 79143, "title": "Software Engineer, Front-End", "url": "https://www.ycombinator.com/companies/eloquent-ai/jobs/PITFKFM-software-engineer-front-end", "location": "Remote / Remote (US)", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$70K - $100K", "equity_range": "", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 79144, "title": "Product Designer", "url": "https://www.ycombinator.com/companies/eloquent-ai/jobs/crOhZol-product-designer", "location": "San Francisco", "type": "Full-time", "role": "Design", "role_type": "Web design", "salary_range": "$120K - $180K", "equity_range": "", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 79146, "title": "AI Engineer, AIOps & Infrastructure", "url": "https://www.ycombinator.com/companies/eloquent-ai/jobs/aCloWFq-ai-engineer-aiops-infrastructure", "location": "San Francisco", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$150K - $250K", "equity_range": "", "experience": "6+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 79147, "title": "Eloquent AI Fellowship Program", "url": "https://www.ycombinator.com/companies/eloquent-ai/jobs/M0fvU2k-eloquent-ai-fellowship-program", "location": "San Francisco", "type": "Full-time", "role": "Operations", "role_type": null, "salary_range": "", "equity_range": "", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] }, { "id": 79148, "title": "Senior Software Engineer, Full-Stack", "url": "https://www.ycombinator.com/companies/eloquent-ai/jobs/0qOJ5mE-senior-software-engineer-full-stack", "location": "San Francisco / Remote (US)", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$150K - $250K", "equity_range": "", "experience": "6+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 79149, "title": "AI Engineer, Platform", "url": "https://www.ycombinator.com/companies/eloquent-ai/jobs/sJHxcvc-ai-engineer-platform", "location": "San Francisco", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$150K - $250K", "equity_range": "", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [] } ], "news": [ { "title": "Eloquent AI raises $7.4m to bring AI operators to financial services", "url": "https://www.eloquentai.co/fundraising", "date": "Dec 09, 2025" }, { "title": "\n\tEloquent AI raises $7.4m to automate FS customer support\n", "url": "https://www.finextra.com/newsarticle/46583/eloquent-ai-raises-74m-to-automate-fs-customer-support", "date": "Sep 12, 2025" }, { "title": "Eloquent AI: round da 7,4 milioni per semplificare l’assistenza cliente delle banche - la Repubblica", "url": "https://www.repubblica.it/tecnologia/2025/09/09/news/eloquent_ai_round_da_74_milioni_per_semplificare_l_assistenza_cliente_delle_banche-424835468/", "date": "Sep 09, 2025" }, { "title": "YC Founder Raised $7.4 Million for Eloquent AI. Read Her Pitch Deck. - Business Insider", "url": "https://www.businessinsider.com/eloquent-ai-y-combinator-founder-oversubscribed-seed-pitch-deck-2025-9", "date": "Sep 07, 2025" }, { "title": "💭 What is Eloquent AI, and why should you pay attention? Tugce Bulut’s latest venture Eloquent AI", "url": "https://www.linkedin.com/posts/hugotilmouth_what-is-eloquent-ai-and-why-should-you-activity-7313443897840431104-qILE/?utm_source=share&utm_medium=member_desktop&rcm=ACoAAABPuFIBSaL4x68RH3VmwAKp1Sfp_HPDaVw", "date": "May 12, 2025" } ], "launches": [ { "id": 90355, "title": "Eloquent AI: The AI Operator for Financial Services", "tagline": "Automate complex, regulated support operations end-to-end for compliant and reliable customer services.", "body": "**🎯TL;DR**\n\nEloquent AI is the first AI Operator built specifically for financial services to automate complex, regulated customer service operations beyond frontline support. \n\nOur AI Operator learns to securely navigate your existing systems simply by observing your standard operating procedures (SOPs)—automating up to 96% of tasks without any engineering effort.\n\n[Introducing Eloquent AI](https://youtu.be/vsPg2VFtSt4)\n\n**🙏Our Ask**\n\n**If you’re running a fintech or insurtech and looking to automate customer service operations, we’d love to help.** Just reach out at [founders@eloquentai.co](mailto:founders@eloquentai.co).\n\n**❌ The Problem**\n\nFinancial institutions want AI-driven efficiency, yet adoption remains below 1%. Why? Generic AI agents fail in regulated environments due to: \n\n↳ Constant hallucinations \n\n↳ Compliance risks\n\n↳ Heavy engineering requirements stalling action automation\n\nFinancial services require AI built specifically for regulated workflows—seamlessly integrated into legacy systems, delivering reliable actions, not dead-end conversations.\n\n![uploaded image](/media/?type=post&id=90355&key=user_uploads/2611648/abf0478b-90df-4099-ada2-236b3510cb84)\n\n**✅ Eloquent AI: End-to-end customer support automation. Zero APIs required.**\n\nUnlike  generic AI agents, Eloquent AI goes beyond frontline support to fully automate customer support end-to-end. Instead of relying on cumbersome API integrations that require long dev cycles, our AI Operator learns directly from observing your SOPs and team’s actions, securely navigating your internal systems exactly as human agents do.\n\n**Automate complex, multi-party workflows**—unfreeze accounts, handle AML/KYC checks, adjust repayments, or update claim statuses without escalations.\n\n**Deploy rapidly with no internal engineering required**—Eloquent AI learns securely by observing your team through multimodal technology, enabling our operator to reason and interact across both language and visual inputs.\n\n**Ensure compliance effortlessly** with our proprietary LLM, Oratio, trained specifically on your financial regulations for secure, auditable interactions.\n\n**Integrate seamlessly**—connect AI directly to your CRM, databases, and support platforms for chat, voice and email support.\n\n**Confidently resolve complex queries**, ensure accurate routing, and eliminate hallucinations through continuous simulation and rigorous evaluation.\n\n**🚀 The Impact**\n\nTrusted by leading financial institutions, Eloquent AI drives immediate operational efficiency:\n\n* **24/7 Coverage:** Consistent, high-quality customer experience across all channels.\n* **Up to 96% Automation**: Scalable automation handling nearly all regulated customer requests.\n* **4x Cost Reduction:** Significant operational savings, achievable in weeks.\n\n![uploaded image](/media/?type=post&id=90355&key=user_uploads/2611648/9e7d65b6-d1d6-4728-895e-c7d72e1444f7)\n\n## **See What Eloquent AI Can Do For You**\n\nTired of wrestling with generic AI and manual workflows? Eloquent AI gives you fully automated, compliant customer operations—with zero coding required.\n\n📅 Book your demo: https://calendly.com/tugce-eloquentai/demo\n\n📬Reach us directly: [founders@eloquentai.co](mailto:founders@eloquentai.co)\n\n**Founders**\n\nEloquent AI is founded by [Tugce Bulut](https://www.linkedin.com/in/tugcebulut/), a second-time entrepreneur with deep expertise deploying large-scale AI solutions for Fortune 500 enterprises, and [Dr. Aldo Lipani](https://www.linkedin.com/in/aldo-lipani/), a Machine Learning professor, who also runs a research lab specializing in multimodal LLMs.", "url": "https://www.ycombinator.com/launches/NVL-eloquent-ai-the-ai-operator-for-financial-services", "votes": 777, "created_at": "2025-05-13T16:56:25.704Z" } ] }, { "id": 30596, "name": "Adaptional", "slug": "adaptional", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/8ea52a7c833e951c693eafd9561453164d5bf74c.png", "website": "https://www.adaptional.com/", "all_locations": "San Francisco, CA, USA", "long_description": "Adaptional is building agentic AI for insurance claims. Claims are 75% of every dollar in the $1T insurance industry -- and one of the most under-optimized areas, still managed by adjusters working hundreds of files by hand. We're changing this with AI claims review agents, already deployed at some of the major P&C carriers. \r\n\r\nIn the future, claims will be powered by an intelligence layer that manages files and escalates actions to human adjusters. Adaptional is building the AI system that will be the foundation for every claims department across P&C insurance.", "one_liner": "AI-powered insurance claims review", "team_size": null, "industry": "B2B", "subindustry": "B2B", "launched_at": 1758589841, "tags": [ "AIOps", "Insurance", "Enterprise", "Enterprise Software", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Summer 2025", "status": "Active", "industries": [ "B2B" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/adaptional", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2025/adaptional.json", "year_founded": 2024, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/adaptional", "x_url": "https://x.com/adaptionalAI", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/8ea52a7c833e951c693eafd9561453164d5bf74c.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Jared Friedman", "url": "https://www.ycombinator.com/people/jared-friedman" }, "founders": [ { "user_id": 423912, "full_name": "Kevin Cox", "title": "Founder/CTO", "founder_bio": "Co-founded and sold digital insurance brokerage Savvy (W20). Led engineering teams at Clipboard Health while revenue grew profitably from $30M -> $130M. Building Adaptional - AI for commercial insurance.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/kevin-cox-90337b47/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/2b7259298331b37a4b0148298d7000aa1740d138.jpg" }, { "user_id": 350876, "full_name": "Suril Kantaria", "title": "Founder", "founder_bio": "Cofounder of Adaptional S25 and Savvy W20, a digital insurance brokerage for startups & SMBs. Previously on the early team at X/xAI and Primer, a NLP lab that raised $250m+.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/suril-kantaria-59522922/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/6d48636a05ad637f49098c12abee3f0706b5ab03.jpg" } ], "jobs": [ { "id": 93126, "title": "Founding Engineer", "url": "https://www.ycombinator.com/companies/adaptional/jobs/k7W6ge9-founding-engineer", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$180K - $280K", "equity_range": "1.00% - 2.00%", "experience": "1+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 99740, "title": "Founding GTM Lead", "url": "https://www.ycombinator.com/companies/adaptional/jobs/D8ofuWJ-founding-gtm-lead", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Sales", "role_type": null, "salary_range": "$140K - $185K", "equity_range": "0.35% - 0.75%", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [] } ], "news": [], "launches": [] }, { "id": 30716, "name": "Finto", "slug": "finto-de", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/f6adb7f41be65aa21db82cf58680bb6b24b1fdaa.png", "website": "https://www.gofinto.com/", "all_locations": "Munich, BY, Germany", "long_description": "Finto builds AI accounting software for enterprise finance teams. We automate the invoice-to-pay process from their email inbox to their ERP. Cutting out 80% of the accountants daily work in invoice recording, account coding and invoice approvals.", "one_liner": "AI accounting for enterprise finance teams", "team_size": 10, "industry": "B2B", "subindustry": "B2B -> Finance and Accounting", "launched_at": 1751218179, "tags": [ "Fintech", "B2B", "Enterprise", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Summer 2025", "status": "Active", "industries": [ "B2B", "Finance and Accounting" ], "regions": [ "Germany", "Europe" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": [ { "question": "How did your company get started? (i.e., How did the founders meet? How did you come up with the idea? How did you decide to be a founder?)", "answer": "We all combine deep domain expertise in mid-market and enterprise workflow automation. \r\n\r\nLorenz and Jonas worked together for 4+ years at TradeLink (SCM-SaaS backed by Point Nine, Insight), accompanying the path from 0 to product-market fit. Lorenz led Product; Jonas led Go-to-Market. Both quit their leadership roles to found Finto. \r\n\r\nKnowing each other from the Munich startup scene, Linus joined as Co-Founder & CTO. He was previously an early tech lead at Tacto (Procurement SaaS backed by Sequoia, Index), helping scale it from pre-seed to one of Europe’s largest Series A rounds in mid-market SaaS." }, { "question": "What is the core problem you are solving? Why is this a big problem? What made you decide to work on it?", "answer": "Enterprises with complex vendor supply chains produce vast amounts of incoming vendor invoices each year. A typical **mid-market enterprise processes \\~100k incoming invoices** **yearly**, and today, an accountant tops out at \\~10-20k invoices per year because the real grind is still manual: \r\n\r\n* Key-stroking invoice data to the ERP\r\n* Manual invoice review and compliance checks\r\n* Manual managing deviations with purchase orders\r\n* Manual allocate ledger accounts and cost center codes\r\n* Chasing approvals. That’s why enterprises still staff large accounting teams - or ship the work to shared-service centers." }, { "question": "What is your long-term vision? If you truly succeed, what will be different about the world?", "answer": "AI will write the final chapter of accounting software. What once required teams, training, and manual effort now happens in real-time - intelligently, autonomously, and at scale through agents. \r\n\r\nFinto is our contribution to this future. As AI agents become capable of understanding context, learning from company-specific data, and executing complex workflows, entire job profiles will shift away from manual execution. With its predictable but intricate schemes, accounting is poised to be one of the first areas transformed. \r\n\r\nDoubling down on our domain expertise, we are on a mission to **take the manual out of accounting**." } ], "url": "https://www.ycombinator.com/companies/finto-de", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2025/finto-de.json", "year_founded": 2025, "city": "Munich", "country": "DE", "linkedin_url": "https://www.linkedin.com/company/fintoai/", "x_url": "", "fb_url": null, "cb_url": "https://www.crunchbase.com/organization/finto-a994", "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/f6adb7f41be65aa21db82cf58680bb6b24b1fdaa.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/897790f5a97b38600e585ebd8a1b1a17e7fb809f.png" ], "primary_partner": { "name": "Gustaf Alstromer", "url": "https://www.ycombinator.com/people/gustaf-alstromer" }, "founders": [ { "user_id": 517834, "full_name": "Jonas Morgner", "title": "Founder/CEO", "founder_bio": "Co-Founder & CEO of Finto, building AI Accounting agents for enterprise finance teams.\n", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/jonasmorgner/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/7f97605372b5d0ae1ac979c3e2c7f2ed491ba373.jpg" }, { "user_id": 2677901, "full_name": "Linus Boehm", "title": "Founder/CTO", "founder_bio": "Co-Founder & CTO of Finto, building AI Accounting agents for enterprise finance teams.\nFormer Engineering Lead @ Tacto - the intelligent procurement engine for enterprises. Raised a $55M Series-A from Sequoia and Index. Started there as first full time employee.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/linus-boehm/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/6c3067d349d15aae05c2fb6d8bb70af8203637f4.jpg" }, { "user_id": 2140494, "full_name": "Lorenz Neuner", "title": "Founder/CPO", "founder_bio": "Co-Founder & CPO of Finto, building AI Accounting agents for enterprise finance teams.\nFormer Product Lead @ TradeLink - a supply chain management software for enterprises. Raised $15M from Insight Partners and Point Nine. Started among the first employees.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/lorenz-neuner/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/541755a427a44a2ca6441bbce20da9487ac8ccdb.jpg" } ], "jobs": [ { "id": 80796, "title": "Product Engineer", "url": "https://www.ycombinator.com/companies/finto-de/jobs/zgep090-product-engineer", "location": "Munich, BY, DE / Munich, Bavaria, DE", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "€60K - €130K EUR", "equity_range": "", "experience": "3+ years", "visa": "US citizenship/visa not required", "skills": [ "Node.js", "React", "TypeScript" ] }, { "id": 85656, "title": "(Senior) Solution Engineer", "url": "https://www.ycombinator.com/companies/finto-de/jobs/9rF94y6-senior-solution-engineer", "location": "Munich, BY, DE / Munich, Bavaria, DE", "type": "Full-time", "role": "Product", "role_type": null, "salary_range": "€50K - €80K EUR", "equity_range": "", "experience": "1+ years", "visa": "US citizenship/visa not required", "skills": [ "SQL" ] } ], "news": [], "launches": [ { "id": 92119, "title": "Finto - AI Accounting for Enterprises", "tagline": "The AI accounting software for enterprise finance teams", "body": "**Finto - AI Accounting for Enterprises**\n\nhttps://www.youtube.com/watch?v=otqOvfepgKQ\n\n**TL;DR**\n\nFinto builds an AI accounting software for enterprise finance teams. We automate the invoice-to-pay process from their email inbox to their ERP including invoice handling, supplier communication, 3-way matching, and ERP data entry.\n\n**Problem**\n\nEnterprises with complex vendor supply chains produce vast amounts of incoming vendor invoices each year. A typical **mid-market enterprise processes \\~100k incoming invoices** **yearly**, and today’s legacy tools force accountants to top out at a fraction of the volume: Real manual grunt work still remains:\n\n* Handling hundreds of mails and documents a day\n* Key-stroking invoice data to the ERP\n* Manual invoices checks and account coding\n* Manual managing deviations with purchase orders\n* Chasing approvals\n\nThat’s why enterprises still staff large accounting teams - or ship the work to shared-service centers. Our mission is to free the world’s finance teams from repetitive, low-value tasks so they can focus on impactful work. That starts with building a place where everyone can do their best work.\n\n**Solution**\n\nWe build a platform embedding AI agents to automate the end-to-end invoice-to-pay cycle:\n\n1. **Classify** inbox documents (invoice, receipts, reminder)\n2. **Read** invoices at **99%+ accuracy** - even on line item level\n3. **Check** on vendor, tax, bank, and compliance data\n4. **Email vendors** automatically if something’s off\n5. **Understand & code** ledger, cost-center or project numbers\n6. **Three-Way-Match** invoice orders with POs and GRs\n7. **Collect** **&** **chase** required approvals\n8. **Post to ERP**\n\n**Team**\n\n![uploaded image](/media/?type=post&id=92119&key=user_uploads/517834/3c1f90e4-a068-4456-9e57-cdc10fe024d3)\n\nWe combine deep domain expertise in enterprise workflow automation. \n\n[Lorenz](https://www.linkedin.com/in/lorenz-neuner/) and [Jonas](https://www.linkedin.com/in/jonasmorgner/) worked together for 4+ years at TradeLink (European Logistics-SaaS backed by Point Nine, Insight Partners), accompanying the path from 0 to product-market fit. Lorenz led Product; Jonas led Go-to-Market. Both quit their leadership roles to found Finto. \n\nKnowing each other from the Munich startup scene, [Linus](https://www.linkedin.com/in/linus-boehm/) joined as Co-Founder & CTO. He was previously an early tech lead at Tacto (Procurement-SaaS backed by Sequoia, Index), helping scale it from pre-seed to one of Europe’s largest Series A rounds in mid-market SaaS.\n\n**CTA**\n\nYou’re interested in our product? [Book your demo here](https://www.finto.de/request-demo).\n\nIf you know a CFO or accounting leader, we are eager to help them make their process more efficient - please reach out: [jonasm@finto.de](mailto:jonasm@finto.de)\n\nFollow us on [LinkedIn](https://www.linkedin.com/company/fintoai/) or visit our [website](https://www.finto.de/).", "url": "https://www.ycombinator.com/launches/Nxn-finto-ai-accounting-for-enterprises", "votes": 250, "created_at": "2025-07-14T17:08:56.135Z" } ] }, { "id": 30886, "name": "Clerked", "slug": "clerked", "former_names": [ "Mod AI" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/84eedde0d0f019eaafca3d59004098b0b94f6ffb.png", "website": "https://clerked.ai", "all_locations": "San Francisco, CA, USA", "long_description": "Fully automate your accounts payable with the most advanced AI clerks in the world.\r\n\r\nThen ask them anything about your spend. They build custom reports, find savings, and tell you exactly when to pay to protect cash flow and capture discounts.\r\n\r\nClerked is the only AP platform that lets you manage your payables entirely from your phone, in Teams, Slack or iMessage.\r\n\r\nSee it work at clerked.ai", "one_liner": "AI clerks that automate your payables", "team_size": 3, "industry": "B2B", "subindustry": "B2B -> Finance and Accounting", "launched_at": 1759171972, "tags": [ "Fintech", "Finance", "Enterprise", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Fall 2025", "status": "Active", "industries": [ "B2B", "Finance and Accounting" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/clerked", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2025/clerked.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/clerked-ai/", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/84eedde0d0f019eaafca3d59004098b0b94f6ffb.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Tom Blomfield", "url": "https://www.ycombinator.com/people/tom-blomfield" }, "founders": [ { "user_id": 1635968, "full_name": "Evan Meyer", "title": "Founder/CEO", "founder_bio": "CEO @ Clerked\n\nStudied CS + Stats at UIUC and worked in data, ML, AI at LinkedIn and a couple of startups.", "is_active": true, "linkedin_url": "https://linkedin.com/in/evanameyer", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/81107bf69f7a35f50950e37d47296f47cbb3e6e0.jpg" }, { "user_id": 2058253, "full_name": "Sunjeet Chugh", "title": "Founder/CTO", "founder_bio": "CTO @ Clerked (formerly Mod AI).\n\nOn leave from studying CS & Statistics @ UIUC, previously worked on applied AI and distributed systems at Amazon, Adyen, and Retail/CPG companies.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/jeetchugh/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/08af39a0f3c84576e9352607ed3b99f60d92d3b9.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 94606, "title": "Mod AI: Automating Accounts Payable with AI Agents", "tagline": "Where AP runs itself", "body": "Hey everyone 👋\n\nWe’re [Evan](https://www.linkedin.com/in/evanameyer/) and [Jeet](https://www.linkedin.com/in/jeetchugh/) – co-founders of [Mod AI](https://usemod.ai).\n\n# **TL;DR**\n\n**Mod AI automates the manual work of processing invoices for growing enterprises.** We’ve already helped accounting teams of 1-20+ streamline their invoice processing by 83%.\n\n**_Ask:_** Can you introduce us to CFOs, controllers, Accounting Directors, or Accounts Payable managers of mid to large companies that could benefit from streamlining their accounting processes with AI? Contact us at [evan@mod-ai.org](mailto:evan@mod-ai.org)\n\nhttps://youtu.be/XaT6mEQnWmE\n\n# ❌ The Problem\n\nMost growing enterprises still process invoices manually—hiring AP clerks to comb through inboxes, type up documents, and chase approvals. As volume grows, they scramble to add more headcount or outsource to expensive temps.\n\nThis creates three major pains:\n\n1. **Cash flow blindness** – No visibility until month-end close\n2. **Unscalable manual work** – More invoices means more clerks (highest-turnover role in finance)\n3. **Vendor relationship damage** – Late payments and errors erode trust\n\nWe talked to 23 CFOs last month—nearly all said their AP process couldn't scale.\n\n# 👷 Our Solution\n\nMod AI deploys AI agents that handle your accounts payable process end-to-end—from the moment an invoice arrives to the moment it's paid and synced to your books. Companies simply connect their systems and instantly get:\n\n* **Complete invoice capture** 📥**:** Auto-pull from email, supplier portals, EDI, physical mail\n* **Intelligent processing** 🧠**:** 97%+ accurate GL coding, 2-way/3-way matching, fraud detection\n* **Seamless approval & payment** ✅**:** Custom workflows, one-click approvals, direct sync to accounting software\n\n**Result:** Real-time spend visibility, 10x invoice volume without hiring, and stronger vendor relationships.\n\n# 🙏 Our Ask\n\nIf you answer \"yes\" to any of these, we'd love your help:\n\n* **Do you know any mid-market CFOs, Controllers, or VP Finance leaders** whose AP teams are drowning in manual invoice work? Or are you one yourself? We'd love to show you a demo and discuss how Mod AI can help you scale without adding headcount.\n* **Can you introduce us to any finance operations networks or communities** where leaders are looking for AI solutions to automate back-office work?\n* **Can you introduce us to any accounting firms, fractional CFO groups, or ERP consultants** who work with mid-market companies in financial services, insurance, or manufacturing?\n\n👉 **Contact us at [evan@mod-ai.org](mailto:evan@mod-ai.org)**", "url": "https://www.ycombinator.com/launches/Obu-mod-ai-automating-accounts-payable-with-ai-agents", "votes": 13, "created_at": "2025-10-14T14:37:44.360Z" } ] }, { "id": 30945, "name": "Zalos", "slug": "zalos", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/e1e6ee7d8a3b596506042ea8802d90c9c4292a17.png", "website": "https://www.zalos.ai/", "all_locations": "London, England, United Kingdom", "long_description": "Zalos is the Finance Automation Workbench for enterprise finance teams.\r\n\r\nZero Integrations | Transparent Decisioning | Outcome-based Pricing\r\n\r\nLearn more at www.zalos.ai/contact-us\r\n\r\nZalos AI Workers automate processes with improved accuracy, controls & auditability, using a Finance-specific agent harness & skill library.\r\n\r\nBacked by Y Combinator, 14 Peaks, Cohen Circle and strategic angels such as CFO Fedex, Board Member TA Associates, COO Deel and more.\r\n\r\nHire Zalos AI workers such as:\r\n• Zalos AI Staff Accountant\r\n• Zalos AI Billing Analyst\r\n• Zalos AI AP Analyst\r\n• Zalos AI Treasury Manager\r\n\r\nAnd more. Discuss your enterprise finance transformation at www.zalos.ai/contact-us", "one_liner": "Hire Zalos AI workers to run your finance department", "team_size": 10, "industry": "B2B", "subindustry": "B2B -> Finance and Accounting", "launched_at": 1759103907, "tags": [ "Fintech", "Finance", "Enterprise", "Billing", "AI Assistant" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Fall 2025", "status": "Active", "industries": [ "B2B", "Finance and Accounting" ], "regions": [ "United Kingdom", "Europe" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": [ { "question": "What is the core problem you are solving? Why is this a big problem? What made you decide to work on it?", "answer": "Finance processes do not live in one system. They run across ERPs, portals, spreadsheets and inboxes that do not connect cleanly. People move data and resolve the same exceptions by hand every month.\r\n\r\nZalos AI Workers operate those systems the way a finance team does, with tighter controls, accuracy and auditability, using a finance-specific agent harness & skill library.\r\n\r\n**WHY FINANCE TEAMS CHOOSE ZALOS** \r\n\r\n1\\. ZERO SYSTEM INTEGRATION \r\n\r\nAI Workers log in and use your systems through the user interface, as your team does. There are no API integrations to build and no software to replace. \r\n\r\n2\\. TRANSPARENT DECISIONING \r\n\r\nDecisions follow deterministic rules, not model judgement. Decision logic, inputs and controls are traceable and ready for audit, with linked workbooks and timestamped run logs behind every entry. \r\n\r\n3\\. OUTCOME-BASED PRICING\r\n\r\nROI secured by Zalos solving last-mile work, then customer starts subscription when criteria met." } ], "url": "https://www.ycombinator.com/companies/zalos", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2025/zalos.json", "year_founded": 2025, "city": "London", "country": "GB", "linkedin_url": "https://www.linkedin.com/company/zalos/", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/e1e6ee7d8a3b596506042ea8802d90c9c4292a17.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/f7e524b37043948e82ce17c31ac512c4d8af84b5.png" ], "primary_partner": { "name": "Tom Blomfield", "url": "https://www.ycombinator.com/people/tom-blomfield" }, "founders": [ { "user_id": 42612, "full_name": "William Fairbairn", "title": "Founder/CEO", "founder_bio": "William was UK General Manager at Agicap, one of the leading ‘Office of the CFO’ startups in Europe (valued at ~$800m).\n\nHe previously was in McKinsey Tech practice, and built & exited a B2B SaaS.\n", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/willfairbairn/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/ec080db6feb17e7dcea5af731595718d513c4bbe.jpg" }, { "user_id": 2531337, "full_name": "Hung Hoang", "title": "Founder/CTO", "founder_bio": "Hung built Apple Pay products like Buy Now Pay Later, serving millions daily, and worked on AI initiatives at Apple and other AI startups (Twin.so, Gitguardian).", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/hxuanhung/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/a54a8145817c1b3a9f8101446d01fa70ed01f395.jpg" } ], "jobs": [ { "id": 89202, "title": "Founding Product Engineer", "url": "https://www.ycombinator.com/companies/zalos/jobs/MbpksyV-founding-product-engineer", "location": "London, England, GB", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "£70 - £130 GBP", "equity_range": "0.20% - 1.00%", "experience": "3+ years", "visa": "US citizenship/visa not required", "skills": [] }, { "id": 95332, "title": "Senior AI Engineer", "url": "https://www.ycombinator.com/companies/zalos/jobs/q9x1zkX-senior-ai-engineer", "location": "London, England, GB", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "£70 - £140 GBP", "equity_range": "0.20% - 1.50%", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [] } ], "news": [ { "title": "Zalos Raises $3.6M To Bring Computer Agents To The CFO's Office", "url": "https://www.forbes.com/sites/ilonalimonta-volkova/2026/03/24/zalos-raises-36m-to-bring-computer-agents-to-the-cfos-office/", "date": "Mar 24, 2026" } ], "launches": [ { "id": 94182, "title": "⚡ZALOS: Computer Agents for Finance Operations", "tagline": "Automate repetitive Finance workflows like categorization & reconciliation, without changing Finance systems!", "body": "### **Eliminate your Finance Operations grunt work - NOW!**\n\n**Zalos Computer Agent:**\n\n⚡Logs into existing systems (e.g., ERP, Accounting, other CFO tools)\n\n⚡Automates Finance processes (e.g., reconciliation, categorization, form filling)\n\n⚡Uploads & submits in your system\n\nRequest demo here:[ ](https://bit.ly/4gJalwn)https://www.zalos.ai/contact-us\n\n**Our ask:** Send our website / YouTube to 5 friends in Midmarket / Enterprise Finance & Operation teams - thank you!\n\nhttps://youtu.be/tx5ymY7DZEU?feature=shared\n\n### **Why IS THIS?**\n\n# **The Blockers ➜ Your Finance Systems:**\n\nFinance Operations is buried in repetitive tasks, driving:\n\n❌ **Lack of financial visibility** for decision-making\n\n❌ **Wasted time** by in-house or outsourced teams\n\n❌ **Mistakes** and **delays** from human-driven processes\n\nBarriers to FinOps automation have included:\n\n🚨 **Legacy ERPs** with limited AI\n\n🚨 **Authentication-protected** websites & portals\n\n🚨 **Too many Finance Systems** that don’t speak to one another\n\nIt doesn’t have to be this way.\n\n# **The Breakthrough ➜ Zalos:**\n\nZalos Agents run your rule-based processes, using your existing Finance applications:\n\n⭐ Our agents **automate processe**s based on **simple instructions** (e.g., Screen Recording, PDFs)\n\n⭐ **Native handling of ERPs** or other applications (e.g., 2FA, Captcha)\n\n⭐ **Superior Finance & Accounting task performance**, including leveraging our **FinOps libraries** (e.g., System Access, Categorization, Reconciliation, etc.)\n\n![uploaded image](/media/?type=post&id=94182&key=user_uploads/42612/798b755c-d5bd-4b10-be1a-dd27ee7a41ff)\n\n⸻⸻⸻⸻⸻⸻⸻⸻⸻⸻⸻⸻⸻⸻⸻⸻⸻⸻\n\n# **Customer story:**\n\n**FROM:** In the Bay Area, a Finance Manager was wasting 4 days (!) per month:\n\n✖️ Downloads transactions from Corporate Credit Cards & legacy Banks\n\n✖️ Uploads into NetSuite and manually categorizes 100s of transactions\n\n**USING ZALOS:** Finance Manager schedules ‘run process’ weekly:\n\n✔️ Zalos handles 2FA to download & submit required transactions\n\n✔️ Zalos operates NetSuite to categorize >60% outstanding transactions\n\nNo browser required: Zalos works silently in the background, continuously improving itself.\n\nGaining 1 day per week was transformational. The Finance Manager could:\n\n🟪 Reduce financial risks with closer inspection (e.g., debt covenants)\n\n🟪 Catch cash leakages by spotting suppliers being paid at generous terms\n\n🟪 Be a strategic partner to the CEO & business with better analysis\n\n⸻⸻⸻⸻⸻⸻⸻⸻⸻⸻⸻⸻⸻⸻⸻⸻⸻⸻\n\nZalos **transforms** your Finance Operations:\n\n☑️ **Scale without headcount** - don’t let Operations teams be a bottleneck\n\n☑️ **Smarter every day**, with evals & RL-finetuning driving a self-performing system\n\n☑️ **Built for Enterprise-grade security** and screen records every automation for audit\n\nRequest demo here:[ ](https://bit.ly/4gJalwn)https://www.zalos.ai/contact-us\n\n⸻⸻⸻⸻⸻⸻⸻⸻⸻⸻⸻⸻⸻⸻⸻⸻⸻⸻\n\n# The Team\n\n**William** was UK General Manager at Agicap, one of the largest ‘Office of the CFO’ startups in Europe, after working at McKinsey. He previously built & sold a bootstrapped B2B SaaS.\n\n**Hung** built Apple Pay products like Buy Now Pay Later, serving millions daily, and led on other AI initiatives at Apple, alongside working for other great AI startups.\n\n## **⚔️ We’re on a war path to automate repetitive Finance tasks⚔️**\n\n➡➡ Request demo here:[ ](https://bit.ly/4gJalwn)https://www.zalos.ai/contact-us\n\n📩📩 **Questions?** Email me at: [will@zalos.ai](mailto:will@zalos.ai)\n\n🙏🙏 **Our ask:** Send our website / youtube video to 5 friends in Finance / Operations - thank you!", "url": "https://www.ycombinator.com/launches/OV4-zalos-computer-agents-for-finance-operations", "votes": 324, "created_at": "2025-09-29T14:00:21.640Z" } ] }, { "id": 31161, "name": "Rapidfolio", "slug": "rapidfolio", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/03c9e049e23bc7dcc8df7c9c46fd48f3e74846af.png", "website": "https://rapidfolio.com/", "all_locations": "San Francisco, CA, USA", "long_description": "Rapidfolio helps banks and fintechs fully automate back-office workflows like fraud investigations, KYB/KYC and loan underwriting, with accuracy and auditability.\r\n\r\nBuilt by fintech founders and operators, Rapidfolio is on a mission to ensure banks and fintechs scale their customer base without adding another back-office head count.", "one_liner": "AI-native back-office for banks and fintechs", "team_size": null, "industry": "B2B", "subindustry": "B2B", "launched_at": 1784234137, "tags": [ "Fintech", "SaaS", "Enterprise", "Automation", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2026", "status": "Active", "industries": [ "B2B" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/rapidfolio", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2026/rapidfolio.json", "year_founded": null, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/rapid-folio/", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/03c9e049e23bc7dcc8df7c9c46fd48f3e74846af.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/b5d2e5015ae907316abef45c424725ff7c1bd646.png" ], "primary_partner": { "name": "Gustaf Alstromer", "url": "https://www.ycombinator.com/people/gustaf-alstromer" }, "founders": [ { "user_id": 334623, "full_name": "Naveen Qureshi", "title": "Founder/CEO", "founder_bio": "Co-founder and CEO Rapidfolio, AI for fintechs and banks.\nPrev: co-founder & CEO of Sable (S19), a consumer fintech that I built, scaled to few hundred thousand accounts and sold.\nOn a mission to help banks and fintechs grow their customer base without adding another back-office headcount. Ex Capital One, Amazon, Target. Columbia Business School.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/naveen-qureshi", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/35caac9e4b831d4e37de25f7c777c368e27cc364.jpg" }, { "user_id": 2636714, "full_name": "Frederik Vanhevel", "title": "Founder/CTO", "founder_bio": "Co-founder & CTO at Rapidfolio (S26), where we use AI to automate the most complex financial processes with self-evolving, always-compliant, fully-auditable workflows no one else is building. Previously built two banks from scratch: founding engineer at Sable (S19, shipped in a record 3 months, pre-AI) and Seen, where I rebuilt the entire infra for the Snap Finance acquisition, built the credit decisioning engine and scaled to serve hundreds of thousands of customers.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/frederik-vanhevel/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/0da9e1bb6735ce1052d2b98eff490d3b95bfe76a.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 106986, "title": "Rapidfolio - AI Platform for Compliance, Operations, Risk & Fraud for Fintechs and Banks 🏦", "tagline": "AI for banks and fintechs", "body": "Hi everyone 👋\\\nWe're [Naveen](https://www.linkedin.com/in/naveen-qureshi) & [Frederik](https://www.linkedin.com/in/frederik-vanhevel/), fintech founders and operators building [Rapidfolio](https://rapidfolio.com/).\\\n\\\n**TL;DR:** Rapidfolio automates the most complex manual compliance, operations, and fraud processes that analysts perform at fintechs and banks today. We do this with 100% accuracy, speed, and auditability. We are previous founders and operators in fintech, and created Rapidfolio because we wished it existed when we were running Sable (S19).\\\n\\\n**Video:**\\\n\n\n\\\n**Our Ask:**\\\n**If you are a founder or operator at a fintech** **or bank** **who**\\\ni) has a pressing need to automate manual tasks due to high volume and/or,\\\nii) needs to decrease the amount you spend annually on back-office staff or\\\niii) you simply want to build solid automation to decrease human error\\\nReach out directly: [founders@rapidfolio.com](mailto:founders@rapidfolio.com) or book a demo: \n\n**——————-**\n\n**The Problem** \n\nFintechs and banks spend up to **30% of their revenue** on operations, compliance, risk and fraud back-office staff. The back-office performs manual processes like KYC and KYB reviews, OFAC/sanctions/watchlist reviews, fraud investigations, disputes and chargebacks, mortgage and loan underwriting, and sometimes even manual data input workflows, among others. The back-office scales as a function of the number of accounts held at the fintech/bank and quickly becomes extremely costly, time consuming, and error prone. \n\nFrederik and I lived this problem firsthand. **We started Rapidfolio because we wished it existed when we were running Sable (S19)!**\n\n**Our Solution** \n\nRapidfolio turns manual compliance, operations, risk and fraud processes into accurate, auditable, and automated flows. We’re running at **100% accuracy** in production. We provide the **end to end platform and services** to:\n\n**1. Convert your existing procedure** into deterministic, automated, workflows in minutes.\n\n![uploaded image](/media/?type=post&id=106986&key=user_uploads/334623/8df4940f-c6ec-41e1-a6a5-4ccd6476667b)\n\n**2.** We generate dozens of **test cases**, including edge cases, and fully test the workflow.\n\n![uploaded image](/media/?type=post&id=106986&key=user_uploads/334623/940aa8f9-9728-47ef-9a5c-81648c0b28b8)\n\n**3.** Once tested, you can **trigger the workflow** to run it in whichever way you prefer - be it API, our scheduler, a JIRA ticket.\n\n![uploaded image](/media/?type=post&id=106986&key=user_uploads/334623/2ee48bae-3d66-487c-9e70-9ab859eb0b02)\n\n**4. You have full visibility and control:** all workflows are version controlled, and each action is auditable and traceable. You can include humans-in-the-loop where needed. All analytics live directly in your dashboard.\n\nRapidfolio provides “innate abilities” like automated web browsing, document reading/analysis, comprehensive summaries, human-level judgment, to name a few. Additionally, Rapidfolio integrates easily into your **existing tech stack**. We have built-in integrations with leadings operations, compliance and fraud vendors in the financial services industry.\n\nWe are SOC 2 compliant, and are **live with customers across the U.S. and Canada.**\n\n\\\n**The Team:**\n\n**Naveen Qureshi:** CEO and co-founder, Rapidfolio\\\nPreviously was co-founder & CEO of Sable (S19) that I built, scaled and sold. After Sable’s exit, I built and launched additional credit products with [Seen.com](http://Seen.com). Ex Capital One, Amazon, Target. Columbia Business School.\\\n\\\n**Frederik Vanhevel:** CTO and co-founder, Rapidfolio\\\nPreviously built the entire banking stack for two fintechs from scratch. First, as founding engineer at Sable (S19), where he shipped the entire banking stack in a record 3 months, pre-AI. And after Sable’s exit, with Seen.com. Fred also built internal tools for back-office staff at both fintechs, and is passionate about automating the more tedious workflows with Rapidfolio.\\\n\\\nReach out directly: [founders@rapidfolio.com](mailto:founders@rapidfolio.com) or book a demo: \n\n![uploaded image](/media/?type=post&id=106986&key=user_uploads/334623/a7390ea6-c745-4d74-9505-8a42ee86603c)\n\n", "url": "https://www.ycombinator.com/launches/Rpa-rapidfolio-ai-platform-for-compliance-operations-risk-fraud-for-fintechs-and-banks", "votes": 28, "created_at": "2026-07-23T18:42:29.801Z" } ] }, { "id": 31182, "name": "Visibl Semiconductors", "slug": "visibl-semiconductors", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/c9acdb09765b62086883672feeb576e191249bff.png", "website": "https://visiblsemi.com", "all_locations": "San Francisco, CA, USA", "long_description": "Visibl Semiconductors makes custom silicon accessible to hardware companies, starting with power electronics. We are an AI-native custom-silicon design partner that cuts ASIC development cost and timeline on mature nodes, helping teams deliver better performance and lower BOM cost.\r\n\r\nWe work with data-center and AI-infrastructure power, motor drives, industrial automation and robotics, industrial power supplies and conversion, battery systems and e-mobility powertrains, EV charging, solar, energy storage, grid power, HVAC, heat pumps, and appliances.\r\n\r\nV1 boards built from off-the-shelf parts are great for getting to market quickly, but scaling to v2+ volume requires optimizing cost, size, and manufacturability. Visibl folds those parts into custom silicon built around the product: a simpler BOM, reclaimed board space, fewer supply constraints, and automation-ready assembly.\r\n\r\nWe manage the full path from architecture and design through verification, fabrication, packaging, and production-ready silicon, working alongside hardware teams so they do not need an in-house chip team.", "one_liner": "Custom silicon for power electronics", "team_size": 3, "industry": "B2B", "subindustry": "B2B -> Engineering, Product and Design", "launched_at": 1767637338, "tags": [ "Hard Tech", "Enterprise", "Enterprise Software", "Semiconductors", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Winter 2026", "status": "Active", "industries": [ "B2B", "Engineering, Product and Design" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/visibl-semiconductors", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2026/visibl-semiconductors.json", "year_founded": 2024, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/visiblsemi/", "x_url": "https://x.com/visiblsemi", "fb_url": null, "cb_url": "https://www.crunchbase.com/organization/visibl-semiconductors", "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/c9acdb09765b62086883672feeb576e191249bff.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Tyler Bosmeny", "url": "https://www.ycombinator.com/people/tyler-bosmeny" }, "founders": [ { "user_id": 931842, "full_name": "Bryce Neil", "title": "Founder/CEO", "founder_bio": "Co-founder & CEO at Visibl Semiconductors. Passionate technologist and recipient of two of Canada’s most competitive academic scholarships. Bryce is a computer engineer with experience across engineering, data, and business. He has built production software and data systems for Deloitte’s OmniaAI team, healthcare, and the public sector. His work has run in leading U.S. hospitals and supported teams globally.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/bryceneil/", "x_url": "https://x.com/BryceNeil__", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/f4a73099532b0428b2822b3d566c3aa58aa1a33e.jpg" }, { "user_id": 2574530, "full_name": "Jordon Kashanchi", "title": "Founder/CTO", "founder_bio": "Co-founder & CTO of Visibl Semiconductors. Jordon previously worked at Microsoft, Arm, and Intel, building expertise in AI accelerators, autonomous vehicle hardware, and graphics. Most recently at Microsoft, he designed digital logic and microarchitecture for next-gen custom AI silicon. He holds an MS in ECE from UT Austin and is published in PNAS and ACM.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/jordon-kashanchi-46357b143/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/8c29f07f5f652b30a9a450937d9ee7519a73abfa.jpg" } ], "jobs": [ { "id": 113109, "title": "Senior Digital IC Engineer — RTL Design & Verification", "url": "https://www.ycombinator.com/companies/visibl-semiconductors/jobs/o2iGDo7-senior-digital-ic-engineer-rtl-design-verification", "location": "Remote (US)", "type": "Contract", "role": "Engineering", "role_type": "Hardware", "salary_range": "$180K - $250K", "equity_range": "", "experience": "6+ years", "visa": "US citizen/visa only", "skills": [ "Verilog", "FPGAs" ] } ], "news": [], "launches": [ { "id": 97968, "title": "Visibl Semiconductors: The First AI-Enabled Coordination Layer for Chip Design", "tagline": "Meet Visibl, The First AI-enabled Coordination Layer for Chip Design", "body": "Hey everyone 👋\\\nWe’re Bryce and Jordon, co-founders of VISIBL SEMICONDUCTORS™\\\n\\\n**Launch video:** \n\n---\n\n**TL;DR**\\\n_Visibl is the first coordination layer for chip design._ Requirements, architectural intent, and implementation drift out of sync as designs and teams scale. Visibl surfaces drift early, opens cases with evidence, and delivers review-ready fixes enabling improved schedule, cost, and risk outcomes in chip design.\n\nCheck out LinkedIn post here:\\\n\n\n**Problem**\\\nCoordination has always been a human job: monitoring drift, triaging failures, keeping the schedule aligned. It demands constant vigilance, reacting to failures, proactively scanning for issues, always watching.\n\nAs designs scale, no one can hold all that context: the specs, the implementation, the test results, the decisions scattered across Slack, Jira, and docs. Issues slip through. Drift compounds. We saw this firsthand. There was no software to solve it. So we're building it.\n\nOur experience spans chip design and high-stakes production systems. We're solving a problem there was never enough human bandwidth to address, but one that directly impacts the most important outcomes in chip design: schedule, cost, and risk.\n\n**What Visibl Does**\\\n\\\n**Monitors** - specs, implementation, CI, and all design collateral to detect drift early\n\n**Investigates** - creates cases with evidence: spec sections, RTL refs, CI logs, historical decisions\n\n**Proposes** - agents suggest fixes, run verification, package review-ready diffs\n\n**Gates** - human approval required, nothing ships without explicit sign-off\n\n### —\n\n\\\n**Results**\\\n\\\n**Schedule** - Eliminate weeks lost waiting for the one engineer with context to debug failures\n\n**Cost** - 10x less engineering overhead on triage; your team builds instead of firefighting\n\n**Risk** - Catch issues early to minimize rework; avoid late-stage surprises that lead to $10M+ respins\\\n\\\n\\\n\\\n\\\n**Instant Dispatch & Case Creation**\n\n![uploaded image](/media/?type=post&id=97968&key=user_uploads/931842/d732540d-c0f2-416d-9402-378b41735ffe)\n\nAgents spin up immediately on regressions, failing PR checks, spec updates, and more. Visibl opens a case automatically.\n\n---\n\n# \n\n—\n\n\\\n**Evidence Bundle**\n\n![uploaded image](/media/?type=post&id=97968&key=user_uploads/931842/e869a320-410e-4c42-9126-535bd4c9b4be)\n\n\\\nEach case comes preloaded with spec sections, RTL refs, CI logs, and decision history.\n\n# \n\n—\n\n\\\n**Recommended Fix**\n\n![uploaded image](/media/?type=post&id=97968&key=user_uploads/931842/d5e63a58-2b58-4e78-8278-652a0808b651)\n\nVisibl proposes three fix paths and recommends the best one for approval. User can also clarify and specify their own intent.\n\n# \n\n—\n\n\\\n**Verified Review-Ready Diff**\n\n![uploaded image](/media/?type=post&id=97968&key=user_uploads/931842/45650b40-9fc2-477a-8ffa-8c29cf6bac09)\n\nApproved changes are applied, verified, and packaged as a review-ready diff with results.\\\n\\\n\\\n\\\n**Role-Based, Team-Based, and Individual Views**\n\n![uploaded image](/media/?type=post&id=97968&key=user_uploads/931842/2c568efd-b5a0-42db-be95-97f9cbfde4d8)\n\nRole-specific views surface the same underlying truth at the right level of detail. For example, the executive view shows how Visibl ambiently ingests signals across the org and distills them into what leaders care about most—readiness, schedule impact, and top tapeout risks—so they can take action quickly. **Visibl also lets executives (and every role) act directly on these insights, drill into the underlying evidence, assign owners, and drive cases to resolution.**\n\n\\\n**Our Ask**\\\n\\\n**If you have a friend who designs chips at a semiconductor or hardware company, we would really appreciate an intro.** Even a quick forward of this post helps.\\\n\\\nIf you are a:\n\n* _DV / CI owner_\n* _Design methodology / flow owner_\n* _Team heading into integration, freeze, or pre-tapeout_\n\n…we’d love to talk.\n\n**Schedule a demo:** [**founders@visiblsemi.com**](mailto:founders@visiblsemi.com)\n\n---", "url": "https://www.ycombinator.com/launches/PU8-visibl-semiconductors-the-first-ai-enabled-coordination-layer-for-chip-design", "votes": 13, "created_at": "2026-02-19T15:43:41.410Z" } ] }, { "id": 31378, "name": "GodHands", "slug": "godhands", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/5ec540989c0e572731406bc02714d7608e407cc3.png", "website": "https://godhands.ai", "all_locations": "San Francisco, CA, USA", "long_description": "GodHands learns how your teams actually work from the apps they already use, capturing the steps, decisions and exceptions that never get written down. It turns them into knowledge and playbooks, gives people and AI agents the answers, and builds agents that do the work the same way. Teams use GodHands to run operations, onboard new hires, hand over roles, integrate acquisitions and automate repetitive work.", "one_liner": "Turn how your team works into playbooks and agents.", "team_size": 2, "industry": "B2B", "subindustry": "B2B -> Operations", "launched_at": 1777151399, "tags": [ "B2B", "Enterprise", "Automation", "Operations", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Fall 2026", "status": "Active", "industries": [ "B2B", "Operations" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/godhands", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2026/godhands.json", "year_founded": 2026, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/godhands-yc-f26/", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/5ec540989c0e572731406bc02714d7608e407cc3.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Nicolas Dessaigne", "url": "https://www.ycombinator.com/people/nicolas-dessaigne" }, "founders": [ { "user_id": 905009, "full_name": "Sai Vamshi Batchu", "title": "Founder/CEO", "founder_bio": "Co-founder & CEO of GodHands. We learn how companies actually operate and turn that knowledge into playbooks and answers for people and AI agents. Previously a quantitative researcher at Graviton, a high-frequency trading firm. IIT Kharagpur CS.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/sai-vamshi-129256194/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/3902d7acdca00531052656882bd8ae31e78f23ba.jpg" }, { "user_id": 3245390, "full_name": "Aditya Bommakanti", "title": "Founder/CTO", "founder_bio": "Co-founder & CTO of GodHands. We capture how work gets done, including the decisions and exceptions, so people and AI agents can carry it forward. Previously built low-latency systems at Graviton, a high-frequency trading firm. Research at UTokyo and Aarhus University. Published research at NeurIPS. IIT Delhi CS.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/aditya-bommakanti-6b035321a/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/eb214e7534bbad4c8c5a52ca3cd46359cf65852c.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 122209, "title": "GodHands: Agents that learn by watching your best people", "tagline": "The know-how your team runs on was never written down. GodHands learns it from the work itself.", "body": "We're[ Sai Vamshi](https://www.linkedin.com/in/sai-vamshi-batchu-129256194/) and[ Aditya](https://www.linkedin.com/in/aditya-bommakanti-6b035321a/), IIT engineers from high-frequency trading, building[ GodHands](https://godhands.ai).\n\n**TL;DR:** GodHands learns how tasks really get done across apps, no integrations required, and turns it into playbooks your team and agents follow. Ops, support and sales teams can save millions in lost know-how and hours of repetitive work every week. Reach out for a demo!\\\n\n\n**❌ The problem**\n\nAt our previous company, a key person left. Nobody knew how they did their work. The team kept calling them long after they'd gone, and it took months to get back on track.\n\nEvery company has people like that. None of what they know is written down.\n\nThey know how to handle the refund that doesn't fit the policy, which customer gets a call instead of an email, and which spreadsheet is actually right.\n\nSo when they leave, teams fall back on handover docs, SOPs nobody updates, and weeks of shadowing.\n\nToday's AI doesn't fix this. Agents know the internet, not how your best people work. AI knowledge tools (\"company brains\") read your docs and Slack, so they only know what someone wrote down.\n\n**✅ The solution**\n\n* **Never lose know-how when people leave.** GodHands learns how tasks get done across every app, including the steps, the decisions, and the exceptions. Nothing to integrate to start learning.\n* **Hand over work in days, not weeks.** GodHands turns that work into playbooks with sources, kept up to date, so whoever takes over does it the same way.\n* **Agents do the work.** GodHands follows those playbooks in any app, like Slack, Zendesk, Gmail, Jira, and Salesforce. Your existing agents can use them too, so your team gets hours back every week.\n* **Get new hires productive faster.** They ask GodHands how things are done and get answers from how your best people actually work, with sources.\n\n![uploaded image](/media/?type=post&id=122209&key=user_uploads/3245390/6aa30075-0890-4e4e-b43c-3c2db71719d9)\n\nBuilt for ops, sales, and CX teams, logistics and retail operators, PE and M&A teams taking over a company, and any manager whose best person just handed in their notice.\n\n**The team**\n\n![uploaded image](/media/?type=post&id=122209&key=user_uploads/3245390/2738fb55-3098-428c-96ad-e59b216115dd)\n\n**Sai Vamshi Batchu (CEO)** was a quantitative researcher at Graviton, India's largest HFT firm. IIT Kharagpur, CS.\n\n**Aditya Bommakanti (CTO)** built low-latency systems at Graviton, India's largest HFT firm and has published research at NeurIPS. IIT Delhi, CS.\n\nWe spent years building systems that learn from data and act on it. Now we're building one that learns from your best people.\n\n**Our ask**\n\nLet's talk if:\n\n* You want to understand how your team works, including the knowledge in people's heads\n* You want smarter agents to take on repetitive work, done the way your best people do it\n* Someone critical is leaving, or you're taking over a team or company\n\n[**Book a time**](https://calendly.com/founders-godhands/intro-call) or email [**founders@godhands.dev**](mailto:founders@godhands.dev).\n\n**Know a Head of Ops, VP of Support, or a PE operating partner?** We'd love an intro.", "url": "https://www.ycombinator.com/launches/Vn7-godhands-agents-that-learn-by-watching-your-best-people", "votes": 11, "created_at": "2026-10-15T13:30:00.116Z" } ] }, { "id": 31424, "name": "Lab0", "slug": "lab0", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/e54ac65b683433835143a5b5da2159a7c9445255.png", "website": "https://lab0.ai", "all_locations": "Bengaluru, KA, India", "long_description": "Enterprise software implementation is broken, and it has been for decades. \r\nEvery rollout, whether it's a traditional ERP or a new AI system, requires months of manual integration, configuration, and tuning done by armies of system integrators and forward-deployed engineers. \r\nLab0 builds agentic systems that automate this layer, compressing months-long implementations into weeks.", "one_liner": "AI FDEs to make your B2B SaaS Go Live in Days, not Months", "team_size": 7, "industry": "B2B", "subindustry": "B2B", "launched_at": 1775188246, "tags": [ "SaaS", "B2B", "Enterprise", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Spring 2026", "status": "Active", "industries": [ "B2B" ], "regions": [ "India", "South Asia" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/lab0", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2026/lab0.json", "year_founded": 2026, "city": "Bengaluru", "country": "IN", "linkedin_url": "https://www.linkedin.com/company/lab0-hq", "x_url": "https://x.com/lab0_ai", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/e54ac65b683433835143a5b5da2159a7c9445255.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Nicolas Dessaigne", "url": "https://www.ycombinator.com/people/nicolas-dessaigne" }, "founders": [ { "user_id": 2088764, "full_name": "Onkar Borade", "title": "Founder/CEO", "founder_bio": "Lab0 | IITB CSE | \nRebuilding the services industry through a Productized Approach ", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/onkar-borade/", "x_url": "https://x.com/onkar_borade_10", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/6aa6e774265df40c5c857dcaeecb27433fd15a5d.jpg" }, { "user_id": 881443, "full_name": "Lakshya Gupta", "title": "Founder/CTO", "founder_bio": "Building agents to deploy agents at Lab0.ai. Always down to talk about model quirks.\n\nPreviously was a founding engineer at Emergent (YC S24) - scaled it from 0 to $70M ARR - leading integrations, evals and deployments. \n\nStudied Computer Science at IIT Bombay. \n\nMore brags - \nWas All India Rank 12 in JEE Advanced 2020 and won a Bronze medal for India at the Asian Physics Olympiad 2019 held in Australia. \n\n", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/lakshya-gupta-0030771ba/", "x_url": "https://x.com/tokenaware", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/024ba893c8a888c3018b9041c9463b62f8097cc8.jpg" }, { "user_id": 2014953, "full_name": "Sujay Srivastava", "title": "Founder", "founder_bio": "Striving towards 0-day Enterprise software Implementation with Lab0 (YC P26)\nIIT Madras Quantum Computing grad\n", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/sujaysriv/", "x_url": "https://x.com/SujaySriv", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/6ea42801eadb04d621edea8b40e418fde37042a7.jpg" } ], "jobs": [ { "id": 102876, "title": "Founding Engineer", "url": "https://www.ycombinator.com/companies/lab0/jobs/hlPvGkT-founding-engineer", "location": "Bengaluru, Karnataka, IN", "type": "Full-time", "role": "Engineering", "role_type": "Backend", "salary_range": "$30K - $60K", "equity_range": "0.10% - 1.00%", "experience": "3+ years", "visa": "US citizenship/visa not required", "skills": [ "Software Architecture", "AI Agents" ] }, { "id": 109013, "title": "Founding Product Marketer (AI-native)", "url": "https://www.ycombinator.com/companies/lab0/jobs/BEZKXau-founding-product-marketer-ai-native", "location": "Bengaluru, KA, IN / Bengaluru, Karnataka, IN", "type": "Full-time", "role": "Marketing", "role_type": null, "salary_range": "₹1.5M - ₹4M INR", "equity_range": "0.05% - 0.50%", "experience": "3+ years", "visa": "Will sponsor", "skills": [ "Marketing design", "AI Agents" ] }, { "id": 111521, "title": "Forward Deployed Engineer (FDE)", "url": "https://www.ycombinator.com/companies/lab0/jobs/mb7xcXo-forward-deployed-engineer-fde", "location": "Bengaluru, Karnataka, IN", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$35K - $70K", "equity_range": "0.05% - 0.50%", "experience": "3+ years", "visa": "US citizenship/visa not required", "skills": [ "Software Architecture", "AI Agents" ] }, { "id": 115426, "title": "Founding GTM (AI-native)", "url": "https://www.ycombinator.com/companies/lab0/jobs/WODO2Yc-founding-gtm-ai-native", "location": "Bengaluru, KA, IN", "type": "Full-time", "role": "Sales", "role_type": null, "salary_range": "$25K - $50K", "equity_range": "0.10% - 1.00%", "experience": "1+ years", "visa": "US citizenship/visa not required", "skills": [] } ], "news": [], "launches": [ { "id": 101609, "title": "Lab0 - AI FDE for Enterprise Software", "tagline": "Deploy enterprise software in days, not months", "body": "Enterprise software takes months to go live after the sale. Imagine paying for an app on the app store but not being able to use it for 6 months. [Lab0](https://lab0.ai/) solves exactly this.\n\nWe’re building an AI FDE that automates entire post-sales delivery for software companies - all from discovery, solution design, config, to testing and go-live. We’re currently working with Adobe and a couple of system integrators.\n\nThe future of enterprise software is self-serve, where enterprises buy a product, and it gets configured by agents.\n\n[Lab0](https://www.linkedin.com/company/lab0-hq/) is the AI FDE making that real: 6 months → 10 days.\n\n\n\n# **The problem**\n\nIf you've sold to an enterprise, you know this already.\n\nA $200K contract lands. Hand off to post-sales. On a deeper technical discovery of your client’s processes, you realize you need a lot of custom changes to serve them.\n\nThat's the hidden tax on every enterprise sale, 3 months of bespoke FDE / Solution Architect’s work, rebuilt from scratch for every customer. That’s 3 months of lost value for the customer.\n\nEither you wait months to start billing, or somehow show enough ROI in the remaining duration of the contract to get a renewal.\n\n# **What we built**\n\n[Lab0](https://www.ycombinator.com/companies/lab0) is the AI FDE for your (AI?) B2B SaaS. It joins discovery calls and tells you what to ask, generates handoffs, design documents and test plans. It even configures the product, writes custom integrations and tests all the workflows before signing off.\n\n_Six months of services work, done in days._\n\n# **Who we are**\n\n[Onkar Borade](https://www.linkedin.com/in/onkar-borade/) , CS grad from IIT Bombay, saw the problem from inside Oracle, where the implementation team was bigger than the dev team.\n\n[Lakshya Gupta](https://www.linkedin.com/in/lakshya-gupta-0030771ba/) , also CS from IIT Bombay, was an early engineer at Emergent Labs where he scaled the Agent platform from 0 to $100M in ARR with over 5M users.\n\n[Sujay Srivastava](https://www.linkedin.com/in/sujaysriv/) , quantum computing grad from IIT Madras, was building an AI startup for BFSI, where every rollout felt like its own custom project.\n\nWe've sat on every side of an enterprise deployment, and [Lab0](https://www.linkedin.com/company/lab0-hq/) is the software we wished we'd had on every one of those projects.\n\n# **Our ask**\n\n**1. Are you a company selling to enterprises where implementation is eating your team's time?** We'll take one of your hardest customer deployments and run it end-to-end; you'll see the value firsthand.\n\n**2. Intros to Professional Services leaders / Customer Success / Solutions Architects** at enterprise software companies with 20+ person implementation teams. If you've seen this pain from a previous job - even from across the aisle in a product or engineering role, a warm intro goes a long way.\n\nDrop an email at [founders@lab0.ai](https://mail.google.com/mail/?view=cm&fs=1&to=founders@lab0.ai)\\\nor\\\nBook a call at [Lab0-Calendly_Link](https://calendly.com/d/ctzx-ndw-n8b/office-hours-with-lab0)", "url": "https://www.ycombinator.com/launches/QQr-lab0-ai-fde-for-enterprise-software", "votes": 20, "created_at": "2026-05-20T03:31:19.320Z" } ] }, { "id": 31428, "name": "Ontora", "slug": "ontora", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/51ba58b94e0a45c3a3cc270067fe72dcf1f9027e.png", "website": "https://ontora.com", "all_locations": "Berlin, Berlin, Germany", "long_description": "Ontora is an AI Agent that interviews every employee to map how work actually gets done and identify bottlenecks. Consultants spend months doing this manually; Ontora does it in hours.\r\n\r\n", "one_liner": "AI agents that interviews every employee to hand context to AI tools. ", "team_size": 3, "industry": "B2B", "subindustry": "B2B -> Operations", "launched_at": 1773487694, "tags": [ "Robotic Process Automation", "Enterprise", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Spring 2026", "status": "Active", "industries": [ "B2B", "Operations" ], "regions": [ "Germany", "Europe" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": [ { "question": "How did your company get started? (i.e., How did the founders meet? How did you come up with the idea? How did you decide to be a founder?)", "answer": "Max led process optimization at Porsche. David built data pipelines in finance. Leon built AI automations at consultancies. They all noticed critical knowledge is trapped inside people's heads and never reaches the people who need it.\r\n\r\nThe team then felt inspired to work on the problem after a tour to Stockholms fastest scaling startups organized by Max, where all three decided to quit their jobs and start a company. " }, { "question": "What is the core problem you are solving? Why is this a big problem? What made you decide to work on it?", "answer": "Every company already has the answers to most of the questions leadership is asking.\r\n\r\nThe problem: those answers are scattered across hundreds of people, and there's never been a practical way to ask every single employee.\r\n\r\nSo leaders make crucial decisions with partial information or spend months and millions on external consultants to retrieve what the org already knows.\r\n\r\n**What we're building**\r\n\r\nOntora is an AI agent that has a real conversation with every employee in your company within hours.\r\n\r\nIt learns, follows up, and surfaces what people actually do and where they get stuck.\r\n\r\nWe deliver two things: a synthesized answer to the specific question leadership couldn't crack in their last business review (themed insights, process maps, automation roadmap with ROI), and a continuously refreshed operational context that humans and AI agents can both reason over." }, { "question": "What is your long-term vision? If you truly succeed, what will be different about the world?", "answer": "Answers in hours instead of months. We imagine truly intelligence native companies that unlock the last proprietary data source left in the enterprise: operational knowledge living in your employees heads.\r\n\r\nEnabling cost reduction, post-merger integration, and AI transformation… within hours and at a fraction of the cost of traditional consulting." } ], "url": "https://www.ycombinator.com/companies/ontora", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2026/ontora.json", "year_founded": 2026, "city": "Berlin", "country": "DE", "linkedin_url": "https://www.linkedin.com/company/ontora/", "x_url": "https://x.com/ontoratech", "fb_url": null, "cb_url": "https://www.crunchbase.com/organization/ontora", "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/51ba58b94e0a45c3a3cc270067fe72dcf1f9027e.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/77783f688ca955fad6bf02d0bcff0d2288011691.png", "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/2750bcd85d7a83625c723e8099b143de9e784edb.png" ], "primary_partner": { "name": "Tom Blomfield", "url": "https://www.ycombinator.com/people/tom-blomfield" }, "founders": [ { "user_id": 1846571, "full_name": "Leon Iwanowitsch", "title": "Founder/CEO", "founder_bio": "AI Consulting for Enterprise; 🇨🇭 University of St.Gallen (Europe's #1 Business School), Built Europe's largest Early-Stage StartUp Conference (7k participants e.g. Eric Schmidt), Helped raise 15m Solo GP Fund, Angel Investor", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/leon-j-iwanowitsch/", "x_url": "https://x.com/LeonIwanowitsch", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/091999d38e676fd36c0ab9735d1282401ca33cfe.jpg" }, { "user_id": 2165528, "full_name": "Maximilian Arnold", "title": "Founder/COO", "founder_bio": "1st AI Engineer @ Porsche in procurement. CS at CODE University and Stanford. Won +$80k in hackathons. Built the official honors exchange partnership to Stanford. ", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/arnold-max/", "x_url": "https://x.com/maxonary", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/02f8fee9ed1318020c091b986f7dca072ada839b.jpg" }, { "user_id": 1178744, "full_name": "David Korn", "title": "Founder/CTO", "founder_bio": "AI Projects @ Google, exited previous company to beglaubigt.de (YC F24), Computer Science at CODE University (founded by the largest German Unicorn founders)", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/korn-david/", "x_url": "https://x.com/dav1dk0rn", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/23e82b31b5c7d2f8705c94bdbec42ae0b85ac474.jpg" } ], "jobs": [], "news": [ { "title": "Y Combinator P26: Ontora KI-Agenten, Verborgenes Wissen – Ieon Iwanowitsch, Maximilian Arnold, David Korn", "url": "https://startup-insider.com/podcast/y-combinator-p26-zwei-monate-alt-ki-agenten-weltweiter-inbound-ieon-iwanowitsch-maximilian-arnold-david-korn/", "date": "Apr 27, 2026" } ], "launches": [ { "id": 102685, "title": "Ontora - The Discovery Layer for AI Transformation", "tagline": "5 enterprise customers, 150+ inbound demos (all a month after launch)", "body": "# **One month ago we launched Ontora. Here's what happened**\n\n### Our progress\n\n\\- 5 enterprise customers as design partners (many more to come ;)\\\n\\- 150+ inbound demo calls — we didn't do outbound, they came to us\\\n\\- $700K raised before officially opening our round\\\n\\- 80+ inbound VC calls already lined up for our fundraise\n\n\n\nAnd we released our product live with our first customers !\n\n**1. Why companies are banging down our door:**\n\nEvery company we talk to has the same story: they bought Claude licenses for their teams but merely use it to rewrite emails. The AI transformation stalled because nobody mapped what to actually automate.\n\nThat's the real bottleneck. Not code. Context.\n\nA 800-person European media agency flew to San Francisco to meet us after realizing they'd need 4-5 months and a team of consultants just to understand their own operations. With Ontora, they can map their entire company in days.\n\n![uploaded image](/media/?type=post&id=102685&key=user_uploads/1178744/2bd9ca28-443a-46ef-af8c-ad76dd2d6a9f)\n\n**2. What Ontora does for your company:**\n\nOntora deploys AI agents that interview every employee in your company -- not once, but continuously -- to map out how work actually gets done. We turn that into a living context layer that your AI agents can act on.\n\nWhat used to take a consulting firm 4 months and 50-100 manual interviews, Ontora does in days. And because interviews run continuously, your context layer never goes stale. Your organization keeps learning about itself.\n\n![uploaded image](/media/?type=post&id=102685&key=user_uploads/1178744/56b07749-ae1e-4244-9064-d1dd122baecc)\n\nHere's how it works:\n\n1. **Deploy** -- Ontora's AI agents reach out to employees across your org through async interviews, meeting them where they work\n2. **Map** -- Every interview extracts processes, decision rules, tools used, handoffs, and tribal knowledge into structured operational maps\n3. **Act** -- The living context layer feeds directly into your AI agents and automations so they have the real-world context they need to perform\n\n\n\n**3. Who's already using Ontora:**\n\n* **A PE firm in San Francisco** -- deploying Ontora across portfolio companies to drive operational efficiency at speed no consulting firm can match\n* **A major European media agency (800+ employees)** -- building their corporate memory to manage enterprise customers like Volkswagen and Bosch\n* **A 1,000-person European roll-up** -- mapping what their remote workforce actually does day-to-day to build a concrete AI automation roadmap\n* **A US facilities maintenance marketplace** -- extracting the proposal rules and customer preferences locked in their sales team's heads to build the context layer for their AI automations\n\n**4. We want to hear from you:**\n\n* If your mid-market company (200-2,000 employees) is planning AI transformation...\n* If your PE/VC firm wants to drive efficiency across portfolio companies...\n* If your company spent 6 figures on consultants to map processes...\n\n...we need to talk.\n\n[ontora.com/demo](https://ontora.com/demo)", "url": "https://www.ycombinator.com/launches/QiD-ontora-the-discovery-layer-for-ai-transformation", "votes": 122, "created_at": "2026-06-08T17:25:40.562Z" }, { "id": 99850, "title": "Ontora - Read your company like a book", "tagline": "We interview every employee to surface what no CEO can see", "body": "We’re [Max](https://www.linkedin.com/in/arnold-max/), [Leon](https://www.linkedin.com/in/leon-j-iwanowitsch/) and [David](https://www.linkedin.com/in/korn-david/) co-founders of [Ontora](https://ontora.com/).\\\n\\\n**TL;DR**\\\n**Ontora is an AI agent that interviews every employee in your company to map how work actually gets done.** Most operational knowledge never gets documented, it lives in people's heads. That’s crucial context inaccessible to decision-makers and AI agents.\\\n**_Ask:_** Imagine you could talk to every employee in your company within 24 hours - What would you ask? Send us your questions. We'll get you the answers: \\\n\\\nOur Launch Video: \\\n\\\n**Problem**\\\n**Poor knowledge sharing costs Fortune 500 companies $31.5 billion every year.**\n\n* **The knowledge lives in people's heads:** 80% of operational knowledge is tacit and never documented\n* 42% of what an employee produced cannot be covered by other colleagues\n* Employees lose 5.3 hours per week searching for information and filling gaps\n* A 1,000-employee company loses $2.4M per year in productivity due to these gaps\n* **AI can't read minds (yet):** 95% of enterprise GenAI pilots deliver zero measurable business impact. Agents fail because they have no context for how operations actually run.\n\n**Solution**\\\nYou pick a question your last business review meeting couldn't answer. Ontora interviews every employee and gets you the insights within 24 hours.\\\nIt’s not a survey! A real conversation that digs deeper and surfaces what nobody thought to ask about.\\\nBuild your company's operational memory to finally operate with complete clarity:\n\n* **Synthesized findings**: Themed insights with impact ratings, an executive summary, and actionable recommendations\n* **Process mapping**: Visual process maps of how work actually flows across teams\n* **Automation roadmap**: Concrete opportunities with ROI estimates, ready to act on\n* **Proprietary context for your AI tools:** Ontora turns what your people know into a proprietary data source your AI stack can finally work with.\n\n ![uploaded image](/media/?type=post&id=99850&key=user_uploads/1178744/68dcb300-dc42-4b79-aa10-9f8ec09af0f4)\n\n", "url": "https://www.ycombinator.com/launches/PyU-ontora-read-your-company-like-a-book", "votes": 144, "created_at": "2026-04-17T15:35:36.009Z" } ] }, { "id": 31461, "name": "Collar", "slug": "collar", "former_names": [ "Collar AI" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/35110e6bdfbfbf5706627685cbb370e170ff4a03.png", "website": "https://usecollarai.com", "all_locations": "San Francisco, CA, USA", "long_description": "We are a team of ex-intelligence, ex-finance, and most importantly, ex-founders who have known each other for over 5 years.\r\n\r\nCollar is redefining investor relations. \r\n\r\nRight now, investor relations is an under-appreciated yet sweeping function. \r\nThey have a bird’s eye view of what external stakeholders want, and also work with internal business units to create a grand vision of a company’s future.\r\n\r\nBut they’re doing it with their hands tied behind their back.\r\n\r\nFinance AI tools today are built for investors not investor relations, leaving teams using ad-hoc unreliable workarounds, and CFOs are stuck always reporting rather than acting on insights to optimize operational workstreams.\r\n\r\nBefore earning calls, Collar prepares CFOs through proactive earnings calls prep, investor targeting and fully citation-backed live teleprompters, saving them hours of work.\r\n\r\nAfter earning calls, CFOs use Collar’s trusted agentic AI systems to optimize identified underperforming workstreams with little manual modification needed. \r\n\r\nRedefining investor relations from a tedious cost centre headache, into a whole-of-company profit maximising function.\r\n", "one_liner": "AI-Native Investor Relations", "team_size": 4, "industry": "B2B", "subindustry": "B2B", "launched_at": 1777111023, "tags": [ "Generative AI", "Finance", "Enterprise", "Operations", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Fall 2026", "status": "Active", "industries": [ "B2B" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/collar", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2026/collar.json", "year_founded": 2026, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/in/kazel-koh-en-yang-811172186/", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/35110e6bdfbfbf5706627685cbb370e170ff4a03.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/a7b196143aabccefde2125bed1293d94ee1ce90f.png" ], "primary_partner": { "name": "Grey Baker", "url": "https://www.ycombinator.com/people/grey-baker" }, "founders": [ { "user_id": 527234, "full_name": "Kazel Koh En Yang", "title": "Founder/CEO", "founder_bio": "CEO/Co-founder at Collar (YC F26)\n\nI co-founded a deep tech health-tech startup at 16 (triaging post-cataract surgery complications) as CEO as the only non-grad researcher under the National Graduate Research Innovation Program. Concurrently I became a patented inventor as the first and only Masayoshi Son Foundation (Softbank) scholar from Singapore, inventing a new chess-based technique to hacking.\nGIC Scholar (Singapore's Sovereign Wealth Fund), Ex-Private Credit, Ex-Military Intelligence.\n\n", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/kazel-koh-en-yang-811172186", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/69f13742bc25d13a6c4ad5737bae1c5fbd7c765d.jpg" }, { "user_id": 1147891, "full_name": "Jamie Yau", "title": "Founder/COO", "founder_bio": "COO/Co-founder at Collar (YC F26), building AI for public company investor relations. Previously Chief of Staff at one of Southeast Asia's largest billion-dollar asset manager. Before that, COO of Singapore’s largest youth-in-tech organisation leading a team of 80+, fellow at the U.S. Department of State, and the youngest contractor for the Singapore military. Ex-HS valedictorian. Started first company at 18. \n\nFrom the little red dot (Singapore), a decent golfer, and a wannabe chef. ", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/jamiey3u/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/a756280f98b60b685f9f7dc9991c3d9f03ac7a18.jpg" } ], "jobs": [], "news": [ { "title": "Singapore start-up Collar AI by poly grads makes it to Y Combinator | The Straits Times", "url": "https://www.straitstimes.com/world/united-states/from-little-red-dot-to-silicon-valley-singapore-start-up-by-poly-students-makes-it-to-y-combinator", "date": "Aug 07, 2026" } ], "launches": [ { "id": 117940, "title": "Collar: The AI for public company Investor Relations", "tagline": "Find the right investors. Prepare for earnings. Answer analyst questions live with approved company information.", "body": "Collar is the AI for public company investor relations.\n\nIR teams must know the whole company, its investors and the market. That knowledge lives across spreadsheets, emails, transcripts, teams and data providers.\n\nCollar turns mess into momentum. \n\n**Turns company context into a live teleprompter for the CEO**\\\nCollar's teleprompter surfaces the right figure, commitment or approved line the moment a question lands. Management answers with precision on every earnings call.\n\n**Turns repeat questions into instant answers**\\\nCollar's Q&A bot lives on your IR website and answers investor questions from your filings, transcripts and approved messaging. Anything sensitive goes to IR’s inbox first.\n\n**Turns memory into meetings that matter**\\\nCollar remembers every investor relationship since your IPO. It shows you a CRM of who to meet, why now, and gives you a brief before you walk in.\n\n**Turns scattered data into decisions**\\\nCollar reconciles conflicting information across departments, resolves who and what each data point refers to, checks freshness, so management can use an answer without having to manually verify it again.\n\nKazel and Jamie are second time founders with backgrounds in buy side investing and military intelligence. For two years, they have built AI that gathers intelligence from hard to reach places and turns it into action. They know how investors think because they have sat on that side of the table.\n\nSend us your ticker on [usecollarai.com](http://usecollarai.com)\\\nWe'll send you 10 portfolio managers you should target next quarter.", "url": "https://www.ycombinator.com/launches/UgG-collar-the-ai-for-public-company-investor-relations", "votes": 2, "created_at": "2026-10-06T18:00:00.095Z" } ] }, { "id": 31545, "name": "Modern", "slug": "modern", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/bc2a391c24694c5a70f0448e5a56886ff59f5cdc.png", "website": "https://getmodern.ai", "all_locations": "Melbourne, VIC, Australia", "long_description": "Modern is the AI coworker that automates the full order-to-cash journey for global finance teams. ", "one_liner": "Modern automates the entire order-to-cash process for B2B companies.", "team_size": 2, "industry": "B2B", "subindustry": "B2B -> Operations", "launched_at": 1775918136, "tags": [ "Finance", "B2B", "Enterprise", "Enterprise Software", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Spring 2026", "status": "Active", "industries": [ "B2B", "Operations" ], "regions": [ "Australia", "Oceania" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/modern", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2026/modern.json", "year_founded": 2026, "city": "Melbourne", "country": "AU", "linkedin_url": "https://www.linkedin.com/company/modernhq", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/bc2a391c24694c5a70f0448e5a56886ff59f5cdc.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Aaron Epstein", "url": "https://www.ycombinator.com/people/aaron-epstein" }, "founders": [ { "user_id": 1854581, "full_name": "Seb Poole", "title": "Founder/CEO", "founder_bio": "Building the AI-native ServiceNow.\n\nSerial founder, most recently Frankie now Unmind (Disney, Uber, Lendlease, the MLB as customers, 100m+ raised).", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/seb-poole/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/d9f95185b77eb69716b5e6e6be2b6c680e98740f.jpg" }, { "user_id": 1862452, "full_name": "Aleks Tomovski", "title": "Founder/CTO", "founder_bio": "I've spent 15+ years building developer platforms, starting as part of the core team on Wix Code (now Wix Studio), where we helped empower millions of citizen developers before it was a buzzword. I then scaled a startup through Southeast Asia, before joining Canva where I led their internal developer platform. \n\nI left to co-found Modern with Seb, bringing the same platform-building instincts to IT automation.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/atomovski/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/53bde24f2b11eaa6b7c973874410330dff73bc2e.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 101078, "title": "Modern: the AI-native IT function", "tagline": "Secure agents that automate help desk, access, on/off-boarding, hardware, security, and procurement in the channels your team already uses", "body": "**TL;DR:**[ Modern](https://getmodern.ai) is consolidating the IT function into a single platform powered by secure agents who understand your business. Help desk, access, hardware, on/off-boarding, security, procurement are automated end-to-end inside the channels your team already uses (Slack, Teams, Email, Voice, WhatsApp, Telegram).\n\nLaunch video:\\\n\n\n**The problem**\n\nWe've spent over a decade buying and implementing clunky IT software (ServiceNow, Jira SM, Ivanti, Zendesk), staffing internal teams, and paying expensive MSPs to keep operations running. Seb previously co-founded Frankie/Unmind, Europe's leading digital mental health company (used by Disney, Uber, Lendlease, Standard Chartered, and the MLB). Aleks has been building developer platforms and scaling engineering teams at Wix and Canva, including Wix's first low-code platform.\n\nToday's ITSM platforms take months to implement, need weeks to design rigid automations, can't improve over time, and have always been hard to leave.\n\nSo we asked: what would this stack look like if it were AI-native from day one?\n\n\\\n**What is Modern**\n\nAn all-in-one secure IT function, Modern splits reasoning from actions which enables the unlock for secure AI in IT.\n\n* Requests are made in the tools where your team works → Slack, Teams, email, voice, WhatsApp, Telegram.\n* Agents reason about each ticket, and the actions they take are separate, code-based workflows derived from your SOPs, written in natural language, or installable skills you approve.\n* Every interaction feeds Modern to better understand your IT operations so automation coverage compounds over time.\n\nModern is for you if:\n\n* The Engineering or Operations teams are handling your IT requests\n* IT tickets pile up faster than your team can clear them\n* Access requests crawl through approval chains (manager → Finance → IT → resolved a week later)\n* On/off-boarding is manual, error-prone, and takes time\n* Compliance and audit prep means stitching logs together from a dozen disconnected tools\n* You’re concerned about security across your growing business\n* Hardware procurement and lifecycle still lives in spreadsheets\n* Your existing ITSM is rigid, expensive, and hasn't gotten smarter since the day you bought it\n* You're paying an MSP for repeatable work that should be automated and running 24/7\n\nWe currently see 80%+ automation across IT team requests.\n\n**If you're without an IT Team**\n\nWe'll get you set up, compliant, and running with a fully outsourced IT function. Book a time → .\n\n**If you're without an IT Service Management platform**\n\nAlternatively we are a completely standalone ITSM platform and would love to help you automate your internal IT/Operational requests. Book a time → .\n\n**If you're on ServiceNow, Jira SM, or any traditional ITSM/ESM**\n\nWe can sit on top of your existing ITSM/ESM platforms and automate 80%+ of the requests that come through these platforms. Live in a day. Book a time → .\n\nConnect with us to follow the journey:\n\n* [https://www.linkedin.com/in/seb-poole](https://www.linkedin.com/in/seb-poole/)\n* [https://www.linkedin.com/in/atomovski](https://www.linkedin.com/in/atomovski/)\n\n**Modern in practice**\n\nModern lives inside the channels your team already uses\n\n![uploaded image](/media/?type=post&id=101078&key=user_uploads/1854581/79e50fc8-c03c-4587-8840-881df31f9c7b)\n\nThey think about the tools and path to resolve the request:\n\n![uploaded image](/media/?type=post&id=101078&key=user_uploads/1854581/27a3b0aa-09c8-4230-a30a-76cc6cb4f99a)\n\nUsing secure deterministic workflows built via SOPs, natural language or suggested workflows derived from your data:\n\n![uploaded image](/media/?type=post&id=101078&key=user_uploads/1854581/e31e6190-aec5-4c69-b588-6ef6ff2de202)\n\nModern builds an understanding of your company’s decisions, actions, personnel and employee requests:\n\n![uploaded image](/media/?type=post&id=101078&key=user_uploads/1854581/b39758ec-3c90-404f-8b4a-538d7c415e1d)\n\nAnd via this understanding and your company’s knowledge base, more suggestions for both simple and complex resolutions are made:\n\n![uploaded image](/media/?type=post&id=101078&key=user_uploads/1854581/b8413f15-525f-4d34-9dfe-23f1b1eb4071)\n\n", "url": "https://www.ycombinator.com/launches/QII-modern-the-ai-native-it-function", "votes": 6, "created_at": "2026-05-12T01:01:57.187Z" } ] }, { "id": 32138, "name": "NebuSec", "slug": "nebusec", "former_names": [ "Nebula Security" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/c60d9cd12e8c1b315e07ee45555c24b5f74d5654.png", "website": "https://nebusec.ai", "all_locations": "San Francisco, CA, USA; Remote", "long_description": "NebuSec is founded by the world’s #1 hacking team.\r\n\r\nWe were the first team to build an nginx RCE and the first to root Android 17. Our co-founders include members of the world’s No. 1 CTF team, DEF CON winners, Black Hat speakers, and PhD in cybersecurity. We have won $400K in bug bounties by exploiting the Linux kernel and Chrome browser.\r\n\r\n“Audited by NebuSec” is a mark of serious security credibility: a signal to customers, investors, and partners that your product has been reviewed by the world’s best hackers.", "one_liner": "Autonomous AI defense system for cyber attack", "team_size": 4, "industry": "B2B", "subindustry": "B2B -> Security", "launched_at": 1783007241, "tags": [ "B2B", "Security", "Cybersecurity", "Enterprise", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2026", "status": "Active", "industries": [ "B2B", "Security" ], "regions": [ "United States of America", "America / Canada", "Remote", "Fully Remote" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/nebusec", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2026/nebusec.json", "year_founded": 2026, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/125323912", "x_url": "https://x.com/nebusecurity", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/c60d9cd12e8c1b315e07ee45555c24b5f74d5654.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Ankit Gupta", "url": "https://www.ycombinator.com/people/ankit-gupta" }, "founders": [ { "user_id": 1626290, "full_name": "Eten Zou", "title": "Founder/CEO", "founder_bio": "CEO & Founder @ Nebula Security (YC S26). PhD in Cybersecurity.\nFocus on automated vulnerability research.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/xiaochen-zou-phd-29540b168", "x_url": "https://x.com/etenal7", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/57bbc9606ef7588538536a132b2206290ce936f1.jpg" }, { "user_id": 3676420, "full_name": "Yuan Tan", "title": "Founder/CTO", "founder_bio": "Founder at Nebula Security (YC S26). Black Hat USA speaker. PhD dropout in System Security with experience in DARPA-funded fundamental research on program analysis.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/yuantan1/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/da759eb576807bd53522ad4e38bb45e06f4c0862.jpg" }, { "user_id": 3676409, "full_name": "Frank Wu", "title": "Founder/COO", "founder_bio": "Founder of Nebula Security (YC S26). Black Hat USA speaker and DEF CON finalist with r3kapig, the world's No. 1 hacking team in 2025. He led the DARPA AIxCC automated program repair team and shipped end-to-end RCE/LPE exploit chains on Chrome, Firefox, Linux, and Android. He pwned Google's kernelCTF multiple times with zero-days, and has published research at top academic venues such as USENIX Security and NDSS. Ph.D. dropout.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/yifan-wu-cs", "x_url": "https://x.com/FrankOverF1ow", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/54eba66a2435edef35054374d3e93dbb8d0af4ba.jpg" }, { "user_id": 3680004, "full_name": "Xiaochuan Yu", "title": "Founder/VP of Vulnerability Research", "founder_bio": "Founder at Nebula Security (YC S26). Hacked into iPhone, Chrome, Firefox, Safari, QEMU, and various things in your daily life. DEFCON finalist for 3 consecutive years. $200k+ Bug Bounty in Chrome. Core member of r3kapig, the #1 hacking team in the world in 2025, on CTFTime. M.S. from UC San Diego. Research published at USENIX Security, BlackHat USA. Ph.D. droped out. ", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/xiaochuan-yu-3103a5297", "x_url": "https://x.com/Nyaaaaa_ovo", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/8c980e06818698012626c4e85e58e70351bf6003.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 106602, "title": "Nebula Security: Bringing beyond Mythos protection to your product", "tagline": "#enterprise #cybersecurity #security #pentest #b2b", "body": "**TL;DR:** AI has changed cybersecurity. Don't let the next HuggingFace incident happen to your product. Hire VEGA, your best security engineer — a cybersecurity agent built by the world's best hacking team. It brings the same capabilities used to uncover critical vulnerabilities in browsers, operating systems, and internet infrastructure to protect your product. [Book a demo](https://nebula-security.cal.com/etenz/30min?overlayCalendar=true) today or find us at \n\n**The Problem:** Cybersecurity has changed. When the attackers have AI, how do you prevent the next HuggingFace incident from happening to your product?\n\nWe are here at Nebula Security for one reason, we are building the **world’s best cybersecurity agent**, bringing beyond Mythos protection to your product. \n\n### AI makes you fast. We make you secure\n\nIntroducing **VEGA**, the best cybersecurity agent that is built by the world's best hackers. An agent that has discovered critical vulnerabilities in major infrastructure and earned over **$400K** in rewards from Google.\n\nWatch our [launch video](https://youtu.be/gOzg5M5DhXI)\n\nWith VEGA, you can:\n\n* Autonomously find bugs in your codebase\n* Monitor code changes 24/7\n* Analyze root causes and generate Proofs of Concept\n* Provide ready-to-use patches\n* Understand the overall code health\n\nYou focus on bringing your product to the world. We manage the security.\n\n# The world saw the proof\n\nWhile ~~other companies~~ create hypes, we show you the proof.\n\nVEGA discovered\n\n* [IonStack](https://x.com/nebusecurity/status/2069707520160227688?s=20): the world's first fullchain exploit to root Android 17.\n* [GhostLock](https://thehackernews.com/2026/07/15-year-old-ghostlock-flaw-enables-root.html): a 15-year-old Linux kernel vulnerability capable of compromising nearly all the Linux devices in the world.\n* [nginx-poolslip](https://x.com/nebusecurity/status/2057071579876753643?s=20) and nginx-quicburst: the world's first and second vulnerabilities capable of remotely control your Nginx servers\n* And 91 more CVEs from Linux, Windows, Chrome Browser, Firefox, Nginx, Wordpress, and the other software you use every day.\n\nWe found vulnerabilities in the world's most complex software. Let us protect your product too.\n\n# The epic hacker team\n\n* Eten (CEO): PhD in Cybersecurity; Pwn2Own winner; speaker at Linux Security Summit, Off-by-One, IEEE S&P, USENIX Security, and NDSS. Previously worked at Microsoft.\n* Yuan (CTO): Previous cybersecurity PhD; Black hat speaker; Bringing VEGA to secure Linux Kernel.\n* Xiaochuan (Research Lead): From the world's #1 hacking team; three-time DEFCON participant; Jailbreak iPhone; Black Hat speaker; Previously worked at Zellic.\n* Frank (Research Lead): From the world’s #1 hacking team; DEFCON participant; Black hat speaker. Built the world’s first Android 17 root exploit.\n\nWe have won over **$400,000** from Google by breaking into their safest system.\n\nLet us show you what we can find in your system. [Book a demo](https://nebula-security.cal.com/etenz/30min?overlayCalendar=true) today.\n\nFind us at | Email to [founders@nebusec.ai](mailto:founders@nebusec.ai)\n\n![uploaded image](/media/?type=post&id=106602&key=user_uploads/1626290/4c0c365e-7cc4-469f-9c1c-c04a82c4f1b7)\n\n", "url": "https://www.ycombinator.com/launches/RjO-nebula-security-bringing-beyond-mythos-protection-to-your-product", "votes": 12, "created_at": "2026-07-23T21:25:03.912Z" } ] }, { "id": 32155, "name": "Rex", "slug": "rex-inc", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/b14c16514ac7654483b96e54e1bf49a45714e8f6.png", "website": "https://www.rex.inc", "all_locations": "San Francisco, CA, USA", "long_description": "Rex is an AI-native service for order to cash. Rex replaces manual operations with AI agents that continuously manage invoices, customers and exceptions.\r\n\r\nOrder to cash is a $60B outsourced function because the work is too messy for traditional automation. Every customer has different context, exceptions do not follow clean rules, and the next step is often buried in emails, portals, handoffs, or someone’s memory. Rex agents run continuously in the background and resolve work to SLA standards so cash keeps moving. We're live with pre-IPO tech companies, managing >$500m in receivables from F100 companies, cutting manual follow-up cycles from weeks to hours.\r\n\r\nWe founded Rex after spending four years building Sequence, an a16z-backed finance ops platform, from zero to Series A — where we saw firsthand that at-scale, O2C still runs on manual labour.\r\n\r\nRex is the #1 winner of the Vercel AI Accelerator out of 2,500 teams, selected by Guillermo Rauch and leaders from OpenAI, Anthropic, Browserbase and more.", "one_liner": "AI-native BPO for enterprise order-to-cash", "team_size": 2, "industry": "B2B", "subindustry": "B2B -> Finance and Accounting", "launched_at": 1779903831, "tags": [ "B2B", "Enterprise", "Enterprise Software", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Summer 2026", "status": "Active", "industries": [ "B2B", "Finance and Accounting" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/rex-inc", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2026/rex-inc.json", "year_founded": 2026, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/rex-ai-inc/", "x_url": "https://x.com/rexdotinc", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/b14c16514ac7654483b96e54e1bf49a45714e8f6.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/c5e473e7845a96325de3a6590b9157c80ee928a7.png", "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/242d907a5de4ed9944a88c07e410d6a12acb5cb2.png" ], "primary_partner": { "name": "Vivian Midha Shen", "url": "https://www.ycombinator.com/people/vivian-midha%20shen" }, "founders": [ { "user_id": 466573, "full_name": "Merlin Kafka", "title": "Founder/CEO", "founder_bio": "Merlin is the Founder and CEO of Rex, the AI partner for enterprise order-to-cash.\n\nHe spent 4 years as CPO at Sequence (a16z-backed), an order-to-cash platform where he grew the company to 100+ customers. He has deep domain expertise in order to cash and accounts receivable workflows -- the exact space Rex is transforming with AI.\n\nPreviously a PM at Tessian (Sequoia-backed, acquired in 2023). Studied Industrial Engineering in Cambridge and Product Design in Glasgow.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/merlinkafka/", "x_url": "http://x.com/merlinkafka", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/47ef8bf61952f3ecae050d622d963369e205daa4.jpg" }, { "user_id": 173279, "full_name": "Lewis Blackwood", "title": "Founder/CTO", "founder_bio": "Founder and CTO at Rex, building the AI partner for enterprise order to cash.\n\nPreviously:\n- Founding engineer at Sequence (backed by a16z)\n- Cofounded Personably (backed by Global Founders Capital)\n- Early team at GoCardless (YC S11)\n- Economics at Cambridge", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/lewisblackwood", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/2619bd1bf4df714f4e821b2c1ba6a7c28caafede.jpg" } ], "jobs": [ { "id": 113085, "title": "Founding AI Engineer (Enterprise Finance Operations)", "url": "https://www.ycombinator.com/companies/rex-inc/jobs/z3eroAv-founding-ai-engineer-enterprise-finance-operations", "location": "London, England, GB", "type": "Full-time", "role": "Engineering", "role_type": "AI engineer", "salary_range": "$150K - $250K", "equity_range": "0.10% - 1.00%", "experience": "1+ years", "visa": "US citizenship/visa not required", "skills": [] }, { "id": 113092, "title": "Finance Operator in Residence (Order-to-cash)", "url": "https://www.ycombinator.com/companies/rex-inc/jobs/87h0X9A-finance-operator-in-residence-order-to-cash", "location": "London, England, GB", "type": "Full-time", "role": "Operations", "role_type": null, "salary_range": "$60K - $120K", "equity_range": "0.10% - 0.50%", "experience": "1+ years", "visa": "US citizenship/visa not required", "skills": [] } ], "news": [ { "title": "Rex in Forbes | What Y Combinator's Latest Batch Reveals About The Future", "url": "https://www.forbes.com/sites/dariashunina/2026/06/04/what-y-combinators-latest-batch-reveals-about-the-future/", "date": "Sep 03, 2026" }, { "title": "How Rex automates order-to-cash for finance teams", "url": "https://www.braintrust.dev/customers/rex", "date": "Aug 26, 2026" }, { "title": "How Rex went from zero to enterprise ready in weeks with WorkOS", "url": "https://workos.com/blog/how-rex-went-from-zero-to-enterprise-ready-in-weeks", "date": "Jul 01, 2026" }, { "title": "Rex wins Vercel's AI Accelerator out of 2500 teams", "url": "https://vercel.com/blog/2026-vercel-ai-accelerator-recap", "date": "Apr 28, 2026" } ], "launches": [ { "id": 107722, "title": "Rex: Turn enterprise order-to-cash into an autonomous operation", "tagline": "AI Operations Partner for Enterprise Order to Cash", "body": "Rex is an AI service that runs order-to-cash and accounts receivable operations for enterprises. Founders [Merlin Kafka](https://www.linkedin.com/in/merlinkafka/) and [Lewis Blackwood](https://www.linkedin.com/in/lewisblackwood) spent 4 years at an a16z-backed startup helping finance teams at startups like Cognition, Legora and Bridge automate revenue collection. The problem is 100x bigger in the enterprise, so they built Rex: agents that do the work end-to-end. Live in production with Synthesia.\n\n\n\n**Revenue ≠ cash**\n\nEnterprises invoice customers, then spend months chasing the money through email chains, PDFs and ancient web portals. A $1M invoice sits unpaid because one PO number didn't match.\n\nMultiply that across thousands of customers and you get 100+ person teams, often offshore, doing this by hand: collections, invoice submission, dispute resolution, deduction management, cash application. Order-to-cash is the most outsourced process in finance because the work needs judgment. Reading a customer's email and deciding whether their dispute is valid. Working out which of 14 open invoices a lump-sum payment covers. Knowing that this account always pays late but always pays, and that one needs escalating now.\n\nAR automation software has existed for 20 years and the teams never got smaller, because the tools organise the work while people still do it. Businesses invoice each other tens of trillions of dollars a year; the labour and outsourcing spend on collecting it is over $100B. Until now the only way to scale was headcount or a BPO contract.\n\n**What Rex does**\n\nRex connects to the ERP (NetSuite, SAP, Oracle), CRM (Salesforce), billing system and shared AR inbox, and learns how the team runs the process today. That knowledge becomes editable agent operating procedures: how to chase a Fortune 500 buyer vs a startup, which deductions get investigated vs written off, when a dispute goes to a human.\n\nThen agents run those procedures across thousands of accounts in parallel:\n\n* Collections and payment follow-ups, including the long tail no team gets to\n* Invoice submission and status tracking inside procurement portals (SAP Ariba, Coupa, Tungsten and hundreds of others)\n* Dispute and deduction investigation\n* Remittance processing and cash application\n* Responding to customer finance emails\n* Updating ERP, CRM and billing records\n* Routing exceptions to the team for approval\n\nPortals deserve a special mention: an increasing share of enterprise invoices must be submitted and tracked inside the buyer's procurement system. It's the work AR teams hate most and the work software vendors ignore. Rex treats it as core.\n\n**Is Rex a managed service or software?**\n\nEnterprises can partner with Rex as a managed service provider or let their team operate Rex. AR software (dunning tools, collections worklists, AR dashboards) organises work for a team to do. Rex agents do the work, and the finance team approves exceptions. With Rex, the team stops drowning in routine chasing and handles the judgment calls. Customers compare Rex to their next AR hire, their offshore team, or their BPO contract.\n\n**Can finance teams trust AI agents with collections?**\n\nAutonomy is earned, not switched on. Each procedure starts supervised: Rex proposes, the team approves. Once a procedure hits its accuracy bar for the account, it graduates and runs autonomously. Safe, high-volume work goes first; judgment-heavy edges stay gated as long as the team wants. Every action is logged with its full reasoning, so finance audits the system instead of babysitting it.\n\n**Traction**\n\n[Rex is live in production with enterprises like Synthesia](https://www.rex.inc/customers/synthesia), running collections, portal submissions, inbox triage and cash application. Cases that used to take weeks of back and forth resolve in minutes.\n\n**Get in touch**\n\nIf invoice volume is outgrowing the finance team, or order-to-cash runs on offshore headcount or a BPO contract, get in touch: [rex.inc](http://rex.inc)\n\n![uploaded image](/media/?type=post&id=107722&key=user_uploads/466573/80aa1a0e-383d-43f5-93b4-4a97d086d306)\n\n", "url": "https://www.ycombinator.com/launches/S1S-rex-turn-enterprise-order-to-cash-into-an-autonomous-operation", "votes": 11, "created_at": "2026-07-27T18:08:15.052Z" } ] }, { "id": 32259, "name": "screenpipe", "slug": "screenpipe", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/144e7207ec725036f43cc9a6b577a8320151e103.png", "website": "https://screenpipe.com", "all_locations": "San Francisco, CA, USA", "long_description": "Screenpipe records and learns how people in your company work and turns it into a searchable memory, documents, and AI agents. Model agnostic and data is stored on your device and/or where your team choose, source available.", "one_liner": "Turn your company's computer work into AI agents.", "team_size": 2, "industry": "B2B", "subindustry": "B2B -> Productivity", "launched_at": 1783386650, "tags": [ "SaaS", "B2B", "Enterprise", "Enterprise Software", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Summer 2026", "status": "Active", "industries": [ "B2B", "Productivity" ], "regions": [ "United States of America", "America / Canada", "Remote", "Partly Remote" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/screenpipe", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2026/screenpipe.json", "year_founded": 2026, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/screenpipe", "x_url": "https://x.com/screenpipe", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/144e7207ec725036f43cc9a6b577a8320151e103.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Gustaf Alstromer", "url": "https://www.ycombinator.com/people/gustaf-alstromer" }, "founders": [ { "user_id": 716431, "full_name": "Louis Beaumont", "title": "Founder/CEO", "founder_bio": "Previously French intelligence (acquired) and hyperscale cloud observability at OVHCloud.\nBuilt video game bots business when I was 14. My training dataset: 150 books a year.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/louis030195/", "x_url": "https://x.com/louis030195", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/05f032b3236e73cfbdc174076161cd570a964593.jpg" } ], "jobs": [ { "id": 103591, "title": "Forward Deployed Engineer (Enterprise)", "url": "https://www.ycombinator.com/companies/screenpipe/jobs/EudBGQb-forward-deployed-engineer-enterprise", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$120K - $240K", "equity_range": "0.25% - 1.00%", "experience": "6+ years", "visa": "US citizen/visa only", "skills": [ "React", "Rust", "TypeScript" ] }, { "id": 109046, "title": "Senior Product Manager", "url": "https://www.ycombinator.com/companies/screenpipe/jobs/p3C1CYI-senior-product-manager", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Product", "role_type": null, "salary_range": "$160K - $220K", "equity_range": "0.25% - 1.00%", "experience": "6+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 111400, "title": "Founding Engineer", "url": "https://www.ycombinator.com/companies/screenpipe/jobs/hT5zAor-founding-engineer", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$120K - $240K", "equity_range": "0.50% - 1.50%", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [ "React", "Rust", "TypeScript" ] } ], "news": [], "launches": [ { "id": 105615, "title": "Screenpipe: Record how you work and turn that into agents", "tagline": "Record how you work and turn that into agents", "body": "screenpipe records what you do, see and hear on your computer, makes it searchable, and gives agents the context to understand how you actually work. The project has 20K+ GitHub stars.\n\n\n\nMost AI agents start every task with partial context.\n\nThey can read the prompt and apps you connect. They do not remember the meeting where a decision was made, the tab you opened last Tuesday, the exact steps you took to fix a problem, or the edge case you discovered while doing the work.\n\nscreenpipe runs quietly in the background and captures screen and audio context on your machine. Then you can ask:\n\n* maintain a second brain for every person, projects, tasks, meetings\n\n\n* turn the workday into a daily recap and time breakdown for standups or client billing\n* maintain a personal CRM from the people, conversations, and follow-ups seen during the day\n* find commitments mentioned in meetings or messages that never made it into a task list\n* analyze repeated work and produce a list of workflows worth automating\n* save prompts and context from Claude, Codex, and ChatGPT into a searchable journal\n\nAgents can use screenpipe as long-term memory, so they work from what actually happened instead of only what you remembered to paste into a prompt.\n\nThe same foundation also works across team machines. Teams can map repeated workflows, generate SOPs, find bottlenecks, and identify automation opportunities across the tools where work actually happens.\n\nscreenpipe is open source and local-first. You control what gets recorded, can exclude apps, windows, and URLs, and choose where your data lives.\n\nI’ve been building my own AI second brain since 2020, but it could only remember what I explicitly saved. I built screenpipe so my AI could understand what I was actually doing across my screen and conversations. Other people began using it for the same reason. Today, we’re turning that foundation into context for personal and team agents.\n\n**Our ask**\n\nTry screenpipe and comment with the agent you would build if it could remember everything you’ve worked on.\n\nTry screenpipe: ", "url": "https://www.ycombinator.com/launches/RTT-screenpipe-record-how-you-work-and-turn-that-into-agents", "votes": 23, "created_at": "2026-07-14T14:38:00.824Z" } ] }, { "id": 32418, "name": "Traceforce", "slug": "traceforce", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/8a31e3b43130c5974d52608c066ff45cc746112f.png", "website": "https://www.traceforce.ai", "all_locations": "San Francisco, CA, USA", "long_description": "AI apps such as ChatGPT and Claude have become part of everyone's daily workflow, but they introduce new security risks that traditional security tools weren't built to handle. Security teams at companies from startups to Fortune 500s, are struggling to keep up.\r\n\r\nTraceforce gives a company’s security team visibility of how AI apps are being used across company’s devices, and the ability to detect and prevent security breaches and unsafe actions as early as possible.", "one_liner": "CrowdStrike for AI Agents", "team_size": 2, "industry": "B2B", "subindustry": "B2B -> Security", "launched_at": 1785015608, "tags": [ "SaaS", "Security", "Cybersecurity", "Enterprise", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2026", "status": "Active", "industries": [ "B2B", "Security" ], "regions": [ "United States of America", "America / Canada", "Remote", "Partly Remote" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/traceforce", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2026/traceforce.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/traceforce-security", "x_url": "", "fb_url": null, "cb_url": "Traceforce, Inc", "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/8a31e3b43130c5974d52608c066ff45cc746112f.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Brad Flora", "url": "https://www.ycombinator.com/people/brad-flora" }, "founders": [ { "user_id": 2775802, "full_name": "Xia Hua", "title": "Founder/CEO", "founder_bio": "Founder at Traceforce. Previously Director of Engineering at Clumio, managing all flagship ransomware protection products. PhD in Applied Math from MIT.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/xia-hua-ph-d-28856a30/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/2f3e3c63d811c56302968adf9fea80553cf68f79.jpg" }, { "user_id": 3675843, "full_name": "Varun Wadhwa", "title": "Founder/CTO", "founder_bio": "Co-founder & CTO at TraceForce. Previously Senior Software Engineer at LinkedIn, leading high-performance database systems for RAG. Before that, Staff Software Engineer at Clumio, leading distributed data infrastructure and backup. Earlier built distributed payments systems at Microsoft. BS in EECS, UC Berkeley.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/varunwadhwarcds", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/3bb82e62b797bba9d01efa60a14cb9d26fe41a26.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 117100, "title": "Traceforce TraceGraph – Ask anything about your company's AI usage", "tagline": "Know where every AI token goes", "body": "**TL;DR:** TraceGraph turns every AI interaction in your company into a fully queryable graph linking users, apps, models, MCPs, and tokens. You can ask questions in plain English, slice the data any way you want, and build agentic workflows on top of it out of the box. Try it free at [traceforce.ai](http://www.traceforce.ai).\n\n**👋 Hi YC, we're Xia and Varun**\n\nWe're the founders of Traceforce (S26), and we're building security and visibility for AI agents running on company devices. We previously built one of the world’s most scalable cyber-resillience systems at Clumio.\n\n**🔥 The problem**\n\nAI usage is exploding, but the data about it is stuck in billing totals and static dashboards. When you want to know which team's agents are burning tokens, which MCPs get called most, or who is using AI in ways that don't fit policy, you end up exporting CSVs or waiting on someone to build a report.\n\n**🕸️ How TraceGraph works**\n\nTraceforce runs on the endpoint, so it captures AI activity across every app and agent. TraceGraph connects that activity into one graph, and that graph lets you do three things:\n\n* **Query anything.** Every user, team, app, model, MCP, and token is a connected node, so you can slice the data in any combination with no predefined dashboards.\n* **Ask in natural language.** For example: _\"Which teams' token usage doubled this month?\"_ or _\"Show Claude Code sessions that called the Supabase MCP.\"_\n* **Build agentic workflows out of the box.** Put agents on top of the graph to flag spend spikes, send weekly usage reports, or escalate risky patterns automatically.\n\n🎥 **Demo:**\n\n\n\n**🙏 Our asks**\n\n* **Try it:** Install in under 5 minutes and see your team's token usage today.\n* **Intros:** Heads of engineering, IT, finance, or security leaders managing AI rollouts and spend.\n* **Feedback:** What would you ask your AI usage data? We'll show you the answer.\n\n📩 xia@traceforce.ai\n\nBook a time ", "url": "https://www.ycombinator.com/launches/USi-traceforce-tracegraph-ask-anything-about-your-company-s-ai-usage", "votes": 7, "created_at": "2026-09-28T14:55:58.682Z" }, { "id": 107460, "title": "Traceforce — Catch risky agent actions your security gateway will never spot", "tagline": "Company-wide security monitoring for AI apps", "body": "# \\*\\*\\*\\*\n\n**TL;DR:** AI agents are quietly pulling secrets off your employees' laptops — and your security gateway can't see it. Traceforce installs in under 5 minutes and gives you a full inventory of every AI app, MCP, and skill running on every device, then lets you block the dangerous stuff in real time. Built by the ex-Clumio engineering team. Traceforce is already deployed on 6,000+ devices across 10+ enterprise customers, with 40+ active pilots worth $3M+ in ARR. Try it free at [www.traceforce.ai](http://www.traceforce.ai).\\\n\\\n**The incident that started this**\\\nAt our last company, an AI coding agent running on a developer's laptop scraped what looked like database credentials and pushed them straight into a public GitHub repo. It took us _weeks_ to investigate, rotate credentials, and clean up the fallout. We got lucky — they were dev-environment creds, so no customer was affected. Next time, nobody will be that lucky.\\\n\\\nThat's the whole problem with AI at work now: ChatGPT, Claude, Cursor, and Claude Code are everywhere on employee devices, wired into your data through MCPs and skills that no one is tracking. The tools your security team already owns — gateways, proxies, enterprise APIs — never see any of it, because the risky action happens _on the device_, before it ever hits the network.\\\n\\\n**Why us**\\\nWe're Xia and Varun. We ran engineering at Clumio, a cyber-resilience company acquired by Commvault in 2024, where Xia was Director of Engineering and Varun was tech lead. We've spent our careers building security infrastructure — and we validated this problem with 50+ CISOs and CIOs before writing a line of code. Every one of them said the same thing: \\_I need to see and control this without slowing my engineers down.\\_\\\n\\\n**Why on-device — and why gateways can't do this**\\\nCompetitors sit at the gateway or plug into enterprise APIs. That misses the self-adopted AI tools employees install themselves, and it can't see how an agent is actually connected to your data via MCPs. Traceforce runs on the endpoint, so we see the full picture — which AI apps are running, what MCPs and skills they're wired to, what data they can reach — and we can _warn or block_ an unsafe action the moment it happens, not after it's already on the network.\\\n\\\n**What you get**\n\n* Install in <5 min. Full inventory of every AI app, MCP, and skill across your devices within 30 minutes.\n* Discover shadow AI and see exactly how each agent connects to your data sources.\n* Real-time controls: warn and block unsafe actions (like uploading a client list to a chatbot) before they happen.\n* Open-source MCP pentesting: we also built [mcp-xray](https://github.com/traceforce/mcp-xray) to dynamically detect vulnerable MCPs — try it today.\n\n\\\n**Traction**\n\n* Securing 6000+ employee devices across 10+ enterprises.\n* Customer quote from a leading database provider with over 500 employees: “To govern AI, we need full visibility into AI usage before we can place any type of controls. Traceforce gives us both visibility and control we needed”.\n* 40+ Active pilots including multiple Fortunate 500 enterprises.\n\n\\\n\\\n**Our ask**\n\n* **Intros** to security engineers, security architects, DevSecOps teams, or CISOs securing AI adoption. (We're the ex-Clumio team — that's usually enough to get a conversation.)\n* **Try Traceforce free** on your own laptop — <5 min to install, and we want candid feedback, good or bad.\n* **Challenge us:** tell us which AI apps, MCPs, or workflows we should support next.\n* **Share** with anyone wrestling with security over ChatGPT, Claude, Cursor, Claude Code, or custom MCPs.", "url": "https://www.ycombinator.com/launches/RxE-traceforce-catch-risky-agent-actions-your-security-gateway-will-never-spot", "votes": 7, "created_at": "2026-07-28T16:50:42.184Z" } ] }, { "id": 32622, "name": "Rational", "slug": "rational", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/88c9150f7633337a9e66431f2838539b473b583f.png", "website": "https://rational.to", "all_locations": "San Francisco, CA, USA", "long_description": "Rational is building the first accounting firm with no humans. It's entirely run by our AI employees, who go from client intake to doing the books to filing with the IRS. We secure 90% cost reduction, 24/7 support, and an overall seamless experience for businesses.", "one_liner": "First Zero-human Accounting Firm", "team_size": 2, "industry": "B2B", "subindustry": "B2B -> Operations", "launched_at": 1784172515, "tags": [ "Finance", "B2B", "Enterprise", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Summer 2026", "status": "Active", "industries": [ "B2B", "Operations" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/rational", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2026/rational.json", "year_founded": 2026, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/rationalto", "x_url": "https://x.com/RationalDotTo", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/88c9150f7633337a9e66431f2838539b473b583f.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Jared Friedman", "url": "https://www.ycombinator.com/people/jared-friedman" }, "founders": [ { "user_id": 1591705, "full_name": "Jibril Moinuddin", "title": "Founder/CEO", "founder_bio": "CEO at Rational. Previously founding engineer at Buckeye AI, TrueFoundry. Founded STEMplicity Education. Dropped out of University of Michigan. Non-Trivial Fellow.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/jibril-moinuddin-32702b271/", "x_url": "https://x.com/JibrilAsif", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/9218a0f71bb3d439dfb97ee0da080509800aefe7.jpg" }, { "user_id": 3411828, "full_name": "Christ Xu", "title": "Founder/CTO", "founder_bio": "CTO at Rational. Prev Youngest Tencent Senior SWE. 2x IOI Camp, IMO Camp, published algo researcher.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/christ-xu-687868298", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/23ba5c0e4852292e86dfe9667dd895b8c678ad64.jpg" } ], "jobs": [ { "id": 106940, "title": "Forward-Deployed Engineer", "url": "https://www.ycombinator.com/companies/rational/jobs/FGBkhzz-forward-deployed-engineer", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$120K - $200K", "equity_range": "0.50% - 2.00%", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] }, { "id": 106941, "title": "Machine Learning Researcher ", "url": "https://www.ycombinator.com/companies/rational/jobs/vRTNbJi-machine-learning-researcher", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Machine learning", "salary_range": "$150K - $200K", "equity_range": "0.50% - 2.00%", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] }, { "id": 106942, "title": "Software Engineering Intern", "url": "https://www.ycombinator.com/companies/rational/jobs/6ycNzJc-software-engineering-intern", "location": "San Francisco, CA, US", "type": "Internship", "role": "Engineering", "role_type": "Full stack", "salary_range": "$8K - $12K / monthly", "equity_range": "", "experience": null, "visa": "US citizen/visa only", "skills": [] }, { "id": 106944, "title": "Applied AI", "url": "https://www.ycombinator.com/companies/rational/jobs/u1XiPpU-applied-ai", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Machine learning", "salary_range": "$120K - $200K", "equity_range": "0.50% - 2.00%", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] } ], "news": [ { "title": "Rational Launches AI Employees for Accounting Firms", "url": "https://insidepublicaccounting.com/2026/07/17/rational-launches-ai-employees-for-accounting-firms/", "date": "Jul 17, 2026" } ], "launches": [ { "id": 114437, "title": "Rational - First Zero-human Accounting Firm", "tagline": "Agents will be trusted.", "body": "\n\n**We’re disrupting the disruptors.**\n\nYou’ve heard of so many AI accounting startups already. These new “AI-native” accounting firms are still designed to be run by humans in two facets: the first 25%, fostering client relationships, and the final 25%, signing off and filing with the IRS.\n\n**Josh Kushner’s company, Thrive Holdings, the largest disruptor in this space, explicitly argues that agents will never replace this** \\[1\\]**.** Their reasoning? Agents don’t carry trust.\n\nCurrently, agents are not trusted, humans are. That’s why every AI startup nowadays does the work, and leaves judgment to a human. But this is changing, and we’re early. As new agent-centric companies grow (Instinct, Natural, AgentMail), agents become common in daily life and work, and eventually will become trusted entities \\[2\\].\n\nOnce agents are trusted, there is no reason they cannot own entire, traditionally trust-heavy industries, end-to-end. Rational is building for that world.\n\n**Reach out to [founders@rational.to](mailto:founders@rational.to) or visit [rational.to](http://rational.to) if interested in learning more.**\n\n---\n\n\\[1\\] . A fraction of the market does care about trust and the human relationship with their accountant, but most of us definitely do not want to spend a second more with one than we have to.\n\n\\[2\\] These companies inherently bet on agents to proliferate in society. We also believe AI will continue to get better and safer. Since trust is achieved through consistent, positive actions, and it is in the interest of the entire tech industry for their agents to produce consistent positive actions, our firm will be the first to enjoy the principles to do concrete work in a massive market.", "url": "https://www.ycombinator.com/launches/Tll-rational-first-zero-human-accounting-firm", "votes": 22, "created_at": "2026-09-09T19:03:11.387Z" }, { "id": 112573, "title": "Rational - AI Employees for Accounting Teams", "tagline": "AI employees for in-house accounting teams", "body": "Rational builds AI employees for in-house accounting teams. They onboard themselves, handle real work within existing tools, and keep a human in control of every decision that matters. \n\nOur AI employees conduct interviews with each role on your team, creating a mental map of your workflows, inefficiencies, and who to route approvals to. After you connect them to your current stack, they simply do the work, 24/7. They learn from every single interaction and become more accurate over time — and their insights are completely isolated for your team. They’re truly your AI employees.\n\nWe’re live with major enterprise customers, including a Fortune Global 100.\n\n\n\nToday, we’re also releasing our Web Playground for early access.\n\n**Visit rational.to/book-demo to get access.**\n\nNot part of an accounting team but know someone in PE, advising, or accounting? We would love to talk. Email [founders@rational.to](mailto:founders@rational.to).", "url": "https://www.ycombinator.com/launches/THh-rational-ai-employees-for-accounting-teams", "votes": 3, "created_at": "2026-08-28T16:00:00.566Z" }, { "id": 106060, "title": "Rational: AI Employees for Accounting", "tagline": "24/7 hires to solve the talent shortage within your firm's existing stack", "body": "Rational builds AI employees for accounting and tax firms. They onboard themselves to your firm, handle real work within your existing tools, and keep a human in control of every decision that matters — so firms can finally say yes to the clients they've been turning away.\n\n\n\n_The problem_\n\nAccounting has an economics problem: demand is there, capacity isn't. Most firms turned away paying clients last year simply because they didn't have the people to do the work, and the talent pool keeps shrinking as accountants leave the profession faster than firms can replace them. More software hasn't fixed this — and a chatbot that summarizes a spreadsheet definitely hasn't. The parts of accounting that actually matter, like judgment, trust, and sign-off, should stay human. Everything around them shouldn't have to be a bottleneck.\n\n_Our solution_\n\nRational’s AI employees conduct interviews with each role on your team, creating a mental map of your firm’s workflows, inefficiencies, and who to route approvals to. After you connect them to your current stack, they simply do the work, 24/7. They learn from every single interaction and become more accurate over time — and their insights are completely isolated for your firm. They’re truly _your_ AI employees.\n\nRational already works with every firm size: from individuals to Fortune Global 500 companies. Doing everything from document-chasing to research to tax preparation, our employees supplement your firm’s labor without the significant onboarding curve or cost of a new hire.\n\n_Book a Demo_\n\nStop saying no to clients or retaining inefficiencies in your firm. Hire your first AI employees today, at .\n\nNot an accounting firm but know someone in PE, advising, or accounting? We would love an introduction. Email founders@rational.to.", "url": "https://www.ycombinator.com/launches/Rae-rational-ai-employees-for-accounting", "votes": 18, "created_at": "2026-07-17T17:45:59.589Z" } ] }, { "id": 35191, "name": "Munito AI", "slug": "munito-ai", "former_names": [ "zugzug.ai" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/287fb0bcb8cbc376d57a3e34f3cd0cdda9966268.png", "website": "https://munito.ai", "all_locations": "Paris, Île-de-France, France; Remote", "long_description": "Munito is an open-model inference provider for Europe, private by default. Its API lets users choose their models and keep inference and storage in the EU. \r\nFounded by the former inference lead at Mistral AI, Munito is built on one belief: open and independent intelligence, both models and inference, is key to economic growth and prosperity.", "one_liner": "Open-model inference provider for Europe, private by default.", "team_size": 1, "industry": "B2B", "subindustry": "B2B -> Engineering, Product and Design", "launched_at": 1791574997, "tags": [ "Enterprise", "Infrastructure", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Fall 2026", "status": "Active", "industries": [ "B2B", "Engineering, Product and Design" ], "regions": [ "France", "Europe", "Remote", "Fully Remote" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": [ { "question": "How did your company get started? (i.e., How did the founders meet? How did you come up with the idea? How did you decide to be a founder?)", "answer": "I led inference at Mistral AI, where my team built its API and inference products, and I built Le Chat's Deep Research. Before that, I spent five years at Airbnb, where I built Hosting Services from scratch and grew it to become a global product.\r\n\r\nAt Mistral, we built everything in-house, because no independent European provider could handle our scale. I kept seeing the same thing: in Europe, inference is a side product. Cloud providers sell it next to their VMs, and model labs sell it for their own models. At the same time, open models became really good.\r\n\r\nThis is why I started Munito: the best open models, run in Europe, behind an API you already know how to use." }, { "question": "What is the core problem you are solving? Why is this a big problem? What made you decide to work on it?", "answer": "Companies in Europe want to use the best open models at scale, but they also need privacy and control over where their data is processed. Today it's hard to get both. Most large providers are not European, and EU processing is quite often an extra option instead of the default. There are few European providers, and many of them can't handle real scale.\r\n\r\nAnd this problem grows every month. More and more sensitive data goes through AI models in products, agents and internal tools. Users and regulators ask where it's processed and stored, and companies don't want their AI to depend on one cloud or one model lab.\r\n\r\nI saw this from inside at Mistral, where we had to build everything in-house. Munito gives companies open models at scale, with inference and storage in the EU and privacy by default: no data retention, no training on their data. Sovereignty, without running your own GPUs." }, { "question": "What is your long-term vision? If you truly succeed, what will be different about the world?", "answer": "I believe that open and independent intelligence, both models and inference, is key to economic growth and prosperity in the world and the region.\r\n\r\nIf Munito succeeds, anyone building with AI can run the best open models privately, in the region they choose, without depending on one cloud or one model lab. Munito rents GPUs across many vetted data centers and clouds, and we’re building a self-improving inference stack, so running open models gets faster and cheaper over time." } ], "url": "https://www.ycombinator.com/companies/munito-ai", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2026/munito-ai.json", "year_founded": 2026, "city": "Paris", "country": "FR", "linkedin_url": "https://linkedin.com/company/munito-ai", "x_url": "https://x.com/munitoai", "fb_url": null, "cb_url": null, "github_url": "https://github.com/munitoai/", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/287fb0bcb8cbc376d57a3e34f3cd0cdda9966268.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/f32f459cbefecb7f733c988913aa3690d8ad3fb8.png" ], "primary_partner": { "name": "Aaron Epstein", "url": "https://www.ycombinator.com/people/aaron-epstein" }, "founders": [ { "user_id": 2088690, "full_name": "Alexey Eryshev", "title": "Founder/CEO", "founder_bio": "Founder at Munito AI.\nI led inference at Mistral AI, where my team built its API and inference products, and I built Le Chat's Deep Research. 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Meanwhile post-investment operations receive step-child treatment. While AUMs have increased exponentially over the last decade, operations continue to be painfully supported by humans using spreadsheets and emails. Things have started to break leading to investment write-offs, fines, penalties, and sometimes lost LP relationships. \r\n\r\nOur agents can run these operations (borrowing base calcs, cracking loan tapes, NAV calculations, etc.) end to end autonomously. For one of our customers, our agents cut a 20-hour ops process to 30 minutes. 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