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Its interface makes a point of looking nice, with the words you write appearing in large, plain-text font on a light-gray background.", "one_liner": "Making Draft. Super simple version control and collaboration for…", "team_size": 1, "industry": "B2B", "subindustry": "B2B -> Productivity", "launched_at": 1326789601, "tags": [ "Documents", "SaaS", "Collaboration" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2011", "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": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/draft", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2011/draft.json", "year_founded": 2011, "city": "Chicago", "country": "US", "linkedin_url": "", "x_url": "", "fb_url": null, "cb_url": "https://www.crunchbase.com/organization/draft", "github_url": null, "logo_url": null, "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": null, "founders": [ { "user_id": 24939, "full_name": "Nathan Kontny", "title": "Founder", "founder_bio": "", "is_active": true, "linkedin_url": "https://linkedin.com/in/nathankontny", "x_url": "http://twitter.com/natekontny", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/5080b289b62920bb4adab9a5d8ffe228e7ddd4b7.jpg" } ], "jobs": [], "news": [], "launches": [] }, { "id": 215, "name": "Crocodoc", "slug": "crocodoc", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/934b28e2d4367fc33767785a5a2414ea7c0783b5.png", "website": "https://crocodoc.com", "all_locations": "San Francisco, CA, USA", "long_description": "Crocodoc developed the world's most advanced web-based document viewing and collaboration technology for Microsoft Office and PDF files, built on open standards such as HTML5 and CSS3.\r\n\r\nWhether viewing a document, adding comments to a presentation, highlighting an e-textbook, or filling out a form, we make it easy for companies to create amazing experiences for their users with technology that is secure, scalable, and trusted by top brands in the consumer and enterprise space.\r\n\r\nEvery month users upload millions of documents to Crocodoc, whose customers include top brands such as Dropbox, Yammer, LinkedIn, SAP, and Edmodo.\r\n\r\nCrocodoc was founded in 2007 and is funded by Y Combinator, SV Angel, 500 Startups, and top angel investors including Joshua Schachter, Paul Buchheit, Steve Chen, and Shan Sinha.", "one_liner": "Embed PDFs, PowerPoints, and other documents into web and mobile apps", "team_size": 0, "industry": "B2B", "subindustry": "B2B -> Engineering, Product and Design", "launched_at": 1326790370, "tags": [ "Documents", "SaaS" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2010", "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/crocodoc", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2010/crocodoc.json", "year_founded": 2007, "city": "San Francisco", "country": "US", "linkedin_url": "http://www.linkedin.com/company/crocodoc", "x_url": "https://twitter.com/crocodoc", "fb_url": "http://www.facebook.com/crocodocapp", "cb_url": "https://www.crunchbase.com/organization/crocodoc", "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/934b28e2d4367fc33767785a5a2414ea7c0783b5.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": null, "founders": [ { "user_id": 26564, "full_name": "Ryan Damico", "title": "Founder/CEO", "founder_bio": "Co-founder & CEO of Crocodoc (W10, acquired). Senior product leader @ Box, Wayfair, Meta, and Stripe. Currently taking on part-time and fractional product work while incubating ideas for my next startup.", "is_active": false, "linkedin_url": "https://www.linkedin.com/in/ryandamico", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/9aeb6a208caaa618b273731a4e10d40e99425428.jpg" }, { "user_id": 26548, "full_name": "Peter Lai", "title": "Founder", "founder_bio": "- MIT '08 (EECS & Cognitive Science)\n- Crocodoc (W10)\n- Emburse (W16)\n", "is_active": false, "linkedin_url": "https://www.linkedin.com/in/peterjlai", "x_url": "https://twitter.com/peterjlai", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/9492ee49e2566f5e2721054164c4c82d5b3a9174.jpg" }, { "user_id": 26566, "full_name": "Matt Long", "title": "Founder", "founder_bio": "My career has been very YC-centric. At Crocodoc (W10), I focused on building our infrastructure and designing/maintaining the document conversion API; what would today be described as 50% backend engineer and 50% devops. Crocodoc was acquired by Box in May 2013 where I stayed working on mostly the same stuff for about 2 years. After that, I was Tech Lead of their infrastructure engineering team at PlanGrid (W12) for a while. Now I'm on the software team at YC itself which has been an great fun!!", "is_active": false, "linkedin_url": "https://www.linkedin.com/in/mateolargo/", "x_url": "https://twitter.com/mateolargo", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/19b59296fc02422e5ea272fe61184933d57782de.jpg" }, { "user_id": 48681, "full_name": "Bennett Rogers", "title": "Founder", "founder_bio": null, "is_active": false, "linkedin_url": "https://www.linkedin.com/in/bennett-rogers-2774b3b/", "x_url": null, "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/6b18d18ae3cd269ad880fc24d85a6b50b57dac92.jpg" } ], "jobs": [], "news": [], "launches": [] }, { "id": 348, "name": "Zenter", "slug": "zenter", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/fa9c0925aff653b349d2e20c8e5b4a7277b5df84.png", "website": "https://googleblog.blogspot.com/2007/06/more-sharing.html", "all_locations": "San Francisco, CA, USA; Mountain View, CA, USA", "long_description": "Zenter is an web based presentation app that promises to really take advantage of being online. Users will have the regular functionality of PowerPoint, but with the ability to directly add content from the web (Google Images). Each public slide show will also be put into a public library, for other users to remix or just drop into their show.\r\n\r\nZenter was acquired by Google in June, 2007.", "one_liner": "Zenter is the gmail of slides", "team_size": 2, "industry": "B2B", "subindustry": "B2B -> Productivity", "launched_at": 1326791525, "tags": [ "Documents", "SaaS", "B2B", "Productivity" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2007", "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/zenter", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2007/zenter.json", "year_founded": 2007, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/in/wcrosby/", "x_url": "", "fb_url": null, "cb_url": "https://www.crunchbase.com/organization/zenter", "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/fa9c0925aff653b349d2e20c8e5b4a7277b5df84.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": null, "founders": [ { "user_id": 39282, "full_name": "Wayne Crosby", "title": "Founder", "founder_bio": "Wayne is the CEO and founder of OrgOrg, an Organizational Productivity Suite. His first startup, Zenter (W07), was acquired by Google and became Google Slides. Wayne spent 10 years at Google building GSuite, Sign-In with Google, Google+, Applied Machine Intelligence, and more. In 2016, Wayne founded Humu, a company focused on making work better by using software and behavioral change. Humu was acquired by Perceptyx in 2023. Wayne has also been a visiting partner at YC for S23 & W24 batches.", "is_active": false, "linkedin_url": "https://www.linkedin.com/in/wcrosby/", "x_url": "https://twitter.com/wcrosby", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/a30dc9b080313e10ac0d3c8615e22d6fe7b9393a.jpg" }, { "user_id": 10868, "full_name": "Robby Walker", "title": "Founder", "founder_bio": "Founder at fpo3. Previously founded Cue (YC W10, acquired by Apple) and Zenter (YC W07, acquired by Google). Spent 9 years at Apple as Senior Director leading Siri and Information Intelligence. 3x YC founder.", "is_active": false, "linkedin_url": "https://www.linkedin.com/in/robbywalker", "x_url": null, "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/037fd8a2c43439bdcb18893573b694ad3dcaefe2.jpg" } ], "jobs": [], "news": [], "launches": [] }, { "id": 905, "name": "Willing", "slug": "willing", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/d1f750ae2fae8260d1b7bcac563c133322c158fc.png", "website": "https://www.willing.com/", "all_locations": "Miami, FL, USA", "long_description": "Willing makes it easy for people to make wills without a lawyer. Answer simple questions and we'll instantly create all the legal documents you need to name guardians for your children and transfer your assets. We were acquired by MetLife and our technology now powers the world's largest legal insurance company.", "one_liner": "The best way to make your legal will.", "team_size": 10, "industry": "Consumer", "subindustry": "Consumer -> Home and Personal", "launched_at": 1430156120, "tags": [ "Documents", "Consumer", "B2B", "LegalTech", "Insurance" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2015", "status": "Acquired", "industries": [ "Consumer", "Home and Personal" ], "regions": [ "United States of America", "America / Canada", "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/willing", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2015/willing.json", "year_founded": 2014, "city": "Miami", "country": "US", "linkedin_url": "", "x_url": "", "fb_url": null, "cb_url": "https://www.crunchbase.com/organization/willing", "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/d1f750ae2fae8260d1b7bcac563c133322c158fc.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": null, "founders": [ { "user_id": 78054, "full_name": "Eliam Medina", "title": "Founder/CEO", "founder_bio": "i feel lucky to be here.", "is_active": false, "linkedin_url": "https://www.linkedin.com/in/eliam", "x_url": "https://twitter.com/helloeliam", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/86ea2a578eb20c786db5a86c626331a35f0be501.jpg" }, { "user_id": 82383, "full_name": "Rob Dyson", "title": "Founder/CTO", "founder_bio": "YC Alum, spending a lot of Anthropic credits", "is_active": false, "linkedin_url": "http://www.linkedin.com/in/rdyson", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/e1f14774d25fc35387836cd058a19c8cca6fbf10.jpg" } ], "jobs": [], "news": [], "launches": [] }, { "id": 987, "name": "GetAccept", "slug": "getaccept", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/ab0099ae34e6606159dad752edf7880c52ae235b.png", "website": "https://www.getaccept.com", "all_locations": "Malmö, Skåne County, Sweden; San Francisco, CA, USA", "long_description": "Close more deals by sending sales content with personalized video reminders, live chat and e-signature. We’re the Digital Sales Room platform for the best remote selling experience.\r\n\r\nToday we are the fourth fastest growing SaaS company in the world and our platform is used in over 50 countries. From four founders, to over 200 employees worldwide in five years, and we still love every second of being a part of the journey. We have high hopes on what’s to come and could not be more excited for the future!", "one_liner": "Close deals faster. 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My last gig was at Acko, where I was a founding member and helped build India's first direct online-only insurance company.", "is_active": false, "linkedin_url": "https://www.linkedin.com/in/deepakangrula/", "x_url": "https://twitter.com/mxfunc", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/ccf52199a3d3c676274ac65dac9151ee3664bc63.jpg" } ], "jobs": [], "news": [], "launches": [] }, { "id": 23156, "name": "ROGER", "slug": "roger", "former_names": [ "HENSE (Taggle Software Inc.)", "HENSE", "Hense", "Roger" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/a513fcec92227df8bbc51a071fe9905ee9e441d2.png", "website": "https://www.thanksroger.com/", "all_locations": "New York City, NY, USA", "long_description": "Sending and signing contracts should be easy. So why is it that existing eSignature tools are all so janky? The last thing you need is a frustrating eSignature tool. That’s why we’re building Roger — a faster, simpler eSignature. Think of it like what Linear did to Jira.", "one_liner": "The Best Way to Sign Contracts Since Handshakes. Roger that.", "team_size": 4, "industry": "B2B", "subindustry": "B2B", "launched_at": 1649960759, "tags": [ "Documents", "SaaS", "B2B", "Sales", "Legal" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2021", "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/roger", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2021/roger.json", "year_founded": 2020, "city": "New York City", "country": "US", "linkedin_url": "https://www.linkedin.com/company/80052053", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/a513fcec92227df8bbc51a071fe9905ee9e441d2.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": 373862, "full_name": "Michael Wang", "title": "Founder", "founder_bio": "Co-Founder, CEO, investor, board member", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/mike-s-wang", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/a4a65582c24b741b2b76d8033024a562bcc1236b.jpg" } ], "jobs": [], "news": [], "launches": [] }, { "id": 24821, "name": "Pactima", "slug": "pactima", "former_names": [ "Agreema" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/cd5b61907c3569a6b9a7653c553f169ebd5b23c1.png", "website": "https://pactima.com/", "all_locations": "Ottawa, ON, Canada; Remote", "long_description": "Pactima is a value-centric, fast-growing, and venture-backed company that’s transforming the manner in which businesses conduct transactions in our remote world.\r\n\r\nOur flagship product, Live eSignaturesTM, is a real-time solution that allows people to view and sign documents while simultaneously hosting a secured video call. This easy-to-use solution allows transactions that could only be done in-person to now be performed online.", "one_liner": "Live video signing for real-time agreements", "team_size": 3, "industry": "B2B", "subindustry": "B2B -> Legal", "launched_at": 1625764563, "tags": [ "Documents", "SaaS", "B2B" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2021", "status": "Acquired", "industries": [ "B2B", "Legal" ], "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/pactima", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2021/pactima.json", "year_founded": 2020, "city": "Ottawa", "country": "CA", "linkedin_url": "https://www.linkedin.com/company/pactimo/", "x_url": "https://twitter.com/pactimaHQ", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/cd5b61907c3569a6b9a7653c553f169ebd5b23c1.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": null, "founders": [ { "user_id": 695146, "full_name": "Moktar Yusuf", "title": "Founder", "founder_bio": "Co-founder & CEO of Pactima.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/moktar-yusuf/", "x_url": "https://twitter.com/moktar_ii?lang=en", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/5cdef492f867854063eaed633cccbecb39b1e4c8.jpg" }, { "user_id": 698536, "full_name": "Joel Kapongo", "title": "Founder", "founder_bio": "Co-founder & CTO of Pactima. Focused on tech and moving the business forward. Son of Congo, adopted by Canada.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/joelkapongo", "x_url": "https://twitter.com/joelkapongo", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/1001708817d33b777a30b7b6ca3f8cbac08d5e84.jpg" } ], "jobs": [], "news": [], "launches": [] }, { "id": 26148, "name": "Powerdocs", "slug": "powerdocs", "former_names": [ "GAVEL", "Strom AI" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/5ce634eba9c45b2ec33268c564c63e0aa39a5e68.png", "website": "https://powerdocs.so", "all_locations": "Berlin, Berlin, Germany", "long_description": "Powerdocs is an AI-powered proposals creation platform for businesses, agencies, and freelancers. We help you create professional documents like proposals, quotes, and user requirement documents effortlessly, saving you hours of manual work. With a passion for automation, we’ve built the ultimate tool to simplify collaboration, streamline workflows, and let you focus on what truly matters—delivering exceptional results and winning clients.", "one_liner": "Create professional proposals, quotes, and documents in seconds.", "team_size": 4, "industry": "B2B", "subindustry": "B2B", "launched_at": 1645800544, "tags": [ "Documents", "SaaS", "AI Assistant" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2022", "status": "Active", "industries": [ "B2B" ], "regions": [ "Germany", "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/powerdocs", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2022/powerdocs.json", "year_founded": 2021, "city": "Berlin", "country": "DE", "linkedin_url": "https://linkedin.com/company/powerdocs-hq", "x_url": "http://x.com/powerdocs_hq", "fb_url": "https://facebook.com/powerdocs.so", "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/5ce634eba9c45b2ec33268c564c63e0aa39a5e68.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": null, "founders": [ { "user_id": 158033, "full_name": "Marvin Musialek", "title": "Founder", "founder_bio": "I started several companies and sold most of them. With my last venture, we developed a toothbrush that brushes all teeth simultaneously in 10 seconds. We raised $8mio through crowdfunding and shipped over 45k units to users. Eventually, the company tanked, but this and my previous experience with my startups gave me the right learnings and focus for building something big.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/musialek", "x_url": "https://www.x.com/marvinmusialek", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/175bf30624240c4eff1f50317233c1cb305e9f26.jpg" }, { "user_id": 489357, "full_name": "Florian Braeuer", "title": "Founder", "founder_bio": "For 22 years I am a developer and for 8 years a startup founder. My passion is to turn cutting-edge technology into products that change the behavior of millions 🤩 My data-analytics and full-stack dev background gives me a laser-sharp focus on how to build things fast and scalable 🚀", "is_active": true, "linkedin_url": "https://linkedin.com/in/flobraeuer", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/ea5a4b3a449b13d1cb2b595d7008d190f539c380.jpg" } ], "jobs": [], "news": [], "launches": [] }, { "id": 26863, "name": "Provision", "slug": "provision", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/385a0231f7ab5d980e79ffdfbfa16bc2183b283d.png", "website": "https://provision.com", "all_locations": "Toronto, ON, Canada", "long_description": "Provision is building the AI Estimator for construction. We identify risks and obligations in contracts, specs, and drawings so contractors can reduce time spent reviewing documents and focus on winning and delivering projects profitably. Backed by Y Combinator (S22).", "one_liner": "Ironclad for construction", "team_size": 15, "industry": "B2B", "subindustry": "B2B -> Infrastructure", "launched_at": 1653315975, "tags": [ "Documents", "Machine Learning", "Construction", "Productivity", "NLP" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Summer 2022", "status": "Active", "industries": [ "B2B", "Infrastructure" ], "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/provision", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2022/provision.json", "year_founded": 2022, "city": "Toronto", "country": "CA", "linkedin_url": "https://www.linkedin.com/company/provision-software-co", "x_url": "https://twitter.com/UseProvision", "fb_url": null, "cb_url": "https://www.crunchbase.com/organization/provision-1d32", "github_url": "https://github.com/provisionsoftwarecorporation", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/385a0231f7ab5d980e79ffdfbfa16bc2183b283d.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": 351083, "full_name": "Luigi La Corte", "title": "Founder", "founder_bio": "Luigi is the co-founder and CEO of Provision. Before co-founding Provision, he worked in the construction industry for seven years between Arup (a multi-disciplinary engineering design firm) as a civil engineer and Plenary (infrastructure developer) as a Director. He managed $3B+ of large infrastructure projects with some of the most sophisticated stakeholders across the value chain (owners, GCs, sub-contractors, facility managers). ", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/luigi-r-la-corte", "x_url": "https://twitter.com/_luigilacorte", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/b63b6fd552c5f9f80531f108ea4793a7cf9be3e2.jpg" } ], "jobs": [ { "id": 69811, "title": "Account Executive (Mid-Market, Toronto)", "url": "https://www.ycombinator.com/companies/provision/jobs/B1WvXZy-account-executive-mid-market-toronto", "location": "Toronto, ON, CA", "type": "Full-time", "role": "Sales", "role_type": null, "salary_range": "$140K - $170K CAD", "equity_range": "0.20% - 0.65%", "experience": "3+ years", "visa": "US citizenship/visa not required", "skills": [] }, { "id": 86646, "title": "Senior Machine Learning Engineer", "url": "https://www.ycombinator.com/companies/provision/jobs/dseNXSQ-senior-machine-learning-engineer", "location": "Toronto, ON, CA / Toronto, Ontario, CA / Remote (CA)", "type": "Full-time", "role": "Engineering", "role_type": "Machine learning", "salary_range": "$140K - $300K CAD", "equity_range": "0.10% - 0.50%", "experience": "6+ years", "visa": "US citizen/visa only", "skills": [ "Google Cloud", "Python", "Torch/PyTorch", "Machine Learning" ] } ], "news": [], "launches": [ { "id": 65358, "title": "Provision 🏗️📃 - Ironclad for construction", "tagline": "Provision helps owners and constructors understand their commercial documents, collaborate with team members, and reduce risk, increasing profits by 5-10%. ", "body": "We’re Brendan and Luigi and we’re the co-founders of Provision.\n\n**Problem**\\\nThe construction industry spends $500B annually (\\~4% of market value) on issues stemming from document complexity. Documents are becoming longer, harder to read, and contain obligations that go unchecked eroding profitability. Currently, people use CTRL+F to navigate thousands of pages and Excel to extract information, often resulting in missed obligations, and unexpected costs.\n\n![uploaded image](/media/?type=post&id=65358&key=user_uploads/280788/8f4cc15a-b090-4ac2-a0d5-a9eee38cc0eb)\n\n\n**Need**\\\nConstruction professionals need to understand and manage all of the requirements held within these documents, because missing them means delays, budget overruns and even failed projects.\n\n**Enter Provision**\\\nProvision ingests contracts, specs and drawings, and gives users tools to manage risks, obligations and compliance.\n\n![uploaded image](/media/?type=post&id=65358&key=user_uploads/280788/edbcd4d6-2298-48c2-9025-edcd7959b3d4)\n\n\n**Backstory**\\\nBoth Luigi and Brendan worked in the construction industry for years before starting Provision. Brendan left the industry, and built two startups over a couple of years but always had aspirations to go back to construction. Luigi worked as a Director at an infrastructure developer for 6 years, where he saw even the most sophisticated constructors fail to understand their documents. We came together in December of 2021 through YC to build something impactful. \n\n![uploaded image](/media/?type=post&id=65358&key=user_uploads/280788/dc0bd0eb-5339-4efa-9159-cd50050156cb)\n\n\\\n**Ask**\\\nUpvote this post! :)\n\nAnd if anyone has any warm connections to GCs or subcontractors in North America who builds big projects (50M+), we would love an intro. [founders@getprovision.co](mailto:founders@getprovision.co)\n\nAlso, we’re hiring for Data Engineer and SWE roles. [careers@getprovision.co](mailto:careers@getprovision.co) \n\nFollow us on [LinkedIn](https://www.linkedin.com/company/86033411), and drop us a line if you want to chat.\n\nThanks!", "url": "https://www.ycombinator.com/launches/H0A-provision-ironclad-for-construction", "votes": 16, "created_at": "2022-08-14T15:53:59.802Z" } ] }, { "id": 27153, "name": "UpLink", "slug": "uplink", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/2ea767a408cc57b55584c2042808e466cf2c64d6.png", "website": "https://www.uplinkapp.io", "all_locations": "Palm Beach Gardens, FL, USA; Washington, DC, USA; Remote", "long_description": "UpLink's founding team worked as auditors and software engineers at PwC where they saw firsthand how difficult it was to collect thousands of documents from clients.\r\n\r\nAlex Maher and Alex Grant met working on PwC’s big data analytics platform, scaling it from 0 to 20k users globally. 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After teaching himself to code, he switched into an internal role at the firm managing software development teams. \n\nHe left the accounting world in 2018 to become the Director of Software Development at a publicly traded telcom construction company. He worked there 4 years before leaving to start UpLink in May of 2022.\n\nAlex lives in Florida with his wife, Laura, and their two sons, Brooks (6) and Jack (2).", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/maher-alex/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/0f04399733a06aa4accd291a026bf4ef66b0d15c.jpg" }, { "user_id": 1033897, "full_name": "Alexander Grant", "title": "Founder", "founder_bio": "Alex is a strong technical leader with a passion for software development. He specializes in the end-to-end software delivery cycle, from writing scalable and understandable code to complete full-stack automated testing. Highlights of his career thus far include scaling a data acquisition platform from a dozen users in the US to 20k users globally over the course of 2 years.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/alexgrant14", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/11e9e5a7a376140cbb7bd31122d0f4c9460f75ad.jpg" }, { "user_id": 420465, "full_name": "Brady Ochse", "title": "Founder", "founder_bio": "Brady has always been obsessed with figuring out how things work, and his curiosity led him to computers. When he discovered the magic of making a machine do something with just words, he found a lifelong passion.\n\nThat passion turned into disillusion when at a large company, but Brady realized software could be great with more emphasis on quality, the user, and thoughtful decision making. So, he left the corporate world to join people who share his love for building something truly great.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/brady-ochse", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/d6774d94bcda9b5475b1cf4b41163a273a75eaa1.jpg" }, { "user_id": 1033890, "full_name": "Nicholas Yarmesch", "title": "Founder", "founder_bio": "Ever since he can remember, Nick has been interested in technology. His idea of fun includes reading technical manuals for microcontrollers and reverse engineering the barcodes on Nespresso capsules.\n\nIn college, he built the hardware and developed the software to retrofit his 2002 Lexus with a secure receiver that unlocked his car when he approached wearing his Apple Watch.\n\nYou’re most likely to run into Nick in his blue Cayman on the trip between his house and Starbucks.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/nick-yarmesch", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/3700dc941c229df7e49eb70ffd4b245fe2497aa8.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 64054, "title": "UpLink 📄 Manage Document Requests at Scale", "tagline": "UpLink helps professionals manage large volumes of document requests", "body": "### **What we do:**\n\nSimplify the process of managing document requests at scale.\n\n### **Who has this problem:**\n\n* Auditors (need hundreds of docs from each client)\n* Tax professionals (need lots of tax forms)\n* Lenders/Brokers (need dozens of docs from each loan applicant)\n* Certification programs (need docs from each applicant)\n* HR (need onboarding docs from new employees)\n\n### **How UpLink solves the problem:**\n\nUpLink is a SAAS application that associates a workflow (requested, in review, rejected, complete) with each request.\n\n![Workflow_V2.png](https://static.wixstatic.com/media/28ce1d_44995060299d4371966945698cf092e0~mv2.png/v1/fill/w_1255,h_245,al_c,q_85,usm_0.66_1.00_0.01,enc_auto/Workflow_V2.png)\n\nThis workflow allows you to easily track the status of individual document requests across hundreds or thousands of projects.\n\n**Automatic Notifications:**\n\n![Notifications.png](https://static.wixstatic.com/media/28ce1d_bf43b94976c14c74ab1070b48f2587a8~mv2.png/v1/fill/w_850,h_473,al_c,q_90,usm_0.66_1.00_0.01,enc_auto/Notifications.png)\n\n**Helpful Reminders:**\n\n![Reminders.png](https://static.wixstatic.com/media/28ce1d_70d53a764910420c8aeed0e2f1ee7b4b~mv2.png/v1/fill/w_850,h_473,al_c,q_90,usm_0.66_1.00_0.01,enc_auto/Reminders.png)\n\n**Backstory:**\n\n2 of our co-founders were auditors at PwC and had this problem firsthand. It took years for PwC to finally build a custom solution to address this, but it’s a common problem and most companies (especially auditors) don’t have access to a decent solution.\n\n# **Try it out:**\n\n[Interactive demo](https://demo.uplinkapp.io) (no sign-up, in-browser)\n\n[Check out our site](https://www.uplinkapp.io)\n\nEmail me ([alex@uplinkapp.io](mailto:alex@uplinkapp.io)) for a personal demo, any questions, or if you’d like to introduce me to anyone you think would find UpLink valuable =)", "url": "https://www.ycombinator.com/launches/Gf8-uplink-manage-document-requests-at-scale", "votes": 23, "created_at": "2022-06-24T18:07:02.817Z" } ] }, { "id": 27252, "name": "Landeed", "slug": "landeed", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/0810eca0d686750cb529fa49d82db4a6ef2d2a5b.png", "website": "https://www.landeed.com/", "all_locations": "Hyderabad, Telangana, India", "long_description": "Landeed is the AI-native digital infrastructure for property intelligence, verification, and transactions in India. We provide read/write rails that transform fragmented property and regulatory systems into continuously verified, machine-interpretable state. Powered by Terra, our proprietary property intelligence engine, Landeed converts messy, multi-source records into structured, queryable knowledge that supports legal-grade due diligence, collateral verification, title search, transfers, and property payments. With coverage across 24 states, enterprises go live nationally from day one. We are trusted by Fortune India 500 companies across BFSI, real estate, and retail.\r\n\r\nLandeed is the blue tick for property.", "one_liner": "Landeed is India’s digital infrastructure for property intelligence,…", "team_size": 35, "industry": "Fintech", "subindustry": "Fintech", "launched_at": 1656366086, "tags": [ "Documents", "Fintech", "Legal", "Proptech", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Summer 2022", "status": "Active", "industries": [ "Fintech" ], "regions": [ "India", "South 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/landeed", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2022/landeed.json", "year_founded": 2022, "city": "Hyderabad", "country": "IN", "linkedin_url": "https://www.linkedin.com/company/landeed/", "x_url": "https://twitter.com/LandeedInc", "fb_url": "https://www.facebook.com/LandeedIND/", "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/0810eca0d686750cb529fa49d82db4a6ef2d2a5b.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": 95984, "full_name": "Sanjay Mandava", "title": "Founder", "founder_bio": "2x YC founder. First time with GoLorry and now Landeed. Before startups, I worked as proprietary trader/investment analyst at Knight Vinke (Activist Hedge Fund) and as a real estate developer. Currently, I am CEO and Founder of Landeed with focus on building India's (later for the developing world) fastest and most comprehensive property title search engine.", "is_active": true, "linkedin_url": "https://www.linkedin.com/pub/sanjay-mandava/24/6aa/206", "x_url": "https://twitter.com/mandava_sanjay", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/bd9c5dc6c65fb1885725a0ccba7fda256b061715.jpg" }, { "user_id": 117814, "full_name": "ZJ Lin", "title": "Founder", "founder_bio": "Co-founder and CPO of GoLorry (YC W16): 2015 - 2022\nCo-founder and CPO of Landeed (YC W22): 2022 - present", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/zjlin/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/408b589d73d3fd0cdffa184d5592c64e23da55ee.jpg" }, { "user_id": 117813, "full_name": "J Richards", "title": "Founder", "founder_bio": "", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/jonathan-richards-26259bb6/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/a283374f298717aae60f288d7876e8532be913ce.jpg" } ], "jobs": [ { "id": 57082, "title": "Head of Corporate Affairs, Public Policy and Government Relations (CPG)", "url": "https://www.ycombinator.com/companies/landeed/jobs/DVY3BMa-head-of-corporate-affairs-public-policy-and-government-relations-cpg", "location": "Hyderabad, TG, IN", "type": "Full-time", "role": "Legal", "role_type": null, "salary_range": "$20K - $50K", "equity_range": "", "experience": "3+ years", "visa": "US citizenship/visa not required", "skills": [] }, { "id": 57083, "title": "Senior Legal Associate", "url": "https://www.ycombinator.com/companies/landeed/jobs/TuXBTBn-senior-legal-associate", "location": "Gurugram, HR, IN / Gurugram, Haryana, IN / New Delhi, DL, IN / New Delhi, Delhi, IN / DL, IN / Delhi, IN / Mumbai, MH, IN / Mumbai, Maharashtra, IN", "type": "Full-time", "role": "Legal", "role_type": null, "salary_range": "₹40K - ₹75K INR / monthly", "equity_range": "", "experience": "3+ years", "visa": "US citizenship/visa not required", "skills": [] }, { "id": 57298, "title": "Product Owner", "url": "https://www.ycombinator.com/companies/landeed/jobs/UYsLGSi-product-owner", "location": "Hyderabad, TG, IN", "type": "Full-time", "role": "Product", "role_type": null, "salary_range": "₹1.5M - ₹3.5M INR", "equity_range": "0.10% - 0.20%", "experience": "1+ years", "visa": "US citizenship/visa not required", "skills": [ "Wireframing", "Figma" ] }, { "id": 60420, "title": "Growth and Marketing Lead", "url": "https://www.ycombinator.com/companies/landeed/jobs/DGgwOhw-growth-and-marketing-lead", "location": "Hyderabad, TG, IN", "type": "Full-time", "role": "Marketing", "role_type": null, "salary_range": "₹600K - ₹1.2M INR", "equity_range": "0.10% - 0.25%", "experience": "1+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 60434, "title": "EIR: Entrepreneur In Residence", "url": "https://www.ycombinator.com/companies/landeed/jobs/Xt8mnKh-eir-entrepreneur-in-residence", "location": "Hyderabad, TG, IN", "type": "Full-time", "role": "Product", "role_type": null, "salary_range": "$20K - $60K", "equity_range": "0.15% - 0.40%", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 65257, "title": "Business Development And Enterprise Sales (BDES)", "url": "https://www.ycombinator.com/companies/landeed/jobs/4l4knno-business-development-and-enterprise-sales-bdes", "location": "Hyderabad, TS, IN / Mumbai, MH, IN / Bengaluru, KA, IN / Chennai, TN, IN / DL, IN / Gurugram, HR, IN", "type": "Full-time", "role": "Sales", "role_type": null, "salary_range": "₹1M - ₹2.5M INR", "equity_range": "0.10% - 0.20%", "experience": "3+ years", "visa": "US citizenship/visa not required", "skills": [] }, { "id": 65258, "title": "Operations Lead", "url": "https://www.ycombinator.com/companies/landeed/jobs/HYva7F4-operations-lead", "location": "Mumbai, MH, IN / Bengaluru, KA, IN / Hyderabad, TS, IN / Gurugram, HR, IN / Gurugram, Haryana, IN", "type": "Full-time", "role": "Operations", "role_type": null, "salary_range": "₹480K - ₹1.2M INR", "equity_range": "0.01% - 0.02%", "experience": "3+ years", "visa": "US citizenship/visa not required", "skills": [] }, { "id": 65259, "title": "Support Executive", "url": "https://www.ycombinator.com/companies/landeed/jobs/SZyQjR3-support-executive", "location": "Hyderabad, TS, IN / Mumbai, MH, IN / Chennai, TN, IN / Bengaluru, KA, IN", "type": "Full-time", "role": "Support", "role_type": null, "salary_range": "₹240K - ₹500K INR", "equity_range": "", "experience": "1+ years", "visa": "US citizenship/visa not required", "skills": [] }, { "id": 65260, "title": "Content and Community Lead", "url": "https://www.ycombinator.com/companies/landeed/jobs/v2Wfj2O-content-and-community-lead", "location": "Hyderabad, TS, IN / Bengaluru, KA, IN", "type": "Full-time", "role": "Marketing", "role_type": null, "salary_range": "₹600K - ₹1.8M INR", "equity_range": "0.01% - 0.02%", "experience": "1+ years", "visa": "US citizenship/visa not required", "skills": [] }, { "id": 79527, "title": "Senior GIS Engineer", "url": "https://www.ycombinator.com/companies/landeed/jobs/YZ8WIvS-senior-gis-engineer", "location": "Hyderabad, TS, IN / Hyderabad, Telangana, IN", "type": "Full-time", "role": "Engineering", "role_type": "Data science", "salary_range": "₹900K - ₹2.5M INR", "equity_range": "0.01% - 0.03%", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 79528, "title": "Senior/Staff Frontend Engineer", "url": "https://www.ycombinator.com/companies/landeed/jobs/XdJRjFi-senior-staff-frontend-engineer", "location": "Hyderabad, Telangana, India", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "₹2M - ₹4M INR", "equity_range": "0.10% - 1.00%", "experience": "6+ years", "visa": "US citizenship/visa not required", "skills": [ "React", "React Native", "Next.js" ] }, { "id": 79600, "title": "Senior/Staff Engineer: Backend (India)", "url": "https://www.ycombinator.com/companies/landeed/jobs/v9JBNfn-senior-staff-engineer-backend-india", "location": "Hyderabad, Telangana, India", "type": "Full-time", "role": "Engineering", "role_type": "Backend", "salary_range": "₹2.5M - ₹5M INR", "equity_range": "0.10% - 0.50%", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [ "PostgreSQL", "Python" ] }, { "id": 84880, "title": "Legal Ops Lead", "url": "https://www.ycombinator.com/companies/landeed/jobs/MEoD32X-legal-ops-lead", "location": "Chennai, TN, IN / Chennai, Tamil Nadu, IN / Bengaluru, KA, IN / Bengaluru, Karnataka, IN / Ahmedabad, GJ, IN / Ahmedabad, Gujarat, IN / Pune, MH, IN / Pune, Maharashtra, IN / Gurugram, HR, IN / Gurugram, Haryana, IN", "type": "Full-time", "role": "Legal", "role_type": null, "salary_range": "₹400K - ₹1.2M INR", "equity_range": "", "experience": "11+ years", "visa": "US citizenship/visa not required", "skills": [] }, { "id": 85313, "title": "Ex-founder - Technical, India", "url": "https://www.ycombinator.com/companies/landeed/jobs/fFYK3Hd-ex-founder-technical-india", "location": "Hyderabad, Telangana, India", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "₹3M - ₹6M INR", "equity_range": "0.10% - 1.00%", "experience": "3+ years", "visa": "US citizenship/visa not required", "skills": [] }, { "id": 88432, "title": "Accountant", "url": "https://www.ycombinator.com/companies/landeed/jobs/tipcFfI-accountant", "location": "Hyderabad, TS, IN / Hyderabad, Telangana, IN", "type": "Full-time", "role": "Finance", "role_type": null, "salary_range": "₹360K - ₹420K INR", "equity_range": "", "experience": "3+ years", "visa": "US citizenship/visa not required", "skills": [] }, { "id": 91926, "title": "Associate Solutions Engineer", "url": "https://www.ycombinator.com/companies/landeed/jobs/l7L0SeB-associate-solutions-engineer", "location": "Hyderabad, TS, IN / Hyderabad, Telangana, IN", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "₹600K - ₹800K INR", "equity_range": "", "experience": "Any (new grads ok)", "visa": "US citizenship/visa not required", "skills": [] }, { "id": 95120, "title": "Customer Relationship Manager", "url": "https://www.ycombinator.com/companies/landeed/jobs/rwIYQSC-customer-relationship-manager", "location": "Hyderabad, TS, IN / Hyderabad, Telangana, IN", "type": "Full-time", "role": "Operations", "role_type": null, "salary_range": "₹25K - ₹45K INR / monthly", "equity_range": "", "experience": "1+ years", "visa": "US citizenship/visa not required", "skills": [] }, { "id": 95121, "title": "Senior Customer Relationship Manager", "url": "https://www.ycombinator.com/companies/landeed/jobs/WBenvVy-senior-customer-relationship-manager", "location": "Hyderabad, TS, IN / Hyderabad, Telangana, IN", "type": "Full-time", "role": "Operations", "role_type": null, "salary_range": "₹45K - ₹90K INR / monthly", "equity_range": "", "experience": "6+ years", "visa": "US citizenship/visa not required", "skills": [] }, { "id": 95828, "title": "Product Engineer", "url": "https://www.ycombinator.com/companies/landeed/jobs/5ER5jHm-product-engineer", "location": "Hyderabad, TS, IN / Hyderabad, Telangana, IN", "type": "Full-time", "role": "Product", "role_type": null, "salary_range": "₹1.5M - ₹3.5M INR", "equity_range": "0.10% - 0.20%", "experience": "6+ years", "visa": "US citizen/visa only", "skills": [ "Python", "React", "React Native", "Data Analytics", "Evals" ] }, { "id": 95916, "title": "Member of Technical Staff - Post-Training Engineer", "url": "https://www.ycombinator.com/companies/landeed/jobs/GL2b1aZ-member-of-technical-staff-post-training-engineer", "location": "Hyderabad, TS, IN / Hyderabad, Telangana, IN", "type": "Full-time", "role": "Engineering", "role_type": "Machine learning", "salary_range": "₹2.5M - ₹4.5M INR", "equity_range": "0.10% - 0.50%", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [ "Python", "Torch/PyTorch", "Machine Learning", "Reinforcement learning (RL)", "Natural Language Processing", "Computer Vision", "LLMs", "Transformers", "Fine-tuning" ] }, { "id": 106709, "title": "Property Advisor - II", "url": "https://www.ycombinator.com/companies/landeed/jobs/Ay1U4eN-property-advisor-ii", "location": "Hyderabad, TS, IN / Hyderabad, Telangana, IN", "type": "Full-time", "role": "Sales", "role_type": null, "salary_range": "₹730K - ₹1.01M INR", "equity_range": "", "experience": "1+ years", "visa": "US citizenship/visa not required", "skills": [] }, { "id": 106710, "title": "VIP Client Advisor", "url": "https://www.ycombinator.com/companies/landeed/jobs/NV3HYUX-vip-client-advisor", "location": "Hyderabad, TS, IN / Hyderabad, Telangana, IN", "type": "Full-time", "role": "Sales", "role_type": null, "salary_range": "₹880K - ₹1.22M INR", "equity_range": "", "experience": "1+ years", "visa": "US citizenship/visa not required", "skills": [] }, { "id": 106711, "title": "Priority Case Manager", "url": "https://www.ycombinator.com/companies/landeed/jobs/MVVWBdh-priority-case-manager", "location": "Hyderabad, TS, IN / Hyderabad, Telangana, IN", "type": "Full-time", "role": "Operations", "role_type": null, "salary_range": "₹780K - ₹1.06M INR", "equity_range": "", "experience": "1+ years", "visa": "US citizenship/visa not required", "skills": [] }, { "id": 108452, "title": "People & Operations Associate (HR & Admin)", "url": "https://www.ycombinator.com/companies/landeed/jobs/SkrpiOU-people-operations-associate-hr-admin", "location": "Hyderabad, TS, IN / Hyderabad, Telangana, IN", "type": "Full-time", "role": "Recruiting & HR", "role_type": "Operations", "salary_range": "₹500K - ₹750K INR", "equity_range": "", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] } ], "news": [ { "title": "Building trust in India’s property system through digitisation", "url": "https://www.moneycontrol.com/news/opinion/building-trust-in-india-s-property-system-through-digitisation-13750337.html", "date": "Dec 31, 2025" }, { "title": "Indian proptech at an inflection point: Panelists at VCCircle summit", "url": "https://www.vccircle.com/indianproptech-at-an-inflection-point-panelists-at-vccircle-summit", "date": "Oct 29, 2025" }, { "title": "Landeed: Mapping ownership through AI", "url": "https://www.newindianexpress.com/cities/hyderabad/2025/Oct/09/landeed-mapping-ownership-through-ai", "date": "Oct 08, 2025" }, { "title": "Landeed: Mapping ownership through AI", "url": "https://www.newindianexpress.com/cities/hyderabad/2025/Oct/09/landeed-mapping-ownership-through-ai", "date": "Oct 08, 2025" }, { "title": "Landeed Introduces Zero-Fee Bill Payments Feature for Property Transactions", "url": "https://www.rprealtyplus.com/allied/landeed-introduces-zero-fee-bill-payments-feature-for-property-transactions-119421.html", "date": "Apr 03, 2025" } ], "launches": [ { "id": 100213, "title": "🏠 Terra: Turning Indian property from a who-you-know market into a what-you-know market.", "tagline": "Indian property, finally legible. ", "body": "Today we're launching Terra: the thing we've wanted to build since day one.. If you caught our original launch: you know we've spent three years building India's property infrastructure. More than a million people use Landeed monthly searching millions of properties and growing at an increasing pace. The result of that work is Terra - India’s first and most intelligent property AI trained on 500M+ title documents. 24 states. 22 languages.\n\nEven more importantly, we built Terra on the foundations of our groundwork not guesswork. The answers are backed by verifiable records from regulatory registries and ground truth minimizing hallucination risks. Furthermore, this is the third major launch from Landeed Labs (our internal AI division) after AITSR our flagship product for enterprises which has now evolved into Terra Black.\n\nCheck it out below:\n\n\n\n**Here's what's broken.**\n\nIndia is two markets stitched together: _who you know_ and _what you know_. Most of India's economy has shifted toward what-you-know over the last twenty years. Real estate has not. It is the most extreme who-you-know market in the country.\n\nWho you know determines what you can buy, what price you pay, what risks you discover, and whether your title holds up in court. If you have the right cousin in the registrar's office, the right lawyer in the right city, the right broker who owes you a favor — you have edge. If you don't, you're flying blind with your life savings.\n\nThis is why India has $10 trillion in property and most of it is **dead capital** — Hernando de Soto's phrase. You own it but you can't prove it. You inherit it but you can't read it. You want to buy it but you can't verify it. Many call this dead capital but at Landeed we call this just another Tuesday. The data was always there. It was just illegible, scattered across 28 state systems, locked in 22 languages, and impossible to reason about.\n\n**Here's what we built.**\n\nTerra is the first product that makes data competitive with relationships in Indian property — and wins.\n\nYou just talk to it. In English, Hindi, Telugu, Tamil — whatever you think in.\n\n\"Find me 2BHK apartments in Gachibowli under 1 crore and with nice gym.\" Or drop the link or url from your favorite listing to explore more about the property in detail like guideline value or average rentals. Terra shows you real listings across all aggregated from listings platforms, helps you create watchlists, calculate price trends and check property risks all in one screen in real time in one conversation.\n\n![uploaded image](/media/?type=post&id=100213&key=user_uploads/95984/c59d4a61-5060-44eb-bdc9-ee30b31e2d74)\n\n![uploaded image](/media/?type=post&id=100213&key=user_uploads/95984/4a929008-2772-42f7-b0a8-bd7e19e4f86b)\n\n\"Who has owned that property since it was built?\" Ownership tree. Every transaction. Linked to source documents you can open.\n\n![uploaded image](/media/?type=post&id=100213&key=user_uploads/95984/6a4338fb-af05-4c24-bc80-0d5dc9e3b049)\n\n\"Are there any encumbrances or legal issues?\" Light diligence in minutes. Not a lawyer's 2-week report.\n\n![uploaded image](/media/?type=post&id=100213&key=user_uploads/95984/b035d906-223a-4a67-8b4f-3305132df9d4)\n\n\"Compare this to the one in Kondapur I was looking at yesterday.\" Side by side.\n\n![uploaded image](/media/?type=post&id=100213&key=user_uploads/95984/7914e052-0078-469a-9947-e2af051b4f7d)\n\nUnder the hood: a system of specialized AI agents working in parallel. Live integrations with 24 state governments. Proprietary OCR for 22 Indian languages including handwritten records from the 1980s. Terra doesn't guess. It reads the actual government records — the same ones a lawyer would read — and reasons about them in real time.\n\n**One moment that shows what this unlocks.**\n\nA user told Terra about his property next to a biryani shop in Chennai. Terra pulled the documents _and_ found a municipal announcement from that week — the user was now eligible to build additional square footage on his existing plot. He didn't know to ask. Terra found it anyway.\n\nThat's the point. Terra doesn't just answer questions. It tells you things you didn't know to ask.\n\n**Early traction.**\n\nSoft-launched on web a month ago. 50,000 users showed up without a rupee of paid acquisition.\n\n**Try it:** [https://web.landeed.com/terra](https://web.landeed.com/terra?thread=a3c27682-da8c-462a-8855-5d2ebcd80632) or download our app from play store or iOS\n\n**What we want from the community:**\n\n* Know anyone buying, selling, or inheriting property in India? Send them to Terra. Especially NRIs — they have the worst version of this problem.\n* Know a bank, NBFC, or real estate operator in India? We have Terra Black (enterprise API) already running with HDFC Bank, Hero FinCorp, Amazon India, Vastu Housing, and others. Warm intros welcome: [sanjay@landeed.com](mailto:sanjay@landeed.com)\n* Feedback, ideas, critiques — send them straight to us.\n\nIndia's property market has been a who-you-know game since the British left. Terra is how it finally becomes a what-you-know market. We make this inevitable. 🐂", "url": "https://www.ycombinator.com/launches/Q4L-terra-turning-indian-property-from-a-who-you-know-market-into-a-what-you-know-market", "votes": 107, "created_at": "2026-04-25T15:27:09.197Z" }, { "id": 89737, "title": "Landeed Bill Pay: Property bills, tax, and documents — handled in one app", "tagline": "India's first property super-app: pay property tax, electricity, water & more — all linked to your property", "body": "**🏡 We’re Landeed — the fastest way to access property documents _and_ pay property-related bills in India**\n\nHey YC — we’re the team behind **Landeed**, a property super-app used by over 1 million people across India to instantly retrieve legal property documents like Encumbrance Certificates, Survey Maps, and Sale Deeds.\n\nToday we’re launching **Landeed Bill Payments** — a major upgrade that lets users instantly pay for all their property-related bills, directly in the same app.\n\n---\n\n### ❌ The Problem\n\nIndia’s government has digitized property documents — but property _bill payments_ are still a mess.\n\nEvery billing cycle, property owners deal with:\n\n* 3–5 broken government portals (BBMP, BESCOM, BWSSB, etc.)\n* Clunky UIs with mismatched property IDs and consumer numbers\n* OTP loops, failed UPI/card transactions, no real support\n* No central history or receipts\n\nIt’s painful for anyone — and 10x worse for landlords managing multiple properties across cities.\n\n---\n\n### 🧑‍💼 Meet Ramesh, a typical Bangalore landlord\n\n![uploaded image](/media/?type=post&id=89737&key=user_uploads/95984/6f635ff1-7dea-4270-bc01-3526f95f8022)\n\n### ✅ Our Solution\n\nWe built **Landeed Bill Payments** right into the same app our users already trust for property documents.\n\nNow users can:\n\n* 💡Instantly pay **Property Tax, Electricity, Water, Gas, Broadband**\n* 💳 Use **UPI, cards, or wallets**\n* 🏙️ Access **20+ utility boards** across India\n* 📂 Automatically save receipts per property\n* 📈 View full **payment history** across all properties\n\nNo logins, no portal hopping, no stress.\n\n---\n\n### 💡 Why Now\n\nIndia digitized land records — but not the ownership experience.\\\nYou can _see_ your property online. But you can’t act on it.\n\nWe’re building the **operating system for property ownership** — starting with documentation, and now enabling transactions.\n\n---\n\n### 🚀 Traction\n\n* 1M+ users across 400+ districts\n* Cover 24 states and union territories in India\n* Live integrations with 20+ major utilities & DISCOMs\n* Multi-lingual support and over 12 vernacular languages supported\n\n---\n\n### 🎥 Product Demo\n\n\n\n> _See how Ramesh pays 3 bills in under 60 seconds, directly from his property dashboard._\n\n---\n\n### 🙌 What You Can Do\n\n* **Try it now**: — no fees, no logins\n* **Share this** with landlords, real estate operators, or civic tech folks\n* **Talk to us**: [founders@landeed.com](mailto:founders@landeed.com)\n\nThanks for checking us out — we’d love your feedback and intros.", "url": "https://www.ycombinator.com/launches/NLN-landeed-bill-pay-property-bills-tax-and-documents-handled-in-one-app", "votes": 100, "created_at": "2025-04-22T14:56:32.985Z" }, { "id": 72566, "title": "Landeed XF (LXF): Founder's real estate concierge 🚀", "tagline": "Real Estate reimagined for Founders by Founders 🤝", "body": "# **Landeed XF (LXF): Your Ultimate Real Estate Ally!**\n\n**Quick Summary:** Landeed is thrilled to launch LXF! We present an all-encompassing real estate solution tailored for founders, ensuring hassle-free accommodation and workspace solutions, along with legal support for your company setup. No deposits, no brokerage fees, just an annual contract that bundles everything you need into a single monthly invoice.✨\n\n## **💥 What’s The Issue?**\n\nFounders are swamped with responsibilities and need to be laser-focused on their vision. Real estate complications, finding the perfect workspace, and dealing with legal requirements for company setup are all distractions that no founder needs. The market lacks an efficient, all-in-one solution that caters specifically to the founders' real estate and legal needs. Landeed XF is here to change that.\n\n## **🎯 Here’s What We Offer**\n\nLandeed XF is your one-stop solution, specially curated for founders looking to set their foot in India and vice versa. We’re here to enable you to hit the ground running.\n\n🧾 **Single Monthly Payment Mechanism**: Experience the simplicity of our financial structure. No deposits or brokerages; only transparent, all-inclusive monthly invoicing.\n\n🏡 **Move-in Ready Living Spaces**: No more endless apartment hunting or paperwork. Live comfortably in our fully-furnished apartments and enjoy single monthly payments sans any brokerage fees.\n\n👩‍💻 **Workspace That Matches Your Drive**: Choose from a range of coworking spaces and private offices, ensuring your workspace is conducive to your vision. We find the best locations for you and your team!\n\n👩‍⚖️ **Legal Entity Structuring**: Our expert partners will guide you through the complex maze of legal entity structuring between the US and India. We’ve negotiated discounted fees for you.\n\n🛂 **Hassle-free Company Setup**: We manage all the administrative tasks such as entity formation and government registrations, so you can focus on what matters most – your startup.\n\n⏩ **Fast-Track Your Launch**: Don’t let delays hinder your momentum. Our efficient lease negotiations and expedited legal processes mean you can be operational in just 2 weeks!\n\n## **📢 Landeed + YC Founders = Unstoppable Force**\n\nWe're on a mission to pave the way for your startup’s triumphant journey in India. With Landeed XF by your side, you can leave the real estate and legal complexities to us, and focus on what you do best – building and scaling your business.\n\n## **🎉 YC Exclusive Deal! 🎉**\n\nAs a special launch celebration, we’re excited to offer an exclusive deal for our YC community! Find out more about this limited-time offer [**here**](https://deals.ycombinator.com/deals/1847).\n\n## **🤝 Let’s Get Started**\n\nReady to take the leap? We’d love to hear from you. Reach out to [**namansrivastava@landeed.com**](mailto:namansrivastava@landeed.com) and let's explore how Landeed XF can propel your startup to new heights.\n\nJoin us on this exciting journey. Landeed XF is here to revolutionize real estate for founders! 🚀💡🏢", "url": "https://www.ycombinator.com/launches/IsQ-landeed-xf-lxf-founder-s-real-estate-concierge", "votes": 90, "created_at": "2024-01-09T22:13:42.397Z" }, { "id": 65182, "title": "🌆Landeed: Do you own your property in India? Are you sure? Let's check 🕵🏽", "tagline": "Landeed is India's first, fastest and only multi-state property title checker🥇 ", "body": "**TL; DR We make it easy for real estate agents, owners, developers, bankers and legal advisors to instantly check property titles. Our Landeed** [**app**](https://www.landeed.com/) **retrieves government generated Encumbrance Certificate (EC) within seconds. This document summarizes all present and past transactions pertaining to a property going back multiple decades.**\n\nNamaste 🙏🏽 we are Jonathan, ZJ and Sanjay, the three musketeers fighting for your land rights. This is our second YC startup together and have known one another for 7 (lucky) years.\n\n### **💀** **Serious Problem 🚨**\n\nApproximately 67% of all court cases in India deal with land-related disputes. This is due to India’s legal framework of “presumptive ownership.” Under this model, the due diligence on property purchases falls on the buyer with government claiming no responsibility. Furthermore, there is no concept of a single “title document” leading to prolonged due diligence phase ranging from 2-6 months whereas most property transactions in US can be concluded in 2-4 days.\n\n### 🧪**Landeed Solution ⚡**\n\nLandeed is a national property title search engine. Use our [app](https://www.landeed.com/) and check property transaction ledger going back 20 years in 2 seconds. Think of it as “Google of real estate titles.” We built a standardized interface simplifying the multiple search methods across states into an intuitive and fluid user experience. Next up, Landeed for the world not just India!\n\n### 🪄**Let’s talk about the magic 👏🏽**\n\nLandeed weaves together multiple government departments across various states producing a “plaid-like” property summary data. Whereas government platforms focus on taxing users for civic micro-services and document generation, our product is built around specific user profiles that have strong intent to transact. The end-result of this approach is a consumer-centric product with enterprise capabilities. Search property titles 10x faster guaranteed or money back ! (it’s free for YC)\n\n### 🤵🏽**Damn I look good (the app)** 📲\n\n![landeed app encumbrance certificate screenshot 1](https://static.wixstatic.com/media/acf78d_f957a692fca24048b10ea00073c1a49a~mv2.png/v1/crop/x_736,y_180,w_1037,h_2120/fill/w_238,h_488,al_c,q_85,usm_0.66_1.00_0.01,enc_auto/ec_details_portrait.png)\n\n![landeed app encumbrance certificate screenshot 2](https://static.wixstatic.com/media/acf78d_92d55dce18e54a0e8c491f12cceb502a~mv2.png/v1/crop/x_731,y_171,w_1041,h_2128/fill/w_238,h_488,al_c,q_85,usm_0.66_1.00_0.01,enc_auto/webview_portrait.png)\n\n🗺️And yes, we support multiple states (Home court advantage: TS 🏏)\n\n🙏🏽Asks\n\n1. Download Landeed [app](https://www.landeed.com/) if you or anyone that you know have property in India\n2. Request a state to launch if we are not currently covering it! We have a high demand waitlist and are constructing our build plans accordingly\n3. Follow us on [twitter](https://twitter.com/LandeedInc?s=20&t=nWcLlnd9LyDH_vTopux4wA) and give us your feedback. It’s still day zero at Landeed.\n4. If you have any other feedback, we’d love to hear it at [founders@landeed.com](mailto:founders@landeed.com)\n5. And of course, if you feel what we are building is impactful, we would appreciate the upvote!\n6. Full disclosure and request: Do not illegally trespass, set up meat shacks (it will be bulldozed 🐂) or try to sell our lands without our express written consent and permission\n7. Nothing to see here except it’s our lucky number and proof that some of you have read all the way to the end. If so, slack or email Jonathan, ZJ or Sanjay simply with the message “7\" and get a surprise gift from us 🧧🎁", "url": "https://www.ycombinator.com/launches/GxK-landeed-do-you-own-your-property-in-india-are-you-sure-let-s-check", "votes": 913, "created_at": "2022-08-07T08:56:12.741Z" } ] }, { "id": 27702, "name": "Mulligan", "slug": "mulligan", "former_names": [ "Pyq", "pyq", "Pyq AI" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/cb7d742c0af1fc213b223ce6a9311844bfe178f6.png", "website": "https://insurestack.ai/", "all_locations": "San Francisco, CA, USA", "long_description": "Mulligan (now Insure Stack) is an end-to-end AI automation platform for commercial insurance brokers. Automates quoting, policy checking, proposals and more by up to 90%.\r\n\r\nIt was acquired in 2026 and is available here: https://insurestack.ai", "one_liner": "AI automation for insurance brokerages", "team_size": 5, "industry": "B2B", "subindustry": "B2B", "launched_at": 1669843803, "tags": [ "Documents", "Generative AI", "Finance", "Workflow Automation", "Insurance" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2023", "status": "Acquired", "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/mulligan", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2023/mulligan.json", "year_founded": 2022, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/pyq-inc/", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/cb7d742c0af1fc213b223ce6a9311844bfe178f6.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": null, "founders": [ { "user_id": 1013488, "full_name": "Aman Raghuvanshi", "title": "Founder", "founder_bio": "Prior to co-founding Mulligan, I worked at Sightly where I was the Director of Product. Studied Computer Science at Claremont McKenna College (through Harvey Mudd) and graduated in 2018. I enjoy watching F1, reading (mostly historical non-fiction that reads like fiction) and playing squash. I have three A.I. patents.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/aman-r-b727976a/", "x_url": "https://twitter.com/araghuvanshi2", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/78d961fa5efd6183e9dfaadaa2a280b48de26f76.jpg" }, { "user_id": 1144997, "full_name": "Emily Dorsey", "title": "Founder", "founder_bio": "I previously worked on the HoloLens at Microsoft. I studied Computer Science and French at Harvey Mudd College, and graduated in 2018. I love reality TV, knitting, and baking. ", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/emdors/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/fc168471b772c1d5e3e31ab25be56966a474a04d.jpg" } ], "jobs": [], "news": [ { "title": "Florida’s Prestige Trucking Insurance Acquires Mulligan, an AI Automation Platform", "url": "https://www.insurancejournal.com/news/southeast/2026/04/09/865144.htm", "date": "Apr 09, 2026" } ], "launches": [ { "id": 94819, "title": "Mulligan: End-to-end AI automation platform for insurance brokers", "tagline": "Automate quoting, policy checking, proposals and more by up to 90%", "body": "**TL;DR** Mulligan is an end to end AI automation platform for commercial insurance brokers. Cuts time spent on quoting, policy checking, proposals and more by 90%.\\\nStart for free at [usemulligan.com](http://usemulligan.com)\n\n[Check out our launch video](https://drive.google.com/file/d/13cMUq8gAs5q-ZjXVqoS7SLv7pAC1ljYF/view?usp=sharing)!\n\n# **Intro**\n\nI’m Aman and we’re building Mulligan, the world’s first end-to-end AI automation platform for commercial insurance brokers. It automates Quoting, Policy Comparison, Proposals, Commissions and more. We work with dozens of brokers and have helped all of them scale their businesses without adding more employees.\n\n# **Problem**\n\nSelling and servicing commercial insurance is a complicated process to begin with, and the manual paperwork involved makes it difficult to scale profitably. Brokers have to spend hours reading lengthy documents, navigating ancient portals and formatting documents to fit into their internal systems.\n\nExisting automation tools typically only address narrow workflows and do not integrate with each other, which means that automating a brokerage involves juggling multiple solutions and integrations.\n\nThe end result is that brokerages spend hundreds of hours every week, and billions of dollars annually, on non-revenue generating tasks and outsourcing.\n\n# **Solution**\n\nMulligan assembles submissions, generates quotes from carrier portals, compares quotes and policies, generates proposals and handles commission statements in minutes, without needing your hands-on-keyboard. Here’s what it can do:\n\n### **Quoting**\n\nQuote from one of the largest selections of commercial lines insurance carriers for Commercial Auto, Workers’ Compensation, Business Owners’, General Liability and Trucking policies. Do so with minimal data entry and largely without human intervention. This makes it easy for an agent to get a more complete view of the market, do less data entry and spend more time with their customers.\n\nTo use it, select the carriers to quote, upload any documents that contain relevant data and click “Submit’’. Mulligan then logs into and produces draft quotes in each carrier portal, ready to review, edit and bind.\n\n![uploaded image](/media/?type=post&id=94819&key=user_uploads/1013488/6f26d394-1c38-4f97-a17e-99c397e184db)\n\n### **Policy Checking & Comparison**\n\nAnalyze quotes, binders or policies, compare across documents and identify gaps in coverage. Manually analyzing these documents used to take hours, if not days, and can now be done in minutes. This tool can be used to service existing customers, as well as to help close new ones by analyzing their existing policies and identifying areas of improvement.\n\nSimply upload docs, view them side-by-side, chat with them and match them to checklists to identify gaps.\n\n![uploaded image](/media/?type=post&id=94819&key=user_uploads/1013488/dbc87031-968d-4c02-8301-d77ee5cd94d3)\n\n### **Proposals**\n\nGenerate beautiful, branded proposals using quotes, policies and binders in minutes. These documents can be produced in Mulligan’s own design format, or using a template provided by the agency. The end result is a document whose style, content and tone showcases the agency’s professionalism and thoroughness.\n\n![uploaded image](/media/?type=post&id=94819&key=user_uploads/1013488/f393c554-a4f4-4485-8d9a-9e89bfe6248e)\n\n### **Submissions**\n\nProduce clean, complete and professional submissions to send to underwriters. Upload diverse documents such as loss runs, SOVs, vehicle and driver lists, and produce easily ingestible documents with just a few clicks. These submissions help portray the customer in the best possible light, and get processed by underwriters faster since they are well organized and easy to process.\n\n![uploaded image](/media/?type=post&id=94819&key=user_uploads/1013488/66ba3d38-9f05-4ae9-a64f-fccefee61a2c)\n\n### **Commissions**\n\nExtract commissions from lengthy statements and transform them into a format expected by most popular Agency Management Systems such as Applied Epic, AMS360, EZLynx, Veruna and more. Furthermore, review the values in the commission statement to check if there’s an underpayment from the carrier, or to reconcile the books faster.\n\n![uploaded image](/media/?type=post&id=94819&key=user_uploads/1013488/218d7bc3-1aa4-45d6-abb8-0ddabd48c31f)\n\n# **How to get started**\n\nIf you are an insurance agent working on commercial lines, or know someone who is, sign up at [usemulligan.com](http://usemulligan.com) for free and get started today. Mulligan has already been deployed across organizations of various sizes, and offers flexible pricing models that fit any budget.\n\n![uploaded image](/media/?type=post&id=94819&key=user_uploads/1013488/ac7eae38-9fd9-434a-924d-eadc97472b0c)\n\n", "url": "https://www.ycombinator.com/launches/OfL-mulligan-end-to-end-ai-automation-platform-for-insurance-brokers", "votes": 34, "created_at": "2025-10-22T16:15:47.880Z" } ] }, { "id": 27871, "name": "Extend", "slug": "extend", "former_names": [ "CrowdView" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/184d30d91903380caada7f52cd7cd7992759e07b.png", "website": "https://www.extend.ai/", "all_locations": "New York City, NY, USA", "long_description": "Parse, extract, and split your hardest documents with unmatched accuracy. Read any layout with specialized vision models, and ship reliable pipelines in minutes, not months.", "one_liner": "Production-ready document processing", "team_size": 25, "industry": "B2B", "subindustry": "B2B", "launched_at": 1679062598, "tags": [ "Documents", "Developer Tools", "B2B", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 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/extend", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2023/extend.json", "year_founded": 2023, "city": "New York City", "country": "US", "linkedin_url": "https://www.linkedin.com/company/extend-app", "x_url": "https://twitter.com/extendHQ", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/184d30d91903380caada7f52cd7cd7992759e07b.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": 137869, "full_name": "Kushal Byatnal", "title": "Founder", "founder_bio": "2x technical founder interested in making it easy to build internal tools. Previously, I worked as an early engineer at Brex and then cofounded Stir, a creator fintech company that grew to hundreds of millions in payment volume.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/kushal-byatnal-92a33085/", "x_url": "https://twitter.com/kushalbyatnal", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/ffbc77035467f2a55670b375c631a97cd63d9abd.jpg" }, { "user_id": 1121959, "full_name": "Eli Badgio", "title": "Founder", "founder_bio": "Co-founder @ Extend", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/eli-badgio/", "x_url": "https://twitter.com/ebadgio_", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/1e76a78dbd63d57a5bf1aa189fc87146d3990faa.jpg" } ], "jobs": [], "news": [ { "title": "Extend Raises $17 Million to Build the Document Processing Cloud | Extend", "url": "https://www.extend.ai/resources/series-a", "date": "Jun 17, 2025" } ], "launches": [ { "id": 87403, "title": "📄 Extend - Unified Document Processing Platform", "tagline": "Turn messy documents into high quality data, achieve > 95% accuracy, and ship custom document pipelines in days, not months.", "body": "![uploaded image](/media/?type=post&id=87403&key=user_uploads/137869/a0dc2100-5072-45e4-92c3-d6088bf15bdf)\n\n# What is Extend in a nutshell?\n\nExtend provides document processing infrastructure, tooling, and APIs that enable technical teams to handle complex documents with state-of-the-art accuracy and reliability.\n\nCompanies like Chime, Brex, Flatiron Health, Opendoor, and Checkr use Extend for mission-critical document pipelines to achieve > 95% accuracy on their hardest docs, and go live in days (not months).\n\n[Sign up to get started](https://dashboard.extend.ai/)\n\n# The Problem\n\nProcessing complex documents **is hard.** You have to deal with:\n\n* Difficult layout elements like tables, charts, handwriting, and signatures\n* Lengthy documents needing chunking and merging strategies\n* Extracting structured data with > 95% accuracy across a variety of input formats\n* Optimizing outputs for LLM readability\n* Ensuring accuracy and reliability in production for critical use cases\n\n# Our Solution\n\nThere are plenty of OCR and document parsing options on the market. However, we noticed customers still struggling to deploy complex use cases when accuracy requirements are high (> 95%). This is because OCR and parsing is only one part of the problem, and real world use cases need to bridge the gap between raw outputs and production-ready data.\n\nExtend uniquely solves this by unifying models, infrastructure, and tooling into a single platform for end to end document processing.\n\nThis includes:\n\n* Process any document format with state-of-the-art parsing powered by VLMs and OCR\n* Capture precise data with multi-step extraction powered by semantic chunking, bounding boxes, and citations\n* Tackle the most complex use cases with processing modes for document parsing, classification, extraction, and splitting\n* Deploy faster with low code tooling that empowers your entire team to quickly iterate, review results, and improve accuracy\n* Continuously improve results with fine-tuning pipelines that turn reviewed corrections —> custom models\n\nFor example, Extend’s built-in evaluation tools to help you benchmark performance, improve accuracy, and deploy with confidence.\n\n![uploaded image](/media/?type=post&id=87403&key=user_uploads/137869/801788f4-a72c-4d1a-8dd0-d4e9f9f18436)\n\nOur customizable document splitter identifies each distinct section and their relationships according to your instructions. This is critical when ingesting lengthy documents (or multi-document packages).\n\n![uploaded image](/media/?type=post&id=87403&key=user_uploads/137869/f0c2726e-b58f-42fc-8a9a-2b5294c5751d)\n\nHere’s an example of zero-shot table extraction on a complex healthcare doc. What enables this is vision models specialized for tabular structures, working alongside our bounding box citations & human-in-the-loop review system.\n\n![uploaded image](/media/?type=post&id=87403&key=user_uploads/137869/df2d9e80-2ade-4730-98ed-f0a15f942450)\n\n# Hear it from our customers\n\nMatt Hodgson, CTO at Vendr:\n\n> We did a bakeoff, and Extend had the best results of any solution on the market. It eliminates an entire class of engineering problems around accuracy we don’t want to worry about.\n\nAdam Litton, Staff Engineer at Checkr:\n\n> Extend eliminates the maintenance cost of model tuning, scoring, evaluations, and more. We’re able to focus on our core experience instead of managing the infra.\n\nFabio Fleitas, CTO at Tesorio:\n\n> I don’t know what you guys are doing under the hood, but it’s so much more accurate than any other tool we’ve tried.\n\n# Get Started\n\nIf you’re building document processing pipelines with high accuracy requirements, get in touch with us!\n\n* [Book a demo](https://extend.cal.com/extend/extend-intro-call)\n* Email us at [founders@extend.app](mailto:founders@extend.app)", "url": "https://www.ycombinator.com/launches/Mjj-extend-unified-document-processing-platform", "votes": 34, "created_at": "2025-02-04T15:46:20.176Z" }, { "id": 73038, "title": "Extend - Build AI-powered workflows for unstructured data", "tagline": "Intelligently process documents, emails, images, and more with powerful tools for extraction, classification, and analysis.", "body": "**TLDR;** Extend makes it easy to process unstructured data in the form of PDFs, images, emails, and more. Build workflows that combine LLMs, business logic, integrations, and human-in-the-loop confidence - all without a line of code.\n\n![uploaded image](/media/?type=post&id=73038&key=user_uploads/137869/8f86f279-0f42-4ab8-891d-a0ef4df19126)\n\n**The problem**\n\nVast amounts of data is often locked away inside messy PDFs, images, or emails and companies often build entire operational workflows around trying to manage and understand it. Humans have to do the tedious manual work of organizing and parsing all of it, but that’s just the start. To make use of that data, workflows have to be built around classification, validation, deduplication, fraud & spam checks, anomaly detection, manual audits, and so much more.\n\n**How Extend works**\n\nExtend comes with a set of building blocks to manage workflows around unstructured data. It can be used both:\n\n* **internally** to manage and automate complex operations (e.g. back office ops/fraud/support/finance use cases)\n* **externally** in your product (e.g. drop in a embeddable component to collect, classify, and validate documents uploaded by your end users in real time)\n\nHere’s how:\n\n**Combine** LLMs with business logic, validations, and integrations.\n\n![uploaded image](/media/?type=post&id=73038&key=user_uploads/137869/ff3801ab-d622-4938-92bd-417d55d22fec)\n\n**Build** custom workflows that mirror your internal operations, and let them run on autopilot.\n\n![uploaded image](/media/?type=post&id=73038&key=user_uploads/137869/caccc352-e74d-45cb-a579-581746f4bc00)\n\n**Deploy** confidently into production with built-in confidence scoring and human-in-the-loop flows.\n\n![uploaded image](/media/?type=post&id=73038&key=user_uploads/137869/2c18cecb-152f-4c89-9d2f-0b9648b07aba)\n\n**Integrate** via our API, dashboard, or even embed Extend natively in your user-facing product.\n\n![uploaded image](/media/?type=post&id=73038&key=user_uploads/137869/3f48afc3-0b2f-46a0-b066-bf3ded6cf8c6)\n\n\n### **Get Started**\n\n[**Sign up**](https://www.extend.app/) on our website! Right now, we’re running a special deal + priority onboarding and support.\n\n### **Asks**\n\n* We’re growing quickly and looking to hire ex-founders (please reach out)!\n* Follow us on [**Twitter**](https://twitter.com/extendhq) and [**LinkedIn**](https://www.linkedin.com/company/extend-app/?viewAsMember=true) to stay in touch\n* We love any and all kinds of feedback", "url": "https://www.ycombinator.com/launches/J02-extend-build-ai-powered-workflows-for-unstructured-data", "votes": 26, "created_at": "2023-07-13T19:36:11.447Z" }, { "id": 70372, "title": "Extend - Build internal Chrome extensions that give your team superpowers", "tagline": "Ship internal tools that reduce context switching, eliminate copy/pasting, and customize any website your team relies on.", "body": "### **TL;DR**\n\nExtend is a low code developer tool that makes it easy to build internal chrome extensions for your company.\n\nFor example, **support teams** can solve tickets faster with custom buttons that call internal APIs, draft responses, and bring GPT-4 into the loop.\n\n![uploaded image](/media/?type=post&id=70372&key=user_uploads/137869/d1322b76-0479-474e-b51d-96e26317ce37)\n\n**Sales teams** can customize their CRM with real-time database queries and UI overlays.\n\n![uploaded image](/media/?type=post&id=70372&key=user_uploads/137869/7db4d9cb-69f4-4308-a918-71f49991ffc5)\n\n**Give your company superpowers in 15 minutes.**\n\nExtend gives your developers building blocks so they can build these types of workflows in 15 minutes.\n\nWe provide:\n\n1. tons of pre-built modules (e.g. extract info from the page via GPT-4, inject a button in to the DOM)\n2. beautiful UI components\n3. secure connections to your database + internal APIs\n4. one-click instant deployment to your team\n\nJust write your custom business logic and wire up the flow, we’ll handle the rest.\n\n**Extend is a better way of building internal tools.**\n\nI’ve spent years working in fintech and built a ton of internal tooling for support and operations teams. But using most internal tools today requires a ton of copy/pasting and context switching, which any support or operations team will tell you is the bane of their existence. Chrome Extensions enable your internal tools to live _inside_ the apps where your teams already spend 90% of their time today.\n\nAnd now with GPT-4, your teams can activate supercharged workflows within the context of your existing tools.\n\n**Get Started**\n\n* For the first 5 companies that [sign up](https://tally.so/r/w2Xx5L), we’ll build your internal chrome extension for you with **no engineering resources needed on your end**!\n* Send a note to [kushal@extend.app](mailto:kushal@extend.app) if you have feedback / want to chat", "url": "https://www.ycombinator.com/launches/IJ2-extend-build-internal-chrome-extensions-that-give-your-team-superpowers", "votes": 75, "created_at": "2023-03-17T14:16:56.849Z" } ] }, { "id": 27897, "name": "TableFlow", "slug": "tableflow", "former_names": [ "Inquery" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/fad6d127e5843dda3d9f06585de22ad73a6df795.png", "website": "https://tableflow.com", "all_locations": "San Francisco, CA, USA", "long_description": "TableFlow builds AI teammates for data tasks, helping operations and data teams automate the messy, manual tasks buried in PDFs, spreadsheets, images, and emails.", "one_liner": "AI Teammates for Data Tasks", "team_size": 2, "industry": "B2B", "subindustry": "B2B -> Operations", "launched_at": 1676487521, "tags": [ "Documents", "SaaS", "Data Engineering", "Automation", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2023", "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/tableflow", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2023/tableflow.json", "year_founded": 2022, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/tableflowhq", "x_url": "https://x.com/tableflow", "fb_url": null, "cb_url": "https://www.crunchbase.com/organization/tableflow", "github_url": "https://github.com/tableflowhq", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/fad6d127e5843dda3d9f06585de22ad73a6df795.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": 405594, "full_name": "Mitch Patin", "title": "Founder", "founder_bio": "Co-founder and CEO at TableFlow. Early engineer at Bolt (transitioned to product). First product hire at Heymarket.\n", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/mitchpatin/", "x_url": "https://twitter.com/mitchpatin", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/1951bf8df013b0f7a0a692a6e5c288aa4392e57c.jpg" }, { "user_id": 1166460, "full_name": "Eric Ciminelli", "title": "Founder", "founder_bio": "Co-founder and CTO at TableFlow. Early engineer on the commerce team at Facebook. First full-stack engineering hire at Heymarket.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/ericciminelli/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/2387b88cd77c1ab73a503d75967f5c28c5365823.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 73464, "title": "🛶 TableFlow: AI Document Processing", "tagline": "Extract, transform, and validate data from any file: CSV, PDF, and more", "body": "### TL;DR\n\nTableFlow enables enterprises to extract and transform unstructured data from CSVs, PDFs, images, and web pages. Instead of spending time on manual data entry and validation, teams use TableFlow to automate these tasks with AI.\n\n![uploaded image](/media/?type=post&id=73464&key=user_uploads/405594/c161bc5a-7c2f-45d1-8e93-39ea826fc6a6)\n\nHi everyone, we’re Eric and Mitch from [TableFlow](http://tableflow.com)! 👋\n\n### Problem\n\nMany companies rely on spreadsheets, PDFs, and other file types to import partner or customer data, which exists in a variety of formats. This difficult and time-consuming process often leads to companies relying on a combination of in-house tooling and manual work to migrate the data. This becomes even more problematic when ingesting hundreds or thousands of files a week.\n\n### Solution\n\nTableFlow handles the file import process with automated pipelines that use AI to map, extract, transform, and validate data.\n\n**How it works:**\n\n1. Define your destination schema in our app. These are the columns and data types that you want to transform data to.\n2. Import a file via our API.\n3. Receive a webhook when the file finishes processing (takes \\~10 seconds, even with 100k+ records). This will include any errors, such as a required field being missing.\n4. Optional: Review the imported data in our application before continuing.\n5. Import the cleaned, transformed data into your system.\n\n[Demo Video](https://www.loom.com/share/a07bfd2c55454127afa44df31a973c81?sid=42c402db-1ee5-4886-a009-484bcdc1df3a)\n\n### TEAM\n\nWe met while working at Heymarket, a Series-A startup in SF. Mitch was the first product hire, and Eric was the first full-stack engineer. During our two years there, we co-owned many projects and defined many of the engineering & product processes to help the company scale. We became friends outside of the office by talking about startups, tennis, pickleball, and mountain biking.\n\n[Mitch](https://www.linkedin.com/in/mitchpatin/) started his career as an engineer before moving to the dark side (product 😛). He previously worked at GE Digital and Bolt and founded a company focused on B2B payments.\n\n[Eric](https://www.linkedin.com/in/ericciminelli/) is a software engineer who previously worked at Facebook and myMatrixx and co-founded a company that created a search engine for car shopping online.\n\n### Asks\n\n💌 If your team handles recurring imports of data in different schemas and formats, we’d love to hear about the problems you’ve encountered. Just leave your info [here,](https://tableflow.com/join-waitlist) and we’ll reach out!", "url": "https://www.ycombinator.com/launches/J6u-tableflow-ai-document-processing", "votes": 122, "created_at": "2023-07-26T20:36:20.772Z" } ] }, { "id": 28414, "name": "Automat", "slug": "automat", "former_names": [ "Lasso", "Automat (formerly lasso)" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/55c324c494df9a6e5d939b7ecdc8e94880f2d575.png", "website": "https://www.runautomat.com/", "all_locations": "San Francisco, CA, USA", "long_description": "Automat is an AI automation company that replaces slow manual work and brittle legacy RPA with agents that understand context, recover from errors, and improve over time. Backed by a forward-deployed engineering team and enterprise-grade security (SOC 2, HIPAA, GDPR, ISO 27001), Automat runs reliable, human-in-the-loop automation for document-heavy industries — mortgage & lending, banking, insurance, healthcare, and manufacturing. It delivers this through two products: Automat Workforce and Automat Core.\r\n\r\nWorkforce - A digital teammate you onboard like a new hire. \r\nMeet Ace, a digital teammate with its own email, Slack, phone, and logins that works across the tools your team already uses. You reach it like a colleague (a text, a channel mention, an email, a doc comment) and it does the work end to end, asks when it needs judgment, and leaves an audit trail for everything it touches.\r\n\r\nLearn more here: https://runautomat.com/workforce \r\n\r\n\r\nCore - Managed agentic automation for enterprise \r\nManaged, AI-powered process automation for the enterprise. Automat Core replaces legacy RPA with self-healing agents that combine UI automation, AI document extraction (IDP), and API workflows in one platform. Automat's team builds, tests, and monitors every automation, so operations go live in days (not months), run reliably at scale, and cut operational costs — with human review wherever precision matters.\r\n\r\nLearn more here [https://runautomat.com/capabilities](https://runautomat.com/capabilities)", "one_liner": "Agentic automation that understands context, recovers, and improves.", "team_size": null, "industry": "B2B", "subindustry": "B2B -> Operations", "launched_at": 1677178978, "tags": [ "Documents", "Developer Tools", "Robotic Process Automation", "Automation", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Winter 2023", "status": "Active", "industries": [ "B2B", "Operations" ], "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/automat", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2023/automat.json", "year_founded": 2023, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/90558949/admin/", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/55c324c494df9a6e5d939b7ecdc8e94880f2d575.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": 415306, "full_name": "Lucas Ochoa", "title": "Founder", "founder_bio": "CEO at Automat | Ex:Google & Microsoft", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/lucas-ochoa-51222678/", "x_url": "https://twitter.com/lucas0choa", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/a3460bb02cae910a8167c7a514d4b7c6208771d6.jpg" }, { "user_id": 249452, "full_name": "Gautam Bose", "title": "Founder", "founder_bio": "Open Laptop, an Open Mind", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/gautambose/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/6cc3e7ee978641ccc9ae1932877dff2f101c8f69.jpg" } ], "jobs": [ { "id": 77831, "title": "Applied AI Engineer", "url": "https://www.ycombinator.com/companies/automat/jobs/JyD9j1f-applied-ai-engineer", "location": "San Francisco", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$175K - $220K", "equity_range": "0.25% - 1.00%", "experience": "1+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 77834, "title": "Sales Development Representative", "url": "https://www.ycombinator.com/companies/automat/jobs/95CHPIW-sales-development-representative", "location": "San Francisco", "type": "Full-time", "role": "Sales", "role_type": null, "salary_range": "$90K - $130K", "equity_range": "0.02% - 0.05%", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] }, { "id": 77835, "title": "Enterprise Account Executive (Full Cycle)", "url": "https://www.ycombinator.com/companies/automat/jobs/WDGBMTs-enterprise-account-executive-full-cycle", "location": "San Francisco", "type": "Full-time", "role": "Operations", "role_type": null, "salary_range": "$90K - $140K", "equity_range": "0.02% - 0.05%", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 79159, "title": "Forward Deployed Engineer", "url": "https://www.ycombinator.com/companies/automat/jobs/QfHWU1w-forward-deployed-engineer", "location": "San Francisco", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$145K - $185K", "equity_range": "0.05% - 0.20%", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 81081, "title": "Senior Software Engineer", "url": "https://www.ycombinator.com/companies/automat/jobs/Uak8GDJ-senior-software-engineer", "location": "San Francisco", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$175K - $220K", "equity_range": "0.05% - 0.25%", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [] } ], "news": [ { "title": "Automat Raises $15.5M Series A | Automat", "url": "https://www.runautomat.com/blog/automat-raises-15-5m-series-a", "date": "Nov 19, 2025" }, { "title": "Y Combinator-backed Automat turns videos into workflow automations | TechCrunch", "url": "https://techcrunch.com/2023/09/06/y-combinator-backed-automat-turns-videos-into-workflow-automations/?guccounter=1&guce_referrer=aHR0cHM6Ly93d3cuZ29vZ2xlLmNvbS8&guce_referrer_sig=AQAAAMl7GrmIJwYOYFCoUcYfqNTrV0r82APvTlpVt0DMIEyjpjQS9MtJb9DFuiE2HtyaFOpOQzv4SZPUnB89Y9Lxdkdk1vXkAKBjYDjtkKkbSOpUGhc_GhcgUMy3aS5HO5L99OwXIn1t8_zFB9_NfDUPitSBQXBL-PWj4j52H5k2nzke", "date": "Sep 06, 2023" }, { "title": "These Y Combinator-backed startups are trying to build 'ChatGPT for X'", "url": "https://techcrunch.com/2023/04/04/these-y-combinator-startups-are-trying-to-build-chatgpt-for-x/", "date": "Apr 04, 2023" }, { "title": "The Top 34 Companies of the W23 Program with a focus on AI", "url": "https://www.cerebralvalley.com/post/a-synopsis-of-y-combinator-companies-in-the-w23-batch-of-startups", "date": "Mar 15, 2023" }, { "title": "AI-led change means businesses must adopt more quickly.", "url": "https://russmalz.com/ai-led-change-is-forcing-businesses-to-adapt-quickly-and-the-pace-is-accelerating/", "date": "Feb 26, 2023" } ], "launches": [ { "id": 117458, "title": "Ace from Automat: it's instinct, but for work", "tagline": "Hire an AI teammate with its own computer, phone number, inbox, and logins. It works inside the tools you already use and hands back finished work, not status updates.", "body": "Hi! Lucas here from Automat. Stoked to share what the team's been heads-down on: Ace. It's instinct, but for work. **The TL;DR: you can now hire an AI teammate.**\n\nEvery team we talk to wants AI teammates, but doesn't know how to actually put one to work. Maybe you've tried homebrewing OpenClaw or Hermes. The two usual options both whiff: traditional automation (UiPath) makes you sign up for a months-long integration project before it does one useful thing, and AI \"assistants\" hand you a wall of text, and you still go do the work yourself.\n\n**Ace is different.** You onboard it like any new hire, and it shows up where the work happens:\n\n• Forward it an email or cc its own inbox, and the draft lands in your Drive with the judgment calls left as comments.\n\n• @Ace in Slack after a call, and the summary + action items land on the opportunity.\n\n• Text it between meetings (\"move Thursday to Friday and tell them why\"), and it updates the invite, emails everyone, and confirms.\n\n• Ping it in a doc comment, or have it make a call on its own line.\n\nWhat comes back is finished work: CRM updated, email sent, invoice reconciled. When it hits a real fork in the road, it hands you the open questions instead of guessing.\n\n**Why trust it?** We spent two years automating high-volume work in mortgage, lending, and insurance, where a wrong answer is a compliance problem. Ace pairs a deterministic engine for must-be-identical work with AI for the fuzzy stuff. Every run is logged step by step, you set what needs approval, and you can revoke access like any employee's. SOC 2, encrypted credentials, role-based access.\n\n\"I really tried hard not to like this product, and I'm in love.\" — Asa Block, COO, Near Space Labs\n\n\"It's a no-brainer… Monday to Friday you won't believe how much more stuff you get done.\" — Jack Miller, President & CEO, T3 Sixty\n\n## Our asks 🙏\n\n• Try Ace: One month free with unlimited usage for the YC community only. Sign up here:() Use the promo code: ACEYC30\n\n• Intros: Know a team drowning in admin across a dozen systems? Send them our way.\n\n• We're hiring! ", "url": "https://www.ycombinator.com/launches/UYU-ace-from-automat-it-s-instinct-but-for-work", "votes": 1, "created_at": "2026-09-30T16:33:11.033Z" }, { "id": 69615, "title": "Automat RPA - Robotic process automation for Chrome using ChatGPT and computer vision", "tagline": "Automate anything in Chrome using natural language", "body": "### **TLDR: Traditional automation software is slow and expensive, Automat is 10X faster and 1/10th the price. It lets operations teams automate using natural language.**\n\nHowdy y’all! Lucas here from [Automat](https://www.getlassoai.com/) - excited to share what my cofounder Gautam and I have been working on!\n\n**🧐 The problem: Traditional Robotic Process Automation is slow and expensive.**\n\nIt’s extremely time consuming and expensive to build out robot process automations using traditional tools like UiPath (\\~$66,000 per yearly license - Yikes!) not to mention the initial consultant setup fees which most people are forced to pay if they don’t have the resources in house (at the lowest end we’re talking $50,000+ per project - Double Yikes!!)\n\n💡 **Our Solution: Automat makes it 10X cheaper and faster to build any robotic process automation using natural language on chrome.**\n\nWe’re solving this by creating a platform that enables robotics process automation for Chrome using large language models and computer vision.\n\nCurrently our customers send us descriptions or videos of the processes they’d like us to automate and we use our internal tooling to quickly build out those automations.\n\nHere is one of our customer’s attended bots in action, scraping an email, looking through a prospecting tool, and saving it to a spreadsheet.\n\n![uploaded image](https://bookface.ycombinator.com/media/?type=post&id=69615&key=user_uploads/415306/a547a684-faee-4c6e-b3db-88cef800940a)\n\n\\\nWe want to let anyone regardless of timeline or budget automate the work they do by using natural language or simply sending Automat the workflow in a screen recording.\n\n**👯 A little more about us**\n\n![uploaded image](/media/?type=post&id=69615&key=user_uploads/415306/e82023cd-a7c1-4be3-8446-f2e0c2eae6f6)\n\nGautam and Lucas met on the first day of Design school at Carnegie Mellon University and have been roommates ever since:\n\n* At Google, their team was tasked with finding product applications of [LaMDA](https://blog.google/technology/ai/lamda/) in early 2020, and they built over 50+ prototypes integrating LaMDA across Google’s products and services. Eventually Gautam would go on to implement multiple demos for Google’s [first public Demonstration of LaMDA](https://www.theverge.com/2022/5/11/23065072/google-ai-app-test-kitchen-future-io-2022), the AI test kitchen.\n* They were hired together at Google’s Creative Lab as part of the [Creative Lab 5](https://www.creativelab5.com/), at Google they spent the following three years launching products like the [AI Test Kitchen](https://blog.google/technology/ai/join-us-in-the-ai-test-kitchen/), [Everyday Helper Robots](https://everydayrobots.com/), [Teachable Machine](https://teachablemachine.withgoogle.com/), the [Google Pixel Buds Pro](https://store.google.com/product/pixel_buds_pro?hl=en-US&pli=1), and most importantly a [high speed lucky charms cereal sorter](https://coral.ai/projects/teachable-sorter) 🍀\n* At Carnegie Mellon they studied Human Computer Interaction and Design. During their Junior year they created an adorable [AI robotic assistant](https://vimeo.com/270823057) that caught Google’s attention which awarded them a grant during their senior year to [research Robotics and AI](https://vimeo.com/393172151).\n\n**🙏 Our asks**\n\nAre you struggling in a deluge of repetitive or complex tasks that you wish you could hire someone for (or automate) but don’t have the budget? Send an email to [lucas@runautomat.com](https://lucas@runautomat.com) or submit a request on our [website](https://www.getlassoai.com/).\n\nDoes the above sound like someone you know? We’d appreciate intros to anyone. Let us know and we can send you over a quick intro blurb to make it an easy email to forward.\n\n**YC Special Offer:** For the first 10 YC companies that reach out we’ll waive the setup fee associated with building your automation!", "url": "https://www.ycombinator.com/launches/I6p-automat-rpa-robotic-process-automation-for-chrome-using-chatgpt-and-computer-vision", "votes": 91, "created_at": "2023-02-23T19:08:21.664Z" } ] }, { "id": 28854, "name": "Docsum", "slug": "docsum", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/cbbf3c5f2937adf8242a332b8bfc9fbaa18073e3.png", "website": "https://www.docsum.ai/", "all_locations": "New York City, NY, USA", "long_description": "Docsum is a contract intelligence platform designed for legal and finance teams. Using AI, Docsum extracts critical data like renewal dates, obligations, and more into a searchable database. The platform is fully customizable with features like custom field reporting, alerts, and playbook-powered redlining. Getting started is simple—upload contracts or connect Docsum to tools like Google Drive, DocuSign, and more.", "one_liner": "AI contract repository", "team_size": 4, "industry": "B2B", "subindustry": "B2B -> Legal", "launched_at": 1689290654, "tags": [ "Documents", "B2B", "Legal", "LegalTech", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2023", "status": "Active", "industries": [ "B2B", "Legal" ], "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/docsum", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2023/docsum.json", "year_founded": 2023, "city": "New York City", "country": "US", "linkedin_url": "https://www.linkedin.com/company/docsum", "x_url": "https://twitter.com/DocsumAI", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/cbbf3c5f2937adf8242a332b8bfc9fbaa18073e3.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": 1402995, "full_name": "Shaunak Turaga", "title": "Founder", "founder_bio": "I'm serving as CEO and co-founder of Docsum (S23). I have a background as a developer, product manager, and founder at places like Pacaso, OpenTrack, Capital One, and IBM.", "is_active": true, "linkedin_url": "https://linkedin.com/in/shaunakturaga", "x_url": "https://twitter.com/shaunakturaga", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/191f11e55712feee11bc7f5f8196473c9024219b.jpg" }, { "user_id": 332166, "full_name": "Alex Leonov", "title": "Founder", "founder_bio": "I’m serving as CTO and co-founder of Docsum (S23). I make contracts suck less by building ruthlessly efficient systems that turn legal spaghetti into structured intelligence.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/alexander-l-leonov/", "x_url": "https://twitter.com/AlexLLeonov", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/6e857c19807de5a9f903ce2e09f4a65860f9e77a.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 73084, "title": "🔍 Docsum - AI contract reviewer for legal teams", "tagline": "Supercharge your contracting workflows from review to negotiation by 3x", "body": "**TL;DR:** [Docsum](https://www.docsum.ai?utm_source=yc&utm_medium=blog&utm_campaign=yc-launch) is an AI contract review and negotiation platform. With Docsum, legal, procurement, and sales teams can negotiate and manage contracts 3x faster, to reduce the time to close and win more deals. Docsum works by analyzing and redlining contracts using configurable playbooks owned by lawyers. [Start reviewing your contracts now.](https://app.docsum.ai?utm_source=yc&utm_medium=blog&utm_campaign=yc-launch)\n\n**Problem**\n\n* Sales teams often own the contracting process from reviewing NDAs to sending out MSAs. **Sales teams are motivated to respond to clients quickly and reduce their time to close** but their ability to review and respond to contract redlines is contingent on collaboration with their legal counsel. **This process can be expensive, time consuming, and hard to manage.**\n* For smaller teams, basic contract review and contract negotiation services with external counsel can be incredibly expensive and time consuming.\n* For larger organizations, in-house counsels are burdened by high matter volumes that often position them as bottlenecks within sales cycles.\n\n### **Docsum — an AI legal copilot for sales teams**\n\n![uploaded image](/media/?type=post&id=73084&key=user_uploads/315362/deadeee1-6bfc-449f-bcac-14ce40fbeed9)\n\n* **Review**: Use Docsum to upload a legal contract and get a comprehensive **summary and ask to our AI attorney questions.**\n* **Analyze**: Get a list of potential red flags and proposed redlines to negotiate with.\n\n![uploaded image](/media/?type=post&id=73084&key=user_uploads/315362/ee9eca02-f2c7-4c08-8b17-a452edca617a)\n\n* **Playbook**: Upload your redlined contract to get advice on how to respond with **suggested resolutions** sourced from your organization’s configured playbook or from our pre-configured playbook trained by our human attorneys.\n\n### **How is Docsum different?**\n\n* **Extensible**: Currently, we are focused on being the best-in-class legal analysis and contract negotiation tool. We believe we can integrate into your existing contract life cycle processes.\n* **🔌 Interoperable**: We believe the best solutions are integrated where people work so we plan to build an eco-system of tooling which includes our **web application, native Word + Google plugins**, where legal and sales teams work.\n* **💪🏽 Collaborative**: We believe that legal teams are essential for creating and preserving value for organizations. Our hope is to enable organizations to engage their legal counsel in a more strategic and efficient manner. We aren’t trying to replace lawyers with AI.\n\n### **The Team**\n\n![uploaded image](/media/?type=post&id=73084&key=user_uploads/315362/041fefbc-316e-4285-958f-947c170c09af)\n\nWe’re [Shaunak](https://www.linkedin.com/in/shaunakturaga/) and [Alex](https://www.linkedin.com/in/alexander-l-leonov/). We’ve been best friends since college and the picture above is us bartending in a horse trailer bar that we built called [Barbox](https://www.instagram.com/barboxraleigh/) — a premium event bartending business which we sold last year.\n\nShaunak has experience as a developer and product manager at Pacaso, OpenTrack, Capital One. Alex has experience as a developer and architect at Pacaso and Fidelity. We worked on growth and global expansion while at Pacaso.\n\n### **Our Ask**\n\n* **Sign up today:** Do you deal with sales contracts? [Sign up to try Docsum today](https://app.docsum.ai?utm_source=yc&utm_medium=blog&utm_campaign=yc-launch)\n* **Connect with us:** Do you know of any founders, CROs, sales leaders, deal desk teams, general counsels, or transactional attorneys that might be interested in reducing their time to close and achieve more efficient contracting workflows? We would be most grateful if you can connect us! Email us at [founders@docsum.ai](https://mailto:founders@docsum.ai)", "url": "https://www.ycombinator.com/launches/J0m-docsum-ai-contract-reviewer-for-legal-teams", "votes": 36, "created_at": "2023-07-14T18:09:12.155Z" } ] }, { "id": 29254, "name": "Reducto", "slug": "reducto", "former_names": [ "Remembrall" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/9794d4fb523375d125992ce9fa5e9e9db45daf9a.png", "website": "https://reducto.ai", "all_locations": "San Francisco, CA, USA", "long_description": "Reducto is the agentic document platform for leading AI teams building systems to automate document workflows at enterprise scale.\r\n\r\nOur platform provides a comprehensive toolkit for working with documents the way a human would, combining custom in-house and leading frontier models to power efficient and accurate document workflows. Reducto is trusted by leading AI teams at companies like Harvey, Scale AI, and Vanta.\r\n\r\nWe are built for enterprise workloads with flexible deployment options from the cloud to fully air-gapped environments, SOC II and HIPAA compliance, and zero data retention.\r\n\r\nLearn more: https://reducto.ai/\r\nFind our YC deal: https://reducto.ai/yc", "one_liner": "The complete agentic document platform", "team_size": 30, "industry": "B2B", "subindustry": "B2B -> Engineering, Product and Design", "launched_at": 1704664395, "tags": [ "Documents", "Data Engineering", "Enterprise Software", "Search", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Winter 2024", "status": "Active", "industries": [ "B2B", "Engineering, Product and Design" ], "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/reducto", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2024/reducto.json", "year_founded": 2023, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/reducto-ai/", "x_url": "https://x.com/reductoai", "fb_url": null, "cb_url": null, "github_url": "https://github.com/reductoai", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/9794d4fb523375d125992ce9fa5e9e9db45daf9a.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": 1577822, "full_name": "Raunak Chowdhuri", "title": "Founder/CEO", "founder_bio": "Co-founder/CTO at Reducto. Before Reducto I studied CS at MIT, founded/scaled a comp. chem consulting company to 200k ARR, published computer vision papers with 100+ citations before finishing high school, and spent a little too much time shit posting on Twitter.", "is_active": true, "linkedin_url": "https://linkedin.com/in/sauhaarda", "x_url": "https://twitter.com/raunakdoesdev", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/942feecb35daadd157058cc33cb2803b8a8950dd.jpg" }, { "user_id": 850889, "full_name": "Adit Abraham", "title": "Founder/COO", "founder_bio": "Co-founder/CEO at Reducto. Before Reducto I studied CS at MIT, made Ads/Search things as a PM for Google, did ML research at MIT's Media Lab, and spent an unreasonable amount of time playing Pokemon Showdown.", "is_active": true, "linkedin_url": "https://linkedin.com/in/aditabraham", "x_url": "https://twitter.com/AbrahamAdit", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/53a289d9d77cc6b4edf978ab557af36e1442ed30.jpg" } ], "jobs": [ { "id": 69144, "title": "Software Engineer", "url": "https://www.ycombinator.com/companies/reducto/jobs/2BVFiJu-software-engineer", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$140K - $240K", "equity_range": "0.10% - 1.00%", "experience": "3+ years", "visa": "Will sponsor", "skills": [ "Python", "TypeScript", "Torch/PyTorch", "Computer Vision" ] }, { "id": 70899, "title": "Machine Learning Engineer", "url": "https://www.ycombinator.com/companies/reducto/jobs/3VS78nJ-machine-learning-engineer", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Machine learning", "salary_range": "$150K - $240K", "equity_range": "0.10% - 1.00%", "experience": "3+ years", "visa": "Will sponsor", "skills": [ "Python", "Torch/PyTorch", "Computer Vision", "Data Analytics" ] }, { "id": 71707, "title": "LLM/ML Engineer (Inference)", "url": "https://www.ycombinator.com/companies/reducto/jobs/roVp40O-llm-ml-engineer-inference", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Machine learning", "salary_range": "$200K - $300K", "equity_range": "0.10% - 1.00%", "experience": "3+ years", "visa": "Will sponsor", "skills": [] } ], "news": [ { "title": "Reducto: AI document parsing & extraction software", "url": "https://reducto.ai/blog/reducto-series-b-funding", "date": "Oct 14, 2025" }, { "title": "Reducto: Making Human Data LLM-Ready With State-of-the-Art Accuracy", "url": "https://www.youtube.com/watch?v=QBC_cViA7j8", "date": "May 01, 2025" }, { "title": "Exclusive: Reducto, AI document parsing startup, raises $24.5 million Series A led by Benchmark | Fortune", "url": "https://fortune.com/2025/04/25/exclusive-reducto-ai-document-parsing-startup-raises-24-5-million-series-a-led-by-benchmark/", "date": "Apr 25, 2025" }, { "title": "Reducto Document Ingestion API", "url": "https://reducto.ai/blog/reducto-series-a-funding", "date": "Apr 25, 2025" }, { "title": "Reducto Document Ingestion API", "url": "https://reducto.ai/blog/seed-round", "date": "Oct 02, 2024" } ], "launches": [ { "id": 82871, "title": "Reducto - Structured data from any unstructured document", "tagline": "Reducto’s new API makes it easy to turn complex documents and spreadsheets into structured data that fits your schema, with zero fine tuning. ", "body": "![uploaded image](/media/?type=post&id=82871&key=user_uploads/850889/1ce99361-5539-4e75-809d-d432d24470a2)\n\n[Reducto](https://reducto.ai) is a team from MIT building vision models to turn complex documents into LLM-ready inputs. Every part of our core API was made to offer the most accurate extraction possible, and we now power document ingestion for leading AI teams ranging from startups to Fortune 10 enterprises. \\\n\\\nWe’re excited to release a new **Structured Extraction API**, which leverages LLMs along with our vision models to extract the data that you need with exceptional accuracy and flexibility. \n\n# **📃 The Problem**\n\n**Nearly 80% of enterprise data is in unstructured formats like PDFs and spreadsheets**\\\nPDFs are the status quo for enterprise knowledge in nearly every industry. They’re stored in a structure that’s simply impractical for use in digital workflows, which leads to [dozens of wasted hours every week](https://www.reducto.ai/blog/the-real-cost-of-manual-document-processing).\\\n\\\n**Custom extraction models require hundreds of hours to build and maintain**\n\nCompanies often use traditional solutions to build a custom extraction pipeline for _every_ document layout they’re working with. That requires dozens of hours for labeling and training the model, and constant maintenance when models break from changing layouts.\\\n\\\n**LLMs offer better flexibility at the cost of reliability**\n\nOff the shelf LLMs _can_ offer exceptional reasoning but they struggle with hallucinations and extraction inaccuracies, making them unreliable for production use cases. \n\n# \n\n# **✅ Our Solution**\n\nWe’ve built vision models to read documents the way a human would, and a language model that we trained for schema-based extraction. Our new model can handle significantly larger documents, and is trained to _cite_ the source for each piece of information, allowing you to audit and verify outputs easily.\n\n![uploaded image](/media/?type=post&id=82871&key=user_uploads/850889/b090586c-1014-4293-a5f3-266950b46338)\n\nThis means you can:\n\n* Extract important fields with simple, natural language instructions\n* Verify any information using our source citations\n* Build powerful automations by integrating Reducto’s API with your custom workflow\n\n# **🚀 Automate your unstructured data processing**\n\nOur API is live in production with leading teams across insurance, healthcare, and finance, and we would love to work with you to improve your unstructured data ingestion.\\\n\\\nThis new API leverages all of the work that we’ve put into improving our document understanding models to make structured extraction work across all layouts with best in class accuracy. \\\n\\\nYou can [sign up](https://reducto.ai/pricing) to get started right away, or reach out to us at [founders@reducto.ai](mailto:founders@reducto.ai) for a demo!", "url": "https://www.ycombinator.com/launches/LYd-reducto-structured-data-from-any-unstructured-document", "votes": 28, "created_at": "2024-08-09T14:58:47.814Z" }, { "id": 78035, "title": "🔮 Reducto - Unlocking data behind complex documents", "tagline": "Our API allows you to convert complex, unstructured documents into structured outputs that are perfect for RAG, process automation, and more.", "body": "Hey everyone - [Raunak](https://www.raunakdoes.dev/) and [Adit](https://www.linkedin.com/in/aditabraham/) here 👋🏼\\\n\\\nWe met four years ago while studying computer science at MIT, and we’ve spent the past few years building ML products at companies like Google and NVIDIA. We started building [Reducto](https://reducto.ai) after struggling with document ingestion while consulting for teams integrating LLMs into their applications.\n\n# \n\n# **📃 The Problem**\n\n**Nearly 80% of enterprise data is in unstructured formats like PDFs**\n\nPDFs are the status quo for enterprise knowledge in nearly every industry. Insurance claims, financial statements, invoices, and health records are all stored in a structure that’s simply impractical for use in digital workflows. This isn’t an inconvenience—it’s a critical bottleneck that leads to [dozens of wasted hours every week](https://www.reducto.ai/blog/the-real-cost-of-manual-document-processing).\n\n**Traditional approaches fail at reliably extracting information in complex PDFs**\n\nOCR and even more sophisticated ML approaches work for simple text documents but are unreliable for anything more complex. Text from different columns are jumbled together, figures are ignored, and tables are a nightmare to get right. Overcoming this usually requires a large engineering effort dedicated to building specialized pipelines for every document type you work with. \n\n# **🚀 Our Solution**\n\nReducto breaks document layouts into subsections and then contextually parses each depending on the type of content.\n\n![](https://framerusercontent.com/images/OGE17IqyrDhYFCvrxMFNNtwpLs.png?scale-down-to=2048)\n\nThis is made possible by a combination of vision models, LLMs, and a suite of heuristics we built over time. Put simply, we can help you:\n\n* Accurately extract text and tables even with nonstandard layouts\n* Automatically convert graphs to tabular data and summarize images in documents\n* Extract important fields from complex forms with simple, natural language instructions\n* Build powerful retrieval pipelines using Reducto’s document metadata\n* Intelligently chunk information using the document’s layout data\n\nYou can try a demo [here](https://app.reducto.ai/share/5ecd4726-f482-498d-a1c2-b76e12f595a8). \n\n# **🙏🏼 Our Ask**\n\nWe’re looking to onboard more teams across insurance, healthcare, and finance and would really appreciate your help. If you or someone you know is struggling with high-volume document workflows (5000+ pages), please reach out to us at [founders@reducto.ai](mailto:founders@reducto.ai).", "url": "https://www.ycombinator.com/launches/KId-reducto-unlocking-data-behind-complex-documents", "votes": 41, "created_at": "2024-01-31T20:01:45.526Z" } ] }, { "id": 29342, "name": "InQuery", "slug": "inquery-2", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/6af70add968020435b7e6619f1daf7399205f64b.png", "website": "https://www.inquery.ai/", "all_locations": "New York City, NY, USA", "long_description": "InQuery is a fully-automated medical record review platform that indexes, labels, and summarizes patient medical records so that physicians and attorneys can understand patient journeys at a glance. \r\n\r\nOur proprietary technology reasons about each record to surface key insights that could make or break your medical legal case.", "one_liner": "Intelligent Medical Record Reviews", "team_size": 4, "industry": "Healthcare", "subindustry": "Healthcare -> Healthcare IT", "launched_at": 1704737122, "tags": [ "Documents", "Insurance", "AI", "AI Assistant" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2024", "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/inquery-2", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2024/inquery-2.json", "year_founded": 2023, "city": "New York City", "country": "US", "linkedin_url": "https://www.linkedin.com/company/inquery-data/?viewAsMember=true", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/6af70add968020435b7e6619f1daf7399205f64b.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Pete Koomen", "url": "https://www.ycombinator.com/people/pete-koomen" }, "founders": [ { "user_id": 414961, "full_name": "Erick Enriquez", "title": "Founder", "founder_bio": "CEO @ InQuery. Previously @ Stanford CS & DoorDash Data Infra.", "is_active": true, "linkedin_url": "https://linkedin.com/in/erick-enriquez", "x_url": "https://twitter.com/generick_ez", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/dee73e7c6f7b92b5e3fbeec61374601575fd159f.jpg" }, { "user_id": 1660601, "full_name": "Khalil Miri", "title": "Founder/CPO", "founder_bio": "Cofounder and CTO @InQuery. Background: Quant Trader at DRW and Citadel, Stanford CS grad, former Math Olympiad medalist", "is_active": true, "linkedin_url": "https://linkedin.com/in/khalil-miri?challengeId=AQHWHo0KU27KHgAAAYtAT5ChJwAxKyHDUTBZ_lM6cVviquDDjRyqB9xJxhlm0ATSXVRSaWgd29Ey0nUP_7m83XuDx3BvDkY4Jw&submissionId=2e9e84f8-0d0e-8f17-0b3e-f45c8158d27c&challengeSource=AgHqCrfI9npr2QAAAYtAT8XC638RucWqcGTLCZ7eovbJ-AYf7th1Rp30ur3XDSY&challegeType=AgHlTtcDd_2XCAAAAYtAT8XEcBz-r74sxX0ukDxvpdpO-N0f--z8dVw&memberId=AgFc2--6eoHdUwAAAYtAT8XHLvuvaBS3QEThr7PWG6--ydU&recognizeDevice=AgExDFN6a2fGlAAAAYtAT8XJR2ljtKp39iqIOlBAMno1-CUSmezV", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/2bd7907022abc4fbccd7fd0589b63c617fdc2aed.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 78918, "title": "InQuery - AI-powered Claims Management System", "tagline": "InQuery eliminates tedious back office claims admin work like data capture, document management, and claims research so that adjusters can focus on providing world-class service to claimants.", "body": "\\*\\*TLDR: InQuery helps carriers, state funds, self-insured employers and TPAs automate tedious parts of the claims processing workflow so that claims can get closed faster and litigated less.\\*\\*\\\n\\\nHey everyone, we’re [Erick](https://linkedin.com/in/erick-enriquez) and [Khalil](https://linkedin.com/in/khalil-miri?challengeId=AQHWHo0KU27KHgAAAYtAT5ChJwAxKyHDUTBZ_lM6cVviquDDjRyqB9xJxhlm0ATSXVRSaWgd29Ey0nUP_7m83XuDx3BvDkY4Jw&submissionId=2e9e84f8-0d0e-8f17-0b3e-f45c8158d27c&challengeSource=AgHqCrfI9npr2QAAAYtAT8XC638RucWqcGTLCZ7eovbJ-AYf7th1Rp30ur3XDSY&challegeType=AgHlTtcDd_2XCAAAAYtAT8XEcBz-r74sxX0ukDxvpdpO-N0f--z8dVw&memberId=AgFc2--6eoHdUwAAAYtAT8XHLvuvaBS3QEThr7PWG6--ydU&recognizeDevice=AgExDFN6a2fGlAAAAYtAT8XJR2ljtKp39iqIOlBAMno1-CUSmezV) and we’re building [InQuery](https://www.inquery.ai/). \\\n\\\n**🔍 Problem**\\\nThe insurance industry is facing a labor shortage that is creating a negative spiral for staffing. As carriers struggle to hire, existing talent is getting overloaded and under-trained, causing severe retention issues at most large carriers. This talent squeeze means that per-case performance quality drops, leading claimants to experience confusion and frustration, which inevitably drives litigation rates upwards as they seek representation and support. As a result, average claim costs are rising, squeezing carriers expense ratios at the same time as inflation causes ballooning medical costs. \n\nStill, claims adjusters like my sister spend most of their day transcribing telephone calls, navigating large sets of semi-structured policies, and mapping data from large and complicated medical documents to relatively structured schemas in their existing CMS.\n\n**🦾 Our Solution**\n\nAt InQuery, our mission is to develop AI agents tailored for the insurance industry, beginning with with claims handling. These agents will enable claims handlers to concentrate on high-impact settlement strategies, effective negotiations, and casualty remediation processes. The result? Reduced litigation rates, improved loss ratios, and enhanced satisfaction for both employees and claimants.\n\nBut our vision doesn’t stop there. As we perfect our AI solutions for claims handling, we’re poised to expand into other insurance-specific workflows, bringing efficiency and innovation to every corner of the industry. Our AI agents will seamlessly integrate with your current team, taking over repetitive tasks and collaborating with human staff where their expertise is needed most. Join us in redefining insurance processes and empowering your workforce to achieve more.\\\n\\\n\\*\\*👋 About us:\\*\\*\\\nBefore starting InQuery, we’ve been best friends since living in the same dorm during our freshman year studying Computer Science at Stanford.\n\n![](https://lh7-us.googleusercontent.com/krqSs7LIAO18m20ptblmaz74UhYwXwAMIHwY22ZLG4orANZ2GRjnjk9U_mmiBdOVwR2KlSvdH0StCYadIwufhj2T3V8cv7o5q3BHT04hsA_F_aMm-uN6mHA_-OdQJG8axjRNS3tZVuqGZg7vAhMJkcE)\n\n\\\n**Our Ask**\\\nIf you or anyone you know has experienced the pain of handling claim caseloads of upwards 100+ active cases, we’d love to chat. We’re looking for intros to carriers, self-insured employers, and TPAs. \\\n\\\nEven if our product isn’t the right fit for you yet, we’d love to learn about what’s working well and what’s broken at your organization and share what we’ve learned from talking to dozens of carriers ourselves.", "url": "https://www.ycombinator.com/launches/KWs-inquery-ai-powered-claims-management-system", "votes": 38, "created_at": "2024-02-29T21:17:22.340Z" } ] }, { "id": 29449, "name": "Fileforge", "slug": "fileforge", "former_names": [ "CodeMuse", "Onedoc" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/6a97af94f2a8e762d28add9f85502c5647837362.png", "website": "https://www.fileforge.com/", "all_locations": "San Francisco, CA, USA", "long_description": "Fileforge is an API for PDF document workflows. \r\n\r\nWith Fileforge, you can generate, manipulate, host, share, sign and track your documents - all in on place. Our open-source library helps developers build complex documents that integrate with our API and external services to build document-centric workflows.", "one_liner": "API For PDF Document Workflows", "team_size": 3, "industry": "B2B", "subindustry": "B2B -> Engineering, Product and Design", "launched_at": 1702309637, "tags": [ "Documents", "Developer Tools", "B2B", "API" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2024", "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/fileforge", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2024/fileforge.json", "year_founded": 2023, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/fileforge/", "x_url": "https://twitter.com/fileforgelabs", "fb_url": null, "cb_url": null, "github_url": "https://github.com/OnedocLabs/", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/6a97af94f2a8e762d28add9f85502c5647837362.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/9641f78cded0227586970938c3e545bc4e117edb.png" ], "primary_partner": { "name": "Pete Koomen", "url": "https://www.ycombinator.com/people/pete-koomen" }, "founders": [ { "user_id": 942122, "full_name": "Pierre Dorge", "title": "Founder", "founder_bio": "Formerly at the helm of Lleed & Partners, a digital consulting firm specialised in commodities trading, I am now building Fileforge. Coding since high school and with a solid academical background in computer science from ETH Zürich and EPFL, I love building and solving complexe challenges. Besides coding and building businesses, I enjoy training Muay Thai and playing the classical guitar in my free time.", "is_active": false, "linkedin_url": "https://linkedin.com/in/pierre-dorge-3372bb16a", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/2269cc7677a5200c9ef8448cf7e283ba71fc6f0b.jpg" }, { "user_id": 1617716, "full_name": "Titouan Launay", "title": "Founder", "founder_bio": "Titouan Launay, formerly at the helm of a 6-figures software consulting company, is now channeling his expertise into Fileforge, his latest venture. Coding since high school and with a solid background in civil engineering and architecture from INSA Lyon, he's adept at tackling complex challenges with a creative twist. He is passionate about photography, and previously built a successful software consulting company.", "is_active": false, "linkedin_url": "https://www.linkedin.com/in/titouan-launay/?locale=en_US", "x_url": "https://twitter.com/titouan325", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/4ce2ac3add615e78c8101c081b5b0e3f6686a1a3.jpg" }, { "user_id": 959469, "full_name": "Auguste Lefevre", "title": "Founder", "founder_bio": "Co-founder at Fileforge. Background in Computer Science from ETH Zurich and Quantitative Finance as PhD (dropout) from the National University of Singapore. Interested in tech, finance and history.", "is_active": false, "linkedin_url": "https://www.linkedin.com/in/augustelefevre/", "x_url": "https://twitter.com/thisisnotfranck", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/63917600d1f074984fbf12a71a29fad08f4e27c4.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 78258, "title": "Onedoc — Making it easy for developers to generate beautiful PDFs", "tagline": "Stop spending hours making ugly documents, and start creating a dynamic experience now!", "body": "**_tl;dr_** Onedoc makes it easy for developers to generate beautiful PDFs. It is a comprehensive solution with:\n\n1. An [open-source library](https://github.com/OnedocLabs/react-print) to design your documents\n2. A simple [API](https://docs.onedoclabs.com/introduction) to generate your documents\n3. A [cloud platform](https://app.onedoclabs.com/login) to host and track your documents\n\n![uploaded image](/media/?type=post&id=78258&key=user_uploads/959469/55ac7687-e4a4-4456-97a2-ff6348953e3b)\n\n> Using Onedoc to quickly generate dynamic PDFs\n\n👋 Hi! We are [Auguste](https://www.linkedin.com/in/augustelefevre/), [Pierre,](https://linkedin.com/in/pierre-dorge-3372bb16a) and [Titouan](https://www.linkedin.com/in/titouan-launay/?locale=en_US) and we’re building [Onedoc](https://www.onedoclabs.com/).\n\n## Why do documents feel so outdated?\n\nBillions of PDFs are generated daily: invoices, contracts, receipts, tickets,… yet there are no toolkits to allow companies to easily build them. Developers need to get their hands dirty to produce basic documents - let alone beautiful ones. This makes PDFs hard to dynamize and maintain, leading to poor brand experience and flawed analytics.\n\n## What does Onedoc bring to the table?\n\nOnedoc bridges the gap between developers and documents. We make modern web technologies work for PDF generation: React, Tailwind, … In turn, developers can make highly dynamic documents and iterate quickly. **What used to take hours now takes seconds with our API.**\n\nTo make it even faster, we maintain an [open-source library](https://github.com/onedoclabs/react-print) of beautiful components and we offer a hosting and tracking service to better understand your documents.\n\n## What brought us here\n\nWe previously worked with giant firms, where documents were central to most workflows. They would get passed around, get into client’s hands, and everyone would complain about their layout and lack of proper information. While at a large mining company, clients would want to see shipping information and product details on their invoices. However, the development team wouldn’t be able to update these documents because the task was too complex and expensive.\n\n## Interested in generating beautiful documents today?\n\n* **Try it now,** and give us feedback!\n* **Social:** Join us on [Discord](https://discord.com/invite/uRJE6e2rgr) or send us a tweet at [@Onedoclabs](https://twitter.com/OnedocLabs) and we will get you set up in no time.\n* **Open-source:** Support our open-source library on [Github](https://github.com/OnedocLabs/react-print) by contributing and starring the repo.\n* **YC Deal:** Enjoy our YC Deal and get 1,000 monthly documents on us (x10), we also redesign your existing documents with our UI experts - get in touch at [yc@onedoclabs.com](mailto:yc@onedoclabs.com).", "url": "https://www.ycombinator.com/launches/KME-onedoc-making-it-easy-for-developers-to-generate-beautiful-pdfs", "votes": 114, "created_at": "2024-02-07T22:14:22.044Z" } ] }, { "id": 30043, "name": "Vespper", "slug": "vespper", "former_names": [ "Merlinn" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/8071a4dd821b17c48fe53b21be58c8dd37534c31.png", "website": "https://vespper.com/?utm_source=ycombinator.com", "all_locations": "San Francisco, CA, USA; Remote", "long_description": "The best DOCX MCP for agents. \r\nread and edit docx without having you agents deal with XML. Save on cost, enjoy improved performance.\r\nPerfect for regulatory, compliance and legal agent builders dealing with documentation", "one_liner": "The best DOCX MCP for agents to edit microsoft word documents", "team_size": 2, "industry": "B2B", "subindustry": "B2B -> Productivity", "launched_at": 1729555399, "tags": [ "Documents", "Developer Tools", "B2B", "API", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Fall 2024", "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/vespper", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2024/vespper.json", "year_founded": 2024, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/vespper", "x_url": "https://twitter.com/vespperdotcom", "fb_url": null, "cb_url": "https://www.crunchbase.com/organization/vespper", "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/8071a4dd821b17c48fe53b21be58c8dd37534c31.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/d70e6bd84d40fd4fc525361d5449e074570b17da.png" ], "primary_partner": { "name": "Garry Tan", "url": "https://www.ycombinator.com/people/garry-tan" }, "founders": [ { "user_id": 316431, "full_name": "Topaz Turkenitz", "title": "Founder/CEO", "founder_bio": "Background in computer science and design. At Snyk, led the company’s top growth experiment and spearheaded the project that secured a Fortune 500 bank. Previously, worked at 99designs (a Vista-owned global e-commerce marketplace), driving end-to-end product initiatives.", "is_active": true, "linkedin_url": "https://linkedin.com/in/topaz-t", "x_url": "https://www.twitter.com/topaz_tee", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/793dcbb4e83aab40f95df04118dd19ce49f43a88.jpg" }, { "user_id": 978949, "full_name": "Dudu Lasry", "title": "Founder/CTO", "founder_bio": "Co-founder & CTO at Vespper\nI’m a passionate software engineer with over seven years of experience, focused on building solutions that make a real difference. Before starting my own venture, I worked at Google, Viz.ai, and SafeBreach, where I took on key projects, collaborated closely with teams, and supported initiatives that mattered to both developers and the business. \n\nIn my spare time, I like playing the guitar, working on side projects and travel the world (most recently Japan 🇯🇵)", "is_active": true, "linkedin_url": "https://linkedin.com/in/dudu-lasry-05022879", "x_url": "https://twitter.com/DavidLasry17164", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/e321d837b1fc79b61321540437f26a50938fbde3.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 113233, "title": "Vespper DOCX MCP", "tagline": "The first SOTA level model to allow agents to edit DOCX documents", "body": "Today we're launching **Vespper DOCX MCP**.\\\n\\\nThe first model fine-tuned specifically for editing Word documents, shipped as an MCP. \\\n\\\nOn our internal benchmark, it lets agents run 3x faster, 2x cheaper, and more accurately than the closest alternative.\\\n\\\nThere are 1.2–1.5B Knowledge workers globally, with Word as the default tool for the majority of them. 150–250M people open/edit a Word doc on a given weekday, and soon there will be an agent alongside each one.\\\n\\\nTry it now: [https://app.vespper.com](https://app.vespper.com/?utm_source=yc_launch)\\\n\\\nRead our technical blog post here: [https://www.vespper.com/blog/launching-vespper-docx-mcp](https://www.vespper.com/blog/launching-vespper-docx-mcp/?utm_source=yc_launch)\\\n\\\n", "url": "https://www.ycombinator.com/launches/TSL-vespper-docx-mcp", "votes": 5, "created_at": "2026-09-01T17:40:35.005Z" }, { "id": 85173, "title": "Vespper: 24/7 AI on-call engineer", "tagline": "An agent that is triggered by alerts and surfaces relevant information that helps you troubleshoot", "body": "⭐ Star us on [Github](https://github.com/vespperhq/vespper) & follow us on [Twitter](https://x.com/vespperdotcom) & [LinkedIn](https://www.linkedin.com/company/vespper)!\n\n**📜 TL;DR**\n\n[Vespper](https://www.vespper.com?utm_source=yc&utm_campaign=yclaunch&utm_id=1) is an on-call engineer that helps engineers troubleshoot alerts by surfacing the right data at the right time.\\\n\\\n\n\n**🎯 What is Vespper?**\n\nVespper is an on-call engineer running 24/7 to troubleshoot your alerts and surface the right data to help you resolve your issue so incidents never falls through the cracks.\n\nWhether your company is going through growing pains, needs a better handle at dealing with SEV0 or has too many low priority unsolved issues - Vespper will adapt to your needs to democratize expert knowledge across your organization.\n\n**❌ The problem**\n\nMost companies drown in alerts and there are too many alerts to handle.\n\n* **Engineers** hate waking up at 3am to go investigate an issue, one person is familiar with one specific thing and they aren’t around, there is a constant need to check for false positives.\n* **Product managers** are left playing hot potato when trying to figure out the impact of incidents and bugs but engineers are too busy triaging the issue itself.\n* **Customer support** are left asking “who owns” which service when triaging tickets.\n* **Engineering leaders** need to constantly ensure engineers are escalating quickly, they rely on service specialists to debug an issue other engineers aren’t familiar with but they aren’t always around during critical times.\n\n**💰 The solution**\n\nVespper is a multi-agent system that triages alerts, troubleshoots them and sends findings in seconds to Slack. It’s connected to internal tools (observability, incident management, knowledge management, codebases and more) and can surface problems & identify patterns in the oceans of data you have.\n\nAt the moment, we support popular tools such as:\n\n* **Observability** - DataDog, Grafana, Prometheus, Jaeger, SigNoz, Coralogix\n* **Incident management** - PagerDuty, Opsgenie\n* **Codebases** - Github\n* **Knowledge management** - Notion, Confluence, Jira\n* **Communication** -  Slack, Teams (TBD)\n\n**⚒️ How does it work?**\n\nVespper is a system that’s comprised of multi-agents and AIOps models. Behind the scenes, we run & coordinate multiple agents and tools that help identify suspicious patterns from your environment.\n\nUsing Vespper is easy.\n\n1. Signup & create an organisation.\n2. Connect the tools you work with when triaging/troubleshooting. This means observability, knowledge, incident management and communication tools.\n\nOnce the integrations are connected, we automatically trigger advanced data ingestion pipelines that starts scraping data from your environment. This is used to train the bot. You can see the status of the ingestion & training in our web UI.\n\nOnce the system is ready, it will start triaging alerts for you, post an hypothesis on Slack and show you all the automatic checks it made!\n\n**👨‍👨‍👦 About the team**\n\n![uploaded image](/media/?type=post&id=85173&key=user_uploads/316431/58991bfd-e2eb-49f3-a915-31300d54e458)\n\nHi, we are Topaz & Dudu 😊 We co-founded Vespper with the mission of making on-call stress-free. \\\n\\\n**Topaz (CEO)** - Spent years at Snyk (a hyper-growth unicorn) building and maintaining large distributed systems, leading PLG experiments and achieving 99.9% uptime for her teams services.\n\n**Dudu (CTO)** - has seven years of experience working at rapidly-growing technology startups, including Google, Viz.ai and SafeBreach. Dudu was a deep-learning algorithm engineer at Viz.ai. He contributed to cutting-edge projects that leverage computer vision for healthcare applications and also worked on large-scale distributed systems.\n\nWe both dealt with daily alerts and the daily monotony of triaging, tuning and maintaining services observability.  This time spent all came at the expense of working on more impactful customer focused work.\n\nWe believe that pairing the strength of AI to pattern-match, classic AIOps and heuristics from our own experience can unlock a new experience for developers.\n\n**🙏 Our ask**\n\n1. Book a meeting with us or email us at [**founders@vespper.com**](mailto:founders@vespper.com)**.**\n2. Star us on [GitHub](https://github.com/vespperhq/vespper) + follow along on [Twitter](https://x.com/vespperdotcom) & [LinkedIn](https://www.linkedin.com/company/101636115/).", "url": "https://www.ycombinator.com/launches/M9l-vespper-24-7-ai-on-call-engineer", "votes": 74, "created_at": "2024-10-31T03:20:04.045Z" } ] }, { "id": 30253, "name": "Finbar", "slug": "finbar", "former_names": [ "finbar" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/79a24ae2dbf8c5f1b06b70c124868d6c9383b535.png", "website": "https://finbar.com", "all_locations": "London, England, United Kingdom", "long_description": "Finbar is high-quality financial data and intelligence, used by several of the world's largest hedge funds. It automates financial modelling, research, and data analysis so multi-million-dollar decisions can be made 100x faster.\r\n\r\nFinbar maintains its own dataset of worldwide company filings, presentations, transcripts, and more, delivering clean data from these fundamental sources within minutes of release. This data is available via web, Excel add-in, API, and MCP. \r\n\r\nOur services include: company primers and prebuilt models; AI tools for analysts to create their own research; Excel tools to build financial models in minutes and update them in seconds; API streams to integrate our worldwide data into any programmatic or agentic system.", "one_liner": "Financial intelligence for every investor", "team_size": 4, "industry": "Fintech", "subindustry": "Fintech", "launched_at": 1736618357, "tags": [ "Documents", "Fintech", "Finance", "Workflow Automation" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2025", "status": "Active", "industries": [ "Fintech" ], "regions": [ "United Kingdom", "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": "Edward & Robin have been friends for more than half their lives: King’s Scholars at Eton, undergrads at Oxford, roommates in London. Edward founded **finbar** in 2023 as a solution to the time-consuming ‘grunt’ work of his former hedge fund role, and wrote most of the MVP up to first revenue. Robin joined in 2024 to take the lead on software dev as CTO." }, { "question": "What is the core problem you are solving? Why is this a big problem? What made you decide to work on it?", "answer": "A huge amount of the financial industry still runs on manual data input: thousands of workers whose job is simply to copy data from documents, build historical time series, and update models by hand. We leverage cutting-edge tech to finally automate this process, delivering more data, faster, and with much lower cost overhead." } ], "url": "https://www.ycombinator.com/companies/finbar", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2025/finbar.json", "year_founded": 2023, "city": "London", "country": "GB", "linkedin_url": "https://linkedin.com/company/fin-bar", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/79a24ae2dbf8c5f1b06b70c124868d6c9383b535.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": null, "founders": [ { "user_id": 2312013, "full_name": "Edward Huang", "title": "Founder/CEO", "founder_bio": "Founder and CEO at finbar. I wrote most of the MVP but now focus product and sales.\nPreviously I was a hedge fund analyst, and before that at Goldman Sachs. CFA charterholder. ", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/edward-huang-cfa-8807b4149/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/399ff5e879c7c3d086da13fd0c42dc562c78e7ae.jpg" }, { "user_id": 2375293, "full_name": "Robin Gan", "title": "Founder/CTO", "founder_bio": "Co-founder and CTO at finbar.com.\n\nPrevious to this I worked on a globally deployed cloud-native banking platform at Thought Machine.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/robin-gan-180060126", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/256b9b1bb75fa062939d144d53615bd17eec89c2.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 117886, "title": "Finbar: Financial intelligence for every investor", "tagline": "Financial data and AI tools trusted by the world's largest hedge funds", "body": "**Finbar is financial data and intelligence for the AI age.**\n\nWe’re super excited to announce our first public launch. Give us a go if you’re interested in: worldwide company fundamental data (incl. via API/MCP), AI tools for data analysis and investment research, prebuilt models, an Excel add-in for building + updating custom models, and more.\n\n**Get started at [https://finbar.com](https://finbar.com).** Read on if you're interested in how we're differentiated, and why some of the biggest investors in the world rely on us for their research processes.\n\n\n\n**---**\n\nHi! Ed and Robin here, here to announce the first general availability of Finbar. **Our mission is to give every investor (and agent) the best data and tools to conduct high-quality financial research.**\n\n_A brief recap of our journey_. We started with a single product - **reliably updating any financial model within 5 minutes of market release, without any mistakes**. Seems niche? It was - but it meant we could truly stand out to customers, solving a real burning problem that those who haven't worked in hedge funds just don't really 'get'. Over Q2 earnings season, we handled 150,000 model updates, meaning our clients (including several of the world's largest hedge funds) could go into every market-open with all of their models ready.\n\nDeveloping this product turned out to be a problem that seemed simple but actually was fiendishly difficult (not least for the data reasons discussed below). Doing so, however, has meant building some truly unique financial data and infrastructure, which we've since deployed in many other products - and now available to all investors.\n\nTwo key parts to what we do:\n\n**I. We're building the best fundamental financial dataset**\n\nUnderlying everything is our proprietary data. **We collect and ingest millions of documents across thousands of companies worldwide**: reports, presentations, transcripts. You might be surprised this is not a solved problem already. But almost all providers lack at least one of: a) breadth, b) quality, and/or c) speed. All three have been necessary to serve our clients, hence the need to build our own. And yes, we're including players like Factset, S&P and Bloomberg in this (we're often explicitly evaluated against them by our institutional clients).  \n\nSome snippets to illustrate the point:\n\n    1) _The most important fundamental datapoints are often not in 10Qs/10Ks, and rarely in a fully-structured format._ Think segment organic growth in presentation charts, conference call remarks on forward guidance, Pillar 3 banking disclosures, and a million other company-specific datapoints.\n\n    2) _>1/2 of our customers invest outside of the US._ International markets have much less structured data availability than the US, often not even a central repository, and it is where arguably there is more edge from strong fundamental data (these two facts may well be corollary)\n\n    3) _Financial data is exceptionally messy on the tail end_ - which is often also where the insights live. Understanding nuances around restatements, accounting regime changes, mergers and divestments, and all the other insane things companies do to produce messy data (sometimes on purpose) is bread-and-butter in our design. It causes many nights of hair-pulling but is the only way to actually produce great data that investors trust.\n\n**II. We're building the best financial toolkit for the AI age**\n\nUpon this data foundation is a whole range of Finbar products, built on the knowledge and experience of what professional investors actually need. This includes:\n\n* Machine-readable versions of millions of worldwide company documents\n* Fundamental time-series and datapoints on thousands of line items\n* Company primers and financial metadata\n* Prebuilt public company model XLSXs\n* A web platform for AI-automated financial data analysis, modelling, and report-writing\n* An Excel add-in to update any analyst model in seconds, and build any custom model in minutes\n* MCP and APIs to expose our fundamental data to programmatic and agentic users\n\nAnd we already have a long list of items in development with institutional partners, including macro data, supply chains, newsflow, privates and more.\n\n\\---\n\nThere’s still so much more we’ve got planned, but we’re genuinely so excited to start giving every investor the tools they need to make intelligent decisions in the AI age. So thanks for reading, and **head to [https://finbar.com](https://finbar.com) to try us out**. We’re looking forward to your thoughts!", "url": "https://www.ycombinator.com/launches/UfO-finbar-financial-intelligence-for-every-investor", "votes": 3, "created_at": "2026-10-01T14:29:23.427Z" }, { "id": 87042, "title": "finbar: your AI financial data analyst", "tagline": "Eliminate manual data entry. Update financial models in seconds.", "body": "Hi! We’re Ed and Robin, the founders of [finbar](https://finbar.com/).\n\n**Our summary**: **too many analysts across finance still rely on manually collecting and compiling data for their models - we’re here to completely automate that process.** \n\nSeveral multi-billion AUM hedge funds already use us for exactly that - but if you work with financial data in any capacity, we want to help!\n\n# finbar\n\n1. Automatically extracts and compiles data from thousands of companies globally, public and private\n2. Gives analysts tools to easily explore and reshape data for their own use cases\n3. Provides powerful automation to update models with new data in seconds\n\n**If you’ve ever spent hours copying data from a bunch of PDFs into a spreadsheet, you understand the core problem we solve!**\n\n![uploaded image](/media/?type=post&id=87042&key=user_uploads/2312013/e56da6c5-76fa-44d5-b30b-94aaedec850c)\n\n**Why can we do this better than others?** Financial data is inherently very messy – we’ve spent more than a year building a highly bespoke pipeline geared for financial data: numeric algorithms, text processing, OCR, LLMs, and more. This means in minutes we can provide complete series data from any set of documents: PDFs, Excels, websites, scans, etc.\n\nWe also understand the financial domain intimately well – our starting point has always been to build something that would have saved us hours per day as hedge fund analysts.\n\n![uploaded image](/media/?type=post&id=87042&key=user_uploads/2312013/d80aa23d-1e53-448f-8f0b-f6c2b7d47171)\n\n**Want to learn more?** [**Watch a full demo here!**](https://www.youtube.com/watch?v=DGh_3TDVb4M)\n\n**If you spend time working with financial data in any field, we believe we can save you valuable time.** We’re live with several multi-billion AUM hedge funds but are also very interested in speaking to anyone in banking, research, PE, VC, accounting, or corporate. We’d love to help you!\n\n**Head to **[**https://finbar.com/about**](https://finbar.com/about)** to request a trial – or reach out directly to **[**ehuang@finbar.com**](mailto:ehuang@finbar.com)**!**\n\n# About us\n\n**Ed** was a hedge fund analyst at Balyasny, and before that was at Goldman Sachs. He solo-founded finbar up to first revenue and now leads product and commerce. He is a CFA charterholder.\n\n**Robin** was a software engineer at Thought Machine, working on a globally deployed cloud-native banking platform. He now leads the finbar tech effort.\n\nWe’ve been close friends for 13 years, through school, then Oxford, then as roommates in London – and of course now as co-founders!\n\n![uploaded image](/media/?type=post&id=87042&key=user_uploads/2312013/e2bf30db-5b91-4870-99c5-7725c2baee31)\n\n Thanks for reading - happy modeling!", "url": "https://www.ycombinator.com/launches/Mdu-finbar-your-ai-financial-data-analyst", "votes": 33, "created_at": "2025-01-22T15:11:23.913Z" } ] }, { "id": 30357, "name": "Vantel", "slug": "vantel", "former_names": [ "Vantage AI" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/882e8b4377acdc7c7f1830babf0cd1f7b2e00058.png", "website": "https://vantel.com/", "all_locations": "Stockholm, Stockholm County, Sweden", "long_description": "AI OS for commercial insurance brokerages.", "one_liner": "AI Platform for Commercial Insurance Brokerages", "team_size": 5, "industry": "Fintech", "subindustry": "Fintech -> Insurance", "launched_at": 1738065592, "tags": [ "Documents", "Insurance", "CRM" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2025", "status": "Active", "industries": [ "Fintech", "Insurance" ], "regions": [ "Sweden", "Europe" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/vantel", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2025/vantel.json", "year_founded": 2024, "city": "Stockholm", "country": "SE", "linkedin_url": "https://linkedin.com/company/vantelinc/", "x_url": "https://x.com/Vantel_AI", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/882e8b4377acdc7c7f1830babf0cd1f7b2e00058.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": 1763011, "full_name": "Love Redin", "title": "Founder/CEO", "founder_bio": "CEO of Vantel. Previously data scientist at venture-backed startups and McKinsey/QuantumBlack, venture capital investor, software engineer at Sweden’s largest independent fund manager, and claims analyst at Scandinavia's largest insurance company. Arctic Army Ranger with background in engineering physics and pure mathematics from KTH Royal Institute of Technology in Stockholm, Sweden.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/love-redin/", "x_url": "https://x.com/redinvantel", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/2df1b9e30a05edd6b40d3f5389533dc30671fc0a.jpg" }, { "user_id": 677886, "full_name": "Ulme Wennberg", "title": "Founder/CTO", "founder_bio": "CTO at Vantel. Ex-Microsoft software engineer, who has founded several startups, and 1k+ research citations within NLP. Machine learning PhD dropout and first-principles thinker. Pursued parallel studies in Engineering Physics at Sweden's top Engineering School and Business School (KTH & SSE). Graduate studies at the University of Washington, including co-authoring one of the most cited information extraction papers of 2019. Also built conversational agents with Amazon Alexa.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/ulme-wennberg/", "x_url": "https://x.com/UlmeW", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/5dccd01e74364e1680bb575226a4c38adee00927.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 87228, "title": "Vantel - AI Software for Commercial Insurance Brokers", "tagline": "We help commercial insurance brokers automate 50% of their manual workflows, enabling them to focus on higher-value tasks like building new client relationships.", "body": "**TL;DR**\n\nCommercial insurance brokers spend 80% of their time on manual, repetitive tasks like policy analysis, manual data entry, documentation, billing and administration. Vantel builds AI software that automates these workflows, **currently helping brokers save 10+ hours per week**. Our first product lets brokers compare five 100-page insurance policies across 50 factors in 5 minutes instead of 5 hours.\n\n\n\n**The Problem: Commercial Insurance is Extremely Manual**\n\nAlmost every company needs insurance. Most companies do not have the competency in-house to know exactly what coverage they need. Because of this, they often hire a commercial insurance broker to advise them on insurance-related matters.\n\nAfter interviewing 100 commercial insurance professionals, we discovered some of the largest challenges in the industry: documents and workflows are unstandardized, there are multiple parties involved, and high-quality data is hard to collect. This results in **commercial insurance brokers spending the majority of their time on highly manual processes**:\n\n* Comparing policy documents\n* Validating insurance requirements in contracts versus policies\n* Regulatory documentation of advisory work\n* Compiling claims data from multiple sources into a common format\n* Translating complex material from carriers to a digestible format for the client\n\n**Our Solution: AI-Powered Workflow Automation for Brokers**\n\nVantel is building an AI platform that automates the most time-consuming tasks for commercial insurance brokers. We have started with:\n\n**1. Policy Comparison**\n\n* Compare 5 policies in 5 minutes (versus 5 hours if done manually)\n* Works with any carrier and policy type, instantly recognizing differences and key terms\n* Ranks policies based on coverage quality\n\n**2. Contract Validation**\n\n* Cross-check insurance requirements in contracts versus policies\n* Identifies gaps in current coverage, to avoid hidden risks\n* Enables more extensive client service – this is currently a high-touch activity\n\n**Why Now?**\n\nWith recent advances in LLMs, we are creating a product that was impossible to build 12 months ago. During our conversations with brokers, we have learned that **it is absolutely possible to build a revolutionary product in commercial insurance in just a few months**. The feedback we’re getting from brokers is giving us an incredible conviction that we’re on the right track. It is amazing to see their jaws drop when they realize countless hours of work can be automated with our software, freeing up time to serve more clients.\n\n**Team**\n\n![uploaded image](/media/?type=post&id=87228&key=user_uploads/1763011/7b86fe12-d8c8-4bbd-98e1-8e2551d3d8fd)\n\n* [Love Redin](https://www.linkedin.com/in/love-redin/) (CEO) - Previously data scientist at venture-backed startups and McKinsey/QuantumBlack, venture capital investor, software engineer at Sweden’s largest independent asset manager, and claims adjuster at Scandinavia's largest insurer prior to university. Arctic Army Ranger with background in engineering physics and pure mathematics from KTH Royal Institute of Technology in Stockholm, Sweden.\n* [Ulme Wennberg](https://www.linkedin.com/in/ulme-wennberg/) (CTO) - Founded several startups, ex-Microsoft software engineer, and 800+ research citations within NLP. Machine learning PhD dropout and first-principles thinker. Pursued parallel studies in Engineering Physics at KTH Royal Institute of Technology and Business and Economics at Stockholm School of Economics. Graduate studies at the University of Washington, including co-authoring one of the most impactful information extraction papers of 2019, and building conversational agents with Amazon Alexa.\n\n**Our Ask**\n\nIf you are (or know!) a commercial insurance broker looking to save 10+ hours per week on manual processes to spend more time with your clients, we would love to show you what we're building – please reach out to us at [founders@vantel.ai](mailto:founders@vantel.ai).", "url": "https://www.ycombinator.com/launches/Mgu-vantel-ai-software-for-commercial-insurance-brokers", "votes": 20, "created_at": "2025-01-28T18:40:49.899Z" } ] }, { "id": 30453, "name": "Parsewise", "slug": "parsewise", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/7f1c0c72a7f623d3b80ce3fbde35d6d196e31e5c.png", "website": "https://parsewise.ai", "all_locations": "London, England, United Kingdom", "long_description": "Parsewise provides multi-document processing and analysis that you can embed in your own product.\r\n\r\nOperations teams use our platform for oversight and control over their fleet of AI agents, and our MCP to make Claude work at scale with traceability.\r\nTech teams use our API to replace complex processing pipelines resolving values across documents.\r\n\r\nWe help customers assess complex risk at scale: manage casualty, specialty, KYC, and financial risks, so teams can act faster and defend their decisions with confidence.", "one_liner": "Multi-document processing for your risk teams, AI agents, pipelines", "team_size": 6, "industry": "B2B", "subindustry": "B2B", "launched_at": 1745096268, "tags": [ "Documents", "Finance", "API", "Insurance", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Spring 2025", "status": "Active", "industries": [ "B2B" ], "regions": [ "United Kingdom", "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/parsewise", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2025/parsewise.json", "year_founded": 2024, "city": "London", "country": "GB", "linkedin_url": "https://www.linkedin.com/company/parsewise", "x_url": "https://x.com/parsewise", "fb_url": null, "cb_url": "https://www.crunchbase.com/organization/parsewise", "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/7f1c0c72a7f623d3b80ce3fbde35d6d196e31e5c.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/ce5c8bcf5ae259dd9fc9ee95f9b1aad22f751e20.png", "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/008597abe694b4661688d888a0b0b50e2a0fb91a.png" ], "primary_partner": { "name": "Nicolas Dessaigne", "url": "https://www.ycombinator.com/people/nicolas-dessaigne" }, "founders": [ { "user_id": 1723779, "full_name": "Max Hofer", "title": "Founder/CEO", "founder_bio": "On a mission to end data monkey work. \nFormer Bain consultant with deep expertise in enterprise data workflows and a PhD in applied ML.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/mwhofer/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/9b31762b1842413440fc93f48220dba18019a750.jpg" }, { "user_id": 1910315, "full_name": "Greg Csegzi", "title": "Founder/CTO", "founder_bio": "Bridging reliability for AI driven extractions.\nEx-Palantir, experience in life sciences, insurance, manufacturing", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/gergely-csegzi-553b1aa5", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/549bea3c58990168865b1ba6d92a2e2869e8a673.jpg" } ], "jobs": [ { "id": 79985, "title": "Founding Engineer", "url": "https://www.ycombinator.com/companies/parsewise/jobs/rgv8l5D-founding-engineer", "location": "London, England, GB", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "£80K - £100K GBP", "equity_range": "0.50% - 1.00%", "experience": "3+ years", "visa": "US citizenship/visa not required", "skills": [] }, { "id": 95780, "title": "Forward Deployed Engineer", "url": "https://www.ycombinator.com/companies/parsewise/jobs/F27C7eN-forward-deployed-engineer", "location": "London, England, GB", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "£80K - £100K GBP", "equity_range": "0.50% - 1.00%", "experience": "3+ years", "visa": "US citizenship/visa not required", "skills": [ "Amazon Web Services (AWS)", "Python", "React", "Terraform", "AI Agents" ] } ], "news": [], "launches": [ { "id": 101959, "title": "Parsewise - API for agentic multi-document processing", "tagline": "Give your apps full value provenance for reasoning across documents!", "body": "Hello from Greg, Max and the Parsewise team! 👋\n\n# **TL;DR**\n\n[Parsewise](https://www.parsewise.ai/api?utm_source=launchyc&utm_medium=referral&utm_campaign=api_launch) turns multiple documents into a single structured response. Cross-document entity linking, contradiction detection, bounding boxes and UI toolkit to show it all included.\n\n[See it live!](https://www.youtube.com/watch?v=F1cSuZal03s)\n\n**The Problem**\n\nToday, you have to build and maintain complex document processing pipelines with changing business rules. You parse, classify, and rely on structured responses from LLMs or IDP tools (e.g., Reducto) to get individual extraction results that you piece together with other bits of information. There’s no reliable way to catch when information contradicts itself, which is risky. Finally, you build a custom verification UI for your operations team to deal with LLM mistakes.\n\n**The Solution**\n\nWe provide an API to abstract all that away into a single call. You provide multiple documents and the desired output to get back a response with resolved values, flagged contradictions, and full traceability across documents / pages that you can display in your own app.\n\n![uploaded image](/media/?type=post&id=101959&key=user_uploads/1910315/a837442e-b7af-4113-acfd-699fc5074dff)\n\n**Get Started**\n\n=======================================================\n\n  Sign up with free credits: [https://www.parsewise.ai/get-started](https://www.parsewise.ai/get-started?utm_source=launchyc&utm_medium=referral&utm_campaign=api_launch)\\\n  (use the [Agents.md](https://api.parsewise.ai/AGENTS.md) for a 1m integration)\n\n=======================================================\n\n**Story Time**\n\nWhy are we working on this, how we got to where we are, who we are working with, and where we are headed.\n\nGreg was at Palantir trying to make sense of various Japanese insurance documents and realizing that any processing pipeline built around it was highly custom, time-consuming, and brittle. Max was on the human operator side at Bain & Co, realizing that the technology was being held back due to a trust problem.\n\nWe realized that there is this powerful new capability for general reasoning (and thus processing). Models are getting extremely good at interpreting complex documents (shout-out to the Gemini model family) and perform better than most OCR-type solutions on the market.\n\nSo we set out to build the layer that comes on top:\\\n1\\. Provide mapping from user intent to a dynamic ontology\\\n2\\. Use the now-abundant intelligence to reason across documents to get to the right results\\\n3\\. Provide the provenance trace and validation UX that is required in many use cases\n\nWe are working with leading customers, both small and large, like UBS, Compre Group, Thinksurance, and more. They rely on Parsewise to streamline submission intake, claim portfolio risk assessment, etc., for both API based integrations and operational workflows.\n\nWith this launch, we are inviting developers to build more reliable and delightful workflows around their unstructured data processing. As we scale, we are excited to be helping with the end-to-end integration and deterministically filling forms, mapping to 3rd party APIs and web portals.\n\n\\\nSee more at [https://www.parsewise.ai/api](https://www.parsewise.ai/api?utm_source=launchyc&utm_medium=referral&utm_campaign=api_launch)\n\n![uploaded image](/media/?type=post&id=101959&key=user_uploads/1910315/97f9bee1-d6f5-42ee-ab1f-14f178b5b826)\n\n", "url": "https://www.ycombinator.com/launches/QWV-parsewise-api-for-agentic-multi-document-processing", "votes": 6, "created_at": "2026-05-26T14:44:21.064Z" }, { "id": 90400, "title": "Parsewise: Extract Validated Data from Complex Documents 🔬", "tagline": "Turn complex documents into validated information that business users can trust.", "body": "Hi everyone, we’re [Max](https://www.linkedin.com/in/mwhofer/) and [Greg](https://www.linkedin.com/in/gergely-csegzi/), and we’re building [Parsewise](https://parsewise.ai/) 👋\n\n👉🏻 Watch the video: https://youtu.be/ZFNH0M6Q3fw\n\n**❌ The Problem**\n\nBusiness experts waste hours each week on **manual, repetitive data tasks**. Extracting and validating information from complex documents is slow and error-prone. As a result, analytics, benchmarking, and reporting **processes are brittle and expensive**.\n\n**Current AI solutions** like ChatGPT are black boxes that generate **unreliable outputs**. Intelligent document processing tools require technical expertise, resulting in limited productivity gains.\n\n**The data monkey era is over!** We believe that business experts have struggled with complex documents long enough. We 10x their productivity while improving the quality of their outputs.\n\n**✅ The Parsewise Solution**\n\nParsewise extracts trusted information from complex documents, supported by these core features:\n\n* **End-to-end Traceability**: We trace every single output (text, number, date, etc.) to its exact source and highlight it with bounding boxes. _No more black boxes._\n* **Granular Human Control**: Business experts directly review and modify data extraction logic and consistency check strategies. _No more re-prompting._\n* **Exhaustive Processing**: Our agents exhaustively parse data, proactively flagging issues. _No more second-guessing._\n\n👉🏻 Parsewise is easy to use: https://youtu.be/69kEn5cYbvA\n\n**💬 What Our Users Are Saying**\n\n_“We have cut the analysis process from weeks to days, and most importantly, we have more confidence in the results than before.”_\n\n* Head of Family Office\n\n_“The processing took a while, but the results are perfect. We ran the same test with Snowflake’s Document AI, and it was frankly disappointing.”_\n\n* Lead Data Analyst at a Large Asset Manager\n\nWe have helped **cut week-long processes relying on parsing complex documents into hours**.\n\n**🤝 The Team**\n\nWe met studying CS at Oxford University in 2017.\n\n**Max (CEO)**: Ran his first business at 12, founded a data science consultancy next to his PhD, and conducted >20 PE due diligence projects at Bain. BSc, MSc, and PhD in CS and Econ.\n\n**Greg (CTO)**: Built the earliest production AI use cases at Palantir, with top project conversion, working in life sciences and insurance, having been deployed to 6 countries. Ask me about parsing manga-style insurance documents 😉\n\n**🚀 Call to Action: Free a Data Monkey**\n\nWe’re **live with pilot customers**, looking to **free more human data monkeys** of their lousy work!\n\nThe most relevant industries and teams are:\n\n* Industries: Investment management, reinsurance, life sciences\n* Teams: Risk & compliance, analytics, data & AI engineers\n\nContact us at [founders@parsewise.ai](mailto:founders@parsewise.ai) for more information and a demo.", "url": "https://www.ycombinator.com/launches/NW4-parsewise-extract-validated-data-from-complex-documents", "votes": 81, "created_at": "2025-05-14T17:25:55.072Z" } ] } ]