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We look for profitable e-commerce companies on Amazon or selling DTC on Shopify, purchase them from the founders giving them liquidity for their biggest asset, then turbocharge the growth with our proprietary data-driven technology platform and team. We scale e-commerce brands globally.", "one_liner": "Buy and grow profitable e-commerce companies selling on Amazon and DTC", "team_size": 35, "industry": "Fintech", "subindustry": "Fintech -> Asset Management", "launched_at": 1611511377, "tags": [ "E-commerce" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2021", "status": "Inactive", "industries": [ "Fintech", "Asset Management" ], "regions": [ "United States of America", "Canada", "America / Canada", "Remote", "Fully Remote" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": true, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/moonshot-brands", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2021/moonshot-brands.json", "year_founded": 2020, "city": "Miami", "country": "US", "linkedin_url": "https://www.linkedin.com/company/moonshotbrands/", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/28e8b66601bd99b04c0ccbfe410627db14923431.png", "app_video_url": null, "dday_video_url": "https://bookface-images.s3.us-west-2.amazonaws.com/video_event/52/1616629115407-h0bumiq5lwk-f090b59d74efd234823c35dd6878589b/f72388983984109841f8563364d25ed6.mp4?X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Credential=AKIAQC4NIECABPQ2AHNW%2F20261020%2Fus-west-2%2Fs3%2Faws4_request&X-Amz-Date=20261020T022655Z&X-Amz-Expires=3600&X-Amz-SignedHeaders=host&X-Amz-Signature=8543070576ccf90547aba785baef55c6e9c6164221a09ac89465e0efeca59e4e", "company_photos": [], "primary_partner": null, "founders": [ { "user_id": 589425, "full_name": "Craig Isakow", "title": "Founder", "founder_bio": "Entrepreneurial executive with big company experience including McKinsey and Airbnb \nScaled Shift.com (SFT) as first employee from idea to over $100M in funding over 3.5 years\nFounded Amazon/Shopify business featured on ABC’s Shark Tank\nSourced, analyzed, and acquired companies for OIG (Private Equity)\nFounded energy software company acquired in 2012\nServed in Obama Administration and worked on presidential campaigns.\nMichigan BSE Engineering and BA Economics, The Wharton School @ UPENN MBA\n", "is_active": false, "linkedin_url": "https://www.linkedin.com/in/craigisakow/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/b4695421216e068f04fe618b20a35cb2c6ca1f92.jpg" }, { "user_id": 597914, "full_name": "Allan (Amnon) Fisch", "title": "Founder", "founder_bio": "Allan’s 12+ years’ experience as CEO includes founding, building and scaling companies in E- commerce, online lending, AI and d2C with three exits including: HomeSav e-commerce-site acquired by American Capital/Rebellion Media, LeapPay, a fin-tech lender acquired by Funding Circle, Mavencare, healthcare, acquired by Bayada Health and Operant.AI. \n\nAdditionally, Allan’s work experience includes M&A & Finance & Advisory work at MaRS Discovery District. Allan is also a Wharton MBA & Lawyer.\n\n", "is_active": false, "linkedin_url": "https://www.linkedin.com/in/allanfisch/", "x_url": "https://twitter.com/aa_fisch", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/6754a6d2e1255512e2f04a48111b5adfc5a0da56.jpg" } ], "jobs": [], "news": [ { "title": "Moonshot Brands Acquires Female-Founded Startup QueryStax ", "url": "https://www.prweb.com/releases/moonshot_brands_acquires_female_founded_startup_querystax/prweb18665439.htm", "date": "Aug 22, 2022" }, { "title": "Moonshot Brands funding, acquisitions highlight change in e-commerce aggregator space – TechCrunch", "url": "https://techcrunch.com/2022/03/15/moonshot-brands-funding-acquisitions-e-commerce-aggregator/", "date": "Mar 15, 2022" } ], "launches": [] }, { "id": 23413, "name": "peopleCQ", "slug": "peoplecq", "former_names": [ "NowPay" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/5b75dadd6621c4361cef21bfa4970d3213aa6e4f.png", "website": "https://www.peopleCQ.com", "all_locations": "Cairo, Cairo Governorate, Egypt", "long_description": "NowPay, a FinTech startup founded by ex-employees of IBM, Microsoft, Orange and Amazon, is building a financial-wellness platform for employees in emerging markets. Saving, spending, budgeting and borrowing. Those are the 4 pillars of financial-wellness. NowPay aims to improve every aspect of those for employees by building products that tackle every vertical. \r\n\r\nNowPay enables employees to get their salaries in advance at any point in time during the month and also pay their bills instantly. NowPay is backed by 500 Startups, Beco Capital, Endure, Plug and Play, MSA Capital, 4dx, Foundation Ventures, EFG and Beltone and has raised 3.7m USD so far.", "one_liner": "Employer backed payroll advances for employees in Egypt", "team_size": 85, "industry": "Fintech", "subindustry": "Fintech -> Asset Management", "launched_at": 1615031685, "tags": [ "Recruiting", "HR Tech" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2021", "status": "Active", "industries": [ "Fintech", "Asset Management" ], "regions": [ "Egypt", "Middle East and North Africa", "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/peoplecq", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2021/peoplecq.json", "year_founded": 2019, "city": "Cairo", "country": "EG", "linkedin_url": "https://www.linkedin.com/company/nowpay/", "x_url": "", "fb_url": "https://www.facebook.com/NowPayDotCash", "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/5b75dadd6621c4361cef21bfa4970d3213aa6e4f.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": null, "founders": [ { "user_id": 11999, "full_name": "Mostafa Ashour", "title": "Founder", "founder_bio": "Ex-MSFT, Ex-IBM, Startups. Founder and CEO of NowPay.", "is_active": true, "linkedin_url": "http://www.linkedin.com/in/mostafaashour", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/d55c6dddbce91f9a34e53247f358da26b0b9b184.jpg" }, { "user_id": 412182, "full_name": "Ahmed Abuelenien", "title": "Founder", "founder_bio": "Find a want, fill a want!", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/sa6ry/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/c5b33661f3b679be02511796ce0c51e80aa28f76.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 80718, "title": "peopleCQ - Build your hiring infrastructure in minutes", "tagline": "Your AI recruitment partner", "body": "Hey there,\n\nI'm thrilled to introduce [peopleCQ](https://www.peoplecq.com/)! \\\n\\\nWe recognized how Gen-AI could help with every facet of the hiring process, so we built a solution to do just that. We also understand how painful it was for us to set up our original hiring infrastructure in the early days. Our product is designed to streamline and accelerate every aspect of recruitment.\n\nWatch our [YouTube Video](https://www.youtube.com/watch?v=xlZh6QjPRhY)\n\n### With peopleCQ, you can:\n\n* Launch your own hiring portal and post job openings in seconds.\n* Generate job descriptions from minimal input using AI and customize them to fit your needs.\n* Automatically analyze every aspect of incoming resumes with our co-pilot AI.\n* Get tailored interview questions based on the candidate’s resume and the job description. peopleCQ also highlights candidate strengths and weaknesses to help you probe deeper during interviews.\n* Compare candidates based on job-relevant attributes.\n* Use generative AI to search through received applications.\n* Tailor your recruitment process to meet your specific needs via a configurable pipeline\n\nWe believe peopleCQ can empower both companies and candidates by enhancing how you evaluate each candidate.\n\nWould love to hear your feedback. Thanks!\n\n![uploaded image](/media/?type=post&id=80718&key=user_uploads/11999/14cdbdb9-c482-44f0-b30e-56b94c91ce69)\n\n![uploaded image](/media/?type=post&id=80718&key=user_uploads/11999/65a2ce7e-432e-4e8d-bca1-85d8eb4e4523)\n\n![uploaded image](/media/?type=post&id=80718&key=user_uploads/11999/ae34b085-6c45-43f2-a7a6-c17af0481bf5)\n\n![uploaded image](/media/?type=post&id=80718&key=user_uploads/11999/41fa7d44-f5a9-440b-9133-e8c5f5adf6c9)\n\n![uploaded image](/media/?type=post&id=80718&key=user_uploads/11999/aab1262a-42b4-4b18-8033-85c58b56247e)\n\n![uploaded image](/media/?type=post&id=80718&key=user_uploads/11999/deea57f4-eaad-4562-aec4-0853c31e701b)\n\n![uploaded image](/media/?type=post&id=80718&key=user_uploads/11999/1c53e4f0-89b9-4375-8efe-aa4d9b271302)\n\n", "url": "https://www.ycombinator.com/launches/Kzu-peoplecq-build-your-hiring-infrastructure-in-minutes", "votes": 62, "created_at": "2024-05-08T22:56:51.695Z" } ] }, { "id": 23969, "name": "Baraka", "slug": "baraka", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/33d4b7cec8f7cb931194833e44baba367918cce0.png", "website": "https://www.getbaraka.com/", "all_locations": "Dubai, United Arab Emirates", "long_description": "💸Hey YC, we’re baraka (S21), an investment app built for people in the Middle East.\r\n\r\n📱 Our product\r\n\r\nThis is how we do it:\r\n•\t6,000+ stocks and ETFs – the freedom to choose the companies and industries that you want to back\r\n•\tThe power of financial literacy – educational content, digestible market news and in-depth stock analysis\r\n•\tFractional Shares – the ability to start investing with smaller sums of money\r\n•\tFair pricing – Transparent, low commission pricing model\r\n•\tEasy to use – intuitive user journey and interface \r\n\r\n\r\n🕒 What's Next?\r\n\r\nThe app is available in countries across MENA. 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He has more than 12 years of experience providing consulting services to financial institutions, working in more than 15 countries globally with McKinsey & Company and Oliver Wyman in Mexico and Miami. David is one of the co-founders of Weltio, where he has been working for the last 9 months, leading the areas of Administration, Legal, Partnerships, Human Capital and Accounting.", "is_active": false, "linkedin_url": "https://www.linkedin.com/in/david-abusaid/", "x_url": null, "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/90f139859c56aa48bcf349fda30ad0f4334f77eb.jpg" }, { "user_id": 1013260, "full_name": "George Marvin", "title": "Founder", "founder_bio": "George has over 4 years of product managment experience in fintech, working for Klarna and Wayfair in Berlin, previously he helped tradicional financial institutions embark on their digital transformations during his 8 years of consulting at McKinsey. He holds an MBA from London Business School, and BS in mechatronics engineering from Tec de Monterrey.", "is_active": false, "linkedin_url": "https://www.linkedin.com/in/gcookmarvin/", "x_url": "https://twitter.com/georgecook", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/abfbfd7505780a63349dea5a8d5cfab302220375.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 64327, "title": "Weltio - Wealth Management platform designed for Latin America", "tagline": "Providing access to global financial assets to grow wealth in Latin America ", "body": "Hey everyone! We are excited to launch [Weltio](https://weltio.com/) - a low cost platform designed for Latam users to open a brokerage account in US dollars for investment in US equities and 20+ cryptocurrencies. Weltio is built on an API first model that allows us to focus on the user experience by building features for the middleware and front end.\n\n**The Problem**\n\nThere is a historical challenge to create and transfer wealth through generations in Latin America.  There is a lack of access to world-class assets for the middle and middle-upper classes, costs are high, education is low, and customer experience is lagging behind advanced economies.  In the past 30 years, investing in the US markets has yielded a 5x benefit (adjusted for inflation), while in Mexico, as an example, yields negative returns.  \n\nThe chart below summarizes how big the overall disparity of investment outcomes between the investing in local assets vs. global assets:\n\n![uploaded image](/media/?type=post&id=64327&key=user_uploads/1007350/c3c8fb28-46bf-4251-abc6-1f397e15bd0a)\n\n**The Solution**\n\nWeltio allows users to open a brokerage account in the US in less than 5 minutes with a smooth onboarding process.  Once the account is open, users can fund their accounts with a domestic wire (in our initial geography Mexico, wires are made in MXN).  The user then receives a deposit in USD in their account in less than 30 minutes!  From their account they can invest in stocks and ETFs and buy/sell cryptocurrencies (20+ available) - we have zero cost for trading and have a very competitive commissions structure for crypto.  Additionally, we believe it is our duty to enable our users to make the best investment decisions by providing essential information and education modules for them to make the best decisions.\n\n![uploaded image](/media/?type=post&id=64327&key=user_uploads/1007350/4b06e230-dfb5-401f-88d0-0913e7c64b0b)\n\n**Background on the Idea and Founders**\n\nWeltio started in fall 2021, but the desire to give access to high-quality financial services to people in Latin America started years before that.  David has spent most of his professional career as a consultant for McKinsey and Oliver Wyman, advising financial institutions in more than 15 countries in 4 continents, where he has seen, first-hand, the vast difference in financial products and services offered.  George spent several years as a consultant for McKinsey, also advising financial institutions.  After deciding to leave for tech, he joined Wayfair and Klarna in Berlin, where he developed expertise in product.  David and George met more than 10 years ago at McKinsey, where they worked together on several projects and have remained good friends since then. \n\n**Asks for the Community**\n\nDownload the platform and tell us your thoughts! Although the platform is for now only covering Mexico, feedback on the platform helps us build a world-class product, ping us directly and we can provide a test-user account.\n\nIf you or someone you know offers API based investing, or yield as a service please reach out! We’d love to connect and explore a potential partnership going forward. \n\n**Reach Out**\n\nFeel free to reach out to us on social media: Instagram (@weltioapp), Facebook (/weltioapp), twitter (@weltioapp), LinkedIn (Weltio) or at: [founders@weltio.com](mailto:founders@weltio.com)", "url": "https://www.ycombinator.com/launches/GjX-weltio-wealth-management-platform-designed-for-latin-america", "votes": 32, "created_at": "2022-07-05T14:43:32.891Z" } ] }, { "id": 27137, "name": "PrimeVault", "slug": "primevault", "former_names": [ "Exchecker", "Excheqr" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/c063ef6501ec4e09baa9f49d2abc635ba2fa65b8.png", "website": "https://www.primevault.com", "all_locations": "Bengaluru, KA, India; Remote", "long_description": "PrimeVault is the all-in-one digital asset and stablecoin platform for enterprises and financial institutions. Built for modern finance, PrimeVault combines secure wallets, programmable treasury, compliance, and market access in one seamless solution. \r\n\r\nWith robust security and modular infrastructure, PrimeVault empowers institutions to issue, manage, and move digital assets at scale.\r\n\r\nDiscover how we makes digital asset finance simple at primevault.com.", "one_liner": "Infrastructure powering stablecoin and digital finance", "team_size": 11, "industry": "Fintech", "subindustry": "Fintech -> Asset Management", "launched_at": 1659127326, "tags": [ "Fintech", "Crypto / Web3", "Payments", "B2B", "Infrastructure" ], "tags_highlighted": [ "Crypto / Web3" ], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Summer 2022", "status": "Active", "industries": [ "Fintech", "Asset Management" ], "regions": [ "India", "South Asia", "Remote", "Fully Remote" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/primevault", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2022/primevault.json", "year_founded": 2022, "city": "Bengaluru", "country": "IN", "linkedin_url": "https://www.linkedin.com/company/primevault", "x_url": "https://twitter.com/primevaultHQ", "fb_url": null, "cb_url": "https://www.crunchbase.com/organization/excheqr", "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/c063ef6501ec4e09baa9f49d2abc635ba2fa65b8.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": 982839, "full_name": "Prashant Upadhyay", "title": "Founder", "founder_bio": "Co-founder @ PrimeVault - turnkey technology platform for enterprises and financial institutions to launch and scale their digital assets use case: stablecoin-powered payments and issuance, RWA tokenization, crypto trading / brokerage and more. Formerly, first PM @ Rippling (YC W17) building and scaling payroll, payments, compliance, risk and accounting products. Math, payments and travel nerd.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/prashant-upadhyay/", "x_url": "https://twitter.com/prashantupd", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/17bbdd3ebf93ec39702cd94d4953478a00f5aa0c.jpg" }, { "user_id": 587423, "full_name": "Vivek Kumar", "title": "Founder", "founder_bio": "Co-founder @ PrimeVault,\nFormer Tech lead at Rippling", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/vivek-kumar-578013119/", "x_url": "https://twitter.com/vivek_kumar_15", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/201e6eab4b6bcbcb45124b879c90179fe3e3a9b3.jpg" } ], "jobs": [ { "id": 65428, "title": "Full-time Backend Engineer", "url": "https://www.ycombinator.com/companies/primevault/jobs/zH4amoV-full-time-backend-engineer", "location": "IN / Remote (IN)", "type": "Full-time", "role": "Engineering", "role_type": "Backend", "salary_range": "$40K - $45K", "equity_range": "", "experience": "3+ years", "visa": "US citizenship/visa not required", "skills": [] }, { "id": 79609, "title": "Marketing & Growth Lead ", "url": "https://www.ycombinator.com/companies/primevault/jobs/3FXwQzR-marketing-growth-lead", "location": "Bengaluru, KA, IN / Bengaluru, Karnataka, IN / Dubai, Dubai, AE", "type": "Full-time", "role": "Marketing", "role_type": null, "salary_range": "$20K - $34K", "equity_range": "", "experience": "3+ years", "visa": "US citizenship/visa not required", "skills": [] } ], "news": [ { "title": "YC-backed PrimeVault Builds the Future of Institutional DeFi - Decrypt", "url": "https://decrypt.co/154919/yc-backed-primevault-builds-the-future-of-institutional-defi", "date": "Sep 04, 2023" }, { "title": "Enterprise insights from YC S22 Demo Day | Wing Venture Capital", "url": "https://www.wing.vc/content/enterprise-insights-from-yc-s22-demo-day", "date": "Sep 15, 2022" }, { "title": "Crypto and web3 stands out in the YC Summer 2022 batch", "url": "https://techcrunch.com/2022/09/07/y-combinator-crypto-investment-summer-2022/", "date": "Sep 07, 2022" } ], "launches": [] }, { "id": 27939, "name": "FactIQ", "slug": "factiq", "former_names": [ "Data Narratives", "Defog.ai" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/4eea8e74dd560d5b945e787263172d6a883e4e0a.png", "website": "https://factiq.com/", "all_locations": "Singapore, Singapore", "long_description": "FactIQ gives AI agents access to clean and trustworthy data for investment research.\r\n\r\nWe source, clean and standardize data from company financials, market prices, economic series and satellite imagery. We make it absurdly obvious for any AI agent to accurately query this data. We currently have 100M+ data series covering US and Asia, and are adding new data every day. ", "one_liner": "Investment research data for AI agents", "team_size": 3, "industry": "Fintech", "subindustry": "Fintech -> Asset Management", "launched_at": 1672890387, "tags": [ "Investing", "Data Visualization", "AI", "AI Assistant" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2023", "status": "Active", "industries": [ "Fintech", "Asset Management" ], "regions": [ "Singapore", "Southeast 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/factiq", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2023/factiq.json", "year_founded": 2023, "city": "Singapore", "country": "SG", "linkedin_url": "https://www.linkedin.com/company/fact-iq", "x_url": "https://x.com/tryfactiq", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/4eea8e74dd560d5b945e787263172d6a883e4e0a.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": 218578, "full_name": "Rishabh Srivastava", "title": "Founder", "founder_bio": "ML developer. Previously bootstrapped data APIs co to 100M+ monthly end users. I blog at rish.blog and am fairly active on Twitter (@rishdotblog)", "is_active": true, "linkedin_url": "https://linkedin.com/in/rishsriv", "x_url": "https://twitter.com/rishdotblog", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/da382fe67f5b879cd48e2b87d121703505e0db99.jpg" }, { "user_id": 1153841, "full_name": "Medha Basu", "title": "Founder", "founder_bio": "Co-Founder of Defog.ai. Former journalist/editor/content marketing person. Grew an enterprise content marketing firm from $0 to 7 figures in yearly revenue. Once interviewed a terrorist. ", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/medha-basu/", "x_url": "http://twitter.com/medha_basu", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/758a7af2b0a8db506432903862bd9d289acd87ea.jpg" } ], "jobs": [], "news": [ { "title": "How enterprises are using open source LLMs: 16 examples | VentureBeat", "url": "https://venturebeat.com/ai/how-enterprises-are-using-open-source-llms-16-examples/", "date": "Jan 29, 2024" }, { "title": "Tech in Asia - Connecting Asia's startup ecosystem", "url": "https://www.techinasia.com/exclusive-combinator-leads-22m-sgbased-ai-analytics-firm", "date": "Nov 22, 2023" } ], "launches": [ { "id": 68202, "title": "Defog.ai - ChatGPT for data, embedded in your app", "tagline": "Embed insights widgets in your apps and let users ask questions in natural language.", "body": "Hey there! We’re [Medha](https://www.linkedin.com/in/medha-basu/) and [Rishabh](http://twitter.com/rishdotblog) from [Defog.ai](http://defog.ai/).\n\n### **TL;DR**\n\nDefog embeds in your app and lets your users query data in seconds, using everyday language. It’s like ChatGPT for data - right within your app. [**Sign up**](http://defog.ai/) **to get early access.** Or give it a try at [defog.ai/ask](http://defog.ai/ask).\n\n### **😤 The problem**\n\nInsights features within apps take a long time to build and get right.\n\nThis is because SaaS founders and product managers spend most of their time on improving their core product. Insights features are rarely top-of-mind, even though they increase user stickiness.\n\nMost teams tell themselves that they will eventually get to it. But they rarely do. The result is a hastily-built dashboard that provides limited insights to users.\n\n### 🎉 **Our solution**\n\nWe make it super easy to let your users ask questions in natural language and instantly get data and insights on your app.\n\n![uploaded image](/media/?type=post&id=68202&key=user_uploads/1153841/bd2e56ef-b1f8-4d38-b02a-1c851549def9)\n\nDefog embeds an intuitive Q&A-style interface for analytics in your app, and lets users query data in seconds.\n\nSome examples of how companies can use Defog:\n\n* Fintech companies could provide deep insights based on users’ transaction history.\n* Video meeting tools could extract common complaints across customer calls and make them easy to discover.\n* Social media platforms could replace generic analytics dashboards with more specific metrics.\n\n### **🪄 How it works**\n\n1. Give us the metadata of your database schema (if using SQL), or just unstructured data corpuses (if using APIs or text corpuses)\n2. Add our iframe or Javascript plugin to your app\n3. (optional) set up visual styling for how charts should look on our app\n4. Let your users ask questions of the data, and get insights in seconds\n\nWe’re powered by large language models that can search and visualise both structured data (like SQL databases or data warehouses) and unstructured data (like text in call transcripts).\n\nPS: We don’t compromise on privacy 🔐 Our model only needs access to your database schema to work, and not actual data about your customers.\n\n### **⚡ Our asks**\n\n* [Get early access](http://defog.ai/): Sign up to get early access if you’d like to embed Defog in your app\n* [Take it for a spin](http://defog.ai/csv): Ask Defog questions on your own datasets - or one of our pre-selected ones\n* [Share your feedback](https://defog.ai/contact/): If you have questions or feedback, we’d love to hear from you. Email us at founders\\[at\\]defog.ai or reach out to us on [Twitter](https://twitter.com/defogdata) or [LinkedIn](https://www.linkedin.com/company/defog-ai/).", "url": "https://www.ycombinator.com/launches/Hk2-defog-ai-chatgpt-for-data-embedded-in-your-app", "votes": 36, "created_at": "2023-01-05T06:17:24.307Z" } ] }, { "id": 27943, "name": "Hadrius", "slug": "hadrius", "former_names": [ "Quantbase" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/baeea0b99bf74c18e8e63d396a18ee00083f0359.png", "website": "https://www.hadrius.com", "all_locations": "New York City, NY, USA", "long_description": "Hadrius allows regulated financial firms of all sizes to consolidate and automate their compliance processes using AI in one platform. Today, we're securing compliance for $3T+ AUM across our clients.\r\n\r\nWe're building the AI that will regulate the US financial system and the trillions that flows through it.", "one_liner": "Automating Securities Compliance", "team_size": 80, "industry": "Fintech", "subindustry": "Fintech -> Asset Management", "launched_at": 1668714980, "tags": [ "SaaS", "B2B", "Compliance", "Regtech", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Winter 2023", "status": "Active", "industries": [ "Fintech", "Asset Management" ], "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/hadrius", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2023/hadrius.json", "year_founded": 2023, "city": "New York City", "country": "US", "linkedin_url": "https://www.linkedin.com/company/hadrius/", "x_url": "https://x.com/HadriusAI", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/baeea0b99bf74c18e8e63d396a18ee00083f0359.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": 441787, "full_name": "Thomas Stewart", "title": "Founder", "founder_bio": "CEO @ Hadrius (W23). 2x founder including 1 exit. ", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/thomasjstewart/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/277277dc9db21ec570804a3872fd5ba71aebe8c2.jpg" }, { "user_id": 271334, "full_name": "Allen Calderwood", "title": "Founder", "founder_bio": "CTO @ Hadrius (W23), Quantbase, ex-Google, ex-Chime", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/androidallen/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/622454f88abc3bc9eee6c9b0b6bca8b365212328.jpg" }, { "user_id": 515820, "full_name": "Som Mohapatra", "title": "Founder", "founder_bio": "Before Hadrius - I dropped out of college to start my first company, an internet-based investment firm called Quantbase. Sold it to a competitor after growing it to $XXM+ AUM in <1 year. We used that money to help fund/grow Hadrius, and now I'm selling compliance software to companies that look like Quantbase.", "is_active": true, "linkedin_url": "http://linkedin.com/in/som-mohapatra", "x_url": "https://twitter.com/som_mohapatra", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/7ac494bcafc6d32ab4ac936377d148f76c5c3bee.jpg" } ], "jobs": [ { "id": 70099, "title": "AI Engineering Lead", "url": "https://www.ycombinator.com/companies/hadrius/jobs/OGacnWQ-ai-engineering-lead", "location": "New York, NY, US", "type": "Full-time", "role": "Engineering", "role_type": "Machine learning", "salary_range": "$240K - $340K", "equity_range": "0.10% - 0.20%", "experience": "6+ years", "visa": "US citizen/visa only", "skills": [ "ML", "Python", "Machine Learning", "Reinforcement learning (RL)", "LLMs" ] }, { "id": 79636, "title": "Senior Software Engineer", "url": "https://www.ycombinator.com/companies/hadrius/jobs/31F2foc-senior-software-engineer", "location": "New York, NY, US", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$200K - $250K", "equity_range": "", "experience": "6+ years", "visa": "US citizen/visa only", "skills": [ "Amazon Web Services (AWS)", "Django", "Python", "Distributed Systems" ] }, { "id": 79789, "title": "Account Executive", "url": "https://www.ycombinator.com/companies/hadrius/jobs/l2PKqkK-account-executive", "location": "New York, NY, US", "type": "Full-time", "role": "Sales", "role_type": null, "salary_range": "$250K - $315K", "equity_range": "", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 81664, "title": "Site Reliability Engineering Lead (Infrastructure, Security and Platforms)", "url": "https://www.ycombinator.com/companies/hadrius/jobs/xZdMQVn-site-reliability-engineering-lead-infrastructure-security-and-platforms", "location": "New York, NY, US", "type": "Full-time", "role": "Engineering", "role_type": "Devops", "salary_range": "$200K - $265K", "equity_range": "0.10% - 0.20%", "experience": "6+ years", "visa": "US citizen/visa only", "skills": [ "Amazon Web Services (AWS)", "Kubernetes", "Information Security", "Software Security" ] }, { "id": 90872, "title": "BDR", "url": "https://www.ycombinator.com/companies/hadrius/jobs/BJuHAmA-bdr", "location": "New York, NY, US", "type": "Full-time", "role": "Sales", "role_type": null, "salary_range": "$110K - $120K", "equity_range": "", "experience": "1+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 92316, "title": "Product Marketing Lead", "url": "https://www.ycombinator.com/companies/hadrius/jobs/MX3bK6L-product-marketing-lead", "location": "New York, NY, US", "type": "Full-time", "role": "Marketing", "role_type": null, "salary_range": "$180K - $210K", "equity_range": "", "experience": "6+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 105452, "title": "Strategic Finance and Operations Manager", "url": "https://www.ycombinator.com/companies/hadrius/jobs/sPagTwJ-strategic-finance-and-operations-manager", "location": "New York, NY, US", "type": "Full-time", "role": "Finance", "role_type": null, "salary_range": "$150K - $180K", "equity_range": "", "experience": "6+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 109291, "title": "Customer Success Manager", "url": "https://www.ycombinator.com/companies/hadrius/jobs/3JlZ5A8-customer-success-manager", "location": "New York, NY, US", "type": "Full-time", "role": "Operations", "role_type": null, "salary_range": "$135K - $165K", "equity_range": "", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [] } ], "news": [ { "title": "FinTech firm Hadrius nets $2m seed round for AI-powered SEC compliance", "url": "https://fintech.global/2023/09/12/fintech-firm-hadrius-nets-2m-seed-round-for-ai-powered-sec-compliance/", "date": "Sep 12, 2023" } ], "launches": [ { "id": 70075, "title": "Hadrius - SEC regulatory compliance powered by AI", "tagline": "Hadrius is your SEC compliance copilot, saving compliance teams hours daily.", "body": "Hey everyone - we’re [Thomas](https://www.linkedin.com/in/thomasjstewart/), [Allen](https://www.linkedin.com/in/androidallen/), and [Som](https://www.linkedin.com/in/som-mohapatra/) from [Hadrius](https://www.hadrius.com). Hadrius automates the entire ongoing SEC compliance process for investment managers, saving compliance teams hours daily on manual reviews, filings, and audit prep while giving full control over tasks and flagged items from an intuitive dashboard.\n\n![uploaded image](/media/?type=post&id=70075&key=user_uploads/441787/52bbfc17-b327-4223-99b1-4c221a692e23)\n\n### **The Problem ❌**\n\n30,000+ financial firms spend a combined total of $16b+ a year on ongoing SEC compliance, and with new regulations every year, these costs are continuing to rise. At the same time, the existing solutions can hardly keep up, with most firms paying for third-party consultants, law firms, and 2-decade-old software - while still relying on endless manual work to make up the gap.\n\nThe result: upwards of $10k/year per employee spent on regulatory compliance and thousands of hours of tedious tasks at each financial firm.\n\n### **The Solution ✨**\n\n![uploaded image](/media/?type=post&id=70075&key=user_uploads/441787/5a1b6f89-e106-431d-b8d0-500788a169be)\n\n \n\nHadrius scans emails, slack and SMS with GPT3, flagging non-compliant language to speed up correspondence review and does similar work for marketing review and regular filings. We’ve also automated billing reviews, allocation reviews, and rollovers by integrating into investment managers’ existing compliance stack (like client CRMs and trading systems).\n\nAll this is presented to the CCO and their compliance team as a dashboard where they can manage the automated tasks and review flagged items that require human input - overall savings hours daily.\n\n### **Why Us 🤝**\n\n![uploaded image](/media/?type=post&id=70075&key=user_uploads/441787/2991c0e1-d02d-43a0-a161-499a3b680426)\n\nWe ran an SEC-registered RIA ourselves, we've faced these challenges firsthand and developed Hadrius for our own fully-automated compliance program. We aim for a world where compliance is the effortless state of financial firms, rather than constant worry requiring expensive vigilance to maintain.\n\nAcross the team, we’ve had 1 previous exit and worked at Google, hedge funds, and Chime.\n\n### **Launch Deal 🙏**\n\nIf you’re an asset manager, we’ll begin automating your entire compliance stack with 20% off our annual contract as an early bird discount. Send us an email at [hello@hadrius.com](mailto:hello@hadrius.com) or [book a demo](https://0lxsd1t7maq.typeform.com/to/ac9F9JZV?typeform-source=www.hadrius.com)!", "url": "https://www.ycombinator.com/launches/IEF-hadrius-sec-regulatory-compliance-powered-by-ai", "votes": 22, "created_at": "2023-03-09T00:41:20.664Z" } ] }, { "id": 28094, "name": "Constant", "slug": "constant", "former_names": [ "Jottix" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/b0f3c94a7859923f3ba272902a34a8093dda07dd.png", "website": "https://useconstant.com", "all_locations": "San Francisco, CA, USA", "long_description": "Institutional-grade AI, replicating a team of top analysts.", "one_liner": "AI Analysts for the Buy-Side", "team_size": 2, "industry": "Fintech", "subindustry": "Fintech -> Asset Management", "launched_at": 1677744392, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2023", "status": "Active", "industries": [ "Fintech", "Asset Management" ], "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/constant", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2023/constant.json", "year_founded": 2023, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/useconstant", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/b0f3c94a7859923f3ba272902a34a8093dda07dd.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": null, "founders": [ { "user_id": 690279, "full_name": "Ben Sender", "title": "Founder", "founder_bio": "Ben previously worked at Silver Point, a hedge fund run by the former heads of Goldman Sachs Special Situations, Goldman High Yield Credit and Goldman Bank Loans. Before Silver Point, Ben worked at J.P. Morgan, Blackstone and T. Rowe Price. He graduated Summa Cum Laude from Princeton, where he studied economics, computer science and philosophy. His thesis was advised by former Princeton President Harold Shapiro, and was presented to former Fed Chairman Ben Bernanke.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/ben-sender-272813a4", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/258ffa5227188f15e83bd59da708425a591de57f.jpg" } ], "jobs": [], "news": [], "launches": [] }, { "id": 29181, "name": "Event Horizon Labs", "slug": "event-horizon-labs", "former_names": [ "EmergentAGI", "SciPhi" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/952b6381b227fe13913d082e7f9bdec4731e8adb.png", "website": "https://www.ehl.markets/", "all_locations": "San Francisco, CA, USA", "long_description": "We are scaling autonomous research, Markets are our verification loop: agents turn hypotheses into strategies, test them, and compound what survives. \r\n", "one_liner": "AI research lab automating all of investing", "team_size": 10, "industry": "Fintech", "subindustry": "Fintech -> Asset Management", "launched_at": 1710132587, "tags": [ "Finance", "Investing", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Winter 2024", "status": "Active", "industries": [ "Fintech", "Asset Management" ], "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/event-horizon-labs", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2024/event-horizon-labs.json", "year_founded": 2023, "city": "San Francisco", "country": "US", "linkedin_url": "", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/952b6381b227fe13913d082e7f9bdec4731e8adb.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "David Lieb", "url": "https://www.ycombinator.com/people/david-lieb" }, "founders": [], "jobs": [ { "id": 89199, "title": "Founding Research Engineer", "url": "https://www.ycombinator.com/companies/event-horizon-labs/jobs/WTS8qWs-founding-research-engineer", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Backend", "salary_range": "$150K - $200K", "equity_range": "1.00% - 3.00%", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [ "Python", "Machine Learning" ] }, { "id": 90937, "title": "Founding Software Engineer", "url": "https://www.ycombinator.com/companies/event-horizon-labs/jobs/xGQicps-founding-software-engineer", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Backend", "salary_range": "$150K - $200K", "equity_range": "1.00% - 3.00%", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [ "Kubernetes", "Python" ] } ], "news": [], "launches": [ { "id": 88711, "title": "R2R: Open-Source Agentic Retrieval System with Deep Research API", "tagline": "Enterprise-grade Deep Research API for Your Data plus the Web", "body": "### TL;DR\n\n**R2R** is an open-source system that extends beyond conventional RAG by adding autonomous research capabilities across your documents and the web. After processing large document collections in production environments, we developed the Deep Research API to help applications better connect and synthesize information from multiple sources. R2R is available as both a cloud service and self-hostable solution.\n\n**Cloud App Signup:** [app.sciphi.ai](http://app.sciphi.ai) (generous free tier, no credit card required)\\\n**GitHub:** [R2R](https://github.com/SciPhi-AI/R2R)\n\n### Demo\n\n![uploaded image](/media/?type=post&id=88711&key=user_uploads/372342/15328b62-f902-4d58-b559-8360b3468618)\n\n### The Problem\n\nTraditional RAG systems have fundamental limitations:\n\n* They match queries to documents but lack multi-step reasoning\n* Complex questions require manual investigation across multiple sources\n* Information synthesis remains a largely human task\n* Citation tracking and verification are often missing\n* The reasoning process remains opaque\n\nThese limitations create inefficiencies when dealing with complex information needs.\n\n---\n\n### Our Solution\n\nThe Deep Research API provides:\n\n* Multi-step reasoning across documents and web sources\n* Knowledge graph generation to establish connections between information\n* Chained research workflows for exploring complex topics\n* Citation-backed answers with source attribution\n* Real-time visibility into the agent's thinking process\n* RESTful endpoints for straightforward integration\n\n---\n\n![uploaded image](/media/?type=post&id=88711&key=user_uploads/372342/9d86d7c9-d1df-4d47-a3ad-b126b12c3941)\n\n---\n\n# **Key Features**\n\n**Research Capabilities**\n\n* Research Agent: Advanced reasoning with computational tools\n* Extended Thinking: Configurable reasoning depth with model support\n* Citation Tracking: Source attribution for verification\n\n**Platform Components**\n\n* Multimodal Ingestion: Support for .txt, .pdf, .json, .png, .mp3, and more\n* Hybrid Search: Semantic and keyword search with reciprocal rank fusion\n* Knowledge Graphs: Entity and relationship extraction\n* User/Document Management: Authentication and collection organization\n\n### Why Now?\n\nLLMs are evolving toward better reasoning, but simply uploading all data to models is costly and error-prone. Agentic RAG solves the \"when/what to retrieve\" challenge, ensuring LLMs access the right information, especially for enterprise applications with diverse data. Teams need less DevOps and faster market entry without debugging embeddings or managing infrastructure.\n\n---\n\n### Our Ask\n\nAre you building advanced AI solutions that demand deeper reasoning over your own data? Tired of kludging multiple services together?\n\n* **Sign up** at [app.sciphi.ai](http://app.sciphi.ai) (free tier included).\n* **Dive into repo** on [Github](https://github.com/SciPhi-AI/R2R)\n* **Book an exploratory call** [here](https://calendly.com/owen-uzg/sciphi-demo)\n\n---\n\n### About Us\n\nWe’re a team of AI veterans who contributed heavily to the open-source R2R project. Seeing how complicated “truly agentic” retrieval can be, we launched **SciPhi Cloud**—so you can enjoy advanced retrieval and multi-step reasoning at scale without the infrastructure burden.", "url": "https://www.ycombinator.com/launches/N4p-r2r-open-source-agentic-retrieval-system-with-deep-research-api", "votes": 18, "created_at": "2025-03-17T18:17:03.540Z" }, { "id": 79568, "title": "SciPhi - Build, deploy, and optimize AI retrieval", "tagline": "An open source platform that enables developers to build the best RAG system.", "body": "**TL;DR**: [SciPhi](https://www.sciphi.ai/) is a **cloud platform** that simplifies the deployment and optimization of production-ready Retrieval-Augmented Generation (**RAG**) pipelines for developers. Built on top of the robust **open source** **R2R** framework, SciPhi enables builders to focus on creating innovative applications rather than managing infrastructure.\n\n[**SciPhi Cloud Demo**](https://www.youtube.com/watch?v=ANWAGCzGQUU&ab_channel=redfauna101)\n\n**The Problem**\n\nRAG is fundamentally a search problem, and search at scale is hard. While deploying a basic RAG pipeline is relatively straightforward, scaling it to meet the diverse needs of a growing user base and/or dataset presents significant challenges. As indexed data grows, query times can slow down, leading to a diminished user experience. Further, different users will have varying complaints about system performance, depending on their specific use case and data set.\n\n**📦 SciPhi's Solution**\n\n* Seamless deployment of RAG pipelines to the cloud in just a few clicks\n* Customizable configurations via an intuitive config.json file to specify vector DB, embedding settings, LLMs, etc.\n* Secure secret management to encrypt and store API keys and other sensitive info\n* Automatic scaling to handle increased traffic and data volumes as your app grows\n* Built-in monitoring, logging, and A/B testing to gain insights and optimize performance \n\n![uploaded image](/media/?type=post&id=79568&key=user_uploads/372342/4fa047ca-3982-4c2d-b0f9-f1ea5d48c348)\n\n![uploaded image](/media/?type=post&id=79568&key=user_uploads/372342/0f4b026d-ba30-4526-ba9d-5d3019a76df2)\n\n![uploaded image](/media/?type=post&id=79568&key=user_uploads/372342/3208055b-d3f6-43b8-b8dc-394621376af4)\n\n![uploaded image](/media/?type=post&id=79568&key=user_uploads/372342/2f7fc1cf-3fb1-4909-a61c-e6e8814946a5)\n\n**Meet the Founder**\n\nSciPhi was founded by [Owen](https://www.linkedin.com/in/owencolegrove/) (CEO), who brings a unique perspective to the world of RAG. With a PhD in particle physics and experience creating quantitative research strategies at Citadel, Owen understands the challenges of working with large-scale data systems. As a second-time founder, he grew frustrated by the lack of tooling available to optimize RAG pipelines while building an open-source semantic search engine+agent. This experience started him on the path to creating SciPhi.\n\n**Our Ask**\n\n* 🚀 Sign up for early access at [app.sciphi.ai/login](https://app.sciphi.ai/login)\n* 💬 Join our [Discord](https://discord.gg/p6KqD2kjtB) community to connect with other RAG enthusiasts\n* [⭐](https://emojipedia.org/star) Check out the [R2R Github repository](https://github.com/SciPhi-AI/R2R/tree/main) and leave us a star\n* 🙌 Share this post with developers and teams looking to harness RAG in production\n\nWe're on a mission to empower developers to build state-of-the-art RAG pipelines. If that resonates, come build the future with us! Reach out to [founders@sciphi.ai](mailto:founders@sciphi.ai) to chat.", "url": "https://www.ycombinator.com/launches/KhM-sciphi-build-deploy-and-optimize-ai-retrieval", "votes": 89, "created_at": "2024-03-21T14:18:21.767Z" } ] }, { "id": 29467, "name": "Powder", "slug": "powder", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/c6603ab4de90057f1854b7b4b75d28ec647c3aa7.png", "website": "https://www.powderfi.com/", "all_locations": "San Francisco, CA, USA", "long_description": "Powder is an AI tool that helps wealth advisors rapidly create sales proposals that are personalized for each prospective client. Using LLMs, Powder is able to automate a series of manual tasks such as understanding documents and conversations to create mind-blowing analysis that builds immediate trust.\r\n\r\n\r\nPowder has 3 main features to automate sales workflows -\r\n\r\n1. Brokerage, tax and estate document parser thats fast and accurate.\r\n2. Meeting notetaker thats able to capture personalized insights.\r\n3. Portfolio analysis tool that optimizes portfolio returns, risk and fees.\r\n\r\nOur app saves hours of time and creates a pinpoint proposal that lifts a firm's ability to win new business.\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n", "one_liner": "AI Agents for precise document analysis", "team_size": 6, "industry": "Fintech", "subindustry": "Fintech -> Asset Management", "launched_at": 1705898735, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Winter 2024", "status": "Active", "industries": [ "Fintech", "Asset Management" ], "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/powder", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2024/powder.json", "year_founded": 2023, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/powderfinance/", "x_url": "https://twitter.com/PowderFi", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/c6603ab4de90057f1854b7b4b75d28ec647c3aa7.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Garry Tan", "url": "https://www.ycombinator.com/people/garry-tan" }, "founders": [ { "user_id": 30926, "full_name": "Kanishk Parashar", "title": "Founder/CEO", "founder_bio": "cofounder/CEO Powder - AI growth platform for wealth advisors. Previously, I was cofounder/CEO of RCI Navigator. Navigator helps asset and wealth managers to pace into private assets such as VC, PE, Infra, etc. while taking risks into account. It was acquired by Addepar in Jan 2021. Navigator is used by 150+ firms including UBS and Morgan Stanley. Before that I was cofounder/CEO of Coin (YCW13). Coin was a all-in-one digital credit card that combined all your cards into one.", "is_active": true, "linkedin_url": "https://linkedin.com/in/diamondk", "x_url": null, "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/6448324619fedb83cc73c7db99e7d1329e1031fc.jpg" }, { "user_id": 1254758, "full_name": "Soo Yung Cho", "title": "Founder/CTO", "founder_bio": "Sooyung is the co-founder and CTO of Powder, AI sales copilot for wealth advisors. Prior to founding Powder, Sooyung was a founding team member of RCI which was acquired by Addepar in 2021. Sooyung graduated from Johns Hopkins with a BS degree in Computer Science. Out of work, he enjoys playing lacrosse.", "is_active": true, "linkedin_url": "https://linkedin.com/in/soo-yung-cho-53643811", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/680cd924887cbfa012a035f3d25e2e4de32f51c0.jpg" }, { "user_id": 1512625, "full_name": "David Goerz", "title": "Founder", "founder_bio": "Co-founder & Chief Investment Officer for Powder Finance, which is building an AI Sales co-Pilot for wealth advisors to automate gathering financial holdings, analyze portfolios, assess risk tolerance, and summarize data to engage faster and efficiently.\n\nHe managed portfolio strategies for institutional asset owners for 33 yrs on mandates up to $30B in assets with pioneering innovations in quantitative equity and return forecasting, optimization and risk management. Chair, Investment Committees", "is_active": true, "linkedin_url": "https://linkedin.com/in/davidgoerz3", "x_url": "https://x.com/StrategicCAPM", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/2ef23b19e832e7f8516bdb4ef1e541da12279952.jpg" }, { "user_id": 1658092, "full_name": "Dominic Tully", "title": "Founder", "founder_bio": "I am currently the co-founder and Head of Sales and Operations at Powder. Prior to Powder, I work at the fintech firm, Addepar, as both a Senior Account Executive and Senior Account Manager. I started my career at Goldman Sachs, where I worked in the Private Wealth Management division in San Francisco. ", "is_active": true, "linkedin_url": "https://linkedin.com/in/dominic-tully-b9418292", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/45ca6e070f131ce33f15f013dc01769b5268e4e5.jpg" } ], "jobs": [ { "id": 81529, "title": "Founding Software Engineer, Agents", "url": "https://www.ycombinator.com/companies/powder/jobs/grrytZl-founding-software-engineer-agents", "location": "Redwood City, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$100K - $150K", "equity_range": "0.30% - 1.00%", "experience": "1+ years", "visa": "US citizen/visa only", "skills": [ "PostgreSQL", "Python", "React", "TypeScript" ] } ], "news": [ { "title": "Wealthtech Startup Powder Raises $5M in Seed Funding | Wealth Management", "url": "https://www.wealthmanagement.com/technology/wealthtech-startup-powder-raises-5m-seed-funding", "date": "Jul 22, 2024" }, { "title": "Introducing Powder: Generative AI Co-Analyst | Wealth Management", "url": "https://www.wealthmanagement.com/technology/introducing-powder-generative-ai-co-analyst-revolutionizing-wealth-management", "date": "Mar 04, 2024" }, { "title": "Fintech founders pair AI and client prospecting in new platform for financial advisors | Financial Planning", "url": "https://www.financial-planning.com/news/fintech-founders-pair-ai-and-client-prospecting-in-new-platform-for-financial-advisors", "date": "Nov 13, 2023" } ], "launches": [ { "id": 110475, "title": "Playbook — AI agents that run wealth management operations", "tagline": "AI agents that discover, execute, and verify work for wealth management firms", "body": "**Playbook is an AI orchestration platform for wealth management firms.**\n\nInstead of waiting for a human to prompt an AI copilot, Playbook deploys persistent AI agents that continuously discover work, investigate it, execute workflows, and verify the results.\n\nToday, **\\~40 wealth management firms representing $660B in client assets are already on the platform.**\n\nWe’re launching Playbook publicly at:\n\n[**https://askplaybook.ai**](https://askplaybook.ai)\n\n![uploaded image](/media/?type=post&id=110475&key=user_uploads/1254758/9eb08224-7480-445e-baba-0808170dea5f)\n\n## The Problem\n\nWealth management firms have spent years digitizing their businesses.\n\nThey have CRMs, portfolio management systems, custodians, financial planning tools, document repositories, email, meeting notes, and increasingly, AI copilots.\n\nBut there’s still a fundamental problem:\n\n**Someone has to notice that work needs to happen.**\n\nConsider something simple.\n\nA client normally keeps $100K in cash. One morning, that balance becomes $600K.\n\nThere may be no email.\n\nNo task.\n\nNo meeting.\n\nNo explicit instruction telling an advisor to investigate.\n\nSomeone has to notice the change, understand why it happened, determine whether action is required, gather the relevant context, decide what to do next, execute the work, and make sure it was done correctly.\n\nAI copilots can make individual steps faster, but they still generally depend on a human to recognize the work, provide the context, and initiate the process.\n\nThat led us to a different question:\n\n**What if the work discovered itself?**\n\n## Introducing Playbook\n\nPlaybook is built around persistent AI agents that operate across a wealth management firm.\n\nAt the center is the **Playmaker** — an orchestration agent responsible for understanding what is happening across the firm and coordinating work.\n\nThe Playmaker delegates to specialized agents we call **Playrunners**.\n\nEach Playrunner can be responsible for a specific domain or workflow: portfolio monitoring, tax opportunities, estate planning, client follow-up, compliance, meeting preparation, or other operational work.\n\nTogether, they operate in a continuous loop:\n\n**Observe → Discover → Anticipate → Plan → Execute → Verify → Persist → Repeat**\n\nInstead of asking an advisor to constantly tell AI what to do, Playbook continuously looks for work worth doing.\n\n## How does it work?\n\nImagine again that a client's cash balance unexpectedly moves from $100K to $600K.\n\nPlaybook can detect the change and begin investigating.\n\nWhat caused the cash increase?\n\nWas there a security sale?\n\nDid money arrive from an external account?\n\nIs this expected based on an upcoming purchase or distribution?\n\nDoes the advisor already know about it?\n\nAre there investment, tax, or planning implications?\n\nPlaybook gathers the available context, determines what it knows and what it still needs to know, and brings the advisor the information and questions required to make a decision.\n\nFrom there, agents can coordinate the downstream work.\n\nThe important difference is that the advisor didn't have to discover the issue first.\n\n**The system discovered the work.**\n\n## Verification is the product\n\nAs we built Playbook, we became convinced that making agents capable of doing work is only half the problem.\n\nThe harder question is:\n\n**How do you know their work is correct?**\n\nAs AI generation becomes faster and cheaper, verification becomes increasingly important — especially in financial services.\n\nOur architecture separates execution from verification.\n\nThe agent performing a task should not simply be trusted to grade its own work.\n\nPlaybook uses independent verification steps to evaluate outputs, evidence, and completion before work is considered finished.\n\nThis creates another important principle for us:\n\n**Appropriate autonomy, not maximum autonomy.**\n\nHumans remain responsible for objectives, standards, risk boundaries, and judgment.\n\nThe agents handle the work within those boundaries, while consequential actions remain auditable end to end.\n\n## Why does this matter?\n\nThe traditional question around AI in wealth management has been:\n\n**\"How many hours can we save an advisor?\"**\n\nWe think there's a more interesting question.\n\nImagine a wealth management firm where the marginal cost of operational work approaches zero.\n\nSuddenly, the constraint isn't just employee time.\n\nThe question becomes:\n\n**What would you do for every client if your firm effectively had unlimited operational capacity?**\n\nWould you review every portfolio every day?\n\nContinuously search for tax opportunities?\n\nCheck every estate plan when circumstances change?\n\nPrepare for every meeting automatically?\n\nFollow up on every commitment?\n\nContinuously verify that nothing has fallen through the cracks?\n\nThat's the future we're building toward with Playbook.\n\n## Where we are today\n\nPlaybook is already being used by **\\~40 wealth management firms representing approximately $660B in client assets.**\n\nWe're working closely with these firms to understand what happens when AI moves beyond isolated copilots and becomes an operational layer across the enterprise.\n\nAnd we're just getting started.\n\n## The Ask\n\nWe're looking for a small group of wealth management firms that want to work directly with our engineers on **enterprise-wide agentic automation**.\n\nIf you run or work at a wealth management firm, we'd love to hear about the workflows you think agents should own.\n\nAnd if you're building agents yourself, we'd especially love feedback from the YC community on our approach to **persistent agents, orchestration, and independent verification.**\n\nCheck out Playbook:\n\n[**https://askplaybook.ai**](https://askplaybook.ai)\n\nWe'd love your feedback. 👋", "url": "https://www.ycombinator.com/launches/Sjr-playbook-ai-agents-that-run-wealth-management-operations", "votes": 5, "created_at": "2026-08-13T19:28:17.154Z" }, { "id": 77718, "title": "Powder: Gen AI co-analyst that helps wealth advisors win new clients", "tagline": "We automatically generate beautiful proposals that highlight an advisor's value prop", "body": "Hey everyone! We’re [Kanishk](https://www.linkedin.com/in/diamondk/), [Dominic](https://www.linkedin.com/in/dominic-tully-b9418292/), [SooYung](https://linkedin.com/in/soo-yung-cho-53643811), [Jeff](https://www.linkedin.com/in/jeffrey-magder-3a62563/) and [David](https://www.linkedin.com/in/davidgoerz3/) from [Powder](https://powderfi.com).\n\n\\------\n\n**TLDR**: [Powder](https://powderfi.com) is building a generative AI co-analyst to help wealth advisors win new clients by automating the sales process.\n\n\\------\n\n**Problem**:\n\nWealth Advisors have an arduous sales process that has little transparency and leaves prospective clients unclear of the value they provide.\n\nAdvisors relying on their current manual operations are facing a tremendous challenge to scale.\n\nPowder is for wealth advisors who are:\n\n* Frustrated with burning costly analyst time making sense of prospects’ portfolio data\n* Dealing with very long sales timelines to win over prospects\n* Struggling to create beautiful presentations that highlight their value to prospects\n* Looking to leverage the latest technology to future-proof their firm\n\n**Solution**:\n\nHow can advisors stand out from the noise and close more prospects?\n\nBy leveraging Powder’s generative AI document and conversation extractor to rapidly leverage the prospect’s portfolio.\n\n![uploaded image](/media/?type=post&id=77718&key=user_uploads/30926/7f9f09fd-3369-49de-b99c-7b505c81a6e2)\n\nBy fine-tuning analytics that automatically demonstrates better investment returns, reduced portfolio risk, reduced tax consequences, and lowered investment fees.\n\n![uploaded image](/media/?type=post&id=77718&key=user_uploads/30926/14840681-c801-48df-83b2-cda90d62f686)\n\nCreating beautiful presentations that succinctly outline the benefits to the prospective client.\n\n![uploaded image](/media/?type=post&id=77718&key=user_uploads/30926/07d70c8a-5629-4027-bc04-879ebefca06d)\n\n**Who are we**:\n\nKanishk and SooYung previously founded [RCI Navigator](https://addepar.com/addepar-navigator) (acquired by Addepar).  Navigator is being used by 150+ firms including the biggest wealth advisors on the planet such as UBS and Morgan Stanley.  We repeatedly witnessed how sales were such a massive pain point.  We carried forward our expertise on how to build for and sell to wealth advisors.\n\nDominic worked at Addepar as both a Senior Account Executive and Senior Account Manager. He started his career at Goldman Sachs, where he worked in the Private Wealth Management division.\n\nDavid managed portfolio strategies for institutional asset owners for 33 years on mandates up to $30B in assets.\n\nJeff was the founding engineer at Arcade.xyz and an early BitGo employee.  He has 20 years of full-stack experience across multiple domains.\n\n**Ask**\n\nInterested advisors can sign up directly on our website - or set up a meeting with us - ", "url": "https://www.ycombinator.com/launches/KDW-powder-gen-ai-co-analyst-that-helps-wealth-advisors-win-new-clients", "votes": 18, "created_at": "2024-01-22T15:12:53.197Z" } ] }, { "id": 29636, "name": "Bayesline", "slug": "bayesline", "former_names": [ "Bayesline, Inc." ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/8a34bad8ff76fdef00535145a04bd76a11f215b1.png", "website": "https://bayesline.com", "all_locations": "New York City, NY, USA", "long_description": "Bayesline is building a GPU-powered financial analytics suite for institutional investors, like hedge funds. \r\n\r\nClients use our cloud deployed solution to build custom analytics in seconds, having previously been frustrated with off the shelf solutions that don't generate any alpha. What used to take weeks or months now happens near instantly. \r\n\r\nSebastian, CFA (ex Bloomberg Quant & AI Research) and Misha, PhD (ex BlackRock Managing Director) met while working at BlackRock in 2016. With a combined 20 years of experience in the space they set out to change the way the industry uses analytics - from one size doesn't fit all to truly tailored to clients' needs.", "one_liner": "Highly customizable and blazingly fast analytics for asset managers.", "team_size": 3, "industry": "Fintech", "subindustry": "Fintech -> Asset Management", "launched_at": 1722543223, "tags": [ "Fintech", "Finance", "B2B", "Analytics", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2024", "status": "Active", "industries": [ "Fintech", "Asset Management" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": [ { "question": "How did your company get started? (i.e., How did the founders meet? How did you come up with the idea? How did you decide to be a founder?)", "answer": "We met in 2016 at BlackRock, and lived together during Covid. We both have a very strong mission to revolutionize financial analytics. We thought that the world’s most renowned institutions would be the best place to do that. But it turns out that they move too slowly and are not ready to truly innovate, especially in the age of AI. Leaving our lucrative careers was the only way to pursue our dreams." }, { "question": "What is your long-term vision? If you truly succeed, what will be different about the world?", "answer": "All of financial analytics was built in the 90s on fundamentally an outdated tech stack (C++ on CPUs). The AI community has developed a new stack (Python ML packages on GPUs) that is orders of magnitude faster, both in time-to-market and run-time. Our aim is to rebuild all of financial analytics on this stack; from economic scenario simulation engines for banks and insurers to portfolio risk models for hedge funds. In the future, Bayesline will be integrated in all financial institutions, eliminating the days of waiting for calculation that tens of thousands of industry professionals have to deal with." } ], "url": "https://www.ycombinator.com/companies/bayesline", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2024/bayesline.json", "year_founded": 2024, "city": "New York City", "country": "US", "linkedin_url": "https://www.linkedin.com/company/bayesline", "x_url": "", "fb_url": null, "cb_url": null, "github_url": "https://github.com/orgs/Bayesline", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/8a34bad8ff76fdef00535145a04bd76a11f215b1.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/fb4bb1de304150c80cad018f66d4e49d856ffc45.png", "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/de0255323712d3a1cfcefc60b875e20c328eebb5.png" ], "primary_partner": { "name": "Aaron Epstein", "url": "https://www.ycombinator.com/people/aaron-epstein" }, "founders": [ { "user_id": 1931855, "full_name": "Sebastian Janisch", "title": "Founder/CEO", "founder_bio": "Building blazingly fast financial analytics at Bayesline. \nPreviously quant at Bloomberg and BlackRock building investment models running 4T in assets.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/sebastianjanisch/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/62590dcf51a88cd05066829bd47c6e47f5da853f.jpg" }, { "user_id": 1954098, "full_name": "Misha van Beek", "title": "Founder", "founder_bio": "Misha van Beek is a co-founder at Bayesline. Before Bayesline, Misha was a Managing Director at BlackRock where he led innovation on Aladdin’s portfolio risk models spanning tens of trillions in assets. He also led the research on Aladdin’s economic scenario engine, as well as investment models that run roughly $400 billion in strategic asset allocations across all major asset classes. He holds a PhD in Financial Mathematics from the University of Amsterdam.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/mishavanbeek/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/692f665d32c8556cf1dffe3fb2bc340742a392bf.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 82831, "title": "Bayesline - Blazingly fast analytics for Investment Managers", "tagline": "We help hedge funds create more alpha.", "body": "**TL:DR;** We figured out how to fit custom equity factor risk models in seconds instead of weeks. And we can do this across the entire financial analytics landscape. Ad hoc thematic factor construction (think COVID), risk decomposition through time, optimized factor selection, all on the fly and in seconds.\n\nTry out our demo [here](https://app.bayesline.com/signup).\n\n# Why does it matter?\n\nWe each spent nearly a decade at BlackRock and Bloomberg, building products, leading research teams, and empathizing with frustrated clients. They sit at the cutting edge of investment research, coming up with market-beating strategies. **Yet they have to make do with a 20-year-old analytics toolkit** that current vendors offer. \n\nWe are changing that. If the AI community can fit a 300 billion parameter model, there’s no reason why a factor risk model should take a week to compute. In fact, it doesn’t. **We figured out how to do it live and in seconds, and we can do it across the entire analytics landscape**. \n\n# Who is behind this?\n\n![uploaded image](/media/?type=post&id=82831&key=user_uploads/1931855/9d15dc8d-f99b-481f-b378-4f1f9c630691)\n\nHi, we’re Sebastian and Misha.\n\n[**Sebastian**](https://www.linkedin.com/in/sebastianjanisch/)**, CFA** built his expertise in quant research during his time as a Director in BlackRock’s Financial Modeling Group where he implemented and researched equity risk models that analyze trillions in assets.\n\nPrior to Bayesline, he was at Bloomberg, where he incubated the next generation of customizable and actionable quant products as part of the Quant & AI Research group.\n\nA computer scientist by training with M.Sc. in Finance and a passion for quant research, Sebastian spent the last 10 years leveraging the power of machine learning to challenge, innovate, and reshape how institutions think about financial modeling.\n\n[**Misha**](https://www.linkedin.com/in/mishavanbeek/)**, PhD** was among the youngest Managing Directors at BlackRock. He headed the portfolio risk research team that evolved Aladdin’s portfolio risk models across all asset classes.\n\nHe also headed the team that developed Aladdin’s economic scenario engine and investment models that manage roughly $400 billion in strategic asset allocations.\n\nMisha has spent the past 10 years coupling his professional quant training with his personal interest in all things AI and hands-on engineering.\n\n# Our Ask\n\n* **Try our our demo** [here](https://app.bayesline.com/signup). \\\n (only email and name required)\n* **Share this post!** Please help spread the word, as you never know who it may help\n* **Connect us** with quants, portfolio, and risk managers.\\\n \\* blurb to copy & paste:\\\n _The guys at Bayesline are ex-MD level BlackRock and Bloomberg. They are building a new class of analytics for asset managers, starting with equity factor risk and thematic factor construction. They can build fully customized and properly aligned models (custom universe, factors, exposure overrides, etc.) in seconds, far superior to what’s currently available. They deploy on the client cloud, ingest existing vendor data, and provide their engine to compute fully-fledged new risk models and analytics – all on the fly._", "url": "https://www.ycombinator.com/launches/LXz-bayesline-blazingly-fast-analytics-for-investment-managers", "votes": 120, "created_at": "2024-08-07T21:17:52.305Z" } ] }, { "id": 29735, "name": "FINNY AI", "slug": "finny-ai", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/f2d0e659d5d03f52a35513c7fe53a3701c771832.png", "website": "https://www.finny.com/", "all_locations": "New York City, NY, USA", "long_description": "FINNY is the AI-native organic growth engine for financial advisors, focused on helping them grow their practices\r\n \r\nOur goal is to empower financial advisors to reach the right potential clients at the right time, with the right message. We are building a world where anyone who wants financial advice can connect with the right advisor, while helping advisors ensure organic growth, the most existential problem advisors face. \r\n \r\nThe organic growth process has historically been highly inefficient and full of noise. Advisors often waste 60+ hours of business development to convert 1 new client. \r\n\r\nAt FINNY, we are certain we can do better with AI. With our tool, advisors can:\r\n- Identify prospects within their target niche, aggregating thousands of data points per lead\r\n- Prioritize prospects based on their predicted likelihood of converting using F-Score, a score unique to each advisor and prospect pair\r\n- Automate the outreach and meeting scheduling with their high priority prospects\r\n\r\nIn essence, FINNY does all the rote work for the advisors, letting them focus on what actually matters: the client relationship.", "one_liner": "The organic growth engine for financial advisors ", "team_size": 35, "industry": "Fintech", "subindustry": "Fintech -> Asset Management", "launched_at": 1716852989, "tags": [ "Fintech", "Machine Learning", "Finance", "Sales Enablement", "Automation" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Summer 2024", "status": "Active", "industries": [ "Fintech", "Asset Management" ], "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/finny-ai", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2024/finny-ai.json", "year_founded": 2024, "city": "New York City", "country": "US", "linkedin_url": "https://www.linkedin.com/company/finnyai/", "x_url": "", "fb_url": null, "cb_url": "https://www.crunchbase.com/organization/finny-6acf", "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/f2d0e659d5d03f52a35513c7fe53a3701c771832.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Jon Xu", "url": "https://www.ycombinator.com/people/jon-xu" }, "founders": [ { "user_id": 1755270, "full_name": "Eden Ovadia", "title": "Founder/CEO", "founder_bio": "Eden is the Co-founder and CEO of FINNY.\n\nShe studied Software Eng. at McGill University with a focus on ML. Prior to starting FINNY, Eden was at BCG where she worked in Private Equity & Financial Services. ", "is_active": true, "linkedin_url": "https://linkedin.com/in/edenovadia", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/1cb89e9ce9be37246ecb1f3e0e66556756e6db01.jpg" }, { "user_id": 1754854, "full_name": "Theodore Janson", "title": "Founder/CTO", "founder_bio": "Theo is the co-founder and CTO at FINNY. \nBefore FINNY, Theo worked as an applied ML engineer in an early Fintech startup, leading the development of statistical models and LLMs for automated financial analysis. He has also held research roles in LLM explainability and particle physics. Theo has degrees in electrical engineering and CS from Ecole Polytechnique (X) and McGill University.\n\n\n\n", "is_active": true, "linkedin_url": "https://linkedin.com/in/theodore-janson", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/b30d06543a1a116e358a9ec48f753d7e759411e2.jpg" }, { "user_id": 1630058, "full_name": "Victoria Toli", "title": "Founder", "founder_bio": "Victoria is the co-founder and CPO of FINNY, an AI-driven growth engine for financial advisors. \n\nBefore FINNY, she was a Product Manager at Uber, where she led growth and international expansion for Uber One. She holds a BS in Symbolic Systems, Artificial Intelligence from Stanford. Victoria grew up in Athens, Greece. ", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/victoria-toli/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/9493c48a901d6d10732682c7f6b2b657f49c8953.jpg" } ], "jobs": [ { "id": 92443, "title": "Product Engineer ", "url": "https://www.ycombinator.com/companies/finny-ai/jobs/diUrCMS-product-engineer", "location": "New York City", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$180K - $200K", "equity_range": "", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 110017, "title": "Senior Account Executive, Enterprise ", "url": "https://www.ycombinator.com/companies/finny-ai/jobs/ZpW4jSD-senior-account-executive-enterprise", "location": "New York, NY, US", "type": "Full-time", "role": "Sales", "role_type": null, "salary_range": "$150K - $200K", "equity_range": "", "experience": "6+ years", "visa": "Will sponsor", "skills": [] }, { "id": 110018, "title": "Growth Marketing Manager ", "url": "https://www.ycombinator.com/companies/finny-ai/jobs/tVk0vEd-growth-marketing-manager", "location": "New York, NY, US", "type": "Full-time", "role": "Marketing", "role_type": null, "salary_range": "$140K - $170K", "equity_range": "", "experience": "6+ years", "visa": "Will sponsor", "skills": [] }, { "id": 110019, "title": "Growth Strategist, Enterprise ", "url": "https://www.ycombinator.com/companies/finny-ai/jobs/woHEz5n-growth-strategist-enterprise", "location": "New York, NY, US", "type": "Full-time", "role": "Sales", "role_type": null, "salary_range": "$130K - $150K", "equity_range": "", "experience": "3+ years", "visa": "Will sponsor", "skills": [] } ], "news": [ { "title": "WealthTech Roundup: FINNY Partners With Osaic for AI", "url": "https://www.wealthmanagement.com/artificial-intelligence/wealthstack-roundup-finny-partners-with-osaic", "date": "Jan 29, 2026" }, { "title": "FINNY closes $17M Series A to help RIAs fight organic growth squeeze - InvestmentNews", "url": "https://www.investmentnews.com/fintech/finny-closes-17m-series-a-to-help-rias-fight-organic-growth-squeeze/263644", "date": "Dec 18, 2025" }, { "title": "FINNY Adds Multi-Channel, Automated Prospect Outreach Feature", "url": "https://www.wealthsolutionsreport.com/finny-adds-multi-channel-automated-prospect-outreach-feature/", "date": "Aug 07, 2025" }, { "title": "YC-backed Finny is using AI to match financial advisors with prospects | TechCrunch", "url": "https://techcrunch.com/2024/12/11/yc-backed-finny-helps-financial-advisors-find-new-clients/", "date": "Dec 11, 2024" }, { "title": "Finny and the Great AdvisorTech Acceleration | Wealth Management", "url": "https://www.wealthmanagement.com/technology/finny-and-great-advisortech-acceleration", "date": "Aug 12, 2024" } ], "launches": [ { "id": 82467, "title": "⚡FINNY - Supercharge organic growth for Financial Advisors", "tagline": "We help independent financial advisors find and convert new clients, using AI. ", "body": "Hey everyone, we are Theo, Eden, and Victoria — the founders of [FINNY](https://www.finnyai.com/). We help independent financial advisors find and convert new clients, using AI.\\\n\\\nIf you’re confused as to why the three of us are so excited about building for financial advisors, keep reading.\n\n![uploaded image](/media/?type=post&id=82467&key=user_uploads/89898/9cd181f2-59e6-4458-b5c9-250b9399ee43)\n\n# 🧑‍🔬 **The Team**\n\n**🏦The Sales Whisperer**  \n\n[Eden](https://www.linkedin.com/in/edenovadia/) was most recently at BCG NYC, where she primarily worked in the Tech, Financial Institutions & Private Equity practices. She holds a BEng in Software Engineering from McGill (ML focus). \n\n**👾The Model Man** \n\n[Theo](https://www.linkedin.com/in/theodore-janson/) worked as a ML engineer at an early Fintech startup and AI researcher in Explainable ML. He holds a BEng in EE and Math from McGill and MS in AI from Ecole Polytechnique, Paris.\n\n**👩🏼‍🎨The Visionary** \n\n[Victoria](https://www.linkedin.com/in/victoria-toli/) came from Uber, where she led membership growth for Uber One as a Product Manager. She holds a BS from Stanford in Symbolic Systems (AI focus). \n\n# **🫶🏻 Why are we obsessed with Financial Advisors?**\n\n* **The Great Wealth Transfer** - $80T of wealth will be transferred from the Boomer/Silent Gen to the next generation over the next 20 years. \n* **Retiring advisors** - 45,000 financial advisors are over the age of 65 in the US, managing $3T in wealth that will change management when they retire.\n* **Wealth creation** - Wealth is being created in unprecedented ways (E.g., Innovation, Entrepreneurship, Social media, Racial wealth gain), but the institution serving the wealth has not changed\n* **Consolidation** - Private equity driving consolidation of a historically long tail of independent advisors\n* **Price Inertia:** Financial Advisors are used to paying 25 bps annually IN PERPETUITY for referrals. That’s $200B annually from the wealth transfer alone.\n\n \n\n# 💀 **The Problem FINNY is Solving**\n\nFinancial advisors manage >$100T in assets globally. Yet, bringing on new clients is highly inefficient. Their best bet is to repurpose horizontal solutions - like Linkedin, ZoomInfo, and Pitchbook - to create long and noisy prospect lists. However, without a proper way to qualify these leads or even reach their particular niche at scale, advisors end up spending an average of **58 hours** going after the wrong, often unqualified prospects before converting one new client.\n\n![uploaded image](/media/?type=post&id=82467&key=user_uploads/1755270/ea1b3592-dc3a-4581-86ad-447709eec5bf)\n\n# 💡 **The Solution**\n\nFINNY is reimagining organic growth for financial advisors with AI. Our first product, a multi-channel Sales agent, allows users to sit back and relax while it goes “out in the wild” (aka our massive database of high-net-worth individuals) and prospects for them. It’s like your intern, except it’s always on, running in the background.\n\nFINNY’s goal is for advisors to wake up in the morning to meetings with prospects on their calendars, entirely booked by FINNY. Our value proposition is three-fold: \n\n1. **_Prospect identification:_**\n * _We identify prospects within their target niche, aggregating thousands of data points per lead and constantly monitoring for life triggers_\n\n  \n2. **_Prospect prioritization_:**\n * We prioritize prospects based on their predicted likelihood of converting, a score unique to each advisor and prospect pair\n3. **_Prospect outreach & engagement:_**\n * _We automate the outreach and meeting scheduling with the high-priority prospects, intelligently selecting the optimal channel for the specific prospect_\n\n![uploaded image](/media/?type=post&id=82467&key=user_uploads/1755270/2df42888-af79-4d31-a06f-a153ff0487e7)\n\n# ✅ **Progress so far**\n\nIn just 3 months, we have:\n\n* Released the **1st** and **2nd iteration** of the product to 15 advisory firms.\n* Grown revenue by >**11x** MoM.\n* Got **70** firms to join our waitlist, without any acquisition efforts or outbound.\n* **Won** Morningstar’s Fintech Showcase last month.\n* Have been getting some **buzz**! [Here](https://www.businesswire.com/news/home/20240724776742/en/Future-Proof-Announces-Groundbreaking-Lineup-of-Fintech-Demo-Drop-III-Finalists) and [here](https://www.downtownjoshbrown.com/p/future-financial-advice-already-993f).\n\n \n\n![uploaded image](/media/?type=post&id=82467&key=user_uploads/1755270/5a150faf-0c65-424a-96f1-90f6e4c79b94)\n\n# **❓One Ask for You (If you made it this far)**\n\nIf you ever thought about working with a financial advisor, evaluated one, currently work with one _(or want to get matched with one_ **😉**_),_ we’d love to talk to you. Book 15 min with us [here.](https://calendly.com/eden-finny/finny-intro-call) If you’re in SF, we’ll buy you a coffee. If not, let’s call it an IOU.", "url": "https://www.ycombinator.com/launches/LS7-finny-supercharge-organic-growth-for-financial-advisors", "votes": 62, "created_at": "2024-07-26T15:05:12.600Z" } ] }, { "id": 29789, "name": "Paasa", "slug": "paasa", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/69545faa0fc0f7ee6b89313f1c320d59486f1802.png", "website": "https://paasa.com", "all_locations": "Gurugram, HR, India", "long_description": "Paasa helps wealthy Indians invest in global equities - without middlemen, hidden fees, or paperwork.\r\n\r\nWhile high-net-worths in India often have international expenses from children's education to healthcare, most still save in INR, a currency that depreciates ~2–5% per year against the USD. Why?\r\n\r\n- Broken outward remittance process\r\n- Fear of making mistakes in tax or compliance\r\n- Paper-heavy onboarding processes of international brokers\r\n- Lack of trustworthy guidance\r\n\r\nPaasa offers a mobile app that enables Indians to trade worldwide, invest via advisory, and automate every cross-border tax filing.", "one_liner": "Invest in Global Equities from India", "team_size": 9, "industry": "Fintech", "subindustry": "Fintech -> Asset Management", "launched_at": 1723926494, "tags": [ "Fintech", "Consumer", "Investing", "Emerging Markets" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2024", "status": "Active", "industries": [ "Fintech", "Asset Management" ], "regions": [ "India", "South Asia" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/paasa", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2024/paasa.json", "year_founded": 2024, "city": "Gurugram", "country": "IN", "linkedin_url": "https://www.linkedin.com/company/paasa", "x_url": "https://x.com/paasainvest", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/69545faa0fc0f7ee6b89313f1c320d59486f1802.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": null, "founders": [ { "user_id": 1349737, "full_name": "Nitish Sahni", "title": "Founder/CEO", "founder_bio": "Invest in global markets from India.", "is_active": true, "linkedin_url": "https://linkedin.com/in/nitishsahni", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/5698052f2c8b615eea9d1b979f9eac883fdc5342.jpg" }, { "user_id": 1961202, "full_name": "Sparsh Sharma", "title": "Founder", "founder_bio": "Chief product officer at Paasa", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/sparsh-sharma-design/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/8b3548ef5824a7bc28611d7c2c95679e26331d43.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 83571, "title": "Paasa - Build wealth across borders", "tagline": "Invest in US markets from emerging economies.", "body": "[Paasa](https://paasa.com/) gives high-net-worth individuals (HNIs) in emerging markets the same globally diversified portfolios as HNIs in America.\n\n![uploaded image](/media/?type=post&id=83571&key=user_uploads/1349737/99f6cc47-f702-4c67-b7c8-9659ff814b35)\n\n**What’s the problem?**\n\n‘Pre-HNIs’ and HNIs in countries like India want to diversify their wealth internationally. A few cross-border brokerage apps exist, but most customers hesitate due to:\n\n* Lack of guidance on foreign investments\n* Remittance regulations that change every year\n* Cross-border tax filing that their CFAs struggle with\n* Slow outflows from local banks\n\nThese barriers keep global investing out of reach, reserved for the top 0.001% who can afford wealth managers and family offices. We’re changing that.\n\nOur vision is to bring all the opportunities of the 0.001% to the pre-HNI without any hassle.\n\n**Team**\n\n[Sparsh](https://www.linkedin.com/in/sparsh-sharma-design/) and I ([Nitish](https://linkedin.com/in/nitishsahni)) grew up in India and have known each other for 5 years. Both personal finance nerds, we previously worked at SoFi, where Sparsh led design on Student Loan Refinance, and I led engineering projects on Data Governance.\n\n**Ask**\n\nIf you’re in India and want to invest globally, [reach out](https://paasa.co/form)! We’re [founders@paasa.co](mailto:founders@paasa.co)\n\n![uploaded image](/media/?type=post&id=83571&key=user_uploads/1349737/821d0b76-d224-43b7-996d-a539b271dba9)\n\n", "url": "https://www.ycombinator.com/launches/Ljv-paasa-build-wealth-across-borders", "votes": 131, "created_at": "2024-08-29T15:14:04.755Z" } ] }, { "id": 31234, "name": "Ekpa", "slug": "ekpa", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/06c4988b8eff9db30a66dc2c4f5f513eba67b606.png", "website": "https://goekpa.com/", "all_locations": "Boston, MA, USA", "long_description": "", "one_liner": "Building Autonomous Research Agents for Trading", "team_size": 2, "industry": "Fintech", "subindustry": "Fintech -> Asset Management", "launched_at": 1783109218, "tags": [ "Consumer Finance" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2026", "status": "Active", "industries": [ "Fintech", "Asset Management" ], "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/ekpa", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2026/ekpa.json", "year_founded": 2026, "city": "Boston", "country": "US", "linkedin_url": "https://www.linkedin.com/company/ekpa/", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/06c4988b8eff9db30a66dc2c4f5f513eba67b606.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Ankit Gupta", "url": "https://www.ycombinator.com/people/ankit-gupta" }, "founders": [ { "user_id": 3028173, "full_name": "Anant Asthana", "title": "Founder", "founder_bio": "Co-founder @ Ekpa", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/asthana-anant/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/35d5061a5dc077f08c538bfd81cf5371b0b5252a.jpg" }, { "user_id": 2421466, "full_name": "Yuga Patel", "title": "Founder", "founder_bio": "Co-Founder @ Ekpa | CS/AI @ MIT", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/yugapatel26", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/2253a03131fee0fb9263a61fbc45c54c1e30c348.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 105026, "title": "Ekpa: AI-Native Investment Platform for Everyday Traders", "tagline": "Intelligent and Data-Backed Investment Decisions", "body": "Hi all, \n\nWe’re Yuga and Anant. Yuga is a CS & Econ major at MIT with investment experience; Anant is CS & ChemE at MIT who has built agentic pipelines for drug discovery.\n\n**TL;DR:** With Ekpa, retail investors can create and improve their portfolio with tailored and strategic advice. Reach out if you are/know anyone who is into investing!\n\n**90 sec demo 👇**\n\n\n\n❌ The problem\n\nThere is a big gap between passive index-fund investors and wealthy people who have access to real hedge funds. Hedge funds have an army of people doing research and tracking and tracing every single piece of data. \n\nA retail investor with a full-time job and family does not have time to do all the research and make intelligent trading or investing decisions. \n\nAn everyday person lacks time, tools, expertise, and therefore confidence to make decisions that bring them closer to achieving financial freedom. \n\nTherefore, they miss out on the opportunity to build their wealth unlike the wealthy who continue to compound their wealth. \n\n**✅ The solution**\n\nWhat Ekpa enables:\n\n* **AI-Native Data Workflows** - agents that constantly keep up with the market trends, news, SEC filings, 10k, etc based on your portfolio.\n* **Research Systems**, based on your current portfolio and current interest. \n* **Discover New Investments** based on your risk-tolerance and future goals.\n* **Active Alert System**, so you don’t miss out on when the markets are moving while spending time doing the things you love. \n\nWith Ekpa, individuals build wealth regardless of experience. We’ve built AI trading systems that have outperformed the S&P500 over short time periods (over +1.5% returns in one week). \n\n**The ask**\n\nWe’re onboarding early customers and would love intros to anyone interested in trading\n\nFeel free to reach out directly to us at founders@goekpa.com. ", "url": "https://www.ycombinator.com/launches/RJy-ekpa-ai-native-investment-platform-for-everyday-traders", "votes": 17, "created_at": "2026-07-09T15:29:01.604Z" } ] }, { "id": 31330, "name": "Standard Signal", "slug": "standard-signal", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/4a8bb04e2bfc061803541bd6c36efdf20229704c.png", "website": "https://standardsignal.com", "all_locations": "New York City, NY, USA", "long_description": "Standard Signal is the first hedge fund that researches and executes trades purely with AI. Our custom models discover and trade on new fundamental truths about the world before humans can.", "one_liner": "Hedge fund where AI researches and executes every trade end-to-end", "team_size": 1, "industry": "Fintech", "subindustry": "Fintech -> Asset Management", "launched_at": 1775159965, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Spring 2026", "status": "Active", "industries": [ "Fintech", "Asset Management" ], "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/standard-signal", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2026/standard-signal.json", "year_founded": 2026, "city": "New York City", "country": "US", "linkedin_url": "", "x_url": "https://x.com/StandardSignal", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/4a8bb04e2bfc061803541bd6c36efdf20229704c.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": 984097, "full_name": "Michael Royzen", "title": "Founder/CEO", "founder_bio": "Founder & CEO at Standard Signal (YC P26), building the first hedge fund where AI runs everything from research to the actual trade execution end-to-end.\nPreviously co-founder & CEO at Phind (YC S22), where I built the first AI search engine and trained LLMs that beat GPT-4 on HumanEval (2024) and had the #1-ranked open-source coding model on Hugging Face for 6 months in 2023.\nUT Austin Turing Scholar '22\nPreviously an undergrad NLP researcher, as well as ML at Lyft, Cloudflare, and Microsoft.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/michaelroyzen/", "x_url": "https://twitter.com/michaelroyzen", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/706f8f788e198ff32880b7ca40d15459d1f60a6e.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 102374, "title": "Standard Signal - Hedge fund where AI researches and executes every trade", "tagline": "Standard Signal is the first hedge fund that researches and executes trades purely with AI. Our custom models discover and trade on new fundamental truths about the world before humans can.", "body": "# Standard Signal — the first hedge fund where AI does the trading\n\n## TL;DR\n\nStandard Signal is a hedge fund where AI researches the world and makes the trades — end-to-end, no human in the loop. The strategy is trading live today and has a Sharpe ratio above 3. We share full performance with qualified investors on request. We're opening to a small number of early investors.\n\n![uploaded image](/media/?type=post&id=102374&key=user_uploads/984097/cfad05e9-3b5e-4838-beb9-e91854aa0183)\n\n_The system trades on its own, with every decision logged and auditable in real time._\n\n## The problem\n\nThe most valuable trading is still done by hand.\n\nThe fast end of the market is a latency arms race — won by whoever has the lowest-latency infrastructure, not the best ideas. We don't play there. The real money is in big, asymmetric bets on shifts in the world that nobody else has priced in yet.\n\nBut that kind of trading is bottlenecked by people. The standard workflow is a human spending hours or days researching, forming a thesis, and wiring up a strategy by hand. It's slow, it doesn't scale, and it's capped by how fast one person can read, reason, and react.\n\n## Why now\n\nAI recently crossed a threshold. It can now take in what's happening in the world, reason over it, and act in seconds — collapsing a loop that used to take humans hours or days.\n\nThe catch is that research was never the hard part; judgment is. Off-the-shelf models are strong analysts and weak traders. Closing that gap is the whole game, and it's what we've built.\\\n\\\nThe way we close it is reinforcement learning. Our thesis is that judgment is learnable: trading, like math and code, comes with an objective scorecard — the market eventually grades every call as right or wrong. So rather than prompt a general-purpose model and hope, we train one directly on that signal, rewarding the judgment that compounds and penalizing the rest, until knowing when _not_ to trade is as sharp as knowing when to. The model doesn't just read the world — it has learned, from outcomes, how to act on it.\n\n## Traction\n\nThe strategy trades live today. In our live track record to date, it has run a Sharpe ratio above 3. Full performance figures are available to qualified investors on request. Every decision the system makes is fully auditable, and hard risk limits are enforced by our infrastructure rather than by the model.\n\n## Team\n\nMichael Royzen previously founded Phind, one of the earliest consumer AI chat companies, which built the first AI search engine — before ChatGPT — and scaled it to 150M+ searches. The team has trained some of the best AI models in the world, which is exactly the capability this fund is built on.\n\n![uploaded image](/media/?type=post&id=102374&key=user_uploads/984097/5942f9b5-982e-4cb6-a44f-40d2bedaccc3)\n\n## Why we'll win\n\nWe operate like an AI startup, not a quant shop: extreme focus, high talent density, and a lot of compute.\n\nThere are millions of tradeable securities, and other funds will eventually adopt AI too. Our edge is being first in a small number of the highest-value strategies. Being first gives us the most data on how our own trades move the market, which compounds: better data → better models → the most informed participant → better data.\n\nThe incumbents are handing us the window. The biggest players are still skeptical of letting AI drive real trading decisions. We think they're wrong, and their hesitation is our head start. The next RenTech will look more like an AI lab than a traditional quant shop — and we intend to be it.\n\n## The ask\n\nWe're opening to a limited number of accredited investors. Our full fee and redemption terms are set out in our offering documents and are available to qualified investors on request — early investors lock in our most founder-friendly pricing. If that's you, or you can introduce us to someone, reach out.\n\n---\n\n_This page is for informational purposes only and is not an offer to sell, or a solicitation of an offer to buy, any security or interest in any fund. Any such offer will be made only to eligible investors and only through definitive confidential offering documents, which should be read in their entirety before investing._", "url": "https://www.ycombinator.com/launches/QdC-standard-signal-hedge-fund-where-ai-researches-and-executes-every-trade", "votes": 36, "created_at": "2026-06-01T16:25:17.059Z" } ] }, { "id": 31390, "name": "Wealor", "slug": "wealor", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/b24805f90c326649a050015bbd590a7ce2f86c5c.png", "website": "https://wealor.ai/", "all_locations": "Paris, Île-de-France, France", "long_description": "", "one_liner": "AI-native platform for wealth managers", "team_size": 0, "industry": "Fintech", "subindustry": "Fintech -> Asset Management", "launched_at": 1779951603, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Spring 2026", "status": "Active", "industries": [ "Fintech", "Asset Management" ], "regions": [ "France", "Europe" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/wealor", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2026/wealor.json", "year_founded": 2026, "city": "Paris", "country": "FR", "linkedin_url": "https://www.linkedin.com/company/111953568/admin/dashboard/", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/b24805f90c326649a050015bbd590a7ce2f86c5c.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/3c5b6ab1bafce746a6634870dcfe986b0e465f6c.png" ], "primary_partner": { "name": "Andrew Miklas", "url": "https://www.ycombinator.com/people/andrew-miklas" }, "founders": [ { "user_id": 2693699, "full_name": "Karim Bouri", "title": "Founder/CEO", "founder_bio": "Cofounder & CEO @ Wealor\nPreviously structured private investments for wealth managers.\nML & software engineer trained at UC Berkeley, École Polytechnique, HEC Paris, and ENSAE Paris. Top 13 African table tennis player and former #1 in Morocco.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/karim-bouri-7a570824a/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/47718fabb055bfc29b4b0d5392a3f9340828f4d0.jpg" }, { "user_id": 3331290, "full_name": "Pierre Depuydt", "title": "Founder/CTO", "founder_bio": "Founder at Wealor (YC P26). French Math Olympiad winner. Studied at École Polytechnique, X-HEC Entrepreneurs, and UC Berkeley. Former Deputy Section Chief in the French military, leading training programs in Guadeloupe. Previously worked in strategy consulting at Boston Consulting Group and in finance and advanced data analytics at Tiffany & Co.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/pierre-depuydt-887779280", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/e5913dd6572c29e3f5a480054a9c618e267a1d04.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 102090, "title": "Wealor : The AI Native platform for wealth managers", "tagline": "The institutional brain that runs your firm ", "body": "**TL;DR** \\\n\\\nWealor is building the AI-native platform for wealth managers, a centralized source of truth across wealth management, tax, and legal, with AI agents that automate operational work directly across legacy systems.\\\n\\\n\\\n\\\n**The Problem**\n\nOver $90T of wealth is managed on infrastructure built decades ago.\\\n\\\nWhen Karim spent extended time inside wealth management firms, he saw advisors spending hours every day reconciling client information across disconnected systems just to maintain a reliable view of the client and still failing. Most vendors solved isolated operational pain points. But the real problem is organizational: client knowledge lived inside people’s heads, not inside the firm itself. When advisors or operations teams left, years of context, workflows, and expertise disappeared with them. Firms operated with multiple conflicting versions of the same client data, but no true source of truth.\n\nFor this reason, most advisors were spending 80% of their time on back-office work and 20% with clients. It should be the other way around.\n\n**Our Solution**\n\nWealor creates a centralized, queryable source of truth for every client across the firm by capturing data from conversations, financial documents, tax returns, legal documents, custodial systems, and internal workflows.\n\nSpecialized AI agents then use this knowledge layer to automate operational work directly across legacy systems through APIs and browser automation.\n\nIn practice:\n\n* Reconcile client information across emails, meetings, CRMs, custodians, tax, legal, and operational systems, even when no APIs exist\n* Give advisors one intelligence layer with full client context across wealth, tax, legal, estate, insurance, and family relationships\n* Execute account opening, client subscriptions, tax optimization analysis,  trade rebalancing and generation of billable client plans directly across partner portals and internal systems using APIs and browser automation\n* Automate CRM updates, follow-up emails, onboarding, compliance, reporting, signatures, billing, and document drafting after every meeting\n\nWith Wealor, advisors get their time back. The 80/20 flips while firms finally gain infrastructure they can scale on reliably.\n\n**Why We Started Wealor**\n\nKarim Bouri structured private investments and watched advisors turn down high-performing products, not because they weren't right for clients, but because the back-office work to implement them was too heavy. Clients ended up with the easiest products to process, not the best ones. That left a mark.\n\nHe decided to tackle the problem with longtime friend Pierre Depuydt, former BCG consultant, gold medal winner of the French Math Olympiad, and builder of high-volume financial data systems at Tiffany & Co. Pierre knows exactly what it takes to bring fragmented data, client knowledge, financial information, tax and legal context, into one coherent system. That is precisely what Wealor is built on.\n\n**Our Ask**\n\nWe're looking to connect with RIAs, multi-family offices, trust companies, and tax and estate planning firms.\n\n", "url": "https://www.ycombinator.com/launches/QYc-wealor-the-ai-native-platform-for-wealth-managers", "votes": 25, "created_at": "2026-05-29T01:19:53.534Z" } ] }, { "id": 31393, "name": "KelAI", "slug": "kelai", "former_names": [ "KelAI", "KelAI Capital", "KelAI", "KELAI" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/173bcf6c0b9d00045db94da34f174baaafeb2255.png", "website": "https://kelaitech.com/", "all_locations": "New York City, NY, USA", "long_description": "Founded by former WorldQuant portfolio manager & head of event driven systematic strategies Jeremie Cohen, KelAI is building the autonomous alpha engine for hedge funds, traders and institutional investors. \r\n\r\nInvestment teams now have more data, tools and compute than ever, but research still runs across siloed systems and inefficient workflows. KelAI turns that fragmented process into a compounding AI-native engine that continuously finds, tests and validates trading signals at a pace no human team can match.", "one_liner": "The AI Quant: Autonomous Alpha Engine for Funds and Traders.", "team_size": 3, "industry": "Fintech", "subindustry": "Fintech -> Asset Management", "launched_at": 1779077553, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Spring 2026", "status": "Active", "industries": [ "Fintech", "Asset Management" ], "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/kelai", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2026/kelai.json", "year_founded": 2025, "city": "New York City", "country": "US", "linkedin_url": "https://www.linkedin.com/company/kelai-capital/", "x_url": "https://x.com/kelaicapital", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/173bcf6c0b9d00045db94da34f174baaafeb2255.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": 3403044, "full_name": "Jeremie Cohen", "title": "Founder/CEO", "founder_bio": "Founder and CEO of KelAI. Managed a large global systematic equity book at WorldQuant and lead an ML team at Millennium Management. Nuclear engineer by training.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/jeremcoh/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/1cc70ed680139ff8181aad82080c0ab8cadaad37.jpg" } ], "jobs": [ { "id": 99248, "title": "Applied AI Engineer", "url": "https://www.ycombinator.com/companies/kelai/jobs/kQn2Z4d-applied-ai-engineer", "location": "New York, NY, US", "type": "Full-time", "role": "Engineering", "role_type": "Machine learning", "salary_range": "$130K - $215K", "equity_range": "", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 99249, "title": "Quant Researcher", "url": "https://www.ycombinator.com/companies/kelai/jobs/iXYw0MB-quant-researcher", "location": "New York, NY, US", "type": "Full-time", "role": "Engineering", "role_type": "Data science", "salary_range": "$150K - $200K", "equity_range": "", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 99250, "title": "Senior Infrastructure Engineer", "url": "https://www.ycombinator.com/companies/kelai/jobs/Pposw25-senior-infrastructure-engineer", "location": "New York, NY, US", "type": "Full-time", "role": "Engineering", "role_type": "Backend", "salary_range": "$170K - $220K", "equity_range": "", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [] } ], "news": [ { "title": "What Y Combinator's Latest Batch Reveals About The Future", "url": "https://www.forbes.com/sites/dariashunina/2026/06/04/what-y-combinators-latest-batch-reveals-about-the-future/", "date": "Jun 03, 2026" } ], "launches": [ { "id": 102015, "title": "KelAI - Autonomous AI research engine for hedge funds", "tagline": "An agentic AI platform that turns hedge fund research into a compounding system.", "body": "**TL;DR**\n\nKelAI is an AI research engine for hedge funds and institutional investors. It captures the full investment research process in one platform and runs it autonomously, from idea generation to data analysis, backtesting, validation, monitoring, and PM feedback.\n\nI spent six years at WorldQuant managing a large systematic equity book, and before that led machine learning at Millennium Management. I saw firsthand how hedge fund research is constrained by human throughput and lost context. Teams can only explore so many ideas, and much of what they learn gets scattered across siloed systems. I am building KelAI because I lived this problem.\n\nKelAI uses AI agents to turn research into a continuous loop, while keeping every new idea grounded in the fund’s knowledge base.\n\n[](https://www.youtube.com/watch?v=GyqGwltsNjk)\n\n**The Problem**\n\nHedge funds scale with research capacity, but scaling with headcount is expensive and hard.\n\nEvery PM wants more ideas tested, more datasets explored, more hypotheses validated, and more live signals monitored. But even great teams are limited by human bandwidth.\n\nAt the same time, the knowledge they gather is fragmented:\n\nA PM has an idea in a meeting.\n\nA researcher backtests it in their research environment.\n\nA test fails for a useful reason.\n\nA signal works in one universe but not another.\n\nA live model decays.\n\nA risk constraint evolves.\n\nA CIO gives feedback.\n\nThese are all valuable sources of information, but they live across emails, notebooks, chats, dashboards, backtests, meetings, and memory. Most of that context gets lost. Teams repeat work, miss old lessons, and lose institutional knowledge when people move on.\n\n**The Solution**\n\nKelAI unifies the research loop into one continuous workflow, empowering institutional investors with an AI research team they can scale on demand, while capturing the full context so every cycle improves the next one.\n\nIt connects to a fund’s data, mandate, universe, risk rules, and research history. \\\nThen AI agents run the full research process autonomously:\n\n\\- Generate trading signal ideas.\n\n\\- Write and test research code.\n\n\\- Analyze market, fundamental, proprietary, and alternative data.\n\n\\- Run backtests and validation.\n\n\\- Track why ideas worked or failed.\n\n\\- Monitor live signal performance.\n\n\\- Learn from PM feedback and prior research.\n\nKelAI does not remove humans from the loop. PMs still manage the portfolio and own the decisions. \n\n**Why Now**\n\nAI agents can now do more than answer questions. They can write code, query data, run long workflows, test hypotheses, and keep context across repeated research cycles.\n\nThat matters in hedge funds because alpha is not just one idea. It is the process of finding, testing, improving, rejecting, and combining many ideas over time.\n\nKelAI turns that process into software.\n\n**Why Us**\n\nThe hard part is not saying \"AI for hedge funds.\" The hard part is knowing how hedge fund research really works.\n\nI built KelAI from experience. I managed a large systematic equity book at WorldQuant, worked on machine learning at Millennium Management and worked on data engineering at SolveBio.\\\nI have spent my career building systems that turn data into decisions.\n\nKelAI is designed around the real workflows of institutional investors: data rights, IP boundaries, risk limits, research output, reporting language, and portfolio manager preferences.\n\n**Traction**\n\nKelAI has been deployed with an institutional investor, and its signals have been running since October 2025, demonstrating that it delivers valuable alpha in production. KelAI also has commitments from prominent institutional players and is in active conversations with several large hedge funds and financial institutions.\n\n**Ask**\n\nIf you run capital, research, data, or innovation at a hedge fund or institutional investment firm, I would love to talk.\n\nWe are also hiring senior ML engineers and quant engineers who want to build the autonomous research engine for markets.\n\nEmail us at [contact@kelaicapital.com](mailto:contact@kelaicapital.com).\n\nFor job applications visit ", "url": "https://www.ycombinator.com/launches/QXP-kelai-autonomous-ai-research-engine-for-hedge-funds", "votes": 43, "created_at": "2026-05-27T13:24:07.670Z" } ] }, { "id": 31420, "name": "Kimpton", "slug": "kimpton", "former_names": [ "Kimpton AI" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/dc55a7e4190cac127494553294ea19379fdf8fc3.png", "website": "https://kimpton.ai", "all_locations": "New York City, NY, USA; Remote", "long_description": "In investment management, every decision gets graded. The market prints the answer on a date known in advance, and nobody gets to argue with it.\r\n\r\nKimpton is financial AI that answers to reality. Kimpton OS is the AI-native operating system for investment teams: it does the research and hands PMs structured trades. EarningsBench is a public benchmark where models forecast quarterly earnings before companies report and the reported numbers do the scoring. Koliseum is the set of point-in-time financial environments we build from that work, for labs to train and evaluate models on.\r\n\r\nThe whole industry is fighting underperformance. Active managers trail their benchmarks, and capital keeps bleeding into passive. AI was supposed to fix that, but it hasn't. Funds either stitch together a dozen point tools or babysit general agents all day, and neither gets them to the trade.\r\n\r\nKimpton OS goes straight to it. It ingests a fund's mandate, strategy, and positions, connects to the institutional data the fund already runs on, and returns a structured trade proposal built for that fund. It's built to disagree, because consensus is poison for investment decisions. Instead of telling a PM what they want to hear, it surfaces the breaches and risks they'd otherwise miss.\r\n\r\nThat same work is how we grade AI. Static benchmarks leak into training data. Simulations reward what their authors imagined. A forecast sealed before the outcome exists and scored when the company reports can't be rehearsed or backdated. We started in markets because they're the one place reality answers on schedule.\r\n\r\nWe're two ex-Goldman engineers and an ex-SpaceX engineer. We left to start our own quantitative systematic hedge fund, raised $10M from a family office at 21 and 22, and scaled it to $35M over four years. We learned to trust live results over historical fit. We built Kimpton inside that fund, then productized the stack.\r\n\r\nWe're live with our first institutional client, a $3.3B manager. Our first market is fundamental equity funds from $1B to $10B, and the labs that need to know whether their models can do this work.", "one_liner": "Live Evaluation Arenas for Financial Work", "team_size": 5, "industry": "Fintech", "subindustry": "Fintech -> Asset Management", "launched_at": 1774039716, "tags": [ "B2B", "Investments", "Trading", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Spring 2026", "status": "Active", "industries": [ "Fintech", "Asset Management" ], "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/kimpton", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2026/kimpton.json", "year_founded": 2025, "city": "New York City", "country": "US", "linkedin_url": "https://www.linkedin.com/company/kimptonai/", "x_url": "https://x.com/KimptonAI", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/dc55a7e4190cac127494553294ea19379fdf8fc3.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/c05d88c003c84f66eaf06c1307a17c8a6414383c.png", "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/0d617461c065ef1783493363bb0e3ba302b96fcf.png" ], "primary_partner": { "name": "Aaron Epstein", "url": "https://www.ycombinator.com/people/aaron-epstein" }, "founders": [ { "user_id": 3054189, "full_name": "Jack Zumwalt", "title": "Founder/CEO", "founder_bio": "Co-founder, CEO @ Kimpton AI (YC P26). Building live evaluation arenas for financial work.\n\nJack ran systematic strategies and managed daily operations of Level III Capital, a quantitative systematic trading firm he co-founded after raising $10M to seed the fund at the age of 22.\n\nPrior to that, he was a detection engineer at Goldman Sachs, writing algorithms to detect malicious threat actors who were trying to cyber attack the investment bank. ", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/jack-zumwalt/", "x_url": "https://x.com/jackzumwalt", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/a585e8e607ecb06564580ecac15424b2a6689fa9.jpg" }, { "user_id": 3486330, "full_name": "Adrian Del Bosque", "title": "Founder/Founding Engineer", "founder_bio": "Co-founder, Founding Engineer @ Kimpton AI (YC P26). Building live evaluation arenas for financial work.\n\nAdrian was a founding engineer at Level III Capital, a quantitative systematic trading firm, where he built the trading infrastructure. Prior to that, he was a Senior Cloud & Platform Engineer at Vistra, managing the cloud infrastructure behind the monitoring application for its 44,000 megawatt power generation fleet. He began his career at SpaceX as part of the Automation & Controls team.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/adriandelbosque/", "x_url": "https://x.com/adriandelb", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/7170a9e1b4b9407448c4642c76bf9282ed68d3ff.jpg" }, { "user_id": 3193138, "full_name": "Mauricio Ortiz", "title": "Founder/CTO", "founder_bio": "Co-founder, CEO @ Kimpton AI (YC P26). Building live evaluation readings for financial work.\n\nMauricio oversaw the entire technical implementation of the investment process, from research to trade execution, at Level III Capital, a quantitative systematic trading firm he co-founded after raising $10M to seed the fund at the age of 21.\n\nPrior to that, he was part of the critical infrastructure team at Goldman Sachs which handled systems for its consumer bank and the Apple Card. ", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/ortizmauricio01/", "x_url": "https://x.com/ortizmauricio_", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/b89b45ec14d8f2262c93fd6385c2635f6e1ccb59.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 117920, "title": "EvalRouter by Kimpton: One API for AI evaluation", "tagline": "Evaluate any model against any benchmark", "body": "\n![uploaded image](/media/?type=post&id=117920&key=user_uploads/3054189/67ffcd7e-40fd-40ff-81ad-cacb271d97b1)\n\nWe’re Jack, Mauricio, and Adrian, the founders of Kimpton (YC P26). Today we’re introducing **EvalRouter**.\n\nOne API for evaluating any model against any benchmark.\n\n\n\nWe built it because running an evaluation still means setting up a harness, provisioning sandboxes and babysitting long jobs. Model builders need to repeat this work as their models change and they add new benchmarks.\n\nWith EvalRouter you name a model and a benchmark and get graded results back. Choose a managed model or connect your own endpoint, select a benchmark version and set a spending cap. EvalRouter runs the evaluation and returns the results with the recorded answers and execution details. You can inspect what happened and export the report.\n\nCheckout the demo:\n\n\n\nBefore Kimpton, we built and ran a quantitative fund together. Mauricio and I previously worked at Goldman Sachs, and Adrian worked at SpaceX and Vistra. We raised $10M from a family office, built our own research and automated trading systems, and scaled the fund to $35M in assets. At Kimpton, we’ve been building benchmarks and environments to evaluate AI models. EvalRouter makes those evaluations accessible through one API.\n\nRun your next evaluation at . If you build models or maintain a benchmark, we’d like to hear from you. Reach us at [founders@kimpton.ai](mailto:founders@kimpton.ai).", "url": "https://www.ycombinator.com/launches/Ufw-evalrouter-by-kimpton-one-api-for-ai-evaluation", "votes": 6, "created_at": "2026-10-01T21:50:20.304Z" }, { "id": 113565, "title": "Koliseum by Kimpton, Live Evaluation Arenas for AI Models", "tagline": "Real-world market interaction environments, starting with financial markets", "body": "Today we're launching **Koliseum** by [Kimpton](https://bookface.ycombinator.com/company/31420), live evaluation arenas for AI models in financial work.\n\n**The problem**\n\nStatic benchmarks are contaminated soon after publication, and simulations reward the assumptions their designers encode. \n\nThis simply isn't acceptable in finance or any other professional industry. A wrong answer or action can be catastrophic and reality eventually shows whether the claim was right. Almost no evaluation waits to find out.\n\n**Koliseum**\n\nBefore Kimpton, we ran a quantitative fund. Backtests never proved alpha; live markets did. Koliseum applies the same test to models: a model commits inside an arena, the record is sealed, and reality supplies the grade.\n\nTwo kinds of arenas:\n\n* **Prediction Arenas** seal a forecast before the outcome exists and score it against consensus, market, and statistical baselines when reality resolves.\n* **Action Arenas** give a model a bounded task and real tools, then verify success from the resulting system state.\n\n![uploaded image](/media/?type=post&id=113565&key=user_uploads/3054189/789d031b-cca8-4596-8921-dbc9f1544cb4)\n\nThe first Prediction Arena is already running. **EarningsBench** seals earnings forecasts for public companies 24 hours before each release and scores them against consensus and a statistical baseline once results are public.\n\nTwo things are already clear: most open-weight models reproduce consensus exactly, and a simple statistical baseline is harder to beat than a leaderboard alone would suggest.\n\nAlong with these developments, we are introducing a new concept in evaluation: **reality-as-a-judge**.\n\n![uploaded image](https://bookface.ycombinator.com/media/?type=post&id=113565&key=user_uploads%2F3054189%2Fc6c1ba2c-4e77-4ebc-be71-675f0abd71a6&variant=large)\n\nMost open-ended evaluations are graded by another model or by a human rubric, so the score inherits the grader's assumptions. In reality-as-a-judge, the grader is the outcome itself.\n\n[More info on Koliseum](https://www.kimpton.ai/koliseum)\n\n[Methodology](https://www.kimpton.ai/methodology)\n\n**Our ask**\n\nReach out if:\n\n* You work on post-training or evals at a lab and want your model in the first private cohort. Results stay private unless you publish them.\n* You run a trading firm or a prediction venue and want models scored on your own resolving questions, or want to co-run a public arena.\n* You have a workflow (any industry!) with a verifiable end state and want it turned into an Action Arena.\n\nor know anyone who does.\n\nWrite to us at [founders@kimpton.ai](mailto:founders@kimpton.ai). Thanks for the support!", "url": "https://www.ycombinator.com/launches/TXh-koliseum-by-kimpton-live-evaluation-arenas-for-ai-models", "votes": 3, "created_at": "2026-09-02T16:01:08.067Z" }, { "id": 102078, "title": "Kimpton: Cursor for portfolio managers", "tagline": "AI-native terminal where agents do the research and propose the trades", "body": "**TL;DR** AI can’t trade, but portfolio managers can. Kimpton combines high-resolution public financial markets data, portfolio manager strategy/mandate, portfolio holdings, and transaction data to generate trade ideas for managers.\n\n\n\n**Our Background**\n\nWe are former Goldman Sachs and Vistra Energy engineers who started a quantitative hedge fund together in 2021 after raising $10M from a family office at the ages of 22 and 21 years old, scaling it to $35M at its peak.\n\nWe spent four years systematically trading using the tools that we built in-house to support our systems. Internally, we developed Kimpton to automate many of our own workflows.\n\n![uploaded image](/media/?type=post&id=102078&key=user_uploads/3054189/7f252d74-65d7-4557-92f0-59383e3a782a)\n\n**The Problem**\n\nAI can’t trade. After all, LLMs are the most overfit backtest in all of human history. They are consensus machines and sycophantic by nature. As a result, AI goes largely unused by portfolio managers today.\n\nAgents finally had depth in 2025. We tested LLMs on the markets and were unimpressed with the output. LLMs can’t trade because they are consensus machines and sycophantic by nature. They lack the edge that portfolio managers provide.\n\nAI can’t trade like a portfolio manager, but they can research at 100X the efficiency of an investment analyst. For this reason, Kimpton revolves around the portfolio manager, solving increasingly all of the workflows that they need.\n\nAnalysts spend weeks aggregating data and synthesizing it to generate singular trade ideas that are passed up to portfolio managers for review. It’s time for a change.\n\nInvestment management is built on the idea that analysts and PMs need to spend their days staring at screens all day to find edge in the markets. \n\nTo refactor the investment management industry, we can’t simply provide better tools. We have to automate the entire research layer instead.\n\n**The Solution**\n\nKimpton automates the analysis layer by securely ingesting firm-wide context, portfolio, and transaction data to synthesize fully-formed trade recommendations fitted to their portfolio.\n\nPortfolio managers can challenge the results of the trade proposals through a process we call Adversarial Review, an agentic Socratic questioning to assist portfolio managers in coming to their own conclusions.\n\n![uploaded image](/media/?type=post&id=102078&key=user_uploads/3054189/62ecf56b-91f8-4c4d-a883-6a8be7df6108)\n\nWe developed a harness specifically for the financial markets to make aggregation efficient, fast, and accurate. It has access to high-quality institutional data sources through Factset, Massive, and Tiingo. Real-time data on tens of thousands of global assets across equities, ETFs, indices, insider trades, SEC filings, events, transcripts, company fundamentals, corporate leadership, and more!\n\nOur AI agents also provide portfolio managers with the ability to generate many different types of artifacts, such as real-time dashboards, institutional-grade reports, and comprehensive visualizations.\n\n**Traction**\n\nKimpton is deployed and generating trade proposals on billions of dollars of assets under management today.\n\nPortfolio managers are using Kimpton to monitor their exposures, understand investment thesis drift, earnings coverage, manage positioning across teams, investor reporting, and as an investment team collective brain.\n\nPortfolio managers are underserved today when the potential to refactor the way they work is massive. Kimpton is focused on improving the lives portfolio managers who are actively making decisions in the public markets.\n\n**Ask**\n\nIf you know anyone who manages assets a hedge fund, family office, mutual fund, ETF manager, or other public markets manager — we’d love to speak with them.", "url": "https://www.ycombinator.com/launches/QYQ-kimpton-cursor-for-portfolio-managers", "votes": 9, "created_at": "2026-05-28T07:12:24.038Z" } ] }, { "id": 31464, "name": "Soria", "slug": "soria", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/05b2506991797891dcda24e0fe6be2c7f7a60423.png", "website": "https://www.soriaanalytics.com/", "all_locations": "New York City, NY, USA", "long_description": "Soria is an AI-native Financial Terminal for investors who specialize in a particular sector, starting with healthcare. Our agents convert hundreds of the most important public and private sources into an always-on financial model, reviewed by domain experts and delivered to hedge funds, banks, and asset managers through a terminal UI, MCP, API, warehouse sync, and research feed. Unlike our competitors, we own the data layer and expand bottom-up, one sector at a time - additionally our agents proactively do research on behalf of our clients without them lifting a finger or sharing any data.", "one_liner": "AI Financial Research Terminal built for Healthcare (and beyond)", "team_size": 3, "industry": "Fintech", "subindustry": "Fintech -> Asset Management", "launched_at": 1779835583, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Spring 2026", "status": "Active", "industries": [ "Fintech", "Asset Management" ], "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/soria", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2026/soria.json", "year_founded": 2025, "city": "New York City", "country": "US", "linkedin_url": "", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/05b2506991797891dcda24e0fe6be2c7f7a60423.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": 1865223, "full_name": "Adam Ron", "title": "Founder/CEO", "founder_bio": "Adam led coverage of the healthcare sector Soria covers today at Bank of America, and advised 100s of hedge funds on how to invest in the industry. He went to Rutgers, and while there started his first company when he was 18 (GoPuff competitor).", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/adammron", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/66b9952ede5ab5722848b0c42a316469a5cd2ce9.jpg" }, { "user_id": 2983501, "full_name": "Cameron Spiller", "title": "Founder/CTO", "founder_bio": "Cameron was the first engineer at Petal and Pinwheel scaling them to $500M-$1B in valuation. He later served as a startup CTO and advisor to multiple early‑stage startups.\n\nCameron went to Virginia Tech, and at 12 he started his first company in computer repair and data recovery.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/cameron-spiller-b316b850/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/b0c0d910948d7ff7ac50b8db73e0d4c270ef23e0.jpg" } ], "jobs": [ { "id": 102958, "title": "Founding Engineer", "url": "https://www.ycombinator.com/companies/soria/jobs/tEHmSjy-founding-engineer", "location": "New York, NY, US", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$150K - $175K", "equity_range": "2.50% - 5.00%", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] } ], "news": [], "launches": [ { "id": 102043, "title": "Soria: AI-native Financial Terminal for Healthcare (and beyond)", "tagline": "The only financial research terminal built for sector specialists", "body": "**_TL;DR:_** Soria is an AI-native Financial Terminal for investors who specialize in a particular sector, starting with healthcare. Our agents convert hundreds of the most important public and private sources into an always-on financial model, reviewed by domain experts and delivered to hedge funds, banks, and asset managers through a terminal UI, MCP, API, warehouse sync, and research feed. Unlike our competitors, we own the data layer and expand bottom-up, one sector at a time - additionally our agents proactively do research on behalf of our clients without them lifting a finger or sharing any data.\\\n\\\n\n\nToday [**Cameron Spiller**](https://www.linkedin.com/in/cameron-spiller-b316b850/) and I are excited to launch **Soria**, an AI research terminal built specifically for healthcare investors in public markets.\n\nI spent 8 years as a VP in Equity Research at Bank of America covering healthcare and serving hundreds of hedge fund, private equity, and VC clients. Soria is the platform I always wished I had. Cameron is a serial founding engineer and CTO who has spent the last decade building fintech startups, always from <5 people all the way to billion dollar plus outcomes.\n\nIn addition to YC we are backed by the founders of GLG, as well as other industry insiders, and we recently won BattleFin’s #1 New Data Vendor award. **We already serve teams at many of the largest banks, hedge funds, and asset managers in the world, managing >$1T in assets**. Our users are fundamental equity analysts, often people who have spent years or decades covering healthcare.\n\nThe core problem is simple: the research process is still too manual, time-intensive, error-prone, and fragmented. Analysts waste up to 1/3 of their time doing repetitive work that doesn’t even generate alpha. Meanwhile, most solutions including Bloomberg are too generalized, they offer almost nothing relevant to healthcare or other domain specific verticals.\n\nSoria ingests the most important public and private sources healthcare analysts actually care about, structures them into an always-updated sector model. Pre-AI the domain context just didn’t scale.\n\nWe are differentiated in three critical ways:\n\n**1. Soria is proactive. It’s like an OpenClaw agent that you don’t have to set up.**\n\nThere is **zero setup**. From day one, analysts receive updates on the most important data points, curated and reviewed by actual research analysts. Every day we add more sources, and the model gets better without users needing to configure or maintain anything.\n\n**2. Soria requires no data sharing.**\n\nWe do not need to integrate into a bank or fund to be useful. We build the research and data layer ourselves, then deliver the **output** however the customer wants it: terminal UI, MCP, API, warehouse sync, or email.\n\n**3. Soria builds coverage one sector at a time.**\n\nMost AI finance tools help analysts work faster, but still leave the job of sector coverage to the analyst. Soria can do that work upfront because we are hyper-specialized.\n\nFor healthcare services teams, Soria can consolidate $200k+ of annual vendor spend across products like Milliman, HMA, Mark Farrah, AHD, Daloopa, FactSet, and NAIC, while also absorbing a large portion of the repetitive associate-level data work that doesn’t scale.\n\nThat’s just the first sector, there are 228 globally. Our vision: as we build out each sector, we consolidate it into a model of healthcare, the US and eventually the world.", "url": "https://www.ycombinator.com/launches/QXr-soria-ai-native-financial-terminal-for-healthcare-and-beyond", "votes": 37, "created_at": "2026-05-28T00:48:50.381Z" } ] }, { "id": 32257, "name": "Spectre Intelligence", "slug": "spectre-intelligence", "former_names": [ "Spectre Capital" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/dd275e68bdab3f73081986be229ec8d9f1423ae5.png", "website": "https://www.spectreintelligence.ai", "all_locations": "San Francisco, CA, USA", "long_description": "Spectre Intelligence is a neotrading firm. We create AI traders instead of hiring human ones. Currently trading semis + bio.", "one_liner": "We are a multi-strategy trading firm that trains AI traders. ", "team_size": 2, "industry": "Fintech", "subindustry": "Fintech -> Asset Management", "launched_at": 1787421048, "tags": [ "Biotech", "Investing", "Trading", "Semiconductors" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2026", "status": "Active", "industries": [ "Fintech", "Asset Management" ], "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/spectre-intelligence", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2026/spectre-intelligence.json", "year_founded": 2026, "city": "San Francisco", "country": "US", "linkedin_url": "https://linkedin.com/company/spectre-intelligence-ai", "x_url": "https://x.com/spectreintellig", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/dd275e68bdab3f73081986be229ec8d9f1423ae5.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Ankit Gupta", "url": "https://www.ycombinator.com/people/ankit-gupta" }, "founders": [ { "user_id": 1251785, "full_name": "Michelle Li", "title": "Founder/CEO", "founder_bio": "Co-founder and CEO at Spectre Intelligence, on leave from Harvard (I studied Economics & Biology and was originally class of '27). Previous research across generative protein language models, bacteriophages, CRISPR Cas9, and more. ISEF grand award winner, RSI and STS scholar.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/michelle-zhiya-li/", "x_url": "https://x.com/michellezli", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/6eacc1c85541c9e6f7a907d66e8c4b4d53136b3b.jpg" }, { "user_id": 2574740, "full_name": "Joshua Zyzak", "title": "Founder/CTO", "founder_bio": "Founder at Spectre Capital, CS and EE at Harvard, researched deep-RL controllers for quadruped robots and multimodal LLM-robotics", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/josh-zyzak/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/3a94186fa13fa1983bac60969d2c2ddafff69b21.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 112001, "title": "Spectre Intelligence - a neotrading firm", "tagline": "We're an AI trading research firm, currently in semiconductors and biotech.", "body": "TL;DR: Spectre Capital is a multi-strategy trading firm run by AI agents, not human analysts. We deploy real capital to capture every decision, reasoning trace, and ground-truth outcome, so our agents learn and compound from every mistake. Most AI trading labs pay egregious amounts for training data. Ours pays us when we win.\n\nWe left Harvard after starting a hedge fund from our college dorm (go Currier!).\n\nNow we’re building Spectre Intelligence, a neotrading firm training superhuman AI traders. \n\n**The problem**\n\nIntelligence is getting cheaper, and it will rewire trading. But the scarcest input to markets isn't compute or data feeds or latency, but rather judgment. That data is fragmented, scarce, and the foundation of entire careers. It is also entirely proprietary and guarded fiercely by firms.\n\n**What we do**\n\nWe collect judgment by trading live. Every position our agents take generates decisions, full reasoning traces, and ground-truth P&L. We think this is the ultimate alignment of incentives in one of the largest TAMs in the world.\n\nThe structure is evolutionary from first principles: open competition inside each pod, and strategies and pods are born and killed constantly. \n\nUnlike a traditional pod shop, spinning up a new pod costs compute, not headcount. Our agents work superhuman hours, monitor a superhuman number of things, and learn from every real and simulated trade. Our AI traders develop specialized strategies in parallel, allowing us to scale far beyond the limits of human bandwidth. This is an edge that scales, compounds, and isn't held by any one employee.\n\n**Traction**\n\n\\- Two live pods: semiconductors and biotech equities. (We picked the verticals, not our AI traders.)\n\n**Why now?**\n\nAI is the worst it will ever be, LLM traders aren't even good yet, but we believe the writing is on the wall and want to be on the frontier. Quant funds were arguably the first agent labs: ML theory embedded for decades, quants as very expensive agents. We're building the generation after.\n\n**The ask**\n\nIf any of this resonates, feel free to reach out: michelle@spectreintelligence.ai\n\nWe’re also collecting an expert network across semis + biotech, so if you have experience, feel free to join at ", "url": "https://www.ycombinator.com/launches/T8T-spectre-intelligence-a-neotrading-firm", "votes": 5, "created_at": "2026-08-24T15:47:00.614Z" } ] }, { "id": 33048, "name": "Pennant", "slug": "pennant", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/7fbb4be6497bcd38a1210a0561cf3eb84422ab32.png", "website": "https://www.getpennant.ai", "all_locations": "New York City, NY, USA", "long_description": "Led by former institutional proxy voters and technologists with a collective 20+ years of experience, Pennant gives institutional investors, public companies, and corporate advisors voting and governance intelligence to act on their own principles at scale.", "one_liner": "The World Model for Corporate Governance", "team_size": 2, "industry": "Fintech", "subindustry": "Fintech -> Asset Management", "launched_at": 1786584832, "tags": [ "Fintech", "Investing", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Summer 2026", "status": "Active", "industries": [ "Fintech", "Asset Management" ], "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/pennant", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2026/pennant.json", "year_founded": 2026, "city": "New York City", "country": "US", "linkedin_url": "https://www.linkedin.com/company/pennant-ai", "x_url": "https://x.com/pennant_ai", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/7fbb4be6497bcd38a1210a0561cf3eb84422ab32.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/642317534b66a99aea64b59d023b97471b2e61fe.png", "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/5dd4ad2aebecc8b69db01a98a2fc2aa9ffedb2e8.png" ], "primary_partner": { "name": "Brad Flora", "url": "https://www.ycombinator.com/people/brad-flora" }, "founders": [ { "user_id": 3388610, "full_name": "Ryan Nowicki Stewart", "title": "Founder/CEO", "founder_bio": "Co-Founder at Pennant. 10+ years asset management, proxy voting & shareholder activism industry experience across PJT, State Street and BlackRock. Palantir Startup Fellowship Cohort 002. Cornell U. Economic Club of NY. Hoover Institution.\n\n\n", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/ryan-nowicki-stewart/", "x_url": "https://x.com/rywicks", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/2ce9a1682e6222638bce37b0d89bdf0e78b7aeb8.jpg" }, { "user_id": 473596, "full_name": "Tomas Taylor", "title": "Founder/CTO", "founder_bio": "Co-Founder at Pennant. Previously PM at BlackRock. Founded Mindware, an agent tooling infrastructure startup, before MCP. Also co-founded ClawCon, the fastest-growing community for Personal AI.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/tomastaylor", "x_url": "https://x.com/0xtotaylor", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/cf9b1177e1c0378455a6b6503c630ed7aed90706.jpg" } ], "jobs": [ { "id": 111722, "title": "Founder Fellow - GTM, Growth & Strategy", "url": "https://www.ycombinator.com/companies/pennant/jobs/21lflHF-founder-fellow-gtm-growth-strategy", "location": "New York, NY, US", "type": "Internship", "role": "Sales", "role_type": null, "salary_range": "", "equity_range": "", "experience": null, "visa": "US citizen/visa only", "skills": [ "Data Analytics", "Figma", "Evals", "AI Agents", "AI Safety", "Generative AI" ] }, { "id": 111727, "title": "Founder Fellow - Applied AI", "url": "https://www.ycombinator.com/companies/pennant/jobs/eUFGOW1-founder-fellow-applied-ai", "location": "New York, NY, US", "type": "Internship", "role": "Engineering", "role_type": "AI engineer", "salary_range": "", "equity_range": "", "experience": null, "visa": "US citizen/visa only", "skills": [ "Google Cloud", "Node.js", "PostgreSQL", "Python", "TypeScript", "SQL", "Prompt Engineering", "LLMs", "Evals", "AI Agents", "BigQuery", "Generative AI", "OpenAI", "LangSmith" ] }, { "id": 111752, "title": "Founding Engineer, Data & AI", "url": "https://www.ycombinator.com/companies/pennant/jobs/z6mIB9W-founding-engineer-data-ai", "location": "New York, NY, US", "type": "Full-time", "role": "Engineering", "role_type": "Backend", "salary_range": "$150K - $250K", "equity_range": "0.25% - 1.50%", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [ "Go", "Google Cloud", "Kubernetes", "Node.js", "PostgreSQL", "Python", "TypeScript", "SQL", "Docker", "ETL", "gRPC", "Terraform", "LLMs", "AI Agents", "LangChain", "BigQuery", "Generative AI", "NestJS", "OpenAI", "LangSmith", "Datadog" ] }, { "id": 111753, "title": "Founding Engineer, Product", "url": "https://www.ycombinator.com/companies/pennant/jobs/Y5USzcY-founding-engineer-product", "location": "New York, NY, US", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$150K - $250K", "equity_range": "0.25% - 1.50%", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [ "Google Cloud", "Node.js", "PostgreSQL", "React", "TypeScript", "SQL", "Next.js", "LLMs", "AI Agents", "Generative AI", "NestJS", "Vercel", "Playwright", "OpenAI", "LangSmith", "Datadog" ] } ], "news": [ { "title": "EP28: Proxy Voting Is Always On: Pennant’s Ryan Nowicki Stewart on AI-Native Proxy Voting", "url": "https://www.thefundaipod.com/episodes/episode/33ed71e2/ep28-proxy-voting-is-always-on-pennants-ryan-nowicki-stewart-on-ai-native-proxy-voting", "date": "Oct 13, 2026" }, { "title": "AI tools emerging in proxy voting - Pensions & Investments", "url": "https://www.pionline.com/technology-innovation/artificial-intelligence/pi-ai-tools-emerging-proxy-voting/", "date": "Oct 04, 2026" }, { "title": "START: Ryan Nowicki Stewart, CEO & Co-Founder, Pennant: \"The Corporate Governance OS for Public Markets\" | Fondo", "url": "https://fondo.com/blog/start-ryan-nowicki-stewart?utm_term=ryan-nowicki-stewart-pennant&utm_campaign=10061329-Startup%20Growth%20Podcast&utm_content=386749028&utm_medium=social&utm_source=twitter&hss_channel=tw-1843505047692554240", "date": "Sep 30, 2026" }, { "title": "Boardroom Governance - Ryan Nowicki Stewart", "url": "https://podcasts.apple.com/in/podcast/ryan-nowicki-stewart-ceo-pennant-ai-ai-proxy-voting/id1513064579?i=1000792196213", "date": "Sep 29, 2026" }, { "title": "Cornell University: Successful Alumni Who Founded Startups - TechRound", "url": "https://techround.co.uk/startups/cornell-university-successful-alumni-who-founded-startups/", "date": "Sep 25, 2026" } ], "launches": [ { "id": 110156, "title": "Pennant - The Corporate Governance OS for Public Markets", "tagline": "AI-native proxy voting and governance intelligence, built by the team who used to do it by hand.", "body": "**TL;DR:** Pennant is building AI-native proxy voting solutions for institutional investors, public companies, and their advisors. We’re live with paying enterprise customers, including one of the largest US public pension plans, a Top AmLaw 100 firm, and leading governance advisors. Before Pennant, our team built trillion-dollar tech at BlackRock, cast proxy votes at State Street, and advised Fortune 100 boards at PJT.\\\n\\\n[https://drive.google.com/file/d/1_WDs1VB213EcPS5caE5XK7L6UkZLz07l](https://drive.google.com/file/d/1_WDs1VB213EcPS5caE5XK7L6UkZLz07l/preview)\n\n**The problem:** Proxy voting at publicly traded companies drives trillions in market value every year. Shareholder votes decide $100B mergers, trillion-dollar pay packages, and the boardroom battles that define companies.\n\nYet the work is brutally manual: reviewing thousands of pages of SEC filings, research, and engagement notes that live in a patchwork of PDFs, spreadsheets, and post-it notes. And for professional advice, the market has relied on two firms, ISS and Glass Lewis, for 40+ years, a duopoly that controls 97% of the market.\n\n**Why Now:** Technological change and market sentiment are ripping this market wide open.\n\nCEOs have been sounding the proxy-advisor alarm for years:\n\n![uploaded image](/media/?type=post&id=110156&key=user_uploads/3388610/45604eff-9d48-4271-90ed-b3bf6000b461)\n\n![uploaded image](/media/?type=post&id=110156&key=user_uploads/3388610/a5232d8f-91b7-44bd-8116-f0d251b764d0)\n\nAnd now big investors and the White House are taking action.\n\n![uploaded image](/media/?type=post&id=110156&key=user_uploads/3388610/12da7f65-6e5c-4e57-b2d5-76c18fac1fcf)\n\n![uploaded image](/media/?type=post&id=110156&key=user_uploads/3388610/00e9661e-2b7e-414d-8c2c-f4d4f47b8b55)\n\n![uploaded image](/media/?type=post&id=110156&key=user_uploads/3388610/47c99681-6ca9-484b-ab33-102a4021cd92)\n\nJPMorgan is even building its own solution. But 99% of the investors, companies, and advisors we talk to don't want to own this themselves, or don't have the resources to. That's where Pennant comes in, and it's why we're winning business out of the gate.\\\n\\\n**Why Pennant is better:** Pennant isn't a better proxy advisor. We're building something bigger: the AI-native operating system for corporate governance, built by former proxy voters and technologists, a team that cast these votes and shipped the software at institutional scale.\n\nPennant gives institutional investors, and the advisors and companies they engage with, voting and governance intelligence to act on their own principles at scale. Legacy tools follow rigid rules; Pennant reasons through each ballot item, inbound email, and engagement question the way your team would, handling the clear calls and flagging the nuanced ones, keeping people in the driver's seat.\n\nAs one of our customers put it last week, “\\[incumbent xyz\\] can handle our routine stuff for another year, but we’re thrilled to use Pennant for the custom heavy-lifting that we’ve been wanting to do for a long time, and use you for everything from there.”\n\nPennant also serves the other side of the vote: public companies, law firms, and bankers who need to read their shareholder base and predict risk before the annual meeting. Same data, bigger market. The market at the intersection of investing and corporate governance is estimated at well over $200 billion, and it remains largely unserved by today's tools.\n\n**Traction:** Pennant is live with paying enterprise customers, including one of the largest US public pension plans, a Top AmLaw 100 firm, and leading governance advisors. We're partnered with a top global asset manager as a design partner and are actively engaged with S&P 500 companies. Before YC S26, Pennant was selected for Palantir's Startup Fellowship (Cohort 002).\n\n**Why us:** We've known each other for 15 years, since our undergrad days at Cornell, and started our careers on the same analyst desk at BlackRock building tech products for these exact customers. We have a rare pairing: direct industry experience as the customer, plus the engineering chops to ship fast and earn trust.\n\nAfter BlackRock, Ryan (CEO) was the customer for 6+ years, voting proxies at 3,000+ company meetings and advising Fortune 100 companies on how to win critical votes at PJT Partners. He used Glass Lewis and ISS every day.\n\nTommy (CTO) took the technical path, shipping products at BlackRock before earning his Harvard MBA and founding Mindware, where he built workflow-ready infrastructure for AI agents. He was building agentic AI before \"agents\" were hot, and Pennant is where his engineering background meets Ryan's proxy-voting expertise.\n\n**Our ask:** If you own or touch proxy voting as an investor, advisor, or public company, we want to talk: \n\nLearn more at [getpennant.ai](http://getpennant.ai)\n\n![uploaded image](/media/?type=post&id=110156&key=user_uploads/3388610/d8fefc8c-cf1c-4ef8-a175-f112644f9ca7)\n\n", "url": "https://www.ycombinator.com/launches/Sei-pennant-the-corporate-governance-os-for-public-markets", "votes": 19, "created_at": "2026-08-12T18:30:00.287Z" } ] }, { "id": 35291, "name": "Elimentary", "slug": "elimentary", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/5345725230878bce19968d49bf36c1acda691f77.png", "website": "https://www.elimentary.com", "all_locations": "New York City, NY, USA", "long_description": "Elimentary’s is building AI agents that can run middle/back-office operations for private capital managers, starting with structured credit. Most private capital managers focus primarily on sourcing and capital deployment. Meanwhile post-investment operations receive step-child treatment. While AUMs have increased exponentially over the last decade, operations continue to be painfully supported by humans using spreadsheets and emails. Things have started to break leading to investment write-offs, fines, penalties, and sometimes lost LP relationships. \r\n\r\nOur agents can run these operations (borrowing base calcs, cracking loan tapes, NAV calculations, etc.) end to end autonomously. For one of our customers, our agents cut a 20-hour ops process to 30 minutes. It saved 90% of the manual hours, translating to $150k in annual savings.", "one_liner": "Agents that run middle/back-office operations for Private Capital", "team_size": 5, "industry": "Fintech", "subindustry": "Fintech -> Asset Management", "launched_at": 1790147820, "tags": [ "FinOps", "Enterprise" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Fall 2026", "status": "Active", "industries": [ "Fintech", "Asset Management" ], "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/elimentary", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2026/elimentary.json", "year_founded": 2025, "city": "New York City", "country": "US", "linkedin_url": "https://www.linkedin.com/company/elimentary0/", "x_url": "https://x.com/elimentary_com", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/5345725230878bce19968d49bf36c1acda691f77.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Nicolas Dessaigne", "url": "https://www.ycombinator.com/people/nicolas-dessaigne" }, "founders": [ { "user_id": 2760758, "full_name": "Yogesh Gorjilla", "title": "Founder/CEO", "founder_bio": "Co-founder & CEO at Elimentary. Previously with UBS, Goldman Sachs and Flipkart. Built and scaled a Pay Later product to 10 million users and $1 billion in loan book. Extensive experience across Fintech, Credit and Capital Markets.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/yogeshgorjilla/", "x_url": "https://x.com/yogeshgorjilla", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/1123dc46fada21a132ee082bac897950e170688f.jpg" }, { "user_id": 2760773, "full_name": "Mannat Saini", "title": "Founder/CTO", "founder_bio": "Co-founder at Elimentary. Previously engineering @ Goldman Sachs, Jefferies, Oracle and Flipkart. Built and scaled multiple credit products to ~20 million users and $1 billion loan book.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/mannatsaini/", "x_url": "https://x.com/MannatSaini09", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/5c8ef7bd04ef6bdb1d92e2f5a9ad8545c78c363e.jpg" }, { "user_id": 3181292, "full_name": "Manoj Sarda", "title": "Founder/COO", "founder_bio": "Founder at Elimentary. Ex-founder at Skit.ai - voice AI automation for debt collection started in 2018. Led product at largest neo-bank of India - Jupiter.Money. IIT grad.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/manojsarda/", "x_url": "https://x.com/smr_rad", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/e4bb8ed4cfdb409be381c4c3905353c623cbdfce.jpg" } ], "jobs": [], "news": [], "launches": [] }, { "id": 35396, "name": "Oasive", "slug": "oasive", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/bc57ec29fb0414ace78c3d3c1e5d7acfef9c0c5c.png", "website": "https://www.oasive.ai", "all_locations": "San Francisco, CA, USA", "long_description": "Oasive helps bond investors figure out which bonds are rich or cheap, and why. We give portfolio managers, traders, analysts and investment advisers a team of AI analysts, combining fixed income research, proprietary quantitative models and scenario analysis to move from trade idea to decision in minutes. Our focus is Macro and Rates Research and MBS, with munis, ABS and corporates next.", "one_liner": "Helping bond investors find what's rich or cheap, and why", "team_size": 1, "industry": "Fintech", "subindustry": "Fintech -> Asset Management", "launched_at": 1789659235, "tags": [ "FinOps", "Fintech", "Investments" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Fall 2026", "status": "Active", "industries": [ "Fintech", "Asset Management" ], "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/oasive", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2026/oasive.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/oasive", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/bc57ec29fb0414ace78c3d3c1e5d7acfef9c0c5c.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Kulveer Taggar", "url": null }, "founders": [ { "user_id": 2395902, "full_name": "Anaïs Howland", "title": "Founder/CEO", "founder_bio": "Founder of Oasive, helping bond investors figure out which bonds are rich or cheap, and why. I worked on Wells Fargo's $350B MBS portfolio, then as a portfolio manager on Google Treasury's $17B MBS/ABS portfolio before leading product strategy across Google's consumer AI products. I'm building the fixed income platform I wished I'd had on the desk.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/anaishowland/", "x_url": "https://x.com/AnaisHowland18", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/729c1dab7d8a8a9375913ba8278cc998e0e56fda.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 116240, "title": "Oasive: Find better bonds to buy", "tagline": "See which bonds are rich or cheap and decide what to buy", "body": "**TL;DR: [Oasive](http://www.oasive.ai)** **helps bond investors find better bonds to buy. Compare investments and test trade ideas in minutes with proprietary models and a team of AI analysts.**\n\n\n\nHi, I'm Anaïs, founder of [Oasive](http://www.oasive.ai). I worked on Wells Fargo's $350B mortgage-backed securities (MBS) portfolio, then as a portfolio manager on Google Treasury's $17B MBS/ABS portfolio, before leading product strategy across Google's consumer AI products.\n\nI'm building [Oasive](http://www.oasive.ai) to help more fixed income investors find value and act on it.\n\n**The problem**\n\nFinding an attractive trade is only the start. Is it really cheap, what could change that, and does it improve the portfolio? Answering those questions means going back and forth between research, market data, models and spreadsheets.\n\n**What we built**\n\n[Oasive](http://www.oasive.ai) helps you uncover opportunities you might otherwise miss, compare investments and test the risks before putting on a trade. Macro and Rates Research and our MBS Platform are live today:\n\n* **Macro and Rates Research:** Which Treasury maturities look cheap, and is there a curve trade worth putting on? Use our proprietary valuation models to compare maturities, curve trades and butterflies. Check how many Fed cuts are priced in, dig into market moves and economic releases, and keep exploring with unlimited chats and follow-ups.\n* **MBS Platform:** Which MBS pools look attractive, and why? Use proprietary prepayment models and collateral analysis to spot relative value and test investment ideas. If rates fall 1%, what happens to your portfolio? Change rate and prepayment assumptions to see the impact on spreads, duration and value across your holdings.\n\n_Municipals, ABS, and corporates are next._\n\n[Oasive](http://www.oasive.ai) is already used across 15+ institutional desks at global banks, asset managers with $100B+ in AUM, and Fortune 500 treasury teams.\n\n**Try it**\n\nStart your Macro and Rates Research free trial or request an MBS demo at — free and paid plans available.\n\n**Our ask**\n\nKnow portfolio managers, traders or analysts on fixed-income desks? I’d love an introduction. Email [anais@oasive.ai](mailto:anais@oasive.ai)\n\n![uploaded image](/media/?type=post&id=116240&key=user_uploads/2395902/0db02b4c-6fd1-4d3d-b1cc-6c6df9dce469)\n\n", "url": "https://www.ycombinator.com/launches/UEq-oasive-find-better-bonds-to-buy", "votes": 18, "created_at": "2026-09-23T20:00:00.098Z" } ] }, { "id": 37203, "name": "Volaren Inc.", "slug": "volaren-inc", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/0e143f02ee81e74efcd4497792528526f512482b.png", "website": "https://www.volaren.ai", "all_locations": "New York City, NY, USA", "long_description": "Turning ideas into trades. Every great investment starts as an idea about the world. Institutions have teams of analysts turning those ideas into positions. Volaren is that team, processing data through fundamentals and quantitative models that can be personalized with AI.\r\n\r\nTurn your views into trades, portfolios, and back-testable frameworks and strategies, and Volaren stays with you from there, showing you what's actually driving each position and what it means for your next move.", "one_liner": "Turning Ideas into Trades. Volaren puts the hedge fund in the hands…", "team_size": 4, "industry": "Fintech", "subindustry": "Fintech -> Asset Management", "launched_at": 1789771499, "tags": [ "Fintech", "Marketplace", "Finance", "Creator Economy", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Fall 2026", "status": "Active", "industries": [ "Fintech", "Asset Management" ], "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/volaren-inc", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2026/volaren-inc.json", "year_founded": 2026, "city": "New York City", "country": "US", "linkedin_url": "https://www.linkedin.com/company/volaren-ai", "x_url": "https://x.com/volaren_ai", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/0e143f02ee81e74efcd4497792528526f512482b.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "David Lieb", "url": "https://www.ycombinator.com/people/david-lieb" }, "founders": [ { "user_id": 2699061, "full_name": "Akshat Mittal", "title": "Founder", "founder_bio": "Founder at Volaren Inc. Previously signal researcher on the Equity Alpha team at Goldman Sachs Asset Management. Developed alternative risk metrics and supported trading at Low Tide Capital Management. One of the first team members at David Protein, pre-launch, working on growth primarily. Studying Statistics and Economics at UChicago (top 5% of class). 2nd in international economics competition in high school.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/mittal-akshat", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/a8cb2dbd4aff6af7c4753f0c38b7fde2f43c4499.jpg" }, { "user_id": 3534379, "full_name": "Martin Pestana", "title": "Founder", "founder_bio": "Founder at Volaren Inc. \n- Previously at Goldman Sachs, Investment Banking Division.\n- Previously at AQR Capital Management in quantitative trading. \n- Applied Math and Economics at University of Chicago.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/martin-pestana/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/dd546aeacae8f950fb8624fbfba8e9e7fc2a9c30.jpg" } ], "jobs": [ { "id": 111785, "title": "Software Engineer", "url": "https://www.ycombinator.com/companies/volaren-inc/jobs/KfqM968-software-engineer", "location": "San Francisco, CA, US / Remote (US)", "type": "Full-time", "role": "Engineering", "role_type": "AI engineer", "salary_range": "$50K - $150K", "equity_range": "5.00%", "experience": "1+ years", "visa": "US citizen/visa only", "skills": [] } ], "news": [], "launches": [ { "id": 116145, "title": "Turning ideas into trades. Volaren: bringing the hedge fund to retail investors", "tagline": "Describe an investment thesis or strategy in plain English and Volaren's AI analysts research, build, and backtest it for you.", "body": "**TURNING IDEAS INTO TRADES**\n\n**TL;DR:** Volaren is putting a hedge fund in your pocket. You describe a thesis, a strategy, or a view of the world in plain English, and Volaren's AI analysts do the research, build it, and backtest it for you. Try it at .\n\nDEMO: \n\n**The problem**\n\nInstitutions turn a view of the world into real positions using teams of analysts and expensive tooling like Bloomberg and Capital IQ. Everyone else does it by hand, or does not do it at all. The data and the methods already exist, but nobody had built the product that puts them in the hands of small teams and active retailers investing their own money.\n\n**What Volaren does**\n\nYou tell Volaren a thesis, a strategy, or a view of the world in plain English, and its agents go do the research for you. They handle all the heavy lifting of the analysis, and they build it and backtest it across both fundamental work (models, comps, thesis building) and quantitative strategies (momentum, style factors, custom rules). You can delegate as much as you want and expand how much you take on, so you grow from a single investor or small team fund into an entire research team. You see every step and can change anything, so the judgment stays yours, and your work stays with you in one place you can keep building on.\n\n**Who we are**\n\nWe are Martin Pestana and Akshat Mittal, and we ran this exact process on the inside at Goldman Sachs and AQR. Volaren exists to give a person with real conviction and a real portfolio the leverage of a full research team.\n\n**Our ask**\n\nIf you invest your own money, run a small fund, or you know someone who does, try Volaren at . We would love your feedback, and you can reach us directly at [martin@volaren.ai](mailto:martin@volaren.ai) and [akshat@volaren.ai](mailto:akshat@volaren.ai).", "url": "https://www.ycombinator.com/launches/UDJ-turning-ideas-into-trades-volaren-bringing-the-hedge-fund-to-retail-investors", "votes": 7, "created_at": "2026-09-28T16:24:00.151Z" } ] } ]