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Our products are designed to help our customers scale volume without scaling headcount and grow faster.", "one_liner": "AI-native AML compliance platform for fintechs & banks", "team_size": 58, "industry": "B2B", "subindustry": "B2B", "launched_at": 1642412738, "tags": [ "Fintech", "B2B", "Compliance", "Regtech", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Winter 2022", "status": "Active", "industries": [ "B2B" ], "regions": [ "United States of America", "America / Canada", "Remote", "Partly Remote" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/flagright", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2022/flagright.json", "year_founded": 2021, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/flagright", "x_url": "https://twitter.com/FlagrightHQ", "fb_url": null, "cb_url": "https://www.crunchbase.com/organization/flagright", "github_url": "https://github.com/flagright", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/09c76f2c8efc3d34c7d5faf491ca2acdfa542fb7.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Tom Blomfield", "url": "https://www.ycombinator.com/people/tom-blomfield" }, "founders": [ { "user_id": 672295, "full_name": "Baran Özkan", "title": "Founder", "founder_bio": "Baran is co-founder and CEO of Flagright. He defines the product strategy at Flagright for making compliance & fraud prevention infrastructure more accessible for fintechs and banks. He has previously worked in various domains including healthcare, marketing, e-commerce, logistics, and most recently fintech. Baran is a Certified Anti Money Laundering Specialist (CAMS).", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/baranozkan/", "x_url": "https://twitter.com/bo_flagright", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/3902e3c84fed1a47d85c83924106cd84db472ebe.jpg" }, { "user_id": 595764, "full_name": "Madhu G Nadig", "title": "Founder", "founder_bio": "Madhu is co-founder and CTO of Flagright. He leads engineering and design, building the compliance & fraud prevention infrastructure for startups. He has previously worked in various domains including data analytics and integration for pharmaceuticals and social media marketing, core cloud computing infrastructure and real time systems for logistics & fintech. ", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/madhugnadig/", "x_url": "https://twitter.com/MadhugNadig", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/1aa218feaeac404179fd6299e34c7d78ca0a8f7b.jpg" } ], "jobs": [ { "id": 89323, "title": "Senior Enterprise Business Development Representative - London", "url": "https://www.ycombinator.com/companies/flagright/jobs/fh3C94A-senior-enterprise-business-development-representative-london", "location": "London, UK / Remote (US)", "type": "Full-time", "role": "Sales", "role_type": null, "salary_range": "", "equity_range": "", "experience": "5+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 94412, "title": "Head of Finance & Operations - San Francisco Bay Area", "url": "https://www.ycombinator.com/companies/flagright/jobs/gxz2iMc-head-of-finance-operations-san-francisco-bay-area", "location": "San Francisco", "type": "Full-time", "role": "Operations", "role_type": null, "salary_range": "", "equity_range": "", "experience": "5+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 94417, "title": "Senior Field Marketing Manager - London", "url": "https://www.ycombinator.com/companies/flagright/jobs/rwMfZet-senior-field-marketing-manager-london", "location": "London, UK / Remote (US)", "type": "Full-time", "role": "Marketing", "role_type": null, "salary_range": "", "equity_range": "", "experience": "5+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 94420, "title": "Senior Account Executive - US", "url": "https://www.ycombinator.com/companies/flagright/jobs/Z565VOt-senior-account-executive-us", "location": "Remote (US)", "type": "Full-time", "role": "Operations", "role_type": null, "salary_range": "", "equity_range": "", "experience": "5+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 94653, "title": "(Sr) Enterprise Account Executive - London", "url": "https://www.ycombinator.com/companies/flagright/jobs/2gjF3uA-sr-enterprise-account-executive-london", "location": "London, UK / Remote (US)", "type": "Full-time", "role": "Operations", "role_type": null, "salary_range": "", "equity_range": "", "experience": "5+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 94656, "title": "Marketing Associate Intern - Singapore", "url": "https://www.ycombinator.com/companies/flagright/jobs/VNxJzs3-marketing-associate-intern-singapore", "location": "Singapore, Singapore", "type": "Full-time", "role": "Marketing", "role_type": null, "salary_range": "", "equity_range": "", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] } ], "news": [ { "title": "Flagright Raises $4.3 Million in Seed Funding to Advance AI-Native AML Compliance and Risk Management Solutions", "url": "https://www.flagright.com/post/flagright-raises-4-3-million-in-seed-funding-to-advance-ai-native-aml-compliance-and-risk-management-solutions", "date": "Apr 01, 2025" }, { "title": "Flagright makes Notion VC B2B 100 List", "url": "https://twitter.com/FlagrightHQ/status/1630174439466840064", "date": "Jan 01, 2023" }, { "title": "Flagright offers transaction monitoring with usage-based pricing – TechCrunch", "url": "https://techcrunch.com/2022/06/28/flagright-offers-transaction-monitoring-with-usage-based-pricing/", "date": "Jun 28, 2022" } ], "launches": [ { "id": 76102, "title": "Flagright AI Forensics 🛡️ AI-native AML investigations for fintechs & banks", "tagline": "We increase the quality and speed of financial crime investigations through natural language queries & AI agents", "body": "tl;dr: AI Forensics supercharges AML compliance & fraud team performance with a 90% productivity boost by harnessing natural language queries and AI-native analysis. [Watch it](https://www.youtube.com/watch?v=xRBKj2RLUvc&t=1s) in action 👇🏼.\n\nHi everyone, we are Madhu and Baran, from [Flagright](https://flagright.com).\n\n# 🚀 Introducing Flagright AI Forensics: The modern standard in AML compliance\n\nAt Flagright, we've created a powerhouse tool that enhances the speed and quality of financial crime investigations. By blending natural language processing with robust AI agents, we transform how fintechs and banks stay compliant and prevent financial crime.\n\n# 🔍 The Problem\n\nFinancial crime investigations take too long. Fintechs & banks cannot scale volume and grow without hiring a proportional amount of headcount into AML and fraud departments. This is because data is silo’d, teams have to access data on many different tools, and process/manipulate this data to investigate the suspicious activity as they reach a conclusion. As a result, they are always limited by the time it takes to conduct these tasks every single day for every single alert.\n\n# ✨ The Solution\n\nAI Forensics delivers extreme performance through natural language queries and AI-native analysis of suspicious activity. It can learn from a company’s internal policies, procedures, or continuous usage of the platform such as how past investigations were conducted.\n\n![uploaded image](/media/?type=post&id=76102&key=user_uploads/672295/67c58686-2cad-4bf5-83dd-29cef4e17321)\n\nIt is build on top Flagright’s centralized data infrastructure and data processing pipelines with LLMs and algorithms. That’s how it’s able to deliver accurate, cohesive analysis across a wide variety of use cases. Unlike pure LLM solutions, it can accurately make factual analysis, calculations, and display charts & tables instantly.\n\n# 🛠 How It Works\n\n\n\n# 📣 Ask\n\nBe part of our journey in building the next generation anti financial crime infrastructure for fintechs & banks globally:\n\n* Follow us on LinkedIn to stay posted on our latest updates at \n* Get in touch for a live demo and to learn more at ", "url": "https://www.ycombinator.com/launches/JnS-flagright-ai-forensics-ai-native-aml-investigations-for-fintechs-banks", "votes": 11, "created_at": "2023-11-09T09:47:36.523Z" }, { "id": 71272, "title": "Flagright AI: A GPT-powered AI toolkit for AML compliance ops", "tagline": "Supercharge your financial crime prevention & AML compliance with Flagright AI & GPT", "body": "Hi there, this is [Baran](https://www.linkedin.com/in/baranozkan/) and [Madhu](https://www.linkedin.com/in/madhugnadig/) from [Flagright](https://flagright.com/)! 👋🏼\n\nFlagright provides an all-in-one software for financial institutions to manage financial crime risk and meet AML compliance regulations 🕵🏼. Our unified API delivers the essential (and mandatory) capabilities for regulatory compliance such as transaction monitoring, risk scoring, sanctions screening, case management and more, all managed via a no-code, flexible, and intuitive interface by the operational teams.. Flagright offers the fastest integration times globally: 4 days on average across all integrations with fintechs in 6 continents.\n\n![uploaded image](/media/?type=post&id=71272&key=user_uploads/89898/43eea7a5-9a88-4233-b405-f0a70bc36ebe)\n\n> # \n>\n> # **The launch: Flagright AI 🤖**\n>\n> Financial crime ops teams spend a lot of time doing research on customers and investigating suspicious activity on a daily basis. The mundane tasks are the main driver of inefficiency and headcount for financial institutions and fincrime teams 😩. Flagright AI **automates these tasks and even eliminates it entirely** for certain use cases such as merchant monitoring 🔎.\n\nIn addition to our proprietary technology, Flagright AI leverages the GPT API for specific features. **This is the first time the power of GPT is brought to AML compliance teams at scale, globally!** 🚀\n\nHere's an overview of the newest capabilities:\n\n1. **Merchant monitoring and alerting 🔎:** The GPT-powered merchant monitoring and alerting module enables Flagright customers to monitor merchants across multiple sources and channels with zero manual input. It eliminates 100% of manual monitoring efforts and improves fincrime operations while ensuring fast response times and maximum risk-mitigation.\n2. **Salesforce, Zendesk, and Hubspot integrations + GPT summaries ✉️:** The CRM integrations will consolidate your CRM correspondence within the Flagright case management system, with Flagright AI summarizing the highlights of customer correspondence. It eliminates the need to comb through tens of emails and messages for each customer correspondence. As a result, it saves analysts 15% of their time each day, improving operational efficiency and accuracy.\n3. **Case and alert narrative generator ✍️:** Our AI Narrative Writer drastically improves analyst performance, decreasing the time it takes to write a contextual narrative for each suspicious activity by 90+%. Flagright AI captures an analyst’s writing style, sentiment, user information, case closing reason, and specific suspicious activity.\n4. **AML AI risk score ⚠️:** AML Compliance Officers can now leverage AI to risk score their customers as a complementary mechanism to their traditional risk assessment (CRA) approach. The combination of heuristics & AI delivers maximum operational efficiency while maintaining explainability for regulators.\n5. **SAR generator 📇:** Our Suspicious Activity Report generator leverages GPT and can automatically create a SAR for any suspicious activity flagged by our platform's monitoring systems, reducing the time spent by 99%. Flagright AI ensures that SARs are generated consistently and accurately and reduces the risk of errors in manual SAR creation.\n\nFlagright AI represents a significant milestone in our journey to empower financial institutions with best-in-class operational tooling for AML compliance and fraud prevention.\n\nWe are excited to see the impact that Flagright AI will have on our customers and building a safer, more secure financial ecosystem. [Contact us](https://www.flagright.com/contact) to schedule a free demo if you are interested in learning more.\n\n# Launch deal\n\n* 50% discount on Flagright AI suite for the next 5 customers that sign up. First come, first serve! Get a demo now by clicking [here](https://www.flagright.com/contact)!\n* Y Combinator companies have additional discounts apply [here](https://deals.ycombinator.com/deals/1159).", "url": "https://www.ycombinator.com/launches/IXY-flagright-ai-a-gpt-powered-ai-toolkit-for-aml-compliance-ops", "votes": 34, "created_at": "2023-04-30T07:17:27.843Z" }, { "id": 67971, "title": "Flagright Launchpad 🚀: Radically simplify fintech licensing & BaaS onboarding", "tagline": "A faster & cheaper alternative for fintechs to do BaaS onboarding, apply for a license, or create AML compliance policies.", "body": "[Flagright Launchpad](https://www.flagright.com/professional-services) helps starting or scaling fintechs simplify regulatory licensing and BaaS onboarding.\n\n![uploaded image](/media/?type=post&id=67971&key=user_uploads/672295/3bafeb6a-2d0c-437c-b1b6-7df426efba53)\n\nIt’s currently available in the UK 🇬🇧, Canada 🇨🇦, Singapore 🇸🇬, Kenya 🇰🇪, and the EU 🇪🇺, with new jurisdictions launching soon. With Launchpad, you can 👇:\n\n1. **Onboard with BaaS providers** of your choice or connect with our partners like CurrencyCloud, Rapyd, ClearJunction and more. 🏦\n2. Create **customized AML compliance policies** for each jurisdiction & use case. 📜\n3. **Apply for fintech license** in each jurisdiction for specific license types. 💼\n4. Get **advisory services for AML compliance** or fraud-related questions. 🛎\n\n![uploaded image](/media/?type=post&id=67971&key=user_uploads/672295/306bdf29-b01e-43c2-8a22-285d31b3e501)\n\n### **Expert Team** 🦸\n\nLaunchpad is built by fintech operators and led by ex Group MLRO of Revolut with 15+ years of experience in regulatory relationships, AML compliance, and banking.\n\n### **What we don’t do** ⛔\n\nFlagright team does not provide legal advice.\n\n### **How to get in touch** 🤙\n\nSchedule a call & get started at ", "url": "https://www.ycombinator.com/launches/HgJ-flagright-launchpad-radically-simplify-fintech-licensing-baas-onboarding", "votes": 30, "created_at": "2022-12-19T16:06:45.111Z" } ] }, { "id": 26720, "name": "TrueBiz", "slug": "truebiz", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/744ba21703836aacf20f93a8ea2eaf05fdb4ad3f.png", "website": "https://truebiz.io/", "all_locations": "Miami, FL, USA; New York, NY, USA; Remote", "long_description": "TrueBiz helps financial service providers reduce manual review during business onboarding.\r\n\r\nWe add color to the company's background with 250+ data points on the company from around the web (such as industry and address), and summarize key risk indicators.\r\n\r\nThe process takes seconds – not days, so financial service providers can efficiently meet risk requirements and onboard new businesses faster.", "one_liner": "Instant Background Checks for Businesses", "team_size": 6, "industry": "B2B", "subindustry": "B2B -> Operations", "launched_at": 1653081454, "tags": [ "Fintech", "B2B", "Identity", "Regtech" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Summer 2022", "status": "Active", "industries": [ "B2B", "Operations" ], "regions": [ "United States of America", "America / Canada", "Remote", "Fully Remote" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/truebiz", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2022/truebiz.json", "year_founded": 2022, "city": "Miami", "country": "US", "linkedin_url": "https://www.linkedin.com/company/truebiz-inc", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/744ba21703836aacf20f93a8ea2eaf05fdb4ad3f.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Tom Blomfield", "url": "https://www.ycombinator.com/people/tom-blomfield" }, "founders": [ { "user_id": 156422, "full_name": "Danny Hakimian", "title": "Founder", "founder_bio": "", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/dannyhakimian", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/0223b5a91a671421bd16a28972f31c5c63e6319e.jpg" } ], "jobs": [ { "id": 95567, "title": "Senior Software Engineer, Core Team", "url": "https://www.ycombinator.com/companies/truebiz/jobs/XkFCIG0-senior-software-engineer-core-team", "location": "Remote (US)", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$125K - $180K", "equity_range": "0.10% - 0.25%", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 104922, "title": "Head of Sales", "url": "https://www.ycombinator.com/companies/truebiz/jobs/t99tSBy-head-of-sales", "location": "US / CA / Remote (US; CA)", "type": "Full-time", "role": "Sales", "role_type": null, "salary_range": "$175K - $225K", "equity_range": "", "experience": "6+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 104923, "title": "Growth Lead, Enterprise Outbound", "url": "https://www.ycombinator.com/companies/truebiz/jobs/4H4zIAD-growth-lead-enterprise-outbound", "location": "US / CA / Remote (US; CA)", "type": "Full-time", "role": "Sales", "role_type": null, "salary_range": "$140K - $175K", "equity_range": "", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 106783, "title": "SDR Manager, Enterprise Outbound", "url": "https://www.ycombinator.com/companies/truebiz/jobs/zM0fBqy-sdr-manager-enterprise-outbound", "location": "US / CA / Remote (US; CA)", "type": "Full-time", "role": "Sales", "role_type": null, "salary_range": "$140K - $180K", "equity_range": "", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [] } ], "news": [ { "title": "TrueBiz aims to help financial services providers onboard business customers faster, avoid fraud • TechCrunch", "url": "https://techcrunch.com/2023/01/31/yc-alum-truebiz-raises-2-4m-to-help-financial-services-providers-onboard-business-customers-faster-avoid-fraud/", "date": "Jan 31, 2023" } ], "launches": [ { "id": 64085, "title": "TrueBiz - Reduce Dropout During KYB", "tagline": "TrueBiz helps fintechs onboard business accounts faster by automating the processing of documents & data for KYB", "body": "# What We Do\n\nTrueBiz verifies business identity by combining the processing of company documents, together with searches in best-in-class data sources.\n\n# Who Has This Problem\n\nFinancial services companies onboarding business accounts often **revert to manual review because existing data sources can not provide a complete picture of the business.**\n\nAs a result, companies often rely on the business to provide supporting documentation — which is then manually reviewed. During the process they might review:\n\n* An Articles of Incorporation to verify business identity\n* A By Laws document to verify the shareholder structure\n* An invoice to validate the nature of the business\n\nThe back and forth to capture the correct documents can go on for weeks. **This slows down onboarding and creates a frustrating customer experience.**\n\n# How TrueBiz Solves KYB\n\nTrueBiz validates the different documents required for each step of the verification process. This is combined with searches in best-in-class data sources. This range of tools enables our clients to convert more customers, with less effort.\n\n![uploaded image](/media/?type=post&id=64085&key=user_uploads/156422/f72085b1-1265-4782-8183-a68c792b9f90)\n\nFor our clients, this results in:\n\n1. **Speed up time to activation:** we validate documents in seconds, preventing a slow back-and-forth to capture the correct paperwork. This shaves days off revenue realization.\n2. **Reduce manual review:** we help identify the \\~10% of cases that actually need further attention. You can redeploy the majority of your human analysts’ time and skill elsewhere.\n3. **Scale:** we remove friction from the onboarding process, so you can grow faster.\n\nOur process takes seconds – not days, so Financial Institutions can efficiently meet Know Your Business requirements and onboard new businesses faster.\n\n# Book a demo\n\nIf you’re a fintech looking to optimize your business onboarding process, [schedule a demo here](https://calendly.com/dannyhak/truebiz-demo?month=2022-06).", "url": "https://www.ycombinator.com/launches/Gfd-truebiz-reduce-dropout-during-kyb", "votes": 24, "created_at": "2022-06-26T23:51:25.936Z" } ] }, { "id": 27086, "name": "AiPrise", "slug": "aiprise", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/770962df89cc8c39a3d3d7296d9e2bc0f02b1ea2.png", "website": "https://aiprise.com/", "all_locations": "San Francisco, CA, USA", "long_description": "Verify your customers globally with a single platform. 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Previously led spam protection and Caller ID at Google.", "is_active": true, "linkedin_url": "http://www.linkedin.com/in/chaitanyasarda", "x_url": "https://x.com/sardachaitanya", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/917e6a4fa86f922df03828423c7d6810410ce5a3.jpg" }, { "user_id": 991872, "full_name": "Rushabh Shah", "title": "Founder/Co-CEO", "founder_bio": "", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/rushabh-shah-b7197198/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/d47b43c725a7c88b7a2c47a531a12cf90b18727e.jpg" } ], "jobs": [ { "id": 82857, "title": "Account Executive - US", "url": "https://www.ycombinator.com/companies/aiprise/jobs/05SAS6H-account-executive-us", "location": "Bellevue, WA, US / San Jose, CA, US / New York, NY, US / Austin, TX, US / Remote (US)", "type": "Full-time", "role": "Sales", "role_type": null, "salary_range": "$80K - $90K", "equity_range": "", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 87103, "title": "Account Executive - 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₹5M INR", "equity_range": "", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] } ], "news": [ { "title": "AiPrise raises $12.5M to unify global KYB", "url": "https://www.axios.com/pro/fintech-deals/2025/10/08/aiprise-12-million-global-compliance", "date": "Oct 08, 2025" }, { "title": "Announcing our $2M raise | AiPrise", "url": "https://aiprise.com/blog/post/announcing-our-2-m-raise", "date": "Nov 01, 2022" } ], "launches": [ { "id": 77760, "title": "BusinessID by AiPrise 🚀 - Onboarding and verifying businesses made easy", "tagline": "Say goodbye to cumbersome onboarding processes and welcome a streamlined approach to business verification.", "body": "At [AiPrise](https://aiprise.com/), we are thrilled to unveil BusinessID, an innovative solution set to transform Know Your Business (KYB) checks, ushering in a new era of speed and efficiency. Say goodbye to cumbersome onboarding processes and welcome a streamlined approach to business verification.\n\n### **Why?**\n\nImagine you want to onboard a business on your platform. Here is what the traditional verification setup looks like - \n\n**Step 0:** Design a complicated Typeform (Requires 7-10 days)\n\n**Step 1:** Send a Google / Typeform link to the business/merchant to collect the following information about the company -\n\n* Name & Tax ID\n* Legal Information\n* UBO Information / Ownership Structure\n* Website Information\n* Registration documents \n* Address Proof\n* UBO Identity documents\n\n**Step 2:** Semi-automated validation of the above information (4-5 days)\n\n* Lookup business Tax ID and name in the local business registry\n* Order OFAC/AML/Sanctions/Adverse Media checks on the business\n* Document verification / KYC checks on each UBO + Legal Representative\n* Order OFAC/AML/Sanctions/Adverse Media checks on each UBO\n* Manually verify address proof\n* Follow up with customer for any missing information\n\n**Step 3:** Risk Analysis (0.5-1 hour)\n\n* Manually go through the website\n* Lookup business information and employee count on LinkedIn\n* Google search of the business to get insights on customer reviews/news articles, etc.\n* Manually go through provided documents and completely rely on intuition to spot fraudulent documents\n\n**Challenges of Traditional Verification:**\n\n* Time-consuming\n* Relies on inconsistent data sources\n* Difficulty scaling with diverse regulations across multiple geographies\n* Prone to fraud due to manual verification errors\n\n### **What is BusinessID?**\n\nBusinessID is a robust, comprehensive tool that drastically cuts down the time spent on verifying companies. This platform has a customizable onboarding UI, risk-based workflows, a case management tool, and country-specific templates.\n\n* **Customizable Onboarding Experience:** Tailored UI for efficient and brand-aligned verification.\n* **Comprehensive Verification Suite:** Streamlined business registry lookups, tax/VAT checks, and beneficial owner verification.\n* **Global Coverage with Local Precision:** Services in over 100 countries, ensuring compliance and thorough verification.\n* **Enhanced Risk Mitigation**: Advanced tools for fraud prevention and thorough due diligence.\n* **UBO Verification**: Seamless KYC on ultimate beneficial owners\n* **Access to Government Registries:** Where accessible, for authentic documentation\n\n### **How does it work?**\n\n[Watch BusinessID in action](https://youtu.be/wv7gybUpR2s)\n\n🤖 **Automated Verification at Its Finest**\n\nBusinessID conducts thorough checks within minutes, including:\n\n* Business registry lookup\n* Tax/VAT number verification\n* Beneficial owner verification\n* Address, phone, email, and website verification\n* Online presence analysis\n* Registration document verification\n* Document extraction from government registries \n* Occupation/nature of business checks\n* Sanctions, PEP, and adverse media checks\n\n**🚀 Elevate Your Business with BusinessID**\n\nBusinessID is more than a tool – it's a transformative solution for businesses seeking efficiency, security, and compliance. Don't let outdated KYB processes hold you back.\n\n**👉 Ready to Experience the Future of KYB Checks?**\n\nVisit us at [AiPrise](https://aiprise.com) to schedule your demo and see how BusinessID can revolutionize your business verification process.", "url": "https://www.ycombinator.com/launches/KEC-businessid-by-aiprise-onboarding-and-verifying-businesses-made-easy", "votes": 16, "created_at": "2024-01-23T15:00:37.955Z" }, { "id": 65290, "title": "AiPrise: Identity Verification Made Simple", "tagline": "Harness the power of all identity vendors through one platform", "body": "tl;dr We let you ensure that your users are really who they claim to be. We do this by integrating with multiple vendors and exposing them all through one single platform.\n\nHey everyone, Rushabh & Chaitanya here. We’re a team of enthusiastic product builders. Chaitanya brings 4+ years of experience in the Trust and Safety space as a tech lead from Google, while Rushabh brings an in-depth experience in building developer focussed products through his role as a Staff Engineer at Meta. We are super excited to publicly announce the launch of AiPrise. **We officially went live with our first few customers in just under 45 days!**\n\n### **⚠️ Problem**\n\nDoes your platform require you to know who your customers are (aka - KYC / identity verification)?\n\nPeople who have hunted for KYC/KYB providers in the past are probably already thinking - “Oh ok - here goes one more KYX provider”.\n\n_Hint: We aren’t yet another KYX provider_\n\nTrue identity verification is super challenging. **No one** provider is usually sufficient to meet all your needs. Each country has different compliance requirements, each platform has a different risk appetite, and simply checking the KYC boxes is usually not enough to prevent real fraud on a platform.\n\nOn an average, a company ends up integrating with **10+ identity providers** over time. Layering multiple vendors is not just more fraud proof, but also cost effective in certain cases.\n\nInteresting stuff we heard from other companies:\n\n1. **Cost Optimization** Local providers tend to be cheaper for a given region, but have limited coverage. Use a local provider for requests from a certain country, if it fails - fall back to a more expensive global provider.\n2. **Device Attributes:** Regular KYC checks have become too easy for fraudsters. In one case, fraudulent users gained access to legitimate IDs, but the attack was thwarted as all the requests came in with a specific screen resolution set by a bot farm.\n\nWe can go on and on about the list here, But the gist is that on an average, a company ends up writing **100+ rules** using a varied combination of APIs just to prevent account opening scams.\n\nThink about the complexity of the decision engine over time and the resources it takes to maintain them!\\\n\\\n**💡 Solution**\n\nMeet AiPrise: AiPrise provides companies with a single platform with pre-integrated APIs to pick and choose from and easily manage their identity stack.\n\nYou can quickly drag and drop the vendors that best suit your needs into a workflow, add conditional logic on top of it and voila! You are done!\n\nNo more talking to 10 different vendors and negotiating contracts with them. No more reading through the docs of 10 different vendors and integrating them one by one. **You only need to integrate with us once, and get access to all the APIs you need on the go!**\n\nWe already have 15+ vendors integrated on our platform - enabling not just the usual documentary checks, but also KYB and fraud detection.\n\n![uploaded image](https://bookface.ycombinator.com/media/?type=post&id=65290&key=user_uploads/991872/05cd0a28-d59c-41ed-bda5-673ef156fd3c)\n\n_Glimpse of how you can manage your identity stack with AiPrise_\n\n**What’s more?**\n\n1. We also provide a client-side SDK with completely customizable onboarding screens, that you can integrate with in less than a day.\n2. AiPrise also comes with a set of predefined templates to get you compliance ready super quickly!\n3. Don’t see the API you need? Just shoot us an email and we will work with the API provider to make it available for you.\n\nAt AiPrise, we believe that identity verification is essential to establishing trust on any platform, and that it should be available to startups and big enterprises alike. Hence - **our platform has 0 upfront costs**!\n\n## **Asks**\n\n1. If you are using an existing KYC provider or are looking for one, we can help you future proof your compliance needs. Do reach out! \n2. If you have insights / experience in this space - we would love to learn from you! Please drop a comment and we will reach out to you.\n\nPlease reach out to us at [founders@aiprise.com](mailto:founders@aiprise.com) and we are happy to help set up your compliance and customer onboarding policy.\n\n**Thanks**\n\nFeel free schedule a chat/demo with us at . Feedback is very welcome!", "url": "https://www.ycombinator.com/launches/Gz4-aiprise-identity-verification-made-simple", "votes": 35, "created_at": "2022-08-11T06:42:56.668Z" } ] }, { "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": 28218, "name": "Kyber", "slug": "kyber", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/3004c4a72b716a80763763b95bf3e212c448756e.png", "website": "https://askkyber.com", "all_locations": "New York City, NY, USA", "long_description": "With Kyber, companies operating in regulated industries can quickly draft, review, and send complex regulatory notices. For example, when Branch Insurance's claims team has to settle a claim, instead of spending hours piecing together evidence to draft a complex notice, they can simply upload the details of the claim to Kyber, auto-generate multiple best in-class drafts, easily assign reviewers, collaborate on notices in real-time, and then send the letter to the individual the notice is for. Kyber not only saves these teams time, but significantly improves consistency, compliance, and personalization. ", "one_liner": "Instantly draft, review, and send complex regulatory notices.", "team_size": 5, "industry": "B2B", "subindustry": "B2B -> Operations", "launched_at": 1677372539, "tags": [ "Generative AI", "SaaS", "Insurance", "Enterprise", "Regtech" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Winter 2023", "status": "Active", "industries": [ "B2B", "Operations" ], "regions": [ "United States of America", "America / Canada", "Remote", "Partly Remote" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/kyber", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2023/kyber.json", "year_founded": 2022, "city": "New York City", "country": "US", "linkedin_url": "https://www.linkedin.com/company/ask-kyber/", "x_url": "https://twitter.com/AskKyber", "fb_url": null, "cb_url": "https://www.crunchbase.com/organization/kyber", "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/3004c4a72b716a80763763b95bf3e212c448756e.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/188ff6c81544db46c701a9e6adfa9be701ef4791.png" ], "primary_partner": { "name": "Jared Friedman", "url": "https://www.ycombinator.com/people/jared-friedman" }, "founders": [ { "user_id": 271067, "full_name": "Arvind Sontha", "title": "Founder", "founder_bio": "Arvind Sontha is Founder & CEO of Kyber. He is a repeat founder with an entrepreneurial spirit that started in his childhood, when he started a local pet care business. Since then, his entrepreneurial endeavors have taken him across numerous industries, building in EdTech, Dating, Insurtech, and AI. During this time, Arvind also signed full-time with Google at 19, founded Subtle Curry Dating (~250k members on Facebook), and became a licensed insurance agent.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/arvind-sontha/", "x_url": "https://twitter.com/ArvindSontha", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/6db185fb8a67fa875d1775d6725f3f8cc2776327.jpg" } ], "jobs": [ { "id": 110021, "title": "Forward Deployed Engineer", "url": "https://www.ycombinator.com/companies/kyber/jobs/eturrAR-forward-deployed-engineer", "location": "New York, NY, US", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$110K - $150K", "equity_range": "0.05% - 0.15%", "experience": "1+ years", "visa": "US citizen/visa only", "skills": [ "JavaScript", "Python", "SQL" ] } ], "news": [], "launches": [ { "id": 79877, "title": "Kyber LetterGen 📝 Compose and send complex claim notices", "tagline": "We help claims teams instantly draft, review, and send complex notices.", "body": "**_tldr;_** _We make it simple for claims teams to instantly draft, review, and send complex notices to insureds, claimants, and third parties (like attorneys). With GenAI draft generation, real-time collaborative editing, integrated review workflows, and omnichannel delivery, Kyber’s LetterGen is able to supercharge the process of creating claim denial, partial denial, and settlement notices for even the most complex claims._ **Book a demo on our [website](https://askkyber.com?utm_source=ycombinator&utm_medium=launch&utm_campaign=claims_launch_yc) to learn more!**\n\n**—**\n\n# **🧨 Problem: Regulated notices are tedious and high-risk.**\n\nFor claims teams, state departments of insurance typically have very clear guidelines around the specific types of notices an insurer is supposed to provide to the parties involved. These include notices like claim acknowledgment, status updates, proactive reservations of rights, and finally, either a claim denial, partial denial, or settlement letter detailing what finally is or isn’t covered.\n\nWhile that may seem straightforward, many organizations fail to meet these requirements as adjustors struggle to efficiently write notices up to the required quality bar. Numerous carriers we’ve talked to and currently work with have audited their claims organizations and found that their teams spend upwards of **30% of their working hours** just handling these notices.\n\nWhy? Many times, these notices end up in a court of law where an unhappy claimant will sue the insurer, arguing that the notice was ambiguous.\n\n# **🎉 Solution: One platform to consolidate, collaborate, and send notices.**\n\nKyber’s LetterGen helps companies streamline their notice creation process, removing tedious overhead and minimizing risk from claimants suing companies for acting in bad faith.\n\n![](https://www.ycombinator.com/media/?type=post&id=79877&key=user_uploads/271067/33ede188-d105-4957-a9e3-5f109a3b9320)\n\nOut of the box, Kyber’s LetterGen comes with:\n\n* Automatic policy language extraction 🔍\n* Personalized draft creation powered by GenAI 🤖\n* Integrated review workflow ⭐\n* Real-time collaborative editing and commenting 💬\n* Full history and version tracking support 🕗\n* Basic template creation and management 📄\n* Progress tracking across your notice funnel 📊\n* Pre-built integrations into claims systems and mailing systems ✉️\n\n### **Our ask 🙏**\n\n* Connect us with Operations or Claims leaders at TPAs, Carriers, MGAs, or Reinsurers ➡️ [sav@askkyber.com](https://mailto:sav@askkyber.com).\n* If you or your organization operate in a regulated industry (Healthcare, Loans, Banking, Utilities, etc.) and are required to generate similar notices for third parties, we’d love to learn more ➡️ [founders@askkyber.com](mailto:founders@askkyber.com)", "url": "https://www.ycombinator.com/launches/KmL-kyber-lettergen-compose-and-send-complex-claim-notices", "votes": 21, "created_at": "2024-04-02T15:41:18.646Z" }, { "id": 69780, "title": "Kyber - ChatGPT for enterprise support", "tagline": "Kyber embeds AI intelligence into enterprise support workflows to accelerate customer success teams.", "body": "# TL;DR Instead of digging across resources to find the right answer, Kyber provides highly specific and accurate answers right at your fingertips.\n\n### Who Is It For?\n\nAny company/enterprise that gets repeat questions about the same thing over and over again that they’ve already documented or answered.\n\n### How It Works\n\n⚡ Install our **Slack/Discord/Front/Intercom** Apps each in **two clicks**\n\n**⚙️** We’ll ingest your knowledge base (typically public documentation) and configure them into your preferred access channels\n\n**❓** Go to town asking Kyber for help on questions about your knowledge base\n\n🔍 Gain important insights into user questions and team questions, which you can then use to further refine your knowledge base\n\n🚀 Accelerate support, onboarding, and more at speed of AI\n\nDirect Response Flow:\n\n![uploaded image](https://bookface.ycombinator.com/media/?type=post&id=69780&key=user_uploads/271067/061a2882-761b-4b9d-83cf-edf2fc8ba501)\n\nHidden Response Flow:\n\n![uploaded image](/media/?type=post&id=69780&key=user_uploads/271067/98d2c6ea-889d-45a7-a4bc-33b6d11a4626)\n\n# Why We Built Kyber\n\n🤔 We started Kyber because we were frustrated with the tradeoffs that different resources and support channels provide today. At the end of the day, we realized that end users just want factually correct answers and they want them NOW.\n\nExisting resources each make tradeoffs between speed, relevance, and trust:\n\n* Documentation (Immediately available, but not easy to search or always up to date): \n * Speed ✅\n * Relevance ❌\n * Trust ✅\n* Community (Friendly, but not sure if answers are trustworthy):\n * Speed ✅\n * Relevance ✅\n * Trust ❌\n* Support Staff (Relevant and trustworthy answers, but usually very slow):\n * Speed ❌\n * Relevance ✅\n * Trust  ✅\n\nWe help bridge these gaps by either providing your users a direct interface for help or by enabling your CX teams to quickly search and generate answers using our flows.\n\n# How Can I Try It?\n\nEmail us at [founders@askkyber.com](mailto:founders@askkyber.com)\n\nWe’ll set up a custom demo where you’ll be able to try it out firsthand on top of your chosen knowledge base. Once you’re happy, we’ll give you and your team a white-glove onboarding experience.\n\nHave any additional flows, knowledge base sources, or integrations in mind? Let us know! We’re more than happy to support it and already have a few more exciting features planned for the future (stay tuned 😉).", "url": "https://www.ycombinator.com/launches/I9U-kyber-chatgpt-for-enterprise-support", "votes": 32, "created_at": "2023-02-28T20:08:07.488Z" } ] }, { "id": 28805, "name": "Diligent", "slug": "diligent", "former_names": [ "Paylane" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/306eaffa9ae52c97e7f7fd8c9161b13409115596.png", "website": "https://godiligent.ai", "all_locations": "London, England, United Kingdom", "long_description": "We help fintech risk and AML compliance teams automate and strengthen routine customer due diligence tasks with LLMs. Our AI assistants slash cost-to-comply, improve risk detection and free up capacity for investigations that require human expertise and decision making. \r\n\r\nFintechs and banks use us to automate workflows like running thorough due diligence on a legal entity, reviewing customer documents like registry extracts, proofs of address etc and remediating false positive alerts from their AML systems.", "one_liner": "AI agents for fintech risk and compliance operations", "team_size": 10, "industry": "Fintech", "subindustry": "Fintech", "launched_at": 1706799734, "tags": [ "Fintech", "Compliance", "Fraud Prevention", "Regtech", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Summer 2023", "status": "Active", "industries": [ "Fintech" ], "regions": [ "United Kingdom", "Europe" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/diligent", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2023/diligent.json", "year_founded": 2023, "city": "London", "country": "GB", "linkedin_url": "https://www.linkedin.com/company/godiligentai", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/306eaffa9ae52c97e7f7fd8c9161b13409115596.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Jared Friedman", "url": "https://www.ycombinator.com/people/jared-friedman" }, "founders": [ { "user_id": 727896, "full_name": "Edoardo Maschio", "title": "Founder", "founder_bio": "I was an investment associate and chief of staff @ Rocket Internet early-stage team. Incubated and invested multiple ventures with the fintech team. Previously worked as Junior associate @ Boston Consulting Group.", "is_active": true, "linkedin_url": "https://linkedin.com/in/edoardo-maschio-704", "x_url": "https://twitter.com/edoardo_maschio", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/9bbf7e727118cc2a9f7e7adc6464f082dd00183c.jpg" }, { "user_id": 1349429, "full_name": "Ahmed Gaber", "title": "Founder", "founder_bio": "I'm Co-founder and CTO at Diligent and I worked in Fintech for more than a decade.\nMost recently I was VP of engineering at Billie (Europe’s largest B2B BNPL) and led multiple engineering teams on various domains: business identification, fraud, credit, and AML risk. Previously I was a technical PM and software engineer at Funding Circle.", "is_active": true, "linkedin_url": "https://linkedin.com/in/ahmedsamygaber", "x_url": "https://twitter.com/i_sico", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/f4c14ea6e2cf457d53acf7f0319eb38169b7b74b.jpg" } ], "jobs": [ { "id": 85419, "title": "Founding ML engineer", "url": "https://www.ycombinator.com/companies/diligent/jobs/qq2XJ61-founding-ml-engineer", "location": "London, England, GB", "type": "Full-time", "role": "Engineering", "role_type": "Machine learning", "salary_range": "£75K - £90K GBP", "equity_range": "0.50% - 1.00%", "experience": "1+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 98850, "title": "Go-To-Market associate", "url": "https://www.ycombinator.com/companies/diligent/jobs/b4JjjoO-go-to-market-associate", "location": "London, England, GB", "type": "Full-time", "role": "Sales", "role_type": null, "salary_range": "$50 - $60", "equity_range": "", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] } ], "news": [ { "title": "Diligent AI Raises $2.5M to Empower KYC and Anti-Money-Laundering teams with AI Agents", "url": "https://www.godiligent.ai/post/diligent-ai-raises-2-5m-to-empower-kyc-and-anti-money-laundering-teams-with-ai-agents", "date": "Mar 04, 2026" } ], "launches": [ { "id": 96132, "title": "Diligent - Automate Sanction/PEP/Adverse Media alert reviews", "tagline": "KYC/AML teams use Diligent AI to reduce by 50% the time spent on AML alert handling", "body": "# **TL;DR**\n\nDiligent helps KYC/AML teams at fintechs and banks **automate the review of Sanctions / PEP / Adverse Media alerts** from their screening providers.\n\nThe agent, natively integrated with the world’s most popular AML screening providers (e.g., LexisNexis, WorldCheck, Dow Jones, etc.), reduces alert-handling time by over 50%. Trusted daily by **S&P 500 firms and global banks.**\n\nIf you’re a regulated financial institution… get in touch at [**founders@godiligent.ai**](mailto:founders@godiligent.ai).\n\n# **THE PROBLEM**\n\nSanctions, PEP, and Adverse Media screening is one of the most painful bottlenecks in KYC/AML operations. Every customer you onboard must be screened, and so must the counterparties of their transactions, to ensure no money flows to bad actors.\n\nScreening systems are essential for fighting financial crime, but they also generate a **huge volume of false positives**, especially for common names, transliterations, and partial matches. This pulls resources away from true investigations and forces analysts into repetitive work every day.\n\n# **THE SOLUTION**\n\nhttps://youtu.be/IMGAFRPFpM0\n\nWe built an **AML Screening AI Agent**: an AI agent that automatically investigates screening alerts and produces a final decision with a clear audit trail.\n\nIt works natively with all major screening providers (LexisNexis, WorldCheck, Dow Jones, etc.). Think of it as a new employee added to your account, no engineering effort required.\n\nIt opens every alert, reads hit details and articles, searches the web and other sources to enrich missing information, and recommends a disposition based on your own decisioning policy, with structured reasoning.\n\n**Result:** 40-70%+ reduction in alert-handling time, more consistent decisions, and a cleaner backlog.\n\n# **THE TEAM**\n\nWe’re [**Edo**](https://www.linkedin.com/in/edoardo-maschio-704/), [**Ahmed**](https://www.linkedin.com/in/ahmedsamygaber/?originalSubdomain=uk) and [**Chris**](https://www.linkedin.com/in/chris-leow-59856849/).\n\nAhmed led multiple teams as VP Engineering at Billie (Europe’s largest B2B BNPL), across business identification, fraud, credit, and AML risk. Previously he was a technical PM and software engineer at Funding Circle.\n\nEdo worked as an Investment Associate and Chief of Staff at Rocket Internet’s early-stage investment team and was previously a Junior Associate at Boston Consulting Group.\n\nChris was the founding member and 10yrs veteran of ComplyAdvantage - one of the world leading Anti-Money-Laundering software solutions and screening provider. He worked on their entity resolution and transaction monitoring capabilities.\n\n# **OUR ASK**\n\nIf you are a fintech or bank interested in exploring how AI agents can streamline your AML operations, or you know teams that might be interested, get in touch at [**founders@godiligent.ai**](mailto:founders@godiligent.ai) or find time to chat [**here**](https://cal.com/edoardo-maschio).\n\n\\\nYou can be up and running in a day!", "url": "https://www.ycombinator.com/launches/P0W-diligent-automate-sanction-pep-adverse-media-alert-reviews", "votes": 20, "created_at": "2025-12-11T17:43:50.529Z" }, { "id": 78512, "title": "Diligent - GenAI assistant for KYC/AML compliance operations", "tagline": "We help AML compliance teams automate routine customer due diligence tasks with Large Language Models", "body": "### **TL;DR**\n\n[**Diligent**](https://www.godiligent.ai/) **helps fintech risk and AML compliance teams automate and strengthen customer due diligence with Generative AI.**\n\nFintechs and banks use us to automate tasks like running thorough due diligence on a legal entity, reviewing customer documents (e.g. certificates of incorporation, proofs of address etc) and remediating false positive alerts from AML systems.\n\nIf you’re a fintech or bank… get in touch at [founders@godiligent.ai.](mailto:founders@godiligent.ai)\n\n### **THE PROBLEM:**\n\n**Fraud and Anti Money Laundering (AML) controls** are key parts of the fintech and banking industry but generate significant back office workload. It's 2024 and **most of the work still involves human analysts running repetitive tasks** which are costly, error prone and take time away from real investigations that can move the needle for fincrime prevention and require expertise.\n\nThese manual tasks can include things like…\n\n* checking online presence to verify the legitimacy and nature of business of a customer\n* reviewing documents like registry extracts, proofs of address and bank statements to comply with onboarding requirements\n* sitting through thousands of false positive alerts from AML systems\n\n### **THE SOLUTION:**\n\nDiligent builds **AI assistants designed to automate routine tasks**, slashing cost-to-comply, strengthening risk detection and freeing up capacity for investigations that require human expertise and decision making.\n\nOur AI assistants follow your workflow policies, integrate with existing systems and output risk intelligence or reports with a clear audit trail.\n\n![uploaded image](/media/?type=post&id=78512&key=user_uploads/727896/7970904a-f049-42f7-91fe-3b0fc3400c50)\n\n**We built 3 AI assistant archetypes**\n\n* ⚠️ _Risk assistant:_ Investigates holistically the risk and nature of business of customers and transaction counterparties. E.g. is the legal information declared verified? what does this company actually do? do website and address look suspicious? what's the online reputation on socials, reviews etc?\n* 🔍 _Screening assistant:_ Investigates automatically alerts from screening systems and slashes time spent remediating false positives on Sanctions/PEP/Adverse Media\n* 📝 _KYB assistant:_ Verifies business information and instantly validates customer uploaded documents (register extract, proof of address, bank statements etc.) according to custom acceptance policy to remove back-office verification work and avoid customer friction\n\nHere is a quick demo on how they can work together to conduct due diligence on a legal entity by investigating its legitimacy online, checking documentation, and reviewing alerts for Sanctions/PEP/Adverse Media against it.\n\n![uploaded image](/media/?type=post&id=78512&key=user_uploads/727896/78a8d2d2-27bc-4aa4-b8fd-39b03e5acaec)\n\n### **THE TEAM:**\n\nWe’re [**Edo**](https://www.linkedin.com/in/edoardo-maschio-704/) and [**Ahmed**](https://www.linkedin.com/in/ahmedsamygaber/).\n\nAhmed led multiple teams as VP engineering at Billie (Europe’s largest B2B BNPL) across business identification, fraud, credit and aml risk. Previously he was a technical PM and software engineer at Funding Circle.\n\nEdo worked as Investment associate and chief of staff at Rocket Internet early stage investment team and previously was Junior Associate at Boston Consulting Group.\n\n### **OUR ASK:**\n\nIf you are a fintech and are interested in exploring how Generative AI can streamline your risk and compliance controls… get in touch at [founders@godiligent.ai](mailto:founders@godiligent.ai) or find time to chat [**here**](https://calendly.com/edoardomaschio/30min?month=2024-02)!", "url": "https://www.ycombinator.com/launches/KQK-diligent-genai-assistant-for-kyc-aml-compliance-operations", "votes": 80, "created_at": "2024-02-18T21:00:07.591Z" } ] }, { "id": 28809, "name": "Readily", "slug": "readily", "former_names": [ "Pandan", "diligent" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/5dd41b10b33a2ecd2a476de413172d7d64e9de90.png", "website": "https://readily.ai", "all_locations": "San Francisco, CA, USA", "long_description": "Readily uses AI to free 20 million healthcare professionals from manual compliance work so they can focus on patient care. We've helped $B healthcare organizations cut regulatory analysis, policy drafting, and audit work by up to 90%, reducing consulting spend and compliance risk.", "one_liner": "AI Compliance Platform for Healthcare Organizations", "team_size": 20, "industry": "Healthcare", "subindustry": "Healthcare", "launched_at": 1684821530, "tags": [ "B2B", "Compliance", "Healthcare", "Regtech", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Summer 2023", "status": "Active", "industries": [ "Healthcare" ], "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/readily", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2023/readily.json", "year_founded": 2024, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/92577707", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/5dd41b10b33a2ecd2a476de413172d7d64e9de90.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Tom Blomfield", "url": "https://www.ycombinator.com/people/tom-blomfield" }, "founders": [ { "user_id": 318129, "full_name": "Edward Tiong", "title": "Founder", "founder_bio": "CEO at Readily. Studied AI at Berkeley. Ex-Microsoft AI. 3x founder. Holds 2 patents.", "is_active": true, "linkedin_url": "https://linkedin.com/in/edwardtiong", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/52a1532f1722384a150fc482882f8e94a4511aea.jpg" } ], "jobs": [ { "id": 82767, "title": "🚀 Forward Deployed Engineer", "url": "https://www.ycombinator.com/companies/readily/jobs/SEZ25wL-forward-deployed-engineer", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$110K - $170K", "equity_range": "0.10% - 0.40%", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] }, { "id": 82768, "title": "🚀 Full-Stack Engineer", "url": "https://www.ycombinator.com/companies/readily/jobs/hgS2kgL-full-stack-engineer", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$110K - $180K", "equity_range": "0.10% - 0.40%", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] }, { "id": 82769, "title": "🚀 Compliance Program Manager", "url": "https://www.ycombinator.com/companies/readily/jobs/oPocn1w-compliance-program-manager", "location": "San Francisco, CA, US / Remote (US)", "type": "Full-time", "role": "Operations", "role_type": null, "salary_range": "$130K - $160K", "equity_range": "0.01% - 0.20%", "experience": "6+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 92227, "title": "🚀 Senior Cloud DevSecOps Infrastructure Engineer", "url": "https://www.ycombinator.com/companies/readily/jobs/TNNdP3H-senior-cloud-devsecops-infrastructure-engineer", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Devops", "salary_range": "$120K - $180K", "equity_range": "0.10% - 0.30%", "experience": "6+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 92433, "title": "🚀 Senior Full-Stack Engineer", "url": "https://www.ycombinator.com/companies/readily/jobs/vrUSOY7-senior-full-stack-engineer", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$150K - $220K", "equity_range": "0.30% - 2.00%", "experience": "3+ years", "visa": "Will sponsor", "skills": [] }, { "id": 92455, "title": "🚀 Founding Account Executive", "url": "https://www.ycombinator.com/companies/readily/jobs/bZY5TDa-founding-account-executive", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Sales", "role_type": null, "salary_range": "$220K - $325K", "equity_range": "0.20% - 1.00%", "experience": "3+ years", "visa": "Will sponsor", "skills": [] }, { "id": 103198, "title": "🚀 Marketing Manager", "url": "https://www.ycombinator.com/companies/readily/jobs/VKVtK8S-marketing-manager", "location": "San Francisco, CA, US / Los Angeles, CA, US / Remote (US)", "type": "Full-time", "role": "Marketing", "role_type": null, "salary_range": "$120K - $150K", "equity_range": "0.05% - 0.10%", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [] } ], "news": [ { "title": "Readily raises $11M to help insurers stay compliant", "url": "https://endpoints.news/readily-raises-11m-to-help-insurers-stay-compliant/", "date": "Oct 13, 2026" } ], "launches": [ { "id": 83298, "title": "Readily - Healthcare compliance made easy", "tagline": "We help healthcare organizations find and close compliance gaps in hours not weeks.", "body": "# **tl;dr:** Readily helps healthcare organizations stay compliant as requirements become more complex. We connect their policies with regulations, making it drastically easier to find and close gaps.\n\n![](https://lh7-rt.googleusercontent.com/docsz/AD_4nXctpwpG1HfM12TBrl0_RXm7AOCE4BaRe-5VI_V3OaXJhtS2HRILw_YIdECGRLAeM2kHq-1GF7dfHD5_oeI3QgXS80w4hiJGViuj4YcBAiWb7Dgb3Ld1_BP9Sx1XobQqgRUjNhHNwxgpJRu-wCJMQNEg09BN?key=WOtv3UHkF8eR-G9ONpZmyQ)\n\n# **Problem**\n\nHealthcare organizations face growing backlogs and [**fines of up to $55M**](https://www.dhcs.ca.gov/formsandpubs/publications/oc/Documents/DMHCDHCS-JointPressRelease-LACare-Accusation-030422.pdf). It's getting harder to stay compliant as **requirements increase 30% every year** - many of which are frustratingly vague, leaving staff overworked.\n\nStaff spend hours sifting through 100,000 pages of policies and regulations, finding specific references on how to stay compliant. But as their tasks grow in volume and complexity, **Excel and PDF search just don’t cut it anymore**.\n\n# **Solution**\n\nReadily makes **compliance straightforward** for healthcare organizations.\n\n![uploaded image](/media/?type=post&id=83298&key=user_uploads/318129/784c1efe-98f4-4579-ab1d-57a5f6055010)\n\nWe connect their policies with regulations and **surface pertinent information** as their staff conduct research, analyze gaps, or prepare for audits.\n\n> _It used to take me 10 hours to review an All Plan Letter, and a junior staff twice as long. This saved me hours!” - Manager, Regulatory Affairs_\n\nFor any new requirement, we identify which departments, policies, and procedures are impacted and **what actions are needed to stay compliant**. This saves them hours of work and helps prevent costly violations.\n\n# **Ask**\n\nShare Readily with anyone you know in facing similar challenges keeping up with healthcare compliance or reach out to us (founders@readily.co). We'd love to help.", "url": "https://www.ycombinator.com/launches/LfW-readily-healthcare-compliance-made-easy", "votes": 262, "created_at": "2024-08-21T22:25:28.616Z" } ] }, { "id": 29291, "name": "ROE", "slug": "roe", "former_names": [ "Roe AI" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/c6e62176aed0b225675a38d104b2bd4aa8deb20e.png", "website": "https://getroe.ai", "all_locations": "San Francisco, CA, USA", "long_description": "ROE AI solve risks and compliance problems for financial industry.", "one_liner": "AI for risk and compliance", "team_size": 9, "industry": "B2B", "subindustry": "B2B -> Infrastructure", "launched_at": 1705558893, "tags": [ "Fintech", "Generative AI", "Compliance", "Regtech" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Winter 2024", "status": "Active", "industries": [ "B2B", "Infrastructure" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/roe", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2024/roe.json", "year_founded": 2023, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/roe-ai", "x_url": "https://twitter.com/try_roe_ai", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/c6e62176aed0b225675a38d104b2bd4aa8deb20e.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": null, "founders": [ { "user_id": 1065666, "full_name": "Richard Meng", "title": "Founder/CEO", "founder_bio": "Cofounder & CEO of Roe AI, democratizing the access of safe, steerable, scalable Gen AI to enterprise\n\nex-tech lead of Gen AI @ Snowflake.\nSnowflake Summit 2023 Speaker.\nex-tech lead of Knowledge Graph & Generative Skill Assessment at LinkedIn\n2014-18 UC Berkeley CS & Stats ", "is_active": true, "linkedin_url": "https://linkedin.com/in/berkeleymeng", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/7a5f183a64d9735a1eb261c10fc1db5fae706938.jpg" } ], "jobs": [ { "id": 81104, "title": "Founding Engineer", "url": "https://www.ycombinator.com/companies/roe/jobs/OFFxite-founding-engineer", "location": "San Mateo, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$140K - $180K", "equity_range": "0.10% - 0.50%", "experience": "Any (new grads ok)", "visa": "Will sponsor", "skills": [ "Amazon Web Services (AWS)", "Kubernetes", "Python" ] }, { "id": 82886, "title": "Founding Staff Software Engineer", "url": "https://www.ycombinator.com/companies/roe/jobs/c6wCCGz-founding-staff-software-engineer", "location": "San Mateo, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Backend", "salary_range": "$160K - $200K", "equity_range": "0.40% - 1.00%", "experience": "3+ years", "visa": "Will sponsor", "skills": [ "Amazon Web Services (AWS)", "Kubernetes", "Python", "Docker", "Microservices" ] }, { "id": 106769, "title": "Head of Product Management", "url": "https://www.ycombinator.com/companies/roe/jobs/6dFKkIl-head-of-product-management", "location": "San Mateo, CA, US", "type": "Full-time", "role": "Product", "role_type": null, "salary_range": "$150K - $200K", "equity_range": "0.40% - 1.20%", "experience": "6+ years", "visa": "US citizen/visa only", "skills": [] } ], "news": [ { "title": "Announcing $3.5M Seed Round Led By Gradient Ventures", "url": "https://www.getroe.ai/blog/fundraising", "date": "Aug 05, 2024" } ], "launches": [ { "id": 78571, "title": "Roe AI - A new data warehouse for unstructured data", "tagline": "What if you can process any data in this world, what would you do?", "body": "### **🥇TL;DR:**\n\n[Roe AI](https://roe-ai.com/) is the next-generation data warehouse that uses AI to process unstructured data like natural language, documents, images, and structured tabular data. We came from Snowflake, so we know how it enables companies to get value out of their data and we are here to help get value from even more, harder-to-reach data.\n\n![](https://bookface.ycombinator.com/media/?type=post&id=78571&key=user_uploads/1065666/b268a0a7-4a58-43b9-8b25-bfd8318a5d7a)\n\n### **Who it’s for:**\n\nIf you work with data, you should check us out!\n\n**Connect your data -** Roe AI supports various unstructured data types - natural languages, documents, websites, images, videos, etc. Connect with your data sources from S3, Snowflake, Databricks, and many more.\n\n**Create smart, multi-modal agents** **\\-** Create a powerful, customizable AI agent within 30 seconds.\n\n**Query your data with SQL -** apply AI agents on **unstructured data** using SQL queries + natural language!\n\n### **👩‍💻 A data scientist’s 3 minutes**\n\n**9:30AM Monday, San Francisco.**\n\nAnna, the data scientist at Oak Ventures, needs to understand this YC batch to help GPs make investment decisions in YC W24. \n\n**9:31 AM.** Anna logs onto Roe AI data warehouse, where she has collected tens of thousands of crawled **homepages** and **pitch decks** from startups. \n\nFrom those data, Anna hopes to find who these startups are selling to, market size, and revenue. More importantly, Anna **only** wants to target YC-backed startups because they’re the best.\n\n**9:32 AM.** Anna wrote a simple SQL with some English. \n\nThe query finishes within 6 seconds. She sees the results of over 200 YC W24 companies and their ICP, TAM, and ARR extracted from the pitch decks. Moreover, Anna checks out the pitch deck side by side to assist her analysis!\n\n![](https://lh7-us.googleusercontent.com/Q8CN1oMnEd1Xd91F0KEUYCA-nHpPrdoM4mHHUHlUgHWiML9b-QVO3j2GKTLEZ650tisYVlH8dVXfIcgaMpRqqpcWUzpv7Xp4dcI2BhskL6ArSaByMExJqM__0JHYWcQD8WHm5s_mDn9gcudMPJJGzAY)\n\nNow it’s **9:33 AM.**\n\nAnna’s Monday is just getting started, but she has achieved so much, so she decides to pour herself some coffee while enjoying the data magic of Roe AI.\n\n### **❓Why a new data warehouse?**\n\n**20% of data is structured; what about the remaining 80%?** Transcripts, Images, documents, videos, audio, people call it unstructured data.\n\nWe interviewed data teams across industries, and 85%+ of them are just leveraging that 20%! Based on that partial view, they need to make business-critical decisions. This is wrong! But why??\n\n**High barrier to leveraging AI on Data:** processing unstructured data requires a lot of AI. But today’s AI infra like GCP, Databricks, and AWS require heavy MLOps knowledge plus \\~18 weeks of eng time.\n\n**Incomplete data warehouse solutions:** the data warehouse solutions today - Snowflake, Redshift, Databricks, are made specifically for structured data - numbers, text enums, booleans, JSON, but not for images, documents, videos, audio and many more!\n\n**That’s why we built Roe AI, the next-generation data warehouse for unstructured and structured data powered by Gen AI**\n\n### **👋 Meet the team: Richard & Jason**\n\n![uploaded image](/media/?type=post&id=78571&key=user_uploads/1065666/5ae31107-247e-4be4-93bc-e9ff95b61abb)\n\n**I’m **[**Richard**](https://linkedin.com/in/berkeleymeng)**, I’ve been dedicating my life to data for the last 8 years**\n\nStarting from UC Berkeley, I researched OSM data with Berkeley’s supercomputers and graduated with a CS and stats double degree. At LinkedIn, I helped build the infra for the world’s largest economic graph, connecting the world’s best talent with dream jobs.\n\nAt Snowflake, I led the Gen AI initiative and created the first AI data copilot on Snowflake. We tuned open-source LLM from the ground up and served AI data copilot to hundreds of Fortune 2000 customers on their enterprise data workloads.\n\n**I'm **[**Jason**](https://linkedin.com/in/jason-wang-a29851128)**. The last 7 years of my career are dedicated to building the most scalable infrastructure**\n\nI also began my journey at UC Berkeley, graduating with a CS and Applied Maths double degree. At Meta, I contributed to the largest ML infrastructure on earth and developed high-performance optimization and graph algorithms, supporting thousands of ML models and hundreds of ML teams.\n\nAt Robinhood and Retool, I led the infrastructure and DevOps team and built the infrastructure foundation to support tens of thousands of enterprise applications running on the Retool platform.\n\n# **🙏 Ask**\n\n### **SIGN UP FOR THE WAITLIST! We WANT you to try THE product!**\n\nWe’ll open self-serve signup **by the end of the week**.\n\n**At this point, please leave a comment below or use the waitlist signup form on **[**roe-ai.com**](http://roe-ai.com)**. So we can send you the login instructions!**\n\nIf you want a live demo from us, please book us some time  \n\nOr email us at [founders@roe-ai.com](mailto:founders@roe-ai.com)\n\nOr text or call us directly at (510)-325-2872\n\n![uploaded image](/media/?type=post&id=78571&key=user_uploads/1065666/96fec7c9-f390-4369-84a9-db484b7e0c68)\n\n", "url": "https://www.ycombinator.com/launches/KRH-roe-ai-a-new-data-warehouse-for-unstructured-data", "votes": 102, "created_at": "2024-02-20T20:10:04.598Z" } ] }, { "id": 29973, "name": "Arva AI", "slug": "arva-ai", "former_names": [ "Tarit AI", "Arva AI", "Arva" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/2ae299aabd083b7f6ae2fc0bfa29903e922b33af.png", "website": "https://www.arva.ai", "all_locations": "New York City, NY, USA", "long_description": "Arva AI is a Google backed research company deploying AI Agents for critical banking operations with industry-leading accuracy, from financial crime compliance to lending. Combining proprietary models with adaptive decisioning infrastructure, Arva enables large banks and financial institutions to automate high-risk decisions with greater consistency, effectiveness and control. Always hiring.", "one_liner": "AI for critical banking operations", "team_size": 20, "industry": "B2B", "subindustry": "B2B", "launched_at": 1721196993, "tags": [ "Fintech", "B2B", "Compliance", "Regtech", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Summer 2024", "status": "Active", "industries": [ "B2B" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/arva-ai", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2024/arva-ai.json", "year_founded": 2024, "city": "New York City", "country": "US", "linkedin_url": "https://www.linkedin.com/company/arva-ai/", "x_url": "https://x.com/arva_ai", "fb_url": null, "cb_url": "https://www.crunchbase.com/organization/arva-ai", "github_url": "https://github.com/Arva-AI", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/2ae299aabd083b7f6ae2fc0bfa29903e922b33af.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/2eede75e26cb5f20ad98e60d0c5abbde05624639.png" ], "primary_partner": { "name": "Gustaf Alstromer", "url": "https://www.ycombinator.com/people/gustaf-alstromer" }, "founders": [ { "user_id": 527003, "full_name": "Rhim Shah", "title": "Founder/CEO", "founder_bio": "Formerly led the FinCrime product team at Revolut Business and multiple product teams at Jobandtalent. Prior to that an APM intern at Google. Studied Engineering at the University of Oxford.", "is_active": true, "linkedin_url": "https://linkedin.com/in/rhim-shah", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/560201fdbc53ae709c42ebe943c4888d076e5e7a.jpg" }, { "user_id": 880508, "full_name": "Oli Wales", "title": "Founder/CTO", "founder_bio": "Formerly lead product engineer at Opvia (YC S20), before that a full-stack engineer at Iventis, Chimnie and The Trade Desk. Studied Computer Science at the University of Cambridge.", "is_active": true, "linkedin_url": "https://linkedin.com/in/oliverfwales", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/58517dc8081e6d7ecd4040bf285d2d77cd205ed1.jpg" } ], "jobs": [ { "id": 73892, "title": "Senior Full-Stack Product Engineer", "url": "https://www.ycombinator.com/companies/arva-ai/jobs/OBPwCiU-senior-full-stack-product-engineer", "location": "London, England, GB", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "£70K - £110K GBP", "equity_range": "0.10% - 0.30%", "experience": "3+ years", "visa": "US citizenship/visa not required", "skills": [ "Node.js", "React", "React Native", "TypeScript", "Machine learning" ] }, { "id": 89529, "title": "AI Research Engineer", "url": "https://www.ycombinator.com/companies/arva-ai/jobs/Bl0vCFF-ai-research-engineer", "location": "London, England, GB", "type": "Full-time", "role": "Engineering", "role_type": "Machine learning", "salary_range": "£80K - £120K GBP", "equity_range": "0.10% - 0.30%", "experience": "3+ years", "visa": "US citizenship/visa not required", "skills": [ "Node.js", "React", "TypeScript", "Machine Learning", "Machine learning" ] }, { "id": 89530, "title": "Forward Deployed Engineer", "url": "https://www.ycombinator.com/companies/arva-ai/jobs/VWRDWCW-forward-deployed-engineer", "location": "London, England, GB", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "£80K - £110K GBP", "equity_range": "0.10% - 0.30%", "experience": "3+ years", "visa": "US citizenship/visa not required", "skills": [ "Node.js", "React", "TypeScript", "Machine Learning", "Machine learning" ] }, { "id": 89533, "title": "Head of Product", "url": "https://www.ycombinator.com/companies/arva-ai/jobs/64KMXaR-head-of-product", "location": "London, England, GB", "type": "Full-time", "role": "Product", "role_type": null, "salary_range": "£90K - £130K GBP", "equity_range": "0.40% - 0.70%", "experience": "3+ years", "visa": "US citizenship/visa not required", "skills": [] }, { "id": 95681, "title": "Strategic Customer Success", "url": "https://www.ycombinator.com/companies/arva-ai/jobs/Kb5XukH-strategic-customer-success", "location": "London, England, GB", "type": "Full-time", "role": "Support", "role_type": null, "salary_range": "£50K - £75K GBP", "equity_range": "0.05% - 0.20%", "experience": "3+ years", "visa": "US citizenship/visa not required", "skills": [] }, { "id": 97562, "title": "Enterprise Account Executive", "url": "https://www.ycombinator.com/companies/arva-ai/jobs/XlzAjf0-enterprise-account-executive", "location": "New York, NY, US", "type": "Full-time", "role": "Sales", "role_type": null, "salary_range": "$150K - $230K", "equity_range": "0.10% - 0.25%", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 107627, "title": "Head of Research", "url": "https://www.ycombinator.com/companies/arva-ai/jobs/bPPv8fg-head-of-research", "location": "London, England, GB", "type": "Full-time", "role": "Engineering", "role_type": "Engineering manager", "salary_range": "£130K - £180K GBP", "equity_range": "0.25% - 0.75%", "experience": "6+ years", "visa": "US citizen/visa only", "skills": [ "ML", "TypeScript", "AI Agents" ] } ], "news": [ { "title": "Arva AI secures $3m in Google-led funding to enhance KYB and AML automation - FinTech Global", "url": "https://fintech.global/2025/01/16/arva-ai-secures-3m-in-google-led-funding-to-enhance-kyb-and-aml-automation/", "date": "Jan 16, 2025" }, { "title": "\tGoogle's early-stage AI fund invests in KYB verification startup Arva AI", "url": "https://www.finextra.com/newsarticle/45323/google-fund-invests-in-kyb-verification-startup-arva-ai", "date": "Jan 16, 2025" }, { "title": "KYB verification startup Arva AI raises $3M", "url": "https://www.axios.com/pro/fintech-deals/2025/01/14/kyb-verification-startup-arva-ai-3-million", "date": "Jan 14, 2025" }, { "title": "Arva AI demos at Finovate main stage", "url": "https://www.businesswire.com/news/home/20250114118015/en/Finovate-Announces-First-Wave-of-Demo-Companies-for-FinovateEurope-2025", "date": "Jan 12, 2025" } ], "launches": [ { "id": 82926, "title": "Arva AI — AI agents for instant global KYB onboarding", "tagline": "We make onboarding onto a bank/fintech as a business 100x faster and significantly cheaper.", "body": "# **✨ TL;DR**\n\n[Arva AI](https://arva-ai.com) ([LinkedIn](https://www.linkedin.com/company/arva-ai/)) makes onboarding onto a bank/fintech as a business 100x faster and significantly cheaper. We've built a highly compliant AI agent that instantly handles all low/medium risk manual KYB work in real-time as a customer is onboarding, cutting reviews to seconds and ops spend by 80%.\n\n# **❌ The Problem**\n\nWhen a business onboards with a bank or fintech, a human analyst has to conduct manual verification over 40% of the time.\n\n**Why is this human review stage a problem?**\n\n* Longer onboarding times cause drop-off from the onboarding funnel (in some cases, up to 50%!). This is a huge revenue loser.\n* Large operational overheads to run compliance teams— usually in the millions for large fintechs.\n* Humans make mistakes and deviate from procedure.\n\n# **💡 Enter Arva AI**\n\nArva AI’s agents completely replace human analysts, resulting in instant onboarding for low/medium-risk cases. Arva is a modular solution that can combine with preexisting compliance stacks or completely replace them as an end-to-end platform.\n\nArva is capable of conducting advanced web due diligence on a business entity, document verification, fraudster checking, handling the back and forth with customers, and much more.\n\n![uploaded image](/media/?type=post&id=82926&key=user_uploads/527003/684e6818-ad6c-4495-8ae3-876bda10813a)\n\n**See it in action**\n\n\n\n# **🙏 Asks**\n\nIf you’re a fintech who has to conduct KYB onboarding, we’d love to discuss how we can make your onboarding times 100x faster and save you a bunch of money in the process. Book a demo [here](https://calendar.app.google/tBcxQvpgYmeymkveA), or drop us an email: [rhim@arva-ai.com](mailto:rhim@arva-ai.com). Or if you’re connected to the fintech space and there is someone you can introduce us to, please reach out!\n\n# **🦸 The team**\n\nWe’re Rhim (Oxford MEng) and Oli (Cambridge BSc), and we’ve been building products together for a while!\n\n* [Rhim](https://www.linkedin.com/in/rhim-shah/) (CEO) formerly led the FinCrime product team at Revolut Business, where he saw the extent of the manual workload during business onboarding. He also led multiple product teams at Jobandtalent. Prior to that, he was an APM intern at Google.\n* [Oli](https://www.linkedin.com/in/oliverfwales/) (CTO) was formerly the lead product engineer at Opvia (YC S20). Before that, he was a full-stack engineer at Iventis, Chimnie, and The Trade Desk.\n\n![uploaded image](/media/?type=post&id=82926&key=user_uploads/527003/ff6e2714-bf7a-4743-983d-94ef0a4f7ce6)\n\n", "url": "https://www.ycombinator.com/launches/LZW-arva-ai-ai-agents-for-instant-global-kyb-onboarding", "votes": 44, "created_at": "2024-08-12T15:11:03.797Z" } ] }, { "id": 30057, "name": "Luthor", "slug": "luthor", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/bb20b2bce4f5e0cb26cffa31072a6cc5d7bc7145.png", "website": "https://luthor.ai", "all_locations": "San Francisco, CA, USA", "long_description": "Luthor replaces fragmented compliance workflows with a single system that reviews, enforces, and logs every piece of marketing content the moment it’s created.\r\n\r\nGenerative AI has made content production effortless. Manual compliance review has not kept up. This gap is now the largest and fastest-growing source of risk in the enterprise.\r\n\r\nLuthor closes that gap completely. Every claim is checked against your policies, your regulations, and your approved sources before it goes live. Marketing teams move faster. Compliance teams gain complete confidence, with every message verified and fully auditable.\r\n\r\nTrusted by asset managers, RIAs, lenders, banks, and credit unions to operate at AI-era volume while meeting SEC, FINRA, FTC, UDAAP, and more.\r\n\r\nLuthor eliminates the gap between what companies say and what they can stand behind.", "one_liner": "Real-time governance for enterprise communications", "team_size": 3, "industry": "B2B", "subindustry": "B2B", "launched_at": 1730139932, "tags": [ "B2B", "Compliance", "Marketing", "Regtech", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Fall 2024", "status": "Active", "industries": [ "B2B" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/luthor", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2024/luthor.json", "year_founded": 2024, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/luthor", "x_url": "https://x.com/luthorai", "fb_url": null, "cb_url": "https://www.crunchbase.com/organization/luthor-ai", "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/bb20b2bce4f5e0cb26cffa31072a6cc5d7bc7145.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": 75017, "full_name": "Glenn Espinosa", "title": "Founder/CEO", "founder_bio": "Founder and CEO @ Luthor. Previously, Risk/Compliance Eng at Square.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/glennespinosa", "x_url": "https://x.com/gxespino", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/f7a8f173fe57f467e23ee99101bdc60e11a99ed2.jpg" } ], "jobs": [ { "id": 70999, "title": "Software Engineer", "url": "https://www.ycombinator.com/companies/luthor/jobs/HKrdhp0-software-engineer", "location": "San Francisco, CA, US / Remote (US)", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$125K - $180K", "equity_range": "0.10% - 1.00%", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [ "JavaScript", "PostgreSQL", "React", "Ruby on Rails" ] }, { "id": 112116, "title": "Customer Success Manager", "url": "https://www.ycombinator.com/companies/luthor/jobs/gSMsba2-customer-success-manager", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Support", "role_type": null, "salary_range": "$140K - $200K", "equity_range": "0.10% - 1.00%", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 112117, "title": "Founding Account Executive", "url": "https://www.ycombinator.com/companies/luthor/jobs/30rYvEm-founding-account-executive", "location": "San Francisco, CA, US / Remote (US)", "type": "Full-time", "role": "Support", "role_type": null, "salary_range": "$100K - $160K", "equity_range": "0.10% - 0.75%", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] } ], "news": [], "launches": [ { "id": 101719, "title": "Luthor - AI compliance infrastructure for regulated marketing", "tagline": "Luthor helps regulated teams review and approve campaigns faster without increasing compliance risk.", "body": "**TLDR: We’re building [Luthor](https://www.luthor.ai/):** AI compliance infrastructure for regulated marketing\n\n---\n\n### \n\\\n**The Problem**\n\nAt most financial services companies, a simple marketing campaign can get stuck in legal and compliance review for weeks.\n\nPeople send drafts over email, argue over disclosures in spreadsheets, lose context, and miss the market window.\n\nWith Luthor, teams upload content and instantly get:\n\n* Checks against federal, state and international regulations\n* Company policies and brand guidelines\n* The right disclosures\n* Suggestions based on past approvals and firm-specific rules\n\nEverything then lives in one place for review, approval, and audit.\n\n### **Who it’s for**\n\nOur users today include:\n\n* Financial Services (RIAs/Broker Dealers)\n* Asset managers\n* Banks/Credit unions\n* Mortgage lenders\n* Other regulated companies that run frequent campaigns\n\nIf you’re building in a regulated industry and deal with compliance-heavy marketing workflows, this might be relevant.\n\n---\n\n### **Why we started Luthor**\n\nWhen I was on Square’s risk team, I built internal tools to manage compliance reviews.\n\nTiming mattered. A campaign going out this week vs. next month could mean millions in volume.\n\nBut I kept seeing product launches miss their window, not because they were unsafe, but because the process was slow.\n\nIt was frustrating to watch good work get delayed by bad systems. That’s what led me to build Luthor.\n\n---\n\n### **What’s happened so far**\n\nWe’re live with financial services firms, mortgage lenders, marketing agencies, banks, and VC firms, and are piloting with an Am Law 10 firm.\n\nOur customers collectively represent over **$850B+ in assets under management**.\n\nAcross teams, we’re seeing review cycles shrink from weeks to hours.\n\n---\n\n### **Asks**\n\nIf you work in marketing or compliance in a regulated industry and are tired of slow approvals and bottlenecks, we’d love to talk.\n\n---\n\nBook a call [here](https://cal.com/luthor/learn-more), or email [founders@luthor.ai](mailto:founders@luthor.ai) \\\n\\\n\\-Glenn", "url": "https://www.ycombinator.com/launches/QSd-luthor-ai-compliance-infrastructure-for-regulated-marketing", "votes": 8, "created_at": "2026-05-21T15:42:50.698Z" } ] }, { "id": 30239, "name": "Cardamon", "slug": "cardamon", "former_names": [ "Openwealth" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/a3e4d26d964f7e9e8a081b6c3ec2ddad6bb65119.png", "website": "https://cardamon.ai/", "all_locations": "London, England, United Kingdom", "long_description": "Cardamon is an AI powered platform that ingests relevant regulation, understands what applies to each regulated financial firm, and gets compliance officers from regulation, to obligations, to product requirements in minutes - not weeks.\r\n\r\nFinancial firms face a host of complex regulations that make it incredibly painful to launch and maintain products in a compliant way. As a Product team at Revolut, we felt this pain deeply ourselves - we had products ready to launch but stuck in compliance limbo, often for weeks. Turns out, getting compliant took as long as building the product itself. \r\n\r\nFrustrated, we dug in and were shocked by how manual and inefficient the processes were. That’s when it clicked: there’s a huge opportunity to automate the boring stuff (and solve our own problem!). Compliance teams win because they ditch the tedious tasks. Product teams win because they ship faster. Everyone’s happy.", "one_liner": "AI compliance co-pilot for regulated financial businesses", "team_size": 11, "industry": "B2B", "subindustry": "B2B -> Finance and Accounting", "launched_at": 1740009565, "tags": [ "Fintech", "Compliance", "Regtech", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2025", "status": "Active", "industries": [ "B2B", "Finance and Accounting" ], "regions": [ "United Kingdom", "Europe" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/cardamon", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2025/cardamon.json", "year_founded": 2025, "city": "London", "country": "GB", "linkedin_url": "https://www.linkedin.com/company/cardamonai", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/a3e4d26d964f7e9e8a081b6c3ec2ddad6bb65119.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Aaron Epstein", "url": "https://www.ycombinator.com/people/aaron-epstein" }, "founders": [ { "user_id": 2331736, "full_name": "Areg Nzsdejan", "title": "Founder/CEO", "founder_bio": "Formerly Product Owner at Revolut leading Diversified Assets & Engagement teams, managing 14 engineers and launching ETFs, EU stocks and Bonds to millions of customers. Prior to that worked as a management consultant at Oliver Wyman and studied Mechanical Engineering at Imperial College London. ", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/areg-nzsdejan-85b894a1/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/9f7fd47f8c5c4f18d388ea21bff8166ba6399e9e.jpg" }, { "user_id": 2391897, "full_name": "Dmytro Astakhov", "title": "Founder/CTO", "founder_bio": "Formerly Senior Software Engineer at Revolut leading development of ETFs and EU stocks to millions of customers. ", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/dmytro-astakhov", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/c4034a64643b890ed1279beeeb6d8f2690f0f651.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 87846, "title": "Cardamon: Launch regulated products 10X faster by automating regulatory compliance with AI", "tagline": "AI powered regulatory mapping platform - getting you from regulation to product requirements in minutes", "body": "# **TL;DR**\n\n[Cardamon](https://cardamon.ai/) enables regulated financial firms to launch products, enter new markets and stay compliant 10X faster by automating regulatory mapping with AI. We cut the manual and repetitive tasks of sifting through 1000s of pages of regulation and analysing each passage - saving 100s of hours for regulated businesses. Check it out [here](https://youtu.be/EpE27zi-6JI).\n\n**Ask:** If you’re spending time & money trying to figure out what regulations apply, send us a message at [hello@cardamon.ai](mailto:hello@cardamon.ai) - we are already helping several firms cut 100s of hours from regulatory mapping work, enabling them to launch products faster\n\n# **The Problem ❌**\n\nFinancial firms face a host of complex regulations that make it incredibly painful to launch and maintain products in a compliant way. As a Product team at Revolut, we felt this pain deeply ourselves - we had products ready to launch but were stuck in compliance limbo, often for weeks. Turns out, getting compliant took as long as building the product itself.\n\nFrustrated, we dug in and were shocked by how manual and inefficient the processes were. Compliance teams would have to sift through 1000s of pages of different regulations, which they would need to understand, review and transpose into product requirements, controls & policies. These processes today are almost entirely manual, taking up hundreds of hours a year per compliance employee.\n\n# **Our** **Solution ✅**\n\nCardamon is an AI powered platform that ingests relevant regulation, understands what applies to each regulated financial firm, and gets compliance officers from regulation, to obligations, to product requirements in minutes - not weeks. \n\nCompliance officers can select any regulation they want to map to their firm. Cardamon goes through every line and evaluates:\n\n* What is applicable\n* What is an obligation \n* What the impact is\n* What the associated risks types are\n\n \n\nAdditionally, there is the option to generate controls for the obligations and query the underlying regulations with specific questions. \n\n![uploaded image](/media/?type=post&id=87846&key=user_uploads/2331736/d0972346-1b82-4c70-bd3a-1220e3ef8730)\n\nImportantly, compliance officers remain in full control with a host of features enabling them to edit, save and even download the mapping as a CSV.\n\n![uploaded image](/media/?type=post&id=87846&key=user_uploads/2331736/c8ff27c0-3e53-4524-b041-8e002a5aa711)\n\n# **Our ask 🙏**\n\nPlease reach out:\n\n* If YOU are a regulated financial company and want to launch products faster 🙂 - demos can be booked here if you want to jump straight in:  \n* If you know any regulated financial companies (fintechs, crypto firms, investment firms, banks, insurance firms) who want to launch products faster but are slowed down by compliance (pretty much all regulated financial companies!)\n\nYou can ping us on [hello@cardamon.ai](mailto:hello@cardamon.ai) \n\n# **Who we are 🤝**\n\n[Areg](https://www.linkedin.com/in/areg-nzsdejan-85b894a1/) (CEO) and [Dmytro](https://www.linkedin.com/in/dmytro-astakhov/) (CTO) have worked together at Revolut for almost 4 years in the same Investment product team. Areg was a Product Owner, heading up the Diversified Assets and Engagement teams, managing 14 engineers. Dmytro was leading the backend engineering function on these products, building from the ground up. Together they shipped cutting edge investment products to millions of users.\n\n![uploaded image](/media/?type=post&id=87846&key=user_uploads/2331736/556c5a1a-b85c-4b08-81da-c67ffcb9e3b7)\n\n", "url": "https://www.ycombinator.com/launches/Mqs-cardamon-launch-regulated-products-10x-faster-by-automating-regulatory-compliance-with-ai", "votes": 48, "created_at": "2025-02-20T02:05:17.852Z" } ] }, { "id": 33178, "name": "TovenAI", "slug": "tovenai", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/2b832a1e965bc59dfbc18a9817802870d7264332.png", "website": "https://toven.ai", "all_locations": "San Francisco, CA, USA", "long_description": "TovenAI builds a platform of AI agents that handle manual, data-intensive work for compliance teams at institutional trading firms, with six agents currently live. Our customers range from specialist firms to large global institutions, with our agents supporting multiple compliance workflows at a top-10 institutional brokerage.\r\n\r\nWith prebuilt connectors to more than 30 systems—including Bloomberg, Cloud9, and NICE Actimize—firms can onboard to our platform and evaluate results using their own data in less than a week.", "one_liner": "AI agents for compliance at institutional trading firms", "team_size": 2, "industry": "Fintech", "subindustry": "Fintech -> Banking and Exchange", "launched_at": 1786560317, "tags": [ "Fintech", "Compliance", "Regtech", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2026", "status": "Active", "industries": [ "Fintech", "Banking and Exchange" ], "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/tovenai", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2026/tovenai.json", "year_founded": 2026, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/tovenai/", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/2b832a1e965bc59dfbc18a9817802870d7264332.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": 695373, "full_name": "Batu Balci", "title": "Founder/CEO", "founder_bio": "Founder at TovenAI. Previously Quantitative Research Engineer at Citadel's Global Quantitative Strategies group. Senior Software Engineer at Salesforce. Stanford CS.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/batuhan-balci-7a3589114/", "x_url": "https://x.com/batubbalci", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/24f0a192733f83d6c638efaa5efeb8c9521f2e84.jpg" }, { "user_id": 2817439, "full_name": "Sam Turchetta", "title": "Founder/CTO", "founder_bio": "Cofounder at TovenAI. Previously worked on ML at Meta. Stanford Men’s Varsity Tennis and CS ’21.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/sam-turchetta-b14311166/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/25fb2bee3c76413e5285ab143882be546aabb6c8.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 110467, "title": "TovenAI: Your intelligent compliance stack for finance", "tagline": "AI agents for compliance at institutional trading firms that understand firm policies, analyze activity across systems, and surface what matters most", "body": "**TL;DR:** Compliance teams at institutional trading firms still spend hours manually sifting through mountains of data across recorded calls, chats, and trade records to investigate activity and produce defensible audit trails. Determining what matters requires not only finding the right data, but also interpreting activity against applicable regulations and the firm’s own policies and procedures. TovenAI is building a platform of AI agents that connects to their systems, assembles the evidence, and surfaces what matters for compliance teams at these firms—think the sales and trading businesses at banks like Bank of America and specialist brokerages like Marex.\n\nWe are live at one of the top 10 institutional trading firms in the U.S., with multiple AI agents delivering value through our platform.\n\n\n\n## **What we built**\n\nTovenAI’s agents analyze activity across existing communications and trading systems using each firm’s policies, procedures, and applicable regulations as context, assembling the relevant evidence for compliance teams.\n\nOur trade-reconstruction agent rebuilds the full sequence of a trade, links every event to its source evidence, and reduces the process from around four hours to minutes. Our electronic-communications surveillance agent reduces the false-positive burden by 3× and, in a head-to-head evaluation, delivered roughly 7× more value per alert reviewed than the market-leading incumbent.\n\nOur platform supports several other compliance workflows, giving teams broader coverage with less manual work.\n\nWith prebuilt integrations to more than 30 systems – including Bloomberg, Cloud9, CME and NICE Actimize – firms can evaluate TovenAI on their own data in under a week without replacing their existing stack.\n\n## **Why us**\n\nWe met eight years ago at Stanford. Batu later worked as a quantitative research engineer at Citadel Global Quantitative Strategies, building AI systems for quantitative research. Sam was a machine learning engineer at Meta, working on its ads recommendation systems.\n\nWe work closely with our customers and sit besides compliance officers every day. This gives us a rapid feedback loop, lets us see their workflows firsthand, and allows us to redesign compliance operations with AI at their core.\n\nSam’s mother spent her 15-year career in risk and compliance and was our first sounding board as we began exploring the space.\n\n## **Our ask**\n\nWe would love introductions to compliance leaders at firms with institutional trading businesses.\n\nThink the sales and trading divisions of banks like **JPMorgan, Bank of America, Citizens**, as well as specialist brokerages like **TP ICAP and Marex**. We are interested in firms of all sizes, from specialist brokerages to the largest global banks.\n\nIf you know a broker or trader at one of these firms, they can likely connect us with someone on their compliance team.\n\nA one-line introduction is enough, and we will take it from there.\n\nEmail us at: [**founders@toven.ai**](mailto:founders@toven.ai)\n\nLearn more about us at .", "url": "https://www.ycombinator.com/launches/Sjj-tovenai-your-intelligent-compliance-stack-for-finance", "votes": 63, "created_at": "2026-08-19T18:58:36.456Z" } ] } ]