[ { "id": 15, "name": "Amiato", "slug": "amiato", "former_names": [ "Nou Data" ], "small_logo_thumb_url": "/company/thumb/missing.png", "website": "http://noudata.com", "all_locations": "Palo Alto, CA, USA", "long_description": "Amiato's real-time integration service moves your data to where it's\nmost valuable to you. Today's flexible databases like MongoDB and\nCouchBase let agile businesses accelerate and scale their operations,\nbut analyzing their data has been elusive. Amiato unlocks the value of\nthat unstructured data by bridging the gap to familiar tools in the\nrich structured world of BI, all with zero setup work. Run reports, do\ninteractive ad-hoc analysis, and combine disparate silos. Our\nSchema-lift (TM) technology allows you to immediately integrate new\nendpoints and seamlessly keep up with changes in your data. We get\ncustomers up and running in a day instead of weeks, and let them focus\non business instead of wrestling infrastructure.", "one_liner": "The BI bridge for unstructured data. We automatically bridge the gap…", "team_size": 2, "industry": "B2B", "subindustry": "B2B -> Infrastructure", "launched_at": 1322045630, "tags": [ "Analytics", "Big Data" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2012", "status": "Acquired", "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": false, "url": "https://www.ycombinator.com/companies/amiato", "api": "https://yc-oss.github.io/api/batches/winter-2012/amiato.json" }, { "id": 89, "name": "Citus Data", "slug": "citus-data", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/202e7e02db190c7ab3eef78d63f9fe5d31e43275.png", "website": "http://citusdata.com", "all_locations": "San Francisco, CA, USA; Istanbul, Istanbul, Turkey; Amsterdam, NH, Netherlands", "long_description": "The amount of time businesses spend on their databases is altogether too much time. Citus is fixing this problem.\r\n\r\nCitus is worry-free Postgres. Built to scale out, Citus is an extension to Postgres that is available as open source, as enterprise software that can be run on-prem or on any cloud, and as a fully-managed database as a service. Whether you have a multi-tenant application that needs to scale out, or you need performance for your real-time analytics customers, with Citus, you can focus on your app—not your database.\r\n\r\nFounded in 2011, Citus Data is venture backed by Khosla Ventures and Data Collective. Citus is a Y Combinator alumnus and has offices in San Francisco’s SoMa district and Istanbul, Turkey. \r\n\r\nAt Citus, we make it simple to scale out Postgres. \r\n\r\nCitus Data online: www.citusdata.com\r\nDocumentation: docs.citusdata.com\r\nGitHub: github.com/citusdata/citus", "one_liner": "Real-time. Big data. PostgreSQL", "team_size": 45, "industry": "B2B", "subindustry": "B2B -> Infrastructure", "launched_at": 1326789195, "tags": [ "Open Source", "Big Data", "Databases" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2011", "status": "Acquired", "industries": [ "B2B", "Infrastructure" ], "regions": [ "United States of America", "Turkey", "Netherlands", "America / Canada", "Middle East and North Africa", "Europe", "Remote", "Partly Remote" ], "stage": "Growth", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": false, "url": "https://www.ycombinator.com/companies/citus-data", "api": "https://yc-oss.github.io/api/batches/summer-2011/citus-data.json" }, { "id": 441, "name": "Mattermark", "slug": "mattermark", "former_names": [], "small_logo_thumb_url": "/company/thumb/missing.png", "website": "http://mattermark.com", "all_locations": "San Francisco, CA, USA", "long_description": "At Mattermark, we’re accelerating sales and deal making through data and automation. Mattermark collects and organizes comprehensive information on the world’s fastest growing companies. In minutes, get actionable data that lets you pinpoint the companies and people you need to know or do business with. Today, over 500 companies use Mattermark to discover high quality leads, prioritize prospects and increase conversion rates.", "one_liner": "Big Data Meets Startup Investing\r\n\r\nThe best tool for tracking and…", "team_size": 11, "industry": "B2B", "subindustry": "B2B -> Sales", "launched_at": 1336096961, "tags": [ "Investing", "Big Data" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2012", "status": "Acquired", "industries": [ "B2B", "Sales" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": false, "url": "https://www.ycombinator.com/companies/mattermark", "api": "https://yc-oss.github.io/api/batches/summer-2012/mattermark.json" }, { "id": 473, "name": "Scuba", "slug": "interana", "former_names": [ "Interana" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/75095731e25d34e505b54386e1fbac0016ef69ea.png", "website": "https://www.scuba.io", "all_locations": "", "long_description": "Scuba is the fast and scalable event-based analytics solution to answer critical business questions about how customers behave and products are used. Interana allows users to analyze and explore the key business metrics that matter most in a data-driven world – such as growth, retention, conversion and engagement – in seconds, rather than the hours or days it often takes with existing solutions. Interana allows customers to discover and investigate these key insights easily through its visual and interactive interface, which makes data analysis a natural extension of everyone’s workflow.", "one_liner": "Analytics for impatient people.", "team_size": 51, "industry": "B2B", "subindustry": "B2B -> Analytics", "launched_at": 1354492621, "tags": [ "Analytics", "Big Data", "Data Engineering", "Data Visualization" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2013", "status": "Acquired", "industries": [ "B2B", "Analytics" ], "regions": [ "Remote", "Partly Remote" ], "stage": "Growth", "app_video_public": false, "demo_day_video_public": false, "app_answers": true, "question_answers": false, "url": "https://www.ycombinator.com/companies/interana", "api": "https://yc-oss.github.io/api/batches/winter-2013/interana.json" }, { "id": 1051, "name": "Gecko Robotics", "slug": "gecko-robotics", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/eb7bd253bc194c1e1245a6c643b86e65d530a53f.png", "website": "https://www.geckorobotics.com", "all_locations": "Pittsburgh, PA, USA; Austin, TX, USA", "long_description": "Gecko Robotics is the pioneer of AI + Robotics [AIR technology], transforming how the world builds, operates, and maintains its most critical infrastructure for a more reliable and sustainable future. Using fixed sensors and robots that climb, crawl, swim, and fly, we combine first-order data layers with the predictive power of AI into a single source of truth for the physical world. Cantilever™ is our operating platform, powered by AIR technology, that empowers teams to achieve operational excellence through actionable data for immediate and long-term planning.", "one_liner": "AI + Robotics for the Built World", "team_size": 230, "industry": "Industrials", "subindustry": "Industrials -> Manufacturing and Robotics", "launched_at": 1447653915, "tags": [ "Artificial Intelligence", "Robotics", "Energy", "Big Data", "Data Engineering" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Winter 2016", "status": "Active", "industries": [ "Industrials", "Manufacturing and Robotics" ], "regions": [ "United States of America", "America / Canada", "Remote", "Partly Remote" ], "stage": "Growth", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": true, "url": "https://www.ycombinator.com/companies/gecko-robotics", "api": "https://yc-oss.github.io/api/batches/winter-2016/gecko-robotics.json" }, { "id": 1536, "name": "Terark", "slug": "terark", "former_names": [], "small_logo_thumb_url": "/company/thumb/missing.png", "website": "http://www.terark.com", "all_locations": "Beijing, Beijing, China", "long_description": "Terark built a new storage engine for Database and Data Systems. Our technology enables direct search on highly compressed data, with 200X faster read performance and more than 10X storage savings (better than Google's LevelDB, Facebook's RocksDB), getting larger scalability with lower cost for big data applications. Alibaba is our paying customer, and we are a YCombinator company.", "one_liner": "Fastest Storage Engine with the Best Compression, we enables direct…", "team_size": 2, "industry": "B2B", "subindustry": "B2B -> Infrastructure", "launched_at": 1478745619, "tags": [ "Big Data", "Cloud Computing" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2017", "status": "Acquired", "industries": [ "B2B", "Infrastructure" ], "regions": [ "China", "East Asia" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": false, "url": "https://www.ycombinator.com/companies/terark", "api": "https://yc-oss.github.io/api/batches/winter-2017/terark.json" }, { "id": 12598, "name": "Narrator", "slug": "narrator", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/18139ce5e1ad199f99ea66921af1fd68a63f6e95.png", "website": "https://www.narratordata.com/", "all_locations": "New York, NY, USA; Remote", "long_description": "Narrator is an end-to-end platform built on top of the data standard, the Activity Schema and starting at $500/mo. Data analyst are able to build their definitions of their user journey, and use that journey to answer any question that comes up. From there, data can be visualized in a dashboard, used to build a story like analysis, exported and more. \r\n\r\nThe biggest values of Narrator is Speed and Cost reduction. Small teams are able to move fast and answer questions in minutes allowing them to preform the work of very large data teams. All while Narrator is optimized to minimize compute cost of the warehouse.", "one_liner": "The only platform that can prep data to answer EVERY question you…", "team_size": 8, "industry": "B2B", "subindustry": "B2B -> Infrastructure", "launched_at": 1556223953, "tags": [ "Analytics", "Big Data", "Data Engineering" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2019", "status": "Inactive", "industries": [ "B2B", "Infrastructure" ], "regions": [ "United States of America", "America / Canada", "Remote", "Fully Remote" ], "stage": "Growth", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": false, "url": "https://www.ycombinator.com/companies/narrator", "api": "https://yc-oss.github.io/api/batches/summer-2019/narrator.json" }, { "id": 22091, "name": "Supabase", "slug": "supabase", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/9e8c106f46123a6f28b7a7da41f0ee695da48786.png", "website": "https://supabase.com", "all_locations": "San Francisco, CA, USA; Remote", "long_description": "Supabase is the easiest way to get started with Postgres. \r\n\r\nEach project within Supabase is an isolated Postgres cluster, allowing customers to scale independently, while still providing the features that you need to build: instant database setup, auth, row level security, realtime data streams, auto-generating APIs, and a simple to use web interface.\r\n\r\nWe are 100% remote.\r\n\r\n", "one_liner": "Build in a weekend. Scale to millions.", "team_size": 120, "industry": "B2B", "subindustry": "B2B -> Infrastructure", "launched_at": 1596180346, "tags": [ "Developer Tools", "Open Source", "Big Data", "Data Engineering", "Databases" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2020", "status": "Active", "industries": [ "B2B", "Infrastructure" ], "regions": [ "United States of America", "America / Canada", "Remote", "Fully Remote" ], "stage": "Growth", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": false, "url": "https://www.ycombinator.com/companies/supabase", "api": "https://yc-oss.github.io/api/batches/summer-2020/supabase.json" }, { "id": 24156, "name": "Lariat Data", "slug": "lariat-data", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/48e2e81fa04d812d60bdd7e093944b8090c8742d.png", "website": "https://www.lariatdata.com", "all_locations": "New York, NY, USA", "long_description": "Lariat is a Continuous Data Quality monitoring platform to discover data bugs before your consumers do. Ensure data products don’t break even as business logic, input data and infrastructure change.\r\n\r\nUse Lariat to define and then automatically extract, store and visualize data quality metrics on raw event-level data through to delivered data products.\r\n", "one_liner": "Observability for Data Engineering Teams", "team_size": 3, "industry": "B2B", "subindustry": "B2B -> Engineering, Product and Design", "launched_at": 1626560864, "tags": [ "Machine Learning", "Big Data", "Data Engineering" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2021", "status": "Inactive", "industries": [ "B2B", "Engineering, Product and Design" ], "regions": [ "United States of America", "America / Canada", "Remote", "Partly Remote" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": false, "url": "https://www.ycombinator.com/companies/lariat-data", "api": "https://yc-oss.github.io/api/batches/summer-2021/lariat-data.json" }, { "id": 24195, "name": "Tarsal", "slug": "tarsal", "former_names": [ "V-diff", "vdiff" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/75747b61e59eadbd8831c406fbe1beed2fd4957b.png", "website": "https://www.tarsal.co/", "all_locations": "New York, NY, USA; San Francisco, CA, USA; Remote", "long_description": "Tarsal is a data pipeline custom built for security teams. As security data grows 25% year over year, security teams desperately need access to best-in-class data infrastructure. Tarsal bridges the gap between the modern data stack and security teams, pioneering the modern security data stack. \r\n", "one_liner": "Data pipeline for your security data lake.", "team_size": 10, "industry": "B2B", "subindustry": "B2B -> Security", "launched_at": 1680491615, "tags": [ "B2B", "Cybersecurity", "Big Data", "Data Engineering" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2021", "status": "Acquired", "industries": [ "B2B", "Security" ], "regions": [ "United States of America", "America / Canada", "Remote", "Fully Remote" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": false, "url": "https://www.ycombinator.com/companies/tarsal", "api": "https://yc-oss.github.io/api/batches/summer-2021/tarsal.json" }, { "id": 24499, "name": "Endla", "slug": "endla", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/3964fbff527341490472ba6e23806a1eec6a7469.png", "website": "https://endla.com", "all_locations": "Brisbane, QLD, Australia; Remote", "long_description": "Endla increases the value of oil & gas wells by providing software that helps design the well that maximizes ROI.\r\n\r\nOur product AlphaSpace, optimizes the well design by automatically producing many high-quality options which the engineer can then measure against their business objectives (auto-design). Having software that finds the optimal solution, empowers the engineer to work a layer up on understanding the problem and specifying the important objectives.\r\n\r\nOur vision is to make auto-design and auto-operation software part of the workflow for every engineer working with physical assets.", "one_liner": "Software that increases the value of oil & gas wells", "team_size": 8, "industry": "B2B", "subindustry": "B2B -> Engineering, Product and Design", "launched_at": 1625096409, "tags": [ "Analytics", "Energy", "Big Data" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2021", "status": "Active", "industries": [ "B2B", "Engineering, Product and Design" ], "regions": [ "Australia", "Oceania", "Remote", "Fully Remote" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": false, "url": "https://www.ycombinator.com/companies/endla", "api": "https://yc-oss.github.io/api/batches/summer-2021/endla.json" }, { "id": 26860, "name": "NewsCatcher", "slug": "newscatcher", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/4e6df1d33e5151e6b36a83a91e94b8bb2550c930.png", "website": "https://newscatcherapi.com/", "all_locations": "Kyiv, Ukraine; Remote", "long_description": "CatchAll by NewsCatcher is a recall-first web search API built for queries where the results are spread across hundreds or thousands of pages on the web. Instead of returning the top ranked links like traditional search engines, CatchAll retrieves a large candidate set from the web, validates which pages actually match the query, and extracts structured records of real-world events.\r\n\r\nDevelopers and data teams use CatchAll to answer “long-list” questions such as tracking regulatory actions, funding rounds, product launches, corporate expansions, or cybersecurity incidents. The output is not just links but clean, deduplicated datasets that can power AI agents, monitoring systems, analytics pipelines, and market intelligence workflows.\r\n\r\nCatchAll runs on the data infrastructure developed by NewsCatcher, which continuously indexes millions of articles and public web pages across a global network of sources.", "one_liner": "Turning the web into a structured database of real world events.", "team_size": 22, "industry": "B2B", "subindustry": "B2B -> Analytics", "launched_at": 1659698356, "tags": [ "Artificial Intelligence", "SaaS", "Enterprise", "Big Data", "Enterprise Software" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Summer 2022", "status": "Active", "industries": [ "B2B", "Analytics" ], "regions": [ "Ukraine", "Europe", "Remote", "Fully Remote" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": true, "url": "https://www.ycombinator.com/companies/newscatcher", "api": "https://yc-oss.github.io/api/batches/summer-2022/newscatcher.json" }, { "id": 28787, "name": "Deasy Labs", "slug": "deasy-labs", "former_names": [ "Deasie" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/b2f7a8dffc7dc8a6fdb4c13dce765cc7d2820b9a.png", "website": "https://www.deasylabs.com/", "all_locations": "New York City, NY, USA", "long_description": "Deasy Labs was acquired by Collibra in July 2025 (global leader in enterprise data governance).\r\n\r\nDeasy Labs provides metadata orchestration for AI workflows. Deasie's platform provides the best way for AI teams to create and embed high-quality, customized metadata into their AI workflows (e.g., RAG, Agentic frameworks).\r\n\r\nOur three founders (from Amazon, McKinsey/QuantumBlack & MIT) previously built an ML data governance tool from 0 to 1 within McKinsey, which we deployed with 11 Fortune 500 companies. We saw in early 2023 the ability to create high-quality metadata (without reliance on domain experts) would be a key factor in achieving the accuracy & speed in GenAI applications required for production. \r\n\r\nOur investors include General Catalyst, Y Combinator, RTP Global and world experts in enterprise data. Website: https://deasylabs.com", "one_liner": "Metadata for GenAI workflows", "team_size": 8, "industry": "B2B", "subindustry": "B2B -> Analytics", "launched_at": 1691123582, "tags": [ "Artificial Intelligence", "Data Labeling", "Big Data", "AI Assistant", "Databases" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2023", "status": "Acquired", "industries": [ "B2B", "Analytics" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": false, "url": "https://www.ycombinator.com/companies/deasy-labs", "api": "https://yc-oss.github.io/api/batches/summer-2023/deasy-labs.json" }, { "id": 28981, "name": "CambioML", "slug": "cambioml", "former_names": [ "WAN", "WAN.ai" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/4c2936168c1d24afabd8456dc03d4a2255c01c1f.png", "website": "https://energent.ai/", "all_locations": "San Francisco, CA, USA", "long_description": "Energent.ai turns every knowledge worker into a top performer by pairing them with an AI teammate. We streamline manual workflows without integrations, democratize automation with zero code, and move beyond passive chatbots to deliver real, visible output — all securely within the enterprise environment.", "one_liner": "AI Teammate to Enable Every Knowledge Worker to Be a Top Performer", "team_size": 3, "industry": "B2B", "subindustry": "B2B", "launched_at": 1690762424, "tags": [ "Productivity", "Big Data", "Automation", "AI Assistant" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2023", "status": "Active", "industries": [ "B2B" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": false, "url": "https://www.ycombinator.com/companies/cambioml", "api": "https://yc-oss.github.io/api/batches/summer-2023/cambioml.json" }, { "id": 29182, "name": "Upsolve AI", "slug": "upsolve-ai", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/584af51898d885eead8c1806789fece6d7acaff0.png", "website": "https://upsolve.ai/", "all_locations": "", "long_description": "Upsolve AI is the analytics platform for deploying governed, grounded, and trustworthy data agents that know your business. Data teams use Upsolve's Agent Studio to get to AI-ready data foundations fast, unify and curate their context layer, and test, tune and monitor their Upsolve Data Agent to their benchmark. The company is founded by Ka Ling Wu and Serguei Balanovich, who built a similar product at Palantir before (featured in Palantir's S-1), growing it to 50+ enterprise customers and 8-figures of annual revenue in 2 years.", "one_liner": "Deploy trustworthy data agent that know your business", "team_size": 5, "industry": "B2B", "subindustry": "B2B -> Analytics", "launched_at": 1699320905, "tags": [ "Developer Tools", "B2B", "Analytics", "Big Data", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Winter 2024", "status": "Active", "industries": [ "B2B", "Analytics" ], "regions": [ "Remote", "Partly Remote" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": false, "url": "https://www.ycombinator.com/companies/upsolve-ai", "api": "https://yc-oss.github.io/api/batches/winter-2024/upsolve-ai.json" }, { "id": 29745, "name": "Sharpe", "slug": "sharpe", "former_names": [ "January", "Lumenary", "Lumenary, Inc.", "Lumenary" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/ed377f5e3e709abc9139475076cec71316b01c06.png", "website": "https://sharpe.sh", "all_locations": "San Francisco, CA, USA", "long_description": "Sharpe helps traders go from idea to profit in minutes with AI, bundling petabytes of market data with high-performance infrastructure. 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Companies like Dutch.com use our SDK to build better agents.\r\n\r\nAlex and Tyler met at a high-growth E-Commerce startup where Tyler was running Technology & Data. Together, they built AI products that bootstrapped the company profitably to $100MM in Revenue.", "one_liner": "The Agent Analytics Platform", "team_size": 6, "industry": "B2B", "subindustry": "B2B -> Engineering, Product and Design", "launched_at": 1722887304, "tags": [ "Developer Tools", "Generative AI", "Analytics", "Big Data", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2024", "status": "Active", "industries": [ "B2B", "Engineering, Product and Design" ], "regions": [ "United States of America", "America / Canada", "Remote", "Partly Remote" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": false, "url": "https://www.ycombinator.com/companies/voker", "api": "https://yc-oss.github.io/api/batches/summer-2024/voker.json" }, { "id": 29987, "name": "Syntra", "slug": "syntra", "former_names": [ "Lightning Medical" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/a6d299272e28e28fc0eef5034541be246b698d0b.png", "website": "https://www.syntra.com", "all_locations": "San Francisco, CA, USA", "long_description": "Syntra is a real-time medical AI audit platform for revenue, compliance, and care quality. \r\n\r\nIn our first year post launch, Syntra has already audited over 1M patient encounters and over $200M in insurance collections, supporting hundreds of practice locations nationwide.\r\n\r\nOur customers start with Syntra’s chart and claim audit and build additional agents from there. Our agents learn each practice’s workflows, payer rules, and software stack on its own, enabling us to give every clinic in the country the operating efficiency they need to stay independent.", "one_liner": "Medical chart intelligence", "team_size": 10, "industry": "Healthcare", "subindustry": "Healthcare -> Healthcare IT", "launched_at": 1723733582, "tags": [ "Artificial Intelligence", "Big Data", "Healthcare IT" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Summer 2024", "status": "Active", "industries": [ "Healthcare", "Healthcare IT" ], "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": false, "url": "https://www.ycombinator.com/companies/syntra", "api": "https://yc-oss.github.io/api/batches/summer-2024/syntra.json" }, { "id": 30045, "name": "Archil", "slug": "archil", "former_names": [ "Neptune Storage", "Regatta Storage" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/0695554aaa43f831a6d970c73486aad8f7a9101f.png", "website": "https://archil.com", "all_locations": "San Francisco, CA, USA", "long_description": "Archil transforms S3 buckets into a 30x faster, unlimited, local disk. Archil enables AI, analytics, and serverless applications to instantly access massive data sets without waiting for data transfer. 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Serving every frontier AI lab.", "one_liner": "Applied research lab curating data solutions for foundation model…", "team_size": 30, "industry": "B2B", "subindustry": "B2B -> Infrastructure", "launched_at": 1738219847, "tags": [ "Artificial Intelligence", "B2B", "Data Labeling", "Big Data", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Winter 2025", "status": "Active", "industries": [ "B2B", "Infrastructure" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Growth", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": false, "url": "https://www.ycombinator.com/companies/afterquery", "api": "https://yc-oss.github.io/api/batches/winter-2025/afterquery.json" }, { "id": 30507, "name": "ParaQuery", "slug": "paraquery", "former_names": [ "Hypermorphic" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/023b1fec88d11ac0cc00d33e137188a1088f80f1.png", "website": "https://paraquery.com", "all_locations": "New York, NY, USA; Remote", "long_description": "ParaQuery is a fully-managed GPU-accelerated Spark solution providing double the performance at half the cost compared to solutions like Databricks and BigQuery. It is fully Spark-compatible, cloud agnostic, and has seamless integrations everywhere, all without vendor lock-in. ParaQuery makes it trivial to run large SQL and Spark workloads efficiently and serverlessly, without any data migrations.", "one_liner": "Managed GPU-accelerated Spark + SQL at 2x speed and half the cost", "team_size": 1, "industry": "B2B", "subindustry": "B2B -> Infrastructure", "launched_at": 1745603504, "tags": [ "Developer Tools", "Analytics", "Big Data", "Enterprise Software", "Infrastructure" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Spring 2025", "status": "Active", "industries": [ "B2B", "Infrastructure" ], "regions": [ "United States of America", "America / Canada", "Remote", "Fully Remote" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": false, "url": "https://www.ycombinator.com/companies/paraquery", "api": "https://yc-oss.github.io/api/batches/spring-2025/paraquery.json" }, { "id": 30622, "name": "Liva AI", "slug": "liva-ai", "former_names": [ "Symbia", "Liva" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/6d577992606b8392c9619b8dffacec074b48668d.png", "website": "https://www.theliva.ai", "all_locations": "San Francisco, CA, USA", "long_description": "Speech models trained on internet data still lack realistic results. We solve this by collecting targeted training data for model labs. We hope to create a world where AI feels more human.", "one_liner": "Audio & Video Data", "team_size": 4, "industry": "B2B", "subindustry": "B2B", "launched_at": 1753401226, "tags": [ "Marketplace", "B2B", "Data Labeling", "Big Data", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Summer 2025", "status": "Active", "industries": [ "B2B" ], "regions": [ "United States of America", "America / Canada", "Remote", "Partly Remote" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": false, "url": "https://www.ycombinator.com/companies/liva-ai", "api": "https://yc-oss.github.io/api/batches/summer-2025/liva-ai.json" }, { "id": 30748, "name": "Pleom", "slug": "pleom", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/3b1e76d8c0743b28030c0f3c37f0d0bfa7f51272.png", "website": "https://pleom.com", "all_locations": "New York City, NY, USA", "long_description": "Automatic insights on all your company data. Speed up business workflows to visualizations with a 0 learning curve.", "one_liner": "Agentic Business Intelligence", "team_size": 0, "industry": "B2B", "subindustry": "B2B -> Analytics", "launched_at": 1755614874, "tags": [ "Artificial Intelligence", "Generative AI", "Analytics", "Big Data", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2025", "status": "Active", "industries": [ "B2B", "Analytics" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": false, "url": "https://www.ycombinator.com/companies/pleom", "api": "https://yc-oss.github.io/api/batches/summer-2025/pleom.json" }, { "id": 30846, "name": "Parse", "slug": "parse-bot", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/fd2b15ce8a8e404c0ec54c33a17f938963c26455.png", "website": "https://parse.bot", "all_locations": "San Francisco, CA, USA", "long_description": "Parse lets developers build APIs for any website. Unlike traditional scraping tools that rely on slow, expensive headless browsers, Parse examines websites' underlying network requests and generates API endpoints automatically. This makes Parse 10-100x faster and cheaper than browser automation,. ", "one_liner": "Build an API to interact with any website.", "team_size": 2, "industry": "B2B", "subindustry": "B2B", "launched_at": 1761590739, "tags": [ "Developer Tools", "API", "Big Data" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Fall 2025", "status": "Active", "industries": [ "B2B" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": false, "url": "https://www.ycombinator.com/companies/parse-bot", "api": "https://yc-oss.github.io/api/batches/fall-2025/parse-bot.json" }, { "id": 30899, "name": "Sciloop", "slug": "sciloop", "former_names": [ "SciLoop" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/f01d1e4f95660e72f930c4f8b2542e2224dc9107.png", "website": "https://sciloop.dev", "all_locations": "San Francisco, CA, USA", "long_description": "Sciloop creates expert-level math and physics problems that frontier AI models can't solve, then sells the data to AI labs for training and evaluation. Our problems are created by IPhO and IMO medalists — the top 0.01% of STEM talent globally. On our benchmark, models like GPT 5.4 Pro and Gemini 3.1 Pro score 0-5% on our hardest problems. We work with AI labs to supply continuous, fresh training data that pushes the frontier of mathematical and scientific reasoning. 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