[ { "id": 155, "name": "Insight Data Science", "slug": "insight-data-science", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/e2887e0f0ad9804a54eb3d6ed6cb6b819dfed068.png", "website": "http://insightdatascience.com", "all_locations": "Palo Alto, CA, USA", "long_description": "The Insight Data Science Fellows Program is an intensive seven week post-doctoral training fellowship bridging the gap to new careers in Data Science, Data Engineering, Health Data, and AI in Silicon Valley, New York City, Boston, Seattle and across the US with our Remote program. Insight is a Palo Alto based education startup, funded by Y Combinator and SV Angel, with 1000 alumni at hundreds of companies including Facebook, Netflix, LinkedIn, Twitter, The New York Times, Apple, Airbnb, Microsoft, Capital One, NBC, Memorial Sloan Kettering, and many others.", "one_liner": "Turning PhDs & engineers into data scientists & data engineers", "team_size": 11, "industry": "Education", "subindustry": "Education", "launched_at": 1326789868, "tags": [ "Data Science", "Data Engineering" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2011", "status": "Inactive", "industries": [ "Education" ], "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/insight-data-science", "api": "https://yc-oss.github.io/api/batches/winter-2011/insight-data-science.json" }, { "id": 778, "name": "Pachyderm", "slug": "pachyderm", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/23351b36c00bacc651a4389386057c50f0690542.png", "website": "http://pachyderm.com", "all_locations": "San Francisco, CA, USA", "long_description": "Pachyderm is a tool for production data pipelines. If you need to chain together data scraping, ingestion, cleaning, munging, wrangling, processing, modeling, and analysis in a sane way, then Pachyderm is for you. If you have an existing set of scripts which do this in an ad-hoc fashion and you're looking for a way to \"productionize\" them, Pachyderm can make this easy for you.", "one_liner": "Data Versioning, Data Pipelines, and Data Lineage", "team_size": 60, "industry": "B2B", "subindustry": "B2B -> Infrastructure", "launched_at": 1416221071, "tags": [ "Developer Tools", "Machine Learning", "Data Science" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2015", "status": "Acquired", "industries": [ "B2B", "Infrastructure" ], "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": false, "url": "https://www.ycombinator.com/companies/pachyderm", "api": "https://yc-oss.github.io/api/batches/winter-2015/pachyderm.json" }, { "id": 918, "name": "Leada", "slug": "leada", "former_names": [], "small_logo_thumb_url": "/company/thumb/missing.png", "website": "http://www.teamleada.com", "all_locations": "Los Angeles, CA, USA; Berkeley, CA, USA", "long_description": "Leada offers a data training program that companies utilize to on-board their employees in the company's data.\n\nThe data training program enables professionals to understand how to answer the common business questions they face in their role using their BI tool, SQL, R, or Python.", "one_liner": "Online enterprise training in data science and analytics.…", "team_size": 1, "industry": "Education", "subindustry": "Education", "launched_at": 1430156124, "tags": [ "eLearning", "Data Science" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2015", "status": "Inactive", "industries": [ "Education" ], "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/leada", "api": "https://yc-oss.github.io/api/batches/summer-2015/leada.json" }, { "id": 1225, "name": "Nova Credit", "slug": "nova-credit", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/4a1acae554a32ce11687de5ac7b708d914b04c5b.png", "website": "http://www.novacredit.com/", "all_locations": "New York City, NY, USA", "long_description": "Nova Credit is a credit infrastructure and analytics company that enables businesses to grow responsibly through alternative credit data. As a Consumer Reporting Agency (CRA), Nova Credit leverages its unique data infrastructure, compliance framework, and credit expertise to help lenders fill critical gaps in traditional credit analytics. The company transforms the fragmented universe of consumer financial data into compliant, actionable risk insights through a comprehensive platform designed to increase conversion through expanded coverage, speed, and reliability. Leading organizations, including HSBC, RBC, SoFi, Scotiabank, Appfolio, and Yardi, work with Nova Credit to make smarter credit decisions through cash flow underwriting with Cash Atlas™, quickly verify income with Income Navigator, and reach new-to-country consumers with Credit Passport®. Nova Credit is backed by investors including Kleiner Perkins, General Catalyst, Index Ventures, and Canapi as well as executives from Goldman Sachs, JPMorgan, and Citi. \r\n\r\nLearn more at www.novacredit.com or reach out to connect@novacredit.com. ", "one_liner": "Bridging a world of consumer-permissioned credit data", "team_size": 100, "industry": "Fintech", "subindustry": "Fintech -> Credit and Lending", "launched_at": 1461210619, "tags": [ "Fintech", "Data Science" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Summer 2016", "status": "Active", "industries": [ "Fintech", "Credit and Lending" ], "regions": [ "United States of America", "America / Canada", "Remote", "Partly Remote" ], "stage": "Growth", "app_video_public": false, "demo_day_video_public": true, "app_answers": null, "question_answers": false, "url": "https://www.ycombinator.com/companies/nova-credit", "api": "https://yc-oss.github.io/api/batches/summer-2016/nova-credit.json" }, { "id": 1555, "name": "Dost Education", "slug": "dost-education", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/f0fa55d20ad45d5a721bbcb283b5883104aecae9.png", "website": "http://www.dosteducation.com/", "all_locations": "Delhi, DL, India; Remote", "long_description": "Dost is an ed-tech nonprofit building a platform to expand access to early childhood development in low-resource settings through parent education. Our mission is to unlock children’s full potential by focusing on early learning - the time when 90% of our brains develop.\r\n \r\nWe believe that parents of any literacy level can play a critical role in developing their children’s school and life readiness. In India alone, there are 150 million under-resourced caregivers who can benefit from resources developed for them. That’s why our team at Dost Education - educators, entrepreneurs, and engineers - are passionate about using technology and user-centric product design to change the trajectory of families’ lives.\r\n\r\nSince 2017, we’ve grown from a small pilot with a few hundred mothers, to reaching over 100,000 families working with state governments. Join us as we continue to innovate, grow our reach, and deepen our impact. We are supported by some of the best funders in tech and social impact space like Y Combinator, Mulago, and many others.\r\n\r\nDost Education values diversity. We do not discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.", "one_liner": "Getting kids ready for school in India.", "team_size": 30, "industry": "Education", "subindustry": "Education", "launched_at": 1481769031, "tags": [ "Education", "Nonprofit", "India", "Data Science" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": true, "batch": "Winter 2017", "status": "Active", "industries": [ "Education" ], "regions": [ "India", "South Asia", "Remote", "Fully Remote" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": false, "url": "https://www.ycombinator.com/companies/dost-education", "api": "https://yc-oss.github.io/api/batches/winter-2017/dost-education.json" }, { "id": 11948, "name": "Centaur", "slug": "centaur", "former_names": [ "Centaur Labs" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/a8bf2233f3d639f46c87be05e11eb153ca925d88.png", "website": "https://centaur.ai/", "all_locations": "Boston, MA, USA", "long_description": "The best AI models aren’t just trained and evaluated with human data; they’re built with superhuman data. The strongest datasets emerge through collective intelligence, where humans and machines work together to outperform either one alone. At Centaur, we create superior quality data by turning annotation into an arena where experts and AI compete.", "one_liner": "We Create Superior Data By Making Annotation Competitive", "team_size": 45, "industry": "Healthcare", "subindustry": "Healthcare -> Healthcare IT", "launched_at": 1541050478, "tags": [ "Artificial Intelligence", "Data Science", "Crowdsourcing", "Data Labeling" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Winter 2019", "status": "Active", "industries": [ "Healthcare", "Healthcare IT" ], "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": false, "url": "https://www.ycombinator.com/companies/centaur", "api": "https://yc-oss.github.io/api/batches/winter-2019/centaur.json" }, { "id": 13150, "name": "Basedash", "slug": "basedash", "former_names": [ "BaseDash" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/d3e2e24bac68a97c9a4989e727ff30c5e0ac0295.png", "website": "https://www.basedash.com", "all_locations": "Montreal, QC, Canada; Remote", "long_description": "Basedash is the AI-native Business Intelligence platform. Create dashboards and instantly understand your customers using natural language. Connect 500+ data sources, ask a question, and let Basedash visualize the answer.", "one_liner": "The AI-native business intelligence platform", "team_size": 6, "industry": "B2B", "subindustry": "B2B -> Analytics", "launched_at": 1596147758, "tags": [ "SaaS", "B2B", "Data Science", "Data Visualization", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2020", "status": "Active", "industries": [ "B2B", "Analytics" ], "regions": [ "Canada", "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/basedash", "api": "https://yc-oss.github.io/api/batches/summer-2020/basedash.json" }, { "id": 22126, "name": "Mito", "slug": "mito", "former_names": [ "Saga", "Mtio" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/f1806ed31ccae256cd4739f203e4b05a30a49eea.png", "website": "http://trymito.io", "all_locations": "New York, NY, USA; Remote", "long_description": "Mito is Cursor for data science. We’re building an AI enabled IDE to 10x the productivity of data people. Data analysts use Mito to automate reports without relying on internal engineering resources. \r\n\r\nMito is used by thousands of business analysts, data scientists, and automation engineers at some of the world's largest banks, private equity shops, and consulting firms. \r\n\r\nOpen source is key to our enterprise sales strategy. Mito is open source and built on top of Jupyter. That means getting started with Mito is as simple as running `pip install` and doesn't require enterprises to manager new infrastructure. \r\n\r\nCheck us out at: https://www.trymito.io/", "one_liner": "Cursor for data analysis", "team_size": 3, "industry": "B2B", "subindustry": "B2B -> Analytics", "launched_at": 1660746128, "tags": [ "Developer Tools", "Analytics", "Open Source", "Data Science", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2020", "status": "Active", "industries": [ "B2B", "Analytics" ], "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/mito", "api": "https://yc-oss.github.io/api/batches/summer-2020/mito.json" }, { "id": 24159, "name": "Patterns", "slug": "patterns", "former_names": [ "Snapdata", "Basis", "Patterns", "Atoma" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/55e8a16f61ac33cced5393c8d68ea9f0899f1e49.png", "website": "https://patterns.app/", "all_locations": "San Francisco, CA, USA", "long_description": "Patterns revolutionizes financial analysis by making it easy and accessible through natural language. We are seeking passionate individuals excited about simplifying financial analytics and transforming business intelligence. If you're interested in joining an innovative team in the finance space, explore our job openings and become part of our mission.\r\n\r\nOur advanced AI transforms financial data workflows and reporting, surpassing traditional spreadsheets and inflexible SaaS solutions. By integrating state-of-the-art LLMs with autonomous querying and financial reasoning, Patterns empowers practitioners to perform complex analyses effortlessly via a natural language interface.", "one_liner": "Next-Gen Financial Analysis and Reporting with AI Agents", "team_size": 2, "industry": "B2B", "subindustry": "B2B -> Analytics", "launched_at": 1627403220, "tags": [ "Analytics", "Data Science", "Data Engineering", "Data Visualization" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2021", "status": "Inactive", "industries": [ "B2B", "Analytics" ], "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/patterns", "api": "https://yc-oss.github.io/api/batches/summer-2021/patterns.json" }, { "id": 26094, "name": "Cellbyte", "slug": "cellbyte", "former_names": [ "Glocally" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/cdcdb88b3fbed507fd0624712ba4d55c173500ac.png", "website": "https://www.cellbyte.com/", "all_locations": "Munich, BY, Germany", "long_description": "Cellbyte's AI agents help pharma companies launch new drugs worldwide. Market-leading firms are using Cellbyte to answer questions like “What price can we achieve for our new drug in the U.S. versus Germany?“.\r\n\r\nThe three co-founders have known and worked with each other for many years: Daniel brings 5+ years of industry experience from his previous job at leading global Life Sciences consultancy Simon-Kucher. Felix has sold $3m+ ACV deals to customers like H&M for his previous YC startup. Samuel holds an MSc in Information Systems from TUM, and has built enterprise AI applications from scratch as ML Engineer at Celonis.", "one_liner": "AI Agents for Pharma Drug Launches", "team_size": 3, "industry": "Healthcare", "subindustry": "Healthcare -> Healthcare IT", "launched_at": 1643107083, "tags": [ "Data Science", "Healthcare IT", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2022", "status": "Active", "industries": [ "Healthcare", "Healthcare IT" ], "regions": [ "Germany", "Europe" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": false, "url": "https://www.ycombinator.com/companies/cellbyte", "api": "https://yc-oss.github.io/api/batches/winter-2022/cellbyte.json" }, { "id": 27831, "name": "Neptyne", "slug": "neptyne", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/4bba48abf01450796ed84c6bb6dcb5adc2044c9a.png", "website": "https://neptyne.com", "all_locations": "New York, NY, USA", "long_description": "Neptyne is the first natively programmable spreadsheet, with a full Python environment, just like a Jupyter notebook. And we built in AI to make it easy to use, even if you’re not a Python expert. Neptyne turns anyone who can use Excel into a programmer.\r\n\r\nAt Google, Douwe launched products to millions in Search, Mobile and workplace. He founded multiple startups, and published a book on deep learning. 4 years ago Douwe rejoined Google, where he met his cofounder Jack and the rest of the team.\r\n\r\nNeptyne launched on Hacker News in February 2023, and since then users have made thousands of spreadsheets. People have built everything from option trading systems to machine learning classifiers using Neptyne.", "one_liner": "The programmable spreadsheet.", "team_size": 4, "industry": "B2B", "subindustry": "B2B", "launched_at": 1675313769, "tags": [ "Generative AI", "Data Science", "Data Visualization" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2023", "status": "Inactive", "industries": [ "B2B" ], "regions": [ "United States of America", "America / Canada", "Remote", "Partly Remote" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": false, "url": "https://www.ycombinator.com/companies/neptyne", "api": "https://yc-oss.github.io/api/batches/winter-2023/neptyne.json" }, { "id": 28802, "name": "Sohar Health", "slug": "sohar-health", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/9e3f7c771362aee962754af2fd00c6281c92c7b2.png", "website": "https://www.soharhealth.com", "all_locations": "New York, NY, USA; Remote", "long_description": "Sohar Health is an AI-driven front-end RCM solution that transforms insurance verification processes for healthcare providers, enabling faster patient conversions and reducing administrative workloads. With a 95% automation rate, our API-first platform seamlessly integrates into existing workflows to provide real-time claim accuracy and eligibility checks. \r\nKey performance metrics showcase the power of our technology: Median latency of just 6 seconds, ensuring real-time eligibility; over 90% of checks returned within 30 seconds for increased patient conversion; 96% accuracy in identifying and verifying benefits details; Industry-leading 99% accuracy for eligibility determination; >90% carve-out detection rate, mitigating surprise billing risks; a 60% success rate with our Insurance Discovery API, helping identify coverage for self-pay patients.\r\n\r\nOur customers include outpatient clinics, specialty practices, and digital health platforms looking to streamline front-end claim management. By reducing errors and maximizing clean claim submissions, Sohar Health empowers healthcare organizations to convert and retain more patients, reduce operating costs, and increase their top-line revenue.", "one_liner": "AI-powered insurance verification to boost patient conversion.", "team_size": 8, "industry": "Healthcare", "subindustry": "Healthcare -> Healthcare IT", "launched_at": 1688557144, "tags": [ "Artificial Intelligence", "Health Tech", "Digital Health", "API", "Data Science" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Summer 2023", "status": "Active", "industries": [ "Healthcare", "Healthcare IT" ], "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": true, "url": "https://www.ycombinator.com/companies/sohar-health", "api": "https://yc-oss.github.io/api/batches/summer-2023/sohar-health.json" }, { "id": 28868, "name": "Briefer", "slug": "briefer", "former_names": [ "Ergomake" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/1e589854f66150c916444527d7f4aa314d3961ed.png", "website": "https://briefer.cloud", "all_locations": "São Paulo, SP, Brazil; Remote", "long_description": "Briefer helps data scientists and analysts build interactive visualizations and data apps using a Notion-like interface.\r\n\r\nConnect to your data sources, write SQL or Python, collaborate through comments and multiplayer editing, and run code in whichever compute environments you need.", "one_liner": "The collaborative data platform.", "team_size": 2, "industry": "B2B", "subindustry": "B2B -> Engineering, Product and Design", "launched_at": 1687307247, "tags": [ "Developer Tools", "B2B", "Data Science", "Data Engineering", "Data Visualization" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2023", "status": "Inactive", "industries": [ "B2B", "Engineering, Product and Design" ], "regions": [ "Brazil", "Latin America", "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/briefer", "api": "https://yc-oss.github.io/api/batches/summer-2023/briefer.json" }, { "id": 28931, "name": "Vizly", "slug": "vizly", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/ba0d44f6e33397a7932f4616c99d34e64aaaa42c.png", "website": "https://vizly.fyi", "all_locations": "San Francisco, CA, USA", "long_description": "Vizly helps you get the most out of your data by turning it into actionable insights in seconds. Whether you're a researcher, professor, data analyst, or business leader, Vizly's AI capabilities enable you to visualize, analyze, and interpret your data effortlessly.\r\n\r\nFor example, Vizly can automatically generate interactive visualizations, perform detailed statistical analyses, and offer predictive insights, making your data analysis workflow seamless.\r\n\r\nBefore Vizly, Ali built out people-based AI recommendations at Apple and Sami built mission-critical data visualization systems at NASA's Jet Propulsion Laboratory.", "one_liner": "Data to insights in seconds", "team_size": 2, "industry": "B2B", "subindustry": "B2B -> Analytics", "launched_at": 1690922920, "tags": [ "Artificial Intelligence", "Privacy", "Data Science", "Data Visualization", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2023", "status": "Inactive", "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/vizly", "api": "https://yc-oss.github.io/api/batches/summer-2023/vizly.json" }, { "id": 28967, "name": "MantleBio", "slug": "mantlebio", "former_names": [ "DryBox Bio" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/15716b62f7c6d475631f039d985c650683ee0837.png", "website": "https://www.mantlebio.com", "all_locations": "", "long_description": "Mantle brings modern data engineering to the lab to help scientists turn insights into world-changing breakthroughs.", "one_liner": "Transform scientific data into discoveries", "team_size": 7, "industry": "B2B", "subindustry": "B2B", "launched_at": 1689053097, "tags": [ "SaaS", "Biotech", "Data Science" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2023", "status": "Inactive", "industries": [ "B2B" ], "regions": [ "Unspecified" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": false, "url": "https://www.ycombinator.com/companies/mantlebio", "api": "https://yc-oss.github.io/api/batches/summer-2023/mantlebio.json" }, { "id": 29134, "name": "Cognitio Labs", "slug": "cognitio-labs", "former_names": [ "Flair Technology Services Inc.", "Flair", "Flair Health", "Flair Technologies" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/ef89599f5919a67db2c626d5aa12b8e6f38bf8da.png", "website": "https://cognitioiq.com", "all_locations": "San Francisco, CA, USA", "long_description": "CoAsync by Cognitio Labs is the AI back office for product quality teams.\r\n\r\nWe help mission-critical food supply chains stay aligned across documents like CoAs, lab results, and supplier communication to ensure the highest-grade product quality and accuracy.\r\n\r\nBacked by Y Combinator and leading investors. The organization is deeply aligned with the Sustainable Development Goals, having presented via the the World Economic Forum's SmartStart Initiative, and the International Telecommunication Union's AI for Good program in partnership with the United Nations.\r\n\r\nWe are starting with food and expanding into other regulated, high-risk supply chains.\r\n\r\nLearn more at https://cognitioiq.com", "one_liner": "AI back office for food product quality teams", "team_size": 2, "industry": "Industrials", "subindustry": "Industrials", "launched_at": 1690407835, "tags": [ "AIOps", "B2B", "Data Science", "AI", "AI Assistant" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2023", "status": "Active", "industries": [ "Industrials" ], "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/cognitio-labs", "api": "https://yc-oss.github.io/api/batches/summer-2023/cognitio-labs.json" }, { "id": 29260, "name": "Quary", "slug": "quary", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/e54d14cc55231dd1bd8f1cfd85b8f8366f88fae7.png", "website": "https://www.quary.dev", "all_locations": "London, England, United Kingdom", "long_description": "Quary is the first analytics engineering platform that brings the entire model-test-deploy workflow into the browser. \r\n\r\nAt our first customer, a fast-growing fintech company, Quary empowers analysts in the growth team to self-serve, contribute, and reduce reliance on the data engineering team, letting teams ship metrics faster & executives get answers sooner", "one_liner": "The first in-browser analytics engineering platform", "team_size": 2, "industry": "B2B", "subindustry": "B2B -> Analytics", "launched_at": 1707148568, "tags": [ "Artificial Intelligence", "Analytics", "Data Science", "Data Engineering", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2024", "status": "Inactive", "industries": [ "B2B", "Analytics" ], "regions": [ "United Kingdom", "Europe", "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/quary", "api": "https://yc-oss.github.io/api/batches/winter-2024/quary.json" }, { "id": 29366, "name": "Metofico", "slug": "metofico", "former_names": [ "Metofico ltd" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/9fad9edec40c2dac0c3cfb3743f5450804f2ada1.png", "website": "https://metofico.com/", "all_locations": "London, England, United Kingdom; Remote", "long_description": "Metofico provides a no-code data analysis tool tailored for the life sciences. Our platform enables life scientists to analyse complex/massive datasets and extract necessary insights without needing advanced programming skills. This accessibility helps both researchers new to data science and experts save months of work.\r\n\r\nMetofico aims to be the leading centralized platform for data analysis in life science research, covering a wide range of applications from brain activity analysis (like photometry and EEG) to AI-powered detection and tracking of research animals. Our vision is to accelerate research processes and enhance the quality of research outputs across the board. By streamlining complex data analysis and making it more accessible, we’re committed to driving forward scientific discoveries and innovation.\r\n", "one_liner": "No Code Data Analysis for Life Science Research", "team_size": 2, "industry": "B2B", "subindustry": "B2B -> Engineering, Product and Design", "launched_at": 1710801203, "tags": [ "SaaS", "Data Science", "No-code", "Data Visualization" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2024", "status": "Active", "industries": [ "B2B", "Engineering, Product and Design" ], "regions": [ "United Kingdom", "Europe", "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/metofico", "api": "https://yc-oss.github.io/api/batches/winter-2024/metofico.json" }, { "id": 29375, "name": "Preloop", "slug": "preloop", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/62ebbbabf82f9c9badd0bbcb60f8749d391d5a78.png", "website": "https://www.preloop.com", "all_locations": "Seattle, WA, USA", "long_description": "Only 2 out of 10 ML models make it from experiment to production. Preloop helps automate the process of deployment, helping companies realize more value from their machine learning teams, while focusing teams' attention on science instead of engineering.", "one_liner": "Translate your experimental scripts into production ML services", "team_size": 2, "industry": "B2B", "subindustry": "B2B -> Engineering, Product and Design", "launched_at": 1702654646, "tags": [ "Artificial Intelligence", "Deep Learning", "Developer Tools", "Machine Learning", "Data Science" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2024", "status": "Active", "industries": [ "B2B", "Engineering, Product and Design" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": false, "url": "https://www.ycombinator.com/companies/preloop", "api": "https://yc-oss.github.io/api/batches/winter-2024/preloop.json" }, { "id": 29439, "name": "camelAI", "slug": "camelai", "former_names": [ "qaml (pronounced camel)", "qaml", "camelQA" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/827e037c0aea7dec71df3f417e720db6c4d41d15.png", "website": "https://camelai.com/", "all_locations": "San Francisco, CA, USA", "long_description": "For decades, companies have settled for software built for everyone, which means it's perfect for no one. They stitch together five SaaS tools to approximate one workflow, pay for seats they don't use, and file tickets with a data team just to answer a simple question.\r\n\r\nCamelAI is a different bet: your own AI software engineer, living on its own computer, building exactly what your business needs.\r\n\r\nYou describe what you want. CamelAI builds it, deploys it to a live URL, and keeps it running. No developers required, no infrastructure to manage. Next week when your process changes, you ask again. The software changes with you.\r\n\r\nThis is personal software: tools made for your team, your data, your workflows.", "one_liner": "AI software engineer that lives on its own computer", "team_size": 3, "industry": "B2B", "subindustry": "B2B -> Engineering, Product and Design", "launched_at": 1701468865, "tags": [ "SaaS", "Data Science", "Data Visualization", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2024", "status": "Active", "industries": [ "B2B", "Engineering, Product and Design" ], "regions": [ "United States of America", "America / Canada", "Remote", "Partly Remote" ], "stage": "Early", "app_video_public": true, "demo_day_video_public": false, "app_answers": null, "question_answers": false, "url": "https://www.ycombinator.com/companies/camelai", "api": "https://yc-oss.github.io/api/batches/winter-2024/camelai.json" }, { "id": 29687, "name": "MinusX", "slug": "minusx", "former_names": [ "minusone.ai", "minusx.ai" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/92dbd9d186e22d922d985755f90407e21859378a.png", "website": "https://minusx.ai", "all_locations": "San Francisco, CA, USA", "long_description": "MinusX is a state-of-the-art data agent that can build the best dashboards for your data, and notify you when something's up. You can interrogate all your data on our open source BI platform via Slack or MCP. Connect your data, and put agents to work.", "one_liner": "Open source agentic BI for founders", "team_size": 2, "industry": "B2B", "subindustry": "B2B -> Analytics", "launched_at": 1722024736, "tags": [ "Artificial Intelligence", "Machine Learning", "Analytics", "Data Science", "AI Assistant" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2024", "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/minusx", "api": "https://yc-oss.github.io/api/batches/summer-2024/minusx.json" }, { "id": 29727, "name": "Overstand Labs", "slug": "overstand-labs", "former_names": [ "Overstand Labs", "Overstand Labs Inc." ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/061e173be11210d3cca9f1b51ba89c7c5255750b.png", "website": "https://overstandlabs.com", "all_locations": "New York City, NY, USA", "long_description": "Overstand is a data lab that allows our customers to navigate any set of data in just a few minutes.\r\n\r\n*Enterprise*: For enterprises, we we unify Slack, email, calls, and operational data, then surface the signals that matter — customer needs, risks, and revenue opportunities hidden in everyday conversations.\r\n\r\n*Legal Firms*: For legal firms, we help them really quickly understand their entire discovery corpus (either before, or after document review), and quickly build out an initial case assessment and facts.\r\n\r\nInstead of waiting on reports or manual analysis, teams get immediate, evidence-backed answers from the data they already have. Overstand delivers clarity and leverage as your business scales.", "one_liner": "Navigate any set of data - no matter how large - in minutes.", "team_size": 4, "industry": "B2B", "subindustry": "B2B -> Analytics", "launched_at": 1724369845, "tags": [ "Artificial Intelligence", "LegalTech", "Data Science", "Data Engineering", "Conversational AI" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Winter 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/overstand-labs", "api": "https://yc-oss.github.io/api/batches/winter-2025/overstand-labs.json" }, { "id": 29731, "name": "Zoa Research", "slug": "zoa-research", "former_names": [ "Pastel Health", "Olive Legal", "Paradome" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/0a603d093e3e3a39d0f3743b7f24486743b3bd06.png", "website": "https://zoaresearch.com", "all_locations": "New York, NY, USA", "long_description": "Historically, quantitative models are domain specific. Brilliant people spend their best years testing features, tuning hyperparameters, and iterating architectures within a narrow domain. But scale is the panacea: large models will find patterns people, and specialized models, could not. \r\n\r\nForecasting generalizes. Zoa trains cross-domain event forecasting engines. \r\n\r\n*Automating Iteration*\r\n\r\nLLMs—embedded in multi-agent optimization loops and evaluated against fixed policies—can automate the build-test-improve modeling cycle. Think AlphaEvolve for forecasting problems.\r\n\r\n*Sample-Efficient General Models*\r\n\r\nToday’s forecasting models are narrowly crafted with deep human priors. But larger models will outperform state-of-the-art specialized models.\r\n\r\nUnlike existing event models, our models leverage data from across contexts and rely less on human intuition. And compared to LLMs, our models are built with more inductive priors and rely more heavily on inference-time compute—improving sample efficiency.\r\n\r\n*Why It Matters*\r\n\r\nIn the real economy, our models could be useful for forecasting supply chain volatility, energy supply and demand, even earthquake risk.\r\n\r\nScience is, Ian Hacking writes, the taming of chance. It is the process of iteratively updating priors (something like: identify uncertainty, conceive experiment to reduce uncertainty, execute, update). If science is uncertainty-reduction, forecasting is a critical measure of progress. \r\n\r\nBetter forecasting improves our ability to select interesting experiments (roughly those with greatest expected uncertainty reduction) and update priors. Our models will be used by labs and academics in data-heavy domains. \r\n\r\nSam's ex-girlfriend introduced him to Greg back at Carnegie Mellon in 2017, and while that relationship didn't last, their friendship has. After college, Greg went to Harvard Law School, while Sam worked for three years at Jane Street on their Options desk, building & leading a satellite dev team.", "one_liner": "Powerful quantitative forecasting models", "team_size": 5, "industry": "B2B", "subindustry": "B2B", "launched_at": 1724859181, "tags": [ "Data Science", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "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": false, "url": "https://www.ycombinator.com/companies/zoa-research", "api": "https://yc-oss.github.io/api/batches/summer-2024/zoa-research.json" }, { "id": 29767, "name": "Thunder Compute", "slug": "thunder-compute", "former_names": [ "Thunder" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/2623539c5a9dddb54681db96f38cf2be0f9428d9.png", "website": "https://www.thundercompute.com", "all_locations": "San Francisco, CA, USA", "long_description": "Thunder Compute is a systems research lab with commercial focus. We productionize GPU virtualization research to provide step-change improvements in utilization to our cloud offering and partner GPU fleets.", "one_liner": "VMware for GPUs", "team_size": 7, "industry": "B2B", "subindustry": "B2B -> Infrastructure", "launched_at": 1723245936, "tags": [ "Developer Tools", "Data Science", "Cloud Computing", "Infrastructure", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Summer 2024", "status": "Active", "industries": [ "B2B", "Infrastructure" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": true, "url": "https://www.ycombinator.com/companies/thunder-compute", "api": "https://yc-oss.github.io/api/batches/summer-2024/thunder-compute.json" }, { "id": 29966, "name": "Mica AI", "slug": "mica-ai", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/0e4f97e07f6e1a169c14a54417c11eec5688e0c6.png", "website": "https://usemica.com/", "all_locations": "San Francisco, CA, USA", "long_description": "Mica's AI agents replace the data ops teams fixing bad data.\r\n\r\nWhen bad or missing data breaks the pipeline, and orchestration, retries, and monitoring fail, painful manual review work kicks in, pulling humans in to investigate and patch data issues across systems. Mica does what those humans do: gathering the right information from internal docs and external systems, reasoning across context, and resolving errors autonomously to get the pipeline moving again.\r\n\r\nThe result: dramatically reduce time, cost, and operational drag as your data pipelines scale without scaling ops headcount. Mica turns judgment-heavy data fixes from a manual bottleneck into an automated background process with full auditability.\r\n", "one_liner": "Replace the humans fixing bad data", "team_size": 3, "industry": "B2B", "subindustry": "B2B -> Operations", "launched_at": 1720831958, "tags": [ "Data Science", "Data Engineering", "Enterprise Software" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2024", "status": "Active", "industries": [ "B2B", "Operations" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": false, "url": "https://www.ycombinator.com/companies/mica-ai", "api": "https://yc-oss.github.io/api/batches/summer-2024/mica-ai.json" }, { "id": 30042, "name": "VortexifyAI", "slug": "vortexifyai", "former_names": [ "Praxis AI", "Vortexify AI" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/cb3be511411bbaed481f911d10c8dcbfcfbc8735.png", "website": "https://www.vortexify.ai", "all_locations": "New York, NY, USA", "long_description": "Vortexify AI is a platform for building fully operational AI workflows tailored to supply chain operations. Deploy specialized, task-specific AI bots in days — not weeks. Our platform streamlines the creation of AI bots that can analyze millions of data rows, manage complex, long-horizon processes, and collaborate seamlessly with humans in the loop.\r\n\r\nEach AI bot comes equipped with custom tools maintained through AI-powered code editors directly within the Vortexify platform. Development teams can instantly generate dashboards, data pipelines, machine learning models, and custom functions — all contextualized to business goals and data requirements.\r\n\r\nBots can operate in Co-pilot or Agent (autonomous) mode. They can be scheduled or triggered by real-time alerts and are governed by robust, natural language-generated guardrail templates that ensure safety, compliance, and reliability.", "one_liner": "Build AI applications and automations for supply chain operations", "team_size": 3, "industry": "B2B", "subindustry": "B2B -> Supply Chain and Logistics", "launched_at": 1732148257, "tags": [ "IoT", "Supply Chain", "Data Science", "AI", "AI Assistant" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Fall 2024", "status": "Active", "industries": [ "B2B", "Supply Chain and Logistics" ], "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/vortexifyai", "api": "https://yc-oss.github.io/api/batches/fall-2024/vortexifyai.json" }, { "id": 30400, "name": "Plexe", "slug": "plexe", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/4911874a37ff01bfa27bb33e5f83f49e6970068e.png", "website": "https://plexe.ai", "all_locations": "London, United Kingdom", "long_description": "Plexe builds predictive ML models from a problem description. It connects to data sources, conducts experiments, evaluates and deploys the models to an API endpoint.", "one_liner": "Open-source agents to build predictive ML models from a prompt", "team_size": 2, "industry": "B2B", "subindustry": "B2B -> Engineering, Product and Design", "launched_at": 1745031118, "tags": [ "Machine Learning", "Data Science", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Spring 2025", "status": "Active", "industries": [ "B2B", "Engineering, Product and Design" ], "regions": [ "United Kingdom", "Europe" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": false, "url": "https://www.ycombinator.com/companies/plexe", "api": "https://yc-oss.github.io/api/batches/spring-2025/plexe.json" }, { "id": 30444, "name": "Percival", "slug": "percival", "former_names": [ "Percival Technologies" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/cdf1ebc7dc7ea895611a77f39a7009d41c1f8342.png", "website": "https://percy.tech", "all_locations": "San Francisco, CA, USA; Remote", "long_description": "Building an AI copilot for researchers to analyze and transform real-world data.", "one_liner": "Accelerating data analysis for research", "team_size": 3, "industry": "B2B", "subindustry": "B2B", "launched_at": 1745969288, "tags": [ "Artificial Intelligence", "Developer Tools", "Data Science" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Spring 2025", "status": "Active", "industries": [ "B2B" ], "regions": [ "United States of America", "America / Canada", "Remote", "Fully Remote" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": false, "url": "https://www.ycombinator.com/companies/percival", "api": "https://yc-oss.github.io/api/batches/spring-2025/percival.json" }, { "id": 30638, "name": "Lotas", "slug": "lotas", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/b64e79cf442071bbe251c8f19acacccc3dbf1fea.png", "website": "https://www.lotas.ai", "all_locations": "San Francisco, CA, USA", "long_description": "For our first product, we built Rao: an AI coding assistant into RStudio — an IDE used by up to 5 million data scientists and statisticians who use the R programming language to analyze data. Rao could read, write, and edit code while understanding the user's context (codebase and environmental variables).", "one_liner": "AI for Data Science and 3D", "team_size": 2, "industry": "B2B", "subindustry": "B2B -> Analytics", "launched_at": 1754374450, "tags": [ "Artificial Intelligence", "Developer Tools", "Data Science", "Data Visualization" ], "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": true, "demo_day_video_public": false, "app_answers": null, "question_answers": false, "url": "https://www.ycombinator.com/companies/lotas", "api": "https://yc-oss.github.io/api/batches/summer-2025/lotas.json" }, { "id": 30775, "name": "Fleetline", "slug": "fleetline", "former_names": [ "Axel AI" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/8008d7d50f1ead47eae177bcede0c9d614312ad4.png", "website": "https://fleetline.ai", "all_locations": "New York, NY, USA", "long_description": "Fleetline is building the first complete-context algorithmic load planner for mid to large-sized trucking fleets. Today’s dispatchers face an overwhelming task: balancing regulations, customer demands, live fleet data, and individual driver needs, all while coordinating across siloed tools and teams. Mistakes run rampant, and each mistake is thousands of dollars. Even the select fleets using algorithms that have fleet-wide context struggle: the outputs are rigid, hard to interpret, and are blind to real-world nuances like driver preferences and schedule exceptions. Fleetline solves this by combining advanced optimization with LLMs that can easily adapt algorithms to each fleet’s needs and capture driver-specific information. The result is smarter planning truly optimized for every fleet and its drivers.", "one_liner": "Optimizing fleet planning with data driven algorithms", "team_size": 11, "industry": "B2B", "subindustry": "B2B -> Supply Chain and Logistics", "launched_at": 1754335865, "tags": [ "Artificial Intelligence", "Logistics", "Supply Chain", "Data Science" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Summer 2025", "status": "Active", "industries": [ "B2B", "Supply Chain and Logistics" ], "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/fleetline", "api": "https://yc-oss.github.io/api/batches/summer-2025/fleetline.json" } ]