Machine Learning Startups funded by Y Combinator (YC) in the San Francisco Bay Area that are currently hiring 2024

May 2024

Browse 22 of the top Machine Learning startups funded by Y Combinator. Headquartered in the San Francisco Bay Area, these are some of the hottest and fastest-growing startups. Their teams are well-funded and actively hiring.

We also have a Startup Directory where you can search through over 5,000 companies.

  • Scale AI
    Scale AI (s2016)Active • 500 employees • San Francisco, CA, USA
    Scale accelerates the development of AI within organizations of any size to deliver critical business insights and operational efficiency. Its data-centric infrastructure platform leverages RLHF (Reinforced Learning with Human Feedback) to help organizations build the strongest AI models that supercharge their business, with customers across industries including Meta, Microsoft, U.S. Army, DoD’s Defense Innovation Unit, Open AI, General Motors, Toyota Research Institute, Brex, Instacart and Flexport.
    artificial-intelligence
    machine-learning
  • AgileMD
    AgileMD (s2011)Active • 15 employees • San Francisco, CA, USA
    At AgileMD, we are building the most advanced real-time predictive analytics and clinical algorithms platform for hospitals. Our cloud-based engine helps thousands of doctors and nurses around the country make medical decisions, so that every patient receives the highest quality and value of care based on the latest medical knowledge and data.
    machine-learning
    healthcare
  • Theorem
    Theorem (w2014)Active • 34 employees • San Francisco, CA, USA
    Theorem conducts independent underwriting of consumer loans originated by banks, credit cards companies and other lenders. We utilize this information to manage institutional capital and securitize loans
    fintech
    machine-learning
  • PicnicHealth
    PicnicHealth (s2014)Active • 100 employees • San Francisco, CA, USA
    Healthcare needs good data. At PicnicHealth, we are building deep real-world datasets fueling cutting-edge research while giving patients control of their own medical record data. These complete, clinically-rich datasets produce unique insights — across dozens of diseases — to ultimately get the right treatments into patients’ hands faster. We work directly with patients and leverage state of the art machine learning to transform messy medical records into structured, research-ready datasets. To date we’ve helped tens of thousands of patients securely access their records and proactively contribute to advancing research in diseases that impacts their lives.
    machine-learning
    health-tech
    digital-health
    healthcare
    nlp
  • Tempo
    Tempo (w2015)Active • 158 employees • San Francisco, CA, USA
    SmartSpot is a post Series-A stealth startup backed by Founders Fund and Khosla Ventures that uses computer vision to deliver an unparalleled fitness training experience to your home. Our unique hardware solution gives amazing trainers the ability to see their class participants in real time and deliver detailed advice that was previously only possible in person.
    machine-learning
    consumer-health-services
  • Bountiful
    Bountiful (w2017)Active • 4 employees • San Francisco, CA, USA
    We’re on a mission to optimize the agricultural industry. When we started Bountiful in 2015, the grape error rate for predicting production was 30 percent. Why? We found that many farmers in the specialty crops space were still using traditional pencil-and-paper techniques to predict yield. These low-fidelity forecasting methods weren’t giving them a clear enough understanding of their production until it was too late, leading to waste and inefficiency throughout the supply chain. We saw a problem we wanted to solve. Today, Bountiful is using advanced data science to help farmers forecast more accurately, so they can make better decisions. In the last three years, we’ve combined the latest in machine learning with weather, satellite, geographic, and historical data. The result is a user-friendly platform that transforms volumes of complex agricultural information into simple, actionable insights farmers can use to run more economically and environmentally sustainable farms. More recently, we’re working to open the dialogue between buyers and sellers, remove uncertainty, and provide clarity to the supply chain to meet global food demand. Our ultimate goal is to close the agricultural margin of error. Not only will this make individual farms more efficient, profitable, and sustainable, but it will help optimize the global food supply chain. That means healthier people and a healthier planet.
    machine-learning
    marketplace
    analytics
    agriculture
  • Veryfi, Inc.
    Veryfi, Inc. (w2017)Active • 60 employees • San Mateo, CA, USA
    Veryfi is a Data Transformation Platform turning Documents into Data in Seconds with Accuracy & Speed Surpassing Humans. Veryfi gives you a fully integrated suite of data transformation products for you to securely capture, extract and transform bills, receipts and invoices into structured data for use in your app, website or backoffice. To learn more https://www.veryfi.com/ ITS TIME TO BUILD Veryfi's developer friendly toolkits enable superior products that automate Expense Management, AP/Bill Pay, Bookkeeping and provide consumer spend behavior in Market Research Invoices, Bills & POs 10 mins of data entry per invoice? No way! 5 seconds and it's done. Untap a goldmine of data down to line-items. Expense Receipts No more painful data entry for expense reimbursement. Bonus: comply with new data privacy regulations. FMCG/CPG Receipts Data is the new oil. Understand consumer spend across retail from SKUs in seconds. Hotel Folios Supercharge your travel & expense management product with a wealth of data minus the tedious data entry. W-2 Tax Form β Extract every drop of tax data from W2s in seconds. Including handwritten notes, checkboxes and multi-lines. Cards β Capture and extract data Credit Cards, Business Cards and Healthcare Insurance Cards in seconds. More: https://www.veryfi.com/
    artificial-intelligence
    machine-learning
    computer-vision
    api
  • Koko
    Koko (s2017)Active • 25 employees • Palo Alto, CA, USA
    Full Sleep by Koko Labs is the first at-home sleep program that combines the power of clinical grade, radar based wireless sleep tracking with best-in-class CBT-I sleep techniques. Full Sleep delivers daily lessons developed with evidence-based principles. The multi-week curriculum is customized based on your daily overnight sleep data and other health conditions that could impact sleep, such as menopause, chronic pain, or depression. Learn how to challenge assumptions, change habits, and introduce behaviors to help you fall and stay asleep.
    hardware
    machine-learning
    consumer-health-services
  • Imbue (formerly Generally Intelligent)
    Imbue (formerly Generally Intelligent) (s2017)Active • 15 employees • San Francisco, CA, USA
    Imbue builds AI systems that reason and code, enabling AI agents to accomplish larger goals and safely work in the real world. We train our own foundation models optimized for reasoning and prototype agents on top of these models. By using these agents extensively, we gain insights into improving both the capabilities of the underlying models and the interaction design for agents. We aim to rekindle the dream of the *personal* computer, where computers become truly intelligent tools that empower us, giving us freedom, dignity, and agency to pursue the things we love.
    machine-learning
    data-engineering
    ai
  • Proven Group
    Proven Group (w2018)Active • 40 employees • San Francisco, CA, USA
    Proven is a data powered skincare company that creates personalized skincare products based on more than 47 factors about an individual's skin, genetic background, lifestyle and environment. Our formulations are rooted in the largest beauty database in the world, the proprietary Skin Genome Project, built in-house by Proven's cofounder Amy Yuan, a computational physicist from Stanford. The database has won MIT's AI Technology of the Year award and encompasses more than 20Million consumer datapoints and thousands of scientific articles on skin. Our challenge now is to tell the story of Proven, and share our industry leading personalized skincare products with the world.
    machine-learning
    consumer
    e-commerce
    ai
  • Klarity
    Klarity (s2018)Active • 11 employees • San Francisco, CA, USA
    Klarity's software establishes robust controls for the review of contracts with customers for revenue recognition and billing purposes. Klarity is the missing piece between CRM, ERP, and CLM systems purposely built to (1) provide an audit-trail to document your ASC 606 and SOX controls, (2) save time for your revenue accounting team through automated contract review and revenue checklist population, and (3) enable early reporting throughout every accounting period.  Klarity's products are used by companies like Salesforce, TIBCO, Segment, Checkr and Zscaler.
    artificial-intelligence
    machine-learning
    saas
  • Short Story
    Short Story (s2019)Active • 120 employees • San Francisco, CA, USA
    Short Story is a style discovery platform to help petite women find clothes that fit. The average American woman is 5'4" and petite, yet this remains an enormously underserved segment. We’re a team of curators passionate about finding style, quality, and fit for petite women. Our mission is to remove the “ugh” from the shopping equation and support petite women in telling their stories, stylishly and confidently.
    machine-learning
    marketplace
    e-commerce
  • Rosebud AI
    Rosebud AI (s2019)Active • 10 employees • San Francisco, CA, USA
    Rosebud is building the AI Roblox. We will make it 1000X easier for a community of game devs to create and enjoy the games of their dreams. ‍ We’re a team of PhD researchers, creatives and engineers building the generative AI platform to enable game creation at the speed of thought. We believe all media creation will be done via generative methods in a few years. We're building that future.
    artificial-intelligence
    developer-tools
    generative-ai
    machine-learning
    gaming
  • Replicate
    Replicate (w2020)Active • 27 employees • San Francisco, CA, USA
    artificial-intelligence
    developer-tools
    machine-learning
    community
    open-source
  • Hypotenuse AI
    Hypotenuse AI (s2020)Active • 10 employees • Singapore
    Hypotenuse AI turns a few keywords into entire blog articles, stunning pictures, artwork, and any other type of copywriting including product descriptions, social media captions and emails. It takes weeks, or even months, for companies to prepare for campaign launches — we help them get their drafts in seconds.
    generative-ai
    machine-learning
    e-commerce
    ai
  • Aquarium Learning
    Aquarium Learning (s2020)Active • 12 employees • San Francisco, CA, USA
    ML models are only as good as the datasets they're trained on, and that means that most improvement to model performance comes from improvement to the quality and diversity of their datasets. Our tooling makes it easy for ML teams to find anomalies + failure patterns in their datasets and fix these problems by editing / adding the right data. So the next time you retrain your model, it just gets better.
    deep-learning
    developer-tools
    generative-ai
    machine-learning
    ai
  • Promoted.ai
    Promoted.ai (w2021)Active • 10 employees • San Francisco, CA, USA
    Promoted.ai unifies search, native ads, and feed ranking for online marketplaces and scaled e-commerce apps to dramatically improve relevance (and revenue) using AI. We are a team of ex-Google, Meta, and Pinterest ads engineers. Our customers are publicly traded and late-stage marketplace companies like Wayfair, Upwork, and Outschool. Our mission is to connect every buyer and seller.
    machine-learning
    marketplace
    b2b
    e-commerce
  • Slope
    Slope (s2021)Active • 16 employees • San Francisco, CA, USA
    Accept and reconcile B2B payments seamlessly.
    artificial-intelligence
    fintech
    machine-learning
    payments
    fraud-detection
  • HomeRoom
    HomeRoom (w2022)Active • 25 employees • San Jose, CA, USA
    Homeroom helps investors provide affordable housing while making a 22% ROI. We do this by sourcing properties, arranging capital, managing construction, vetting tenants and collecting rent by the room. To date, Homeroom has brought on 85 property investors, growing 6X annually, are bringing in 420K in annualized net-revenue How it works: We help investors buy homes in cities that are attractive to young people, but lack affordable housing options. We then renovate and after about 20 days, the home is ready and we find qualified renters by the room. We launched in 2018 in Kansas City with 1 home. We now have 105 homes in 31 cities. In 2021, we grew rental GMV to $1.8M (300% YoY growth). Our average rent across every property is $458, which is about 50% lower than market comps, and our investors see returns up to 50% higher. We are HomeRoom. Johnny is the financial analyst/domain expert. Thomas is a cereal entrepreneur with a PHD in ML, and Mike hacked growth for Airbnb and Facebook.
    machine-learning
    real-estate
    proptech
    nlp
    data-engineering
  • Dynamo AI
    Dynamo AI (w2022)Active • 40 employees • San Francisco, CA, USA
    End-to-end privacy, security, and compliance solutions to prepare your organization for emerging AI regulations.
    machine-learning
    privacy
    data-engineering
  • Coverage Cat
    Coverage Cat (s2022)Active • 4 employees • New York, NY, USA
    Coverage Cat (https://www.coveragecat.com) is the best way for people to optimally insure against their risks for homeowners, auto, renters, and general liability insurance. Millions of wealthy but insurance-unfamiliar Americans have purchased policies that leave them vulnerable to million-dollar lawsuits and bankruptcy. Coverage Cat fixes their coverage and offers them cheaper premiums with a focus on the central question of insurance: "how much can you afford to lose?" This risk-first approach allows for policies with higher deductibles that no other insurer will sell you, and enables us to find the multi-million dollar coverage, for truly catastrophic events, that our users need.
    fintech
    machine-learning
    insurance
  • Phiar
    Phiar (s2018)Acquired • 12 employees • Redwood City, CA, USA
    At Phiar, we are building the first AI-powered AR navigation driving software solution that runs on a smartphone and in-vehicle displays, utilizing our ultra-lightweight road understanding AI that runs completely at-the-edge, in real-time, all on just a smartphone-level compute. Our mission is to enhance driving safety, facilitate more intuitive wayfinding, and connect drivers with their surrounding environments.
    artificial-intelligence
    machine-learning
    augmented-reality