Machine Learning Startups funded by Y Combinator (YC) in New York 2024

May 2024

Browse 15 of the top Machine Learning startups funded by Y Combinator. Headquartered in New York, these are some of the hottest and fastest-growing startups.

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

  • PowerX
    PowerX (w2020)Active • 20 employees • New York, NY, USA
    PowerX AI powered sensors create proprietary data to save corporations 30% or more in energy, water and emissions. 
    machine-learning
    iot
    climate
    energy
  • SPATE
    SPATE (s2018)Active • 15 employees • New York, NY, USA
    Spate is your machine intelligence solution for finding the next big trend in Beauty and Food. For example, we spotted trends such as turmeric, face masks, and cold brew.
    machine-learning
    ai
  • Blue Onion Labs
    Blue Onion Labs (s2020)Active • 20 employees • New York, NY, USA
    We integrate via API across a company’s stack to trace and reconcile millions of financial transactions across multiple systems, providing the functionality of a legacy ERP system without the time and cost of a traditional implementation.
    machine-learning
    finance
  • Taktile
    Taktile (s2020)Active • 60 employees • Berlin, Germany
    Taktile eliminates guesswork and empowers decision-makers to build and evaluate automated decision flows faster than ever before.
    machine-learning
    enterprise-software
  • Milk Video
    Milk Video (w2021)Active • 2 employees • New York, NY, USA
    Milk Video is a video marketing platform that simplifies short-form video creation for marketers. Anyone can collect, clip, and ship video content such as customer testimonials, employee testimonials, and thought pieces in minutes.
    machine-learning
    design-tools
    video
  • Swayable
    Swayable (w2018)Active • 30 employees • New York, NY, USA
    Swayable partners with the world's leading brands and advocacy groups to change minds, behaviors and attitudes. We are hiring in data science, full stack engineering, data visualization, design, and operations. We welcome unsolicited CVs from anyone, and especially encourage women and people from under-represented groups to talk to us.
    machine-learning
  • Toko
    Toko (w2022)Active • 5 employees • New York, NY, USA
    Toko helps English learners in East Asia achieve speaking fluency. Through our mobile app, learners engage in short, realistic conversations with an AI and receive feedback on their grammar. With over 150 topics, learners can practice real-world scenarios ranging from small talk to workplace discussions. Toko offers a low-pressure environment to help learners build up their confidence. We make language fluency accessible to everyone - not just those with the means to meet 1:1 with a tutor. In Taiwan (our first market), Toko is ranked #3 in the App Store for Education!
    ai-enhanced-learning
    education
    generative-ai
    machine-learning
    consumer
  • Concord Materials
    Concord Materials (s2021)Active • 7 employees • New York, NY, USA
    SaaS automation tools, financing and marketplace for bulk construction materials
    fintech
    machine-learning
    marketplace
    insurance
    enterprise
  • Lariat Data
    Lariat Data (s2021)Active • 3 employees • New York, NY, USA
    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. Use Lariat to define and then automatically extract, store and visualize data quality metrics on raw event-level data through to delivered data products.
    machine-learning
    big-data
    data-engineering
  • Spoken
    Spoken (s2021)Active • 2 employees • New York, NY, USA
    Spoken is a website where users compare buying options for the exact same product across multiple stores. We help our users never overpay online. Dane is a two-time technical YC founder; he sold his previous company, Parklet, to Greenhouse where he was VP of Platform for 4.5 years. Geoff is a Stanford MBA grad and sold his previous company Cabrio Taxi.
    machine-learning
    marketplace
    consumer
    e-commerce
  • Axis
    Axis (w2022)Active • 15 employees • New York, NY, USA
    Axis is a knowledge base of government regulations and officials that helps large companies do business in foreign markets. For example, if you want to operate in Saudi Arabia - our software tells you which laws you need to comply with and which officials you need approvals from. We currently cover major markets in Europe, Middle East, and Africa
    machine-learning
    b2b
    subscriptions
    regtech
  • Ploomber
    Ploomber (w2022)Active • 7 employees • New York, NY, USA
    We are building a cloud platform to help companies deploy and scale AI applications.
    developer-tools
    machine-learning
    analytics
    ai
  • Yhat (w2015)Acquired • 17 employees • Brooklyn, NY, USA
    Yhat (YC W15, pronounced y-hat) was an end-to-end data science platform. Acquired by Alteryx (NYSE:AYX)
    artificial-intelligence
    machine-learning
    enterprise
    data-engineering
  • Pulpix (w2016)Acquired • 12 employees • New York, NY, USA
    Leveraging Artificial Intelligence to offer personalized video experience for online video platforms.
    artificial-intelligence
    machine-learning
    video
  • Paperspace
    Paperspace (w2015)Acquired • 50 employees • Brooklyn, NY, USA
    Paperspace is a cloud computing company creating simple and scalable accelerated computing applications. Our goal is to allow individuals and professional teams to seamlessly build and deploy computationally complex products and services. Paperspace is backed by leading investors including Y Combinator and Initialized Capital. Mission: Our mission is to make cloud computing more accessible through radical simplicity, community-driven technical resources, and straightforward pricing. -- To learn more about Paperspace, please visit https://www.paperspace.com/ or follow us on Twitter at: @hellopaperspace.
    artificial-intelligence
    machine-learning