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

April 2024

Browse 64 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.

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

  • Cruise
    Cruise (w2014)Acquired • 3,000 employees • San Francisco, CA, USA
    Cruise is building the world’s most advanced, all-electric, self-driving car technology to safely connect people with the places, things, and experiences they care about. Self-driving cars will help save lives, reimagine cities, redefine time in transit, and restore freedom of movement for individuals who live in dense urban settings. Acquired by GM in 2016.
    autonomous-delivery
    machine-learning
    climate
    ai
    self-driving-vehicles
  • 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
  • Sift
    Sift (s2011)Active • San Francisco, CA, USA
    Sift is the leader in Digital Trust & Safety, empowering digital disruptors to Fortune 500 companies to unlock new revenue without risk. Sift dynamically prevents fraud and abuse through industry-leading technology and expertise, an unrivaled global data network of 70 billion events per month, and a commitment to long-term customer partnerships. Global brands such as DoorDash, Twitter, and Wayfair rely on Sift to gain a competitive advantage in their markets.
    fintech
    machine-learning
    saas
    b2b
  • 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
  • TRM Labs
    TRM Labs (s2019)Active • 180 employees • San Francisco, CA, USA
    At TRM, we're on a mission to build trust in digital assets, because the promise of crypto is too valuable to be impeded by bad actors. We provide a blockchain intelligence platform to law enforcement, financial institutions, and crypto firms to assist in the detection and prevention of cryptocurrency fraud and financial crime. Our vision is to build a company that can sustainably deliver on our mission for decades to come, enabling consumers to transact safely and securely on the blockchain. Join our mission ➔ www.trmlabs.com/careers
    fintech
    machine-learning
    crypto-web3
    data-engineering
  • 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
  • Pachama
    Pachama (w2019)Active • 85 employees • San Francisco, CA, USA
    Pachama is a leading climate-tech company harnessing cutting-edge technologies such as computer vision and satellites to drive funding to effective reforestation and conservation projects that sequester carbon, enhance biodiversity and enrich local communities around the world. Through a tech-verified marketplace that counts as customer the likes of Amazon, Airbnb, Netflix and Nespresso, the company drives capital to forests in Brazil, Mexico, India, the USA and beyond. The company is backed by top investors such as Bill Gates' BEV, Chis Sacca's LowerCarbon, Amazon Climate Pledge among others. The company is fully remote and driven by a strong sense of purpose.
    carbon-capture-and-removal
    machine-learning
    climate
  • 64x Bio
    64x Bio (s2018)Active • 25 employees • San Francisco, CA, USA
    64x Bio is building a platform that radically increases the speed and scale of mammalian cell line discovery. Using a novel high throughput discovery and screening platform and an integrated computational design loop, we are developing new ways of generating highly optimized and otherwise unattainable cell lines for the manufacturing of viral vectors, with a specific focus on those used for cell and gene therapies. Our platform technology enables pharmaceutical and biotechnology companies to bring cell and gene therapies to patients more effectively, providing purpose-built genetically engineered cell lines to increase the efficiency of viral vector production and reduce the cost of manufacturing.
    gene-therapy
    machine-learning
  • 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
  • Darmiyan
    Darmiyan (s2017)Active • 8 employees • San Francisco, CA, USA
    Novel quantitative virtual microscopy for early detection of Alzheimer's disease from non-invasive MRI.
    artificial-intelligence
    machine-learning
    health-tech
    diagnostics
  • Replicate
    Replicate (w2020)Active • 27 employees • San Francisco, CA, USA
    artificial-intelligence
    developer-tools
    machine-learning
    community
    open-source
  • 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
  • Atmo
    Atmo (w2020)Active • 10 employees • San Francisco, CA, USA
    Atmo is the leading company bringing artificial intelligence to meteorology for governments, militaries, and corporations. Based in Silicon Valley, Atmo builds state-of-the-art AI weather forecasts that are up to 50% more accurate, 10x more detailed, and run 40,000x faster. Atmo has rapidly become the trusted AI meteorology partner for high-stakes users worldwide, such as the US Department of Defense, top aerospace companies, the Philippines, and the United Nations. Today, Atmo forecasting systems protect vital infrastructure and enhance economic activity for its partners, including disaster response, renewable energy, agriculture, transportation, and national security.
    artificial-intelligence
    machine-learning
    weather
    climate
    ai
  • Pibit.ai
    Pibit.ai (w2021)Active • 30 employees • Palo Alto, CA, USA
    Pibit.ai is an insurtech company turns unstructured submission documents like loss runs, SOVs, applications into structured data, enrich data from third-party sources, provides a comprehensive view of information, enabling better decision-making and automation within the commercial underwriting workflow.
    generative-ai
    machine-learning
    saas
    b2b
    insurance
  • 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
  • Soteris
    Soteris (s2019)Active • 4 employees • San Francisco, CA, USA
    Soteris is a YC-backed company with a four-person team and a great investor base building a first-of-its-kind data ML pricing system for insurance, starting with personal auto.
    fintech
    machine-learning
    ai
  • 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
  • Simplify
    Simplify (w2021)Active • 5 employees • San Francisco, CA, USA
    Simplify is re-imagining the hiring and job-searching process. We're building tools to democratize the job search, no matter what your background is, where you live or what school you attended. Our first product is Copilot, and we're rapidly expanding on both the candidate and recruiter fronts. We've helped facilitate over 20m+ applications in just the last year, and are doubling down on our vision of building a common app and personal AI agent for your career.
    generative-ai
    machine-learning
    marketplace
    recruiting
  • Directed Edge (s2009)Active • 2 employees • San Francisco, CA, USA
    Directed Edge delivers Amazon-like "People who bought this also bought..." and "We think you'd also like"-style recommendations to other sites, using existing data being collected such as purchase or click histories. Recommendations are served in real-time via a REST API, with language bindings in several programming languages to make integration easy.
    artificial-intelligence
    machine-learning
    recommendation-system
  • Observant
    Observant (w2018)Active • 5 employees • San Francisco, CA, USA
    Observant is an iPhone-based driver monitoring system for commercial fleets. It uses machine learning + iPhone's depth sensors to detect unsafe driver behavior, prevent accidents, and save lives.
    autonomous-trucking
    hard-tech
    machine-learning
    saas
  • Shiru
    Shiru (s2019)Active • 4 employees • Emeryville, CA, USA
    ai-powered-drug-discovery
    cellular-agriculture
    machine-learning
  • Slope
    Slope (s2021)Active • 16 employees • San Francisco, CA, USA
    Accept and reconcile B2B payments seamlessly.
    artificial-intelligence
    fintech
    machine-learning
    payments
    fraud-detection
  • Openlayer
    Openlayer (s2021)Active • 6 employees • San Francisco, CA, USA
    Track prompts and models. Test edge cases. Catch errors in production. Evaluate your AI with one-line of code.
    aiops
    artificial-intelligence
    developer-tools
    generative-ai
    machine-learning
  • DynamoFL
    DynamoFL (w2022)Active • 30 employees • San Francisco, CA, USA
    DynamoFL is the most private solution for enterprise AI. Achieve best-in-class and compliant AI at the fraction of the time and cost.
    machine-learning
    privacy
    data-engineering
  • CAPSULE
    CAPSULE (s2022)Active • 2 employees • San Francisco, CA, USA
    CAPSULE is a mobile app that makes it easy to save and buy the things you find on any social media platform. Just snap a screenshot of anything you like, from any platform, and we search the entire internet to instantly give you shoppable links. Instead of searching hundreds of websites and sifting through thousands of products on your own, CAPSULE lets you find inspiration from anywhere and uses advanced machine learning to return results that feel like magic.
    generative-ai
    machine-learning
    e-commerce
  • 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
  • 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
  • Revl
    Revl (w2016)Active • 22 employees • San Francisco, CA, USA
    Revl is an experience technology company and Y Combinator 2016 Winter Batch member launching the Revl Arc smart action camera. Designed in coordination with frogVentures, Sony, Ambarella and leading engineers with backgrounds at NASA, HP and Sikorsky Aircraft, the Revl Arc is available for preorder and will begin shipping in December. Revl was founded in 2015 and is based in San Francisco. For more information, please visit www.revl.com
    machine-learning
    saas
    sports-tech
    b2b
    video
  • 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.
    artificial-intelligence
    deep-learning
    developer-tools
    generative-ai
    machine-learning
  • MTailor
    MTailor (s2014)Active • 11 employees • San Francisco, CA, USA
    MTailor is an ipad or iphone service for men to capture their shirt size dimensions and have tailor made shirts made and delivered.
    machine-learning
    e-commerce
    apparel
  • 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
  • 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
  • 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
  • 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
  • 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
  • Chaos Genius
    Chaos Genius (w2020)Active • 10 employees • San Francisco, CA, USA
    Chaos Genius is a DataOps Observability platform for Snowflake. Enable Snowflake Observability to reduce Snowflake costs and optimize query performance.
    cloud-workload-protection
    machine-learning
    analytics
    open-source
    data-engineering
  • HyperGlue
    HyperGlue (w2021)Active • 5 employees • San Francisco Bay Area, CA, USA
    There is more text generated than any one person or team can read. A single product team can not hope to sift through their thousands of feedback responses and determine the signal amongst the noise. Hyperglue enables operators, product managers, and analysts to instantly access machine intelligence on large text datasets without the engineering or headcount overhead required to deploy natural language AI within their business.
    machine-learning
    b2b
    nlp
  • Expent Inc
    Expent Inc (w2021)Active • 2 employees • Fremont, CA, USA
    Expent is a marketplace that accelerates software procurement for teams, while giving organizations control over the entire purchasing process.
    machine-learning
    saas
    b2b
  • Scanbase
    Scanbase (w2023)Active • 6 employees • Los Angeles, CA, USA
    Scanbase makes it easy for medical companies to convert photos of rapid diagnostic tests into results. We do this by providing a simple API that any medical company can access.
    artificial-intelligence
    machine-learning
    computer-vision
    health-tech
    telemedicine
  • 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
  • Abalone Bio
    Abalone Bio (w2020)Active • 12 employees • Emeryville, CA, USA
    Abalone Bio developed a technology to find antibody drugs that activate and modulate cell surface receptors, the “antennae” on cells that help convert chemical signals into cellular responses, like growth. Antibodies are a growing class of drugs that have tremendous safety and efficacy advantages over small molecules; 7 of the top 10 selling drugs are antibodies, earning an average of $7B in revenue. However, antibodies- especially ones that activate and modulate cell surface receptors- are hard to find. Abalone Bio expands the playing field for antibody therapeutics and enables us to previously access treatments for untreated diseases. We have already discovered a novel antibody that activates a non-opioid receptor that produces analgesia. We are developing this antibody into a treatment for neuropathic pain – a medical condition that currently is treated with drugs like addictive opiates. The same molecule is also a potential treatment for inflammatory and fibrotic diseases, all 1B+ markets.
    machine-learning
    synthetic-biology
    drug-discovery
  • Waterplan
    Waterplan (s2021)Active • 30 employees • San Francisco, CA, USA
    Waterplan is the world’s leading climate platform to measure, respond, report, and monitor companies increasingly changing climate water risk. Customers include multinational companies like Coca-Cola, Diageo, Colgate & Ab InBev. The platform combines companies’ operational data with local water satellite imagery to provide a continuously updated financial assessment of water risk. Based on that, it offers tailored mitigation and adaptation opportunities, from conventional infrastructure to nature-based solutions. The company was founded by a team of tech and water 2nd-time entrepreneurs with two exits and almost ten years of experience working for Fortune 500 companies in water projects. Early investors include YCombinator, Giant Ventures, David Helgason, Leonardo DiCaprio, Richard Branson's family, Manu Ginobili, among others waterplan.com
    machine-learning
    saas
    b2b
    climate
    climatetech
  • Jovian
    Jovian (s2021)Active • 6 employees • Bengaluru, Karnataka, India
    Jovian is an online university for software development and data science. We offer practical and industry-focused programs that help professionals learn technical skills, build real-world projects, and advance their careers. Students learn practical skills, build real-world portfolio projects, and undergo job readiness training. Our tutors offer 24x7 guidance & mentorship over Slack & Zoom. Students also get access to jobs with 200+ hiring partners.
    ai-enhanced-learning
    developer-tools
    education
    machine-learning
  • Evidently AI
    Evidently AI (s2021)Active • 2 employees • San Francisco, CA, USA
    We are building an open-source standard to monitor ML models in production. The tool is used by enterprise data science teams to operate their models reliably and detect and resolve issues.
    developer-tools
    machine-learning
    b2b
    open-source
  • Rosebud Biosciences
    Rosebud Biosciences (w2022)Active • 3 employees • San Francisco, CA, USA
    Rosebud Biosciences accelerates drug development by screening drugs against organoids (micro-organs) that have the same gene mutations as the patients. We partner with therapeutics companies to screen their drugs, and we perform our own drug discovery for rare diseases that have no existing treatments. Our organoids are also fetal-like and enable discovery of novel drug targets for pediatric diseases. This technology was validated at Stanford, published in a prestigious journal, and has already led to the discovery of a drug target in a pediatric heart disease that could not have been found using traditional disease models.
    machine-learning
    pediatrics
    therapeutics
  • HypaHub
    HypaHub (w2022)Active • 6 employees • Sunnyvale, CA, USA
    HypaHub is a Cloud-Based Bioinformatics and AI Platform. It is the first HIPAA-compliant Bioinformatics SaaS that runs natively on users' clouds, providing both operation- and price-transparency. Our product is a one-stop shop to access complex technologies designed for scientists building data applications or performing data analytics to extract insights. It automates the creation and manages the operation of computing resources, eliminating the need for enterprises to set up and maintain a high-end R&D cloud infrastructure.
    machine-learning
    biotech
    analytics
  • LanceDB
    LanceDB (w2022)Active • 10 employees • San Francisco, CA, USA
    LanceDB is a new open-source vector database that can support low-latency billion-scale vector search on a single node. Built around a new columnar data format, LanceDB makes it incredibly easy to build applications for generative AI, recsys, search engines, content moderation, and more.
    aiops
    machine-learning
    data-engineering
  • Lifecast
    Lifecast (w2022)Active • 2 employees • Palo Alto, CA, USA
    We make tools for state-of-the-art 3D VR video, which fix motion sickness for a more comfortable and immersive experience. Our team's experience includes building VR cameras at Facebook, and robot perception systems at Lyft and Google X.
    machine-learning
    robotics
    virtual-reality
  • Koko
    Koko (w2022)Active • 2 employees • San Francisco, CA, USA
    We provide free digital mental health technologies for millions of people struggling online — particularly young people. For example, we partner with online communities to help find and treat at-risk individuals directly on their platform using our online interventions.
    machine-learning
    mental-health-tech
    nonprofit
    social
    nlp
  • Flike
    Flike (w2022)Active • 8 employees • San Francisco, CA, USA
    Flike trains AI models on your product marketing knowledge, enabling your sales team to generate relevant&hyper-personalized emails that are aligned with your brand voice throughout the entire sales funnel (from cold outbound to upselling). And we're already partnering with some of the largest YC companies.
    artificial-intelligence
    machine-learning
  • Delight
    Delight (s2022)Active • 2 employees • San Francisco, CA, USA
    Delight is an AI copilot to help singles find and succeed in relationships. We’ve started with helping singles looking for a serious relationship find the right partner. For example, they talk to our AI copilot, as if they’re talking to a human matchmaker, in plain English they specify their preferences. They can be as specific as possible, e.g. someone with an entrepreneurial spirit, who appreciates fine art, enjoys discussing politics and comes from a big family. Our technology then finds their ideal partner. So far, we've helped create over 10,000 couples and in the future our AI copilot will offer these couples support for relationship success, like improving their communication, financial planning, couple’s legal assistance, and navigating life events.
    generative-ai
    machine-learning
    consumer
    dating
    ai
  • Pomello (w2015)Acquired • 8 employees • San Francisco, CA, USA
    Pomello maps your organizational culture on a team-by-team basis, and integrates with your existing recruiting process to allow you to find the candidates most likely to thrive within your organization. Founded at Stanford University, Pomello’s technology is based on 30 years of research in Organizational Behavior, which has been validated over time across multiple industries.
    machine-learning
    saas
  • CrowdAI
    CrowdAI (s2016)Acquired • 32 employees • San Francisco, CA, USA
    CrowdAI equips enterprises of all sizes with the power of deep learning and the approachability and speed of no-code software. Our easy-to-master platform allows users of all technical abilities, from business operators to data scientists, to power real-time decisions from their visual world. Recognizing data as the new code, CrowdAI is the only vision AI platform to truly provide organizations with the infrastructure for the entire AI-lifecycle, empowering you to label data systematically, train models efficiently, scale models iteratively, and power decisions continuously.
    machine-learning
    computer-vision
  • SigOpt
    SigOpt (w2015)Acquired • 23 employees • San Francisco, CA, USA
    SigOpt is the optimization platform that amplifies your research. SigOpt takes any research pipeline and tunes it, right in place. Our cloud-based ensemble of optimization algorithms is proven and seamless to deploy, and is used by globally recognized leaders within the insurance, credit card, algorithmic trading and consumer packaged goods industries.
    machine-learning
    saas
    ai
  • 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
  • Liftigniter (w2014)Acquired • 11 employees • San Francisco, CA, USA
    LiftIgniter uses cutting edge data science to help publishers and retailers optimize their websites and mobile apps in real-time. Machine learning personalization puts the perfect piece of "content"​ (video, article, item to buy) in front the user at the exact moment when they are most likely to engage or convert - no tags or manual work required. The machine learns and updates itself so that's it's always perfectly in sync with your users and your "content."​ We average 50% improvements in CTR, engagement and conversation - with only a day's work on your part. Imagine creating a truly dynamic, real-time digital property that enables the perfect experience for that user impression at that moment in time. That is LiftIgniter! Our team of PhDs has direct experience building state-of-the-art personalization systems at the petabyte scale for some of the largest companies on the planet. Unless you plan on hiring your own team with deep experience (not likely since very few people with that experience exist), you should contact us to talk about how we can supercharge your digital experiences.
    machine-learning
    personalization
  • Pachyderm
    Pachyderm (w2015)Acquired • 60 employees • San Francisco, CA, USA
    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.
    developer-tools
    machine-learning
    data-science
  • Edwin
    Edwin (w2018)Acquired • 14 employees • San Francisco, CA, USA
    It combines the latest adaptive learning and Natural Language Understanding technology with pedagogical content as well as on-demand human instructors to offer its students affordable, personalized, 1:1 learning. Based in San Francisco, the company was funded by General Catalyst, Y Combinator, Google Assistant Investments Program, and several other investors. Over 800 thousand students have improved their English with Edwin. In early 2020 Edwin merged with MyBuddy.ai. The resulting company kept the name “Buddy.ai”. Headquartered in San Francisco, it focuses on building a virtual English conversation partner for over 500 million children around the globe who are trying to learn English, but can't reach fluency because they lack genuine practice speaking the language. The company doubled down on its mobile app Buddy, the voice-based English tutor for kids, organically combining solutions developed by Buddy.ai and Edwin.
    ai-enhanced-learning
    education
    machine-learning
    smart-home-assistants
    elearning
  • Tule
    Tule (s2014)Acquired • 8 employees • Davis, CA, USA
    Tule helps farmers make irrigation decisions. Using UC Davis research-based technology, our hardware sensor provides growers with field-scale crop water use measurements (i.e., actual evapotranspiration), crop water stress measurements, applied irrigation measurements, and irrigation recommendations. Using the latest AI technology and our unprecedented crop water stress dataset, our latest product, Tule Vision, provides growers with the water stress of their plants just by taking a picture with their mobile phone.
    cellular-agriculture
    machine-learning
    iot
  • Jido Maps
    Jido Maps (w2018)Acquired • 6 employees • Berkeley, CA, USA
    We help teams that may or may not have machine learning expertise quickly turn their data into deployed computer vision models. Example applications include security camera monitoring, automating data entry, interpreting web scraped images, validated user photo inputs, augmented reality and mobile product scanning. If you have visual or scanned data that you wish your software could interpret at scale, we can turn around a first proof of concept in under a week. Reach out and see how computer vision can change your business.
    deep-learning
    indoor-mapping
    machine-learning
    computer-vision