Machine Learning Startups funded by Y Combinator (YC) 2024

December 2024

Browse 100 of the top Machine Learning startups funded by Y Combinator.

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
  • Flock Safety
    Flock Safety (s2017)Active • 1,000 employees • Atlanta, GA, USA
    Flock Safety provides the first public safety operating system that empowers private communities and law enforcement to work together to eliminate crime. We are committed to protecting human privacy and mitigating bias in policing with the development of best-in-class technology rooted in ethical design, which unites civilians and public servants in pursuit of a safer, more equitable society. Our Safety-as-a-Service approach includes affordable devices powered by LTE and solar that can be installed anywhere. Our technology detects and captures objective details, decodes evidence in real-time and delivers investigative leads into the hands of those who matter. While safety is a serious business, we are a supportive team that is optimizing the remote experience to create strong and fun relationships even when we are physically apart. Our flock of hard-working employees thrive in a positive and inclusive environment, where a bias towards action is rewarded. Flock Safety is headquartered in Atlanta and operates nationwide. We have raised $150M in our Series E led by Tiger Global at a $3.5B valuation.
    hardware
    machine-learning
    saas
  • 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
  • Humanloop
    Humanloop (s2020)Active • 14 employees • London, UK
    Humanloop is the LLM evals platform for enterprises. Teams at Gusto, Vanta and Duolingo use Humanloop to ship reliable AI products. We enable you to adopt best practices for prompt management, evaluation and observability.
    artificial-intelligence
    generative-ai
    machine-learning
    saas
  • 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
  • Relativity Space
    Relativity Space (w2016)Active • 1,000 employees • Los Angeles, CA, USA
    Relativity is building humanity’s multiplanetary future. We invented a new approach to design, build, and fly our own rockets, starting with Terran 1 – the world’s first entirely 3D printed rocket, and Terran R, our next generation medium-heavy lift fully reusable launch vehicle. As a vertically integrated technology platform, Relativity is at the forefront of an inevitable shift toward software-defined manufacturing. By fusing 3D printing, artificial intelligence, and autonomous robotics, we are pioneering the factory of the future. Disrupting 60 years of aerospace, Relativity offers a radically simplified supply chain, building a rocket with 100x fewer parts in less than 60 days. We believe in a future where interplanetary life fundamentally expands the possibilities for human experience. Our long-term vision is to upgrade humanity’s industrial base on Earth and on Mars.
    machine-learning
    space-exploration
    rocketry
    3d-printing
    manufacturing
  • 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
  • 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
  • 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
  • Klarity
    Klarity (s2018)Active • 128 employees • San Francisco, CA, USA
    Klarity is Enterprise AI that automates accounting and compliance processes for companies like DoorDash, CrowdStrike and Zoom. Klarity has two core capabilities: (1) understand documents like Orders, Invoices and Contracts to the same degree as a human, and (2) automate the following process - identifying outliers, matching, calculations and validations. Klarity reduces OpEx, delivers real-time turnaround and boosts accuracy.
    artificial-intelligence
    machine-learning
    saas
  • Birch Biosciences
    Birch Biosciences (s2022)Active • 10 employees • Portland, OR, USA
    Birch Biosciences engineers enzymes for plastic recycling using synthetic biology and machine learning. Our enzymes function as high performance “molecular scissors” that efficiently break down plastic polymers into chemical building blocks that can be used to manufacture high quality recycled plastic products. Today, plastic manufacturing is unsustainable and a major driver of climate change. Birch Biosciences is developing an economical end-to-end plastic recycling process that reduces carbon emissions by 70% and enables a circular plastic economy.
    machine-learning
    synthetic-biology
    biotech
    climate
    climatetech
  • Ocular AI
    Ocular AI (w2024)Active • 3 employees • San Francisco, CA, USA
    Ocular AI 2.0 Launch Week: Dec 01 - 07, 2024
    artificial-intelligence
    developer-tools
    machine-learning
    computer-vision
    data-engineering
  • PropRise
    PropRise (s2023)Active • 3 employees • San Francisco, CA, USA
    PropRise is an AI-powered investment analyst for commercial real estate, transforming how firms discover and evaluate opportunities. Our platform acts as a 24/7 analyst that finds hidden deals others miss by analyzing vast amounts of data beyond traditional listings - from local council meetings and permits to community sentiment and market trends. While most firms only see surface-level data like basic financials and broker listings, PropRise connects complex patterns across tech company expansions, local market shifts, and city development plans to identify overlooked opportunities.
    machine-learning
    saas
    real-estate
    b2b
    analytics
  • Cascading AI
    Cascading AI (s2023)Active • 6 employees • San Francisco, CA, USA
    Casca is building AGI for banking. We are replacing 30+ year-old legacy technology with AI-native systems of record that automate 90% of the manual work humans used to have to do. Our first product is an AI-native Loan Origination System - with a built-in AI Agent, called Sarah. Sarah communicates with small business loan applicants via email or sms, guides them through the application process and prepares the loan file for a human underwriter. Why? Small businesses are the heart of the American economy and a lot of banks shy away from providing funding because of the manual effort in pursuing those deals. With us, that changes and unlocks affordable, quick bank funding for the 30M+ small businesses in the US as opposed to the high interest rates from online lenders.
    conversational-banking
    fintech
    machine-learning
    finance
    ai
  • Sapling.ai
    Sapling.ai (w2019)Active • 2 employees • San Francisco, CA, USA
    Sapling offers an API and SDK to help businesses integrate language models into their applications. Its messaging assistant sits on top of CRMs and messaging platforms to help users more efficiently compose responses.
    artificial-intelligence
    deep-learning
    generative-ai
    machine-learning
    b2b
  • Roboflow
    Roboflow (s2020)Active • 50 employees • San Francisco, CA, USA
    Roboflow enables developers to make the world programmable. Use our tools to build better datasets (collect image, video / annotate), models (foundation and fine tuned small models), and deployments (self hosted, edge, APIs, SDKs) for computer vision. Over 250k developers, including those from over half the Fortune 100, build with our open source and hosted tools. Build with us: https://app.roboflow.com Hack with us: https://roboflow.slab.com/public/posts/roboflow-hackathons-external-u478m1iz Work with us: roboflow.com/careers
    developer-tools
    machine-learning
    computer-vision
    api
    ai
  • 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
  • TRM Labs
    TRM Labs (s2019)Active • 250 employees • San Francisco, CA, USA
    TRM is on a mission to build a safer financial system for billions of people. We deliver a blockchain intelligence data platform to financial institutions, crypto companies, and governments to fight cryptocurrency fraud and financial crime. We consider our business — and our profit — as a way to move towards our mission sustainably and at scale. Join our mission ➔ www.trmlabs.com/careers
    fintech
    machine-learning
    crypto-web3
    data-engineering
  • Ryse
    Ryse (w2024)Active • 13 employees • New York, NY, USA
    Ryse is the only marketplace where investors who want to buy leases can trade with real estate operators who want to sell leases.
    fintech
    machine-learning
    marketplace
    b2b
    proptech
  • Encord
    Encord (w2021)Active • 70 employees • London, UK
    Encord is the leading data development platform for advanced vision and multimodal AI teams. We build tools and infrastructure to help the world's leading AI teams get their models into production faster - with data-centric model testing, human-centric workflow and annotation tools for labeling & RLHF, and data curation and management software. Encord is trusted by pioneering AI teams at Stanford Medicine, Mass General Brigham, Tractable, Viz AI, Iterative Health, the UHN, the Royal Navy, Veo, and many more global companies.
    artificial-intelligence
    developer-tools
    machine-learning
    computer-vision
    ai
  • Subsets
    Subsets (s2023)Active • 5 employees • Copenhagen, Denmark
    Subsets uses AI to automate retention in subscription media. We help increase life-time value by enabling commercial teams to create AI-driven experiments and automations, without engineering support.
    machine-learning
    b2b
    enterprise
    crm
    automation
  • Empower
    Empower (s2023)Active • 2 employees • San Mateo, CA, USA
    Empower is a developer platform for fine-tuned LLMs. It aims to provide best-in-class infrastructure and prebuilt, task-specific base models as building blocks, enabling developers to cost-effectively build and deploy fine-tuned LLMs for their specific use cases, offering an alternative to expensive and slow general-purpose LLMs without compromising on response quality.
    artificial-intelligence
    generative-ai
    machine-learning
    saas
    ai
  • TruthSuite
    TruthSuite (w2023)Active • 4 employees • New York, NY, USA
    TruthSuite provides a comprehensive platform to supercharge the due-diligence and research processes for lawyers and other professionals for whom the truth matters. Lawyers use TruthSuite to uncover consistent versions of events as well as identify misinformation in testimonials. Prev. Anarchy Labs
    artificial-intelligence
    generative-ai
    machine-learning
    legal
    legaltech
  • 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
  • PostEra
    PostEra (w2020)Active • 34 employees • Boston, MA, USA
    PostEra is building a modern 21st century biopharma. We're using our advances in machine learning to accelerate Medicinal Chemistry and bring more cures to patients. PostEra advances small molecule programs through partnerships with biopharma while also advancing its own internal pipeline. We've raised $26M from top investors and closed $1Bn in AI partnerships, signing multi-year agreements with Amgen, Pfizer and the NIH. PostEra also launched and led the world's largest open-science drug discovery effort; COVID Moonshot.
    ai-powered-drug-discovery
    machine-learning
    covid-19
  • Continue
    Continue (s2023)Active • 5 employees • San Francisco, CA, USA
    The leading open-source AI code assistant. You can connect any models and any context to build custom autocomplete and chat experiences inside the IDE
    artificial-intelligence
    developer-tools
    devsecops
    machine-learning
    open-source
  • MindsDB
    MindsDB (w2020)Active • 33 employees • San Francisco, CA, USA
    MindsDB is a fast-growing AI startup headquartered in San Francisco, California. As a leading innovator bringing AI and Data together, our passion is empowering companies to easily build AI capabilities that can Think, Understand and Orchestrate: enabling teams to move from prototyping & experimentation to production in a fast & scalable way. MindsDB was founded in 2017 by Adam Carrigan and Jorge Torres, inspired by Ian M. Banks's Culture series, in which super AI systems called Minds collaborate with other forms of life to accomplish incredible goals. Starting as an Open-Source project, MindsDB has grown to be one of the most widely used AI-Data platforms in the world, with a growing community and more than 700 contributor developers from every corner of the globe. We are backed with over $55M in funding from Mayfield, Benchmark, YCombinator, and nVidia. MindsDB is also recognized by Forbes as one of America's most promising AI companies (2021) and by Gartner as a Cool Vendor for Data and AI (2022).
    artificial-intelligence
    developer-tools
    machine-learning
    open-source
    enterprise-software
  • Invert
    Invert (w2022)Active • 25 employees • San Francisco, CA, USA
    We build software to manage, analyze, and optimize bioprocessing data. Our initial customers are bio-industrial companies, who produce various products in bioreactors.
    cellular-agriculture
    machine-learning
    synthetic-biology
    biotech
  • K-Scale Labs
    K-Scale Labs (w2024)Active • 10 employees • Palo Alto, CA, USA
    We're building humanoid robots to do most of what you find boring or tedious. We have an open-source design which we are releasing to the public, which is capable of walking, talking and manipulating objects.
    machine-learning
    robotics
    consumer
    ai
  • 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
  • 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
  • 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
  • Diffuse Bio
    Diffuse Bio (w2023)Active • 10 employees • San Carlos, CA, USA
    Diffuse is building generative AI for protein design. Our mission is to build AI systems that engineer new and useful proteins with unprecedented control and accuracy. Our team has been behind breakthroughs in AI protein design for the past 7 years, including the first experimental validation of AI-generated proteins and diffusion models for protein structure and sequence.
    ai-powered-drug-discovery
    deep-learning
    generative-ai
    machine-learning
    biotech
  • Polymath Robotics
    Polymath Robotics (s2022)Active • 11 employees • San Francisco, CA, USA
    Polymath is building a general autonomy stack for cautious vehicles. Our software allows any industrial vehicle - whether it's a tractor in a field or a bulldozer in a mine, drive itself. We bundle together AI, ML, Controls, ROS, Safety and best-in-class deployment practices to enable our customers to tell automated vehicles to do via a REST API. We're on more robots than we have engineers, are seeing our revenue (and robotic fleet) grow rapidly, and are looking for folks who want to help automate the world.
    hard-tech
    machine-learning
    robotics
    unmanned-vehicle
    ai
  • Hyphen
    Hyphen (w2025)Active • 2 employees • San Francisco, CA, USA
    Hyphen enables Medical AI research teams and decision support solutions prepare high quality training datasets from CT Scans, X Rays and MRIs. With Hyphen, you can collect radiology data from hospitals/labs and create workflows for annotation & reviews. Hyphen also allows monitoring the skill levels of the labelling workforce. We equip labelers with AI-assists for annotations, 3D tools to view and make pixel-perfect markings while enabling reviewers to set up automated error-checking using consensus mechanisms.
    aiops
    machine-learning
    crowdsourcing
    healthcare-it
  • Replicate
    Replicate (w2020)Active • 27 employees • San Francisco, CA, USA
    artificial-intelligence
    developer-tools
    machine-learning
    community
    open-source
  • adyn
    adyn (s2020)Active • 7 employees • Seattle, WA, USA
    fertility-tech
    machine-learning
    consumer-health-services
  • Guac
    Guac (s2023)Active • 5 employees • Broadway, New York, NY, USA
    Guac accurately forecasts demand for grocery retailers, to reduce food waste and increase availability.
    grocery
    machine-learning
    climate
    supply-chain
  • Pyq AI
    Pyq AI (w2023)Active • 2 employees • San Francisco, CA, USA
    We build automations that can pull information from documents, fill out forms and software, and integrate with your existing systems. For example, insurance brokerages use us to pull information from policies, fill out forms, update accounting software and generate proposals.
    documents
    generative-ai
    machine-learning
    b2b
    workflow-automation
  • Quack AI
    Quack AI (s2023)Active • 1 employees • Paris, France
    Quack AI tackles the slowdown in project delivery often faced by expanding dev teams. We bring development teams into sync, effortlessly aligning code with project expectations. Take the example of the backend team now adopting the syntax of Python 3.11 for asynchronous tasks. Our deep learning model swiftly interprets these updates and embeds them into every developer's keystroke with our VSCode extension, significantly reducing code review iterations and shaping a cohesive & adaptable coding identity.
    developer-tools
    machine-learning
    b2b
    productivity
    open-source
  • 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
  • Trainy
    Trainy (s2023)Active • 2 employees • San Francisco, CA, USA
    Goodbye Slurm, Hello Konduktor. Trainy Konduktor is a software platform for AI teams to schedule workloads with priority, control resource allocation, and improve GPU reliability. With Konduktor, teams submit jobs to a healthy pool of GPUs, assign job priority with a simple user interface, and never worry about hardware faults again.
    developer-tools
    machine-learning
    saas
    open-source
  • Deepnote
    Deepnote (s2019)Active0
    Data science is as much a scientific and creative process as it is an engineering one. It involves working together, failing, learning and going back to the drawing board. Data scientists are explorers. To make data projects successful, we need tools that are both powerful and easy to use. Tools that help us collaborate and share our work in an engaging way. Tools that make data science fun again. At Deepnote, we’re building a new standard in data tooling — a notebook that brings teams together to explore, analyze and present data from start to finish. We are building tools for explorers. Join us.
    developer-tools
    machine-learning
  • Nimble
    Nimble (s2017)Active • 4 employees
    Nimble uses predictive analytics to give every K-12 student access to excellent teachers. Our smart applicant tracking system (ATS) leverages a predictive model to help school districts identify and hire the best educators for their classrooms.
    education
    machine-learning
    saas
  • 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
  • Andromeda Surgical
    Andromeda Surgical (s2023)Active • 10 employees • San Francisco, CA, USA
    We're building autonomous robots to make surgery safe, easier and more efficient. Robots currently perform about 1/4 of surgeries but only help with the physical aspects. We use AI to make surgery cognitively easier. This has far greater potential to improve outcomes and reduce costs. Founded by 3x founders from medtech and autonomous vehicles, we're on track to be the fastest surgical robot to market of all time. First indication is prostate enucleation.
    artificial-intelligence
    hard-tech
    machine-learning
    medical-robotics
    medical-devices
  • Oda
    Oda (w2020)Active • 9 employees • Los Angeles, CA, USA
    Oda is an AI agent for home design. Homebuyers and renters alike can use Oda to discover their interior design preferences, apply those preferences to their new home, and then find the best furniture, décor, and appliances aggregated from many different online retailers. Oda distributes its product to homebuyers and renters through partnerships with real estate companies and platforms. Real estate partners add Oda AI iFrames to their websites to showcase listed homes with AI-generated designs. Each AI iFrame is directly linked to an Oda board, allowing consumers to transition from an iFrame to Oda to further personalize the designs and create their dream home.
    machine-learning
    computer-vision
    e-commerce
    ai-assistant
  • Moonglow
    Moonglow (s2024)Active • 2 employees • San Francisco, CA, USA
    Moonglow is a no-code platform for building browser agents. Users record their workflow once, and then our platform builds and deploys browser agents that automate their repetitive workflows. Previously, Leila was a software engineer at Jane Street. She led the build-out of its equities clearinghouse connectivity infrastructure and was the technical lead of its front-office SRE team. Trevor was part of Hazy Research Lab at Stanford, and published machine learning research at NeurIPS, ICLR and ACL. https://moonglow.ai
    artificial-intelligence
    developer-tools
    machine-learning
    robotic-process-automation
    infrastructure
  • 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. 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
  • Shelf Engine
    Shelf Engine (s2018)Active • 40 employees • Seattle, WA, USA
    Shelf Engine helps businesses increase sales by accurately predicting the perfect amount of perishable goods to order, thus reducing food waste.
    machine-learning
  • Byterat
    Byterat (w2023)Active • San Francisco, CA, USA
    Byterat is a modern data platform for battery science, purpose-built to help battery teams innovate, securely and at scale.
    artificial-intelligence
    energy-storage
    machine-learning
    climate
    databases
  • 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
  • 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
  • Aviary
    Aviary (s2024)Active • 3 employees • San Francisco, CA, USA
    Aviary Notebook is an AI-powered video notebook that helps you learn faster from videos, and to share and collaborate with video notes.
    ai-enhanced-learning
    artificial-intelligence
    machine-learning
    video
    search
  • Storia AI
    Storia AI (s2024)Active • 2 employees • Millbrae, CA, USA
    With AI increasingly automating away code generation, software engineers will spend more time reading, judging, and architecting code rather than writing it. Storia is building an open-source copilot that knows a company's codebase and its context. We are starting with Sage, a Perplexity-like agent for helping developers understand, judge, and generate software. Given an existing codebase, developers can ask Sage questions such as: 1) Given my project’s SLA and latency constraints, what is the appropriate underlying vector database to use? How would I incorporate it into my existing codebase? 2) Why should I pick Redis over Milvus as my underlying vector store? 3) Does this codebase in our organization still work and what steps are required for a complex integration with another library? Sage’s answers are directly supported by documentation and external references like GitHub, Stack Overflow, technical design documents, and project management software, preventing hallucinations. Today, Sage has up-to-date knowledge about open-source repositories (indexed daily). Tomorrow it will have a deep understanding of every line of code on the Internet. For teams, Sage will know about your private codebase too. No group has yet solved how to build an AI system that comprehends a codebase and its context and can empower every developer to architect better code, faster. This requires new research advances because vanilla RAG and out-of-the-box LLMs aren’t going to cut it. We have 20+ years of software engineering and AI research experience. Julia worked on precursors of Gemini using contextual neural techniques before they were called “RAG” (and applied it to products like Google Keyboard and Pixel phones). Mihail built the earliest LLMs at Amazon Alexa and launched the first contextual deep learning conversational AI system in production at Alexa.
    artificial-intelligence
    developer-tools
    machine-learning
    saas
  • MinusX
    MinusX (s2024)Active • 3 employees • San Francisco, CA, USA
    MinusX is a chrome extension that adds a side chat to your analytics apps (Jupyter, Metabase, Grafana, Tableau, etc). Given an instruction, our agent operates your apps - by clicking & typing, just like you do - to analyze data and answer queries. We believe an AI Data Scientist is a scientist, not yet-another-new-analytics-platform. MinusX interoperates with you in tools you already love and use, and as a matter of philosophy, gets out of the way.
    machine-learning
    analytics
    data-science
    ai
    ai-assistant
  • Pibit.ai
    Pibit.ai (w2021)Active • 30 employees • Palo Alto, CA, USA
    Pibit transform loss run files into comprehensive reports with actionable insights, helping carriers and MGAs enhance underwriting efficiency and make better, more accurate decisions.
    generative-ai
    machine-learning
    saas
    b2b
    insurance
  • Clau
    Clau (s2020)Active • 90 employees • Mexico City, CDMX, Mexico
    We are the real estate super app for Mexico combining a marketplace with over 20,000 properties, a crm for brokers, financial services including a mortgage brokerage, renovations and the leading data layer for residential real estate in the country.
    fintech
    machine-learning
    marketplace
    proptech
  • Imbue
    Imbue (s2017)Active • 35 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
  • AutoPallet Robotics
    AutoPallet Robotics (s2024)Active • 3 employees • San Francisco, CA, USA
    We’re building the next generation of warehouse robotics. In the US today, retailers spend approximately $10B per year paying human laborers to pick up and move cardboard boxes in warehouses. Existing solutions for automating this are expensive and difficult to install, which is why manual operation is still so prevalent. Our solution is different. We make swarms of small mobile robots that install into existing warehouses to provide a low-cost and robust automation solution for case picking and mixed-SKU palletization. Our novel technology allows these robots to be installed and operate at significantly lower cost than existing solutions while being both flexible and robust.
    hard-tech
    machine-learning
    warehouse-management-tech
    swarm-robotics
    automation
  • Undermind
    Undermind (s2024)Active • 2 employees • San Francisco, CA, USA
    At Undermind, we're building a search engine that can handle extremely complex questions. It’s geared at experts, like research scientists and doctors, who need to find very specific resources to solve high-stakes problems. We’ve rebuilt search from the ground up to address this. Our new approach employs high-quality LLMs to adaptively explore a database, mimicking how a human researcher carefully discovers information. This approach dramatically outperforms (by 10-50x) traditional keyword search and other modern AI-based retrieval methods. Our first target users are the 50 million researchers searching for scientific literature on PubMed and Google Scholar every month. We’ve have users paying us $200-$500 per seat per year, from fields like medicine, ML, biotech, finance, and more.
    machine-learning
    biotech
    search
    ai
  • Superunit
    Superunit (s2024)Active • 2 employees • San Francisco, CA, USA
    Superunit is building an AI powered ERP for companies manufacturing or selling physical goods. We’ve released our first module - AI accounting and supply chain management - to 7 customers in the last 6 weeks. We’ve booked $8.3k in MRR and just signed a pilot with a $200M apparel company. We offer automated bookkeeping, supply chain management, inventory costs, and contribution margin analysis. Our system seamlessly integrates with Quickbooks and ERPs, eliminating manual data entry and minimizing errors. Users can interact with Superunit via Slack or email, avoiding the need to learn new software. (https://www.loom.com/share/1425f6802d774e1aa00a8ac4b64782ff)
    fintech
    machine-learning
    saas
    b2b
    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.
    artificial-intelligence
    machine-learning
    consumer
    e-commerce
  • 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
  • Handoff
    Handoff (w2020)Active • 20 employees • Miami, FL, USA
    Handoff creates instant construction estimates and automates business operations for contractors with AI. Using generative AI technology and access to localized construction costs, Handoff provides remodelers with a fast, accurate, and intuitive way to create construction cost estimates in minutes.
    machine-learning
    construction
    b2b
    proptech
    api
  • 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
  • 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
  • Quell
    Quell (s2020)Active • 40 employees • London, UK
    Quell is an immersive fitness game where players get fit fighting their way through a fantasy world. Our low-cost wearable uses smart resistance bands to guide you through an exciting, effective combat workout at home. We’re Peloton meets gaming at 1/10th of the price
    hardware
    machine-learning
    sports-tech
    fitness
    gaming
  • Promi
    Promi (s2024)Active • 2 employees • San Francisco, CA, USA
    Promi is a pricing and discount optimization platform. We help merchants by personalizing and dynamically setting discounts across products to maximize sales and profit. Ecommerce merchants and marketers typically use discounts to drive customer acquisition, boost sales during holidays, or liquidate inventory. But deciding on a discount to offer is typically guesswork. Who to send the discount to, how much to offer, and which products it applies to are, in the most advanced cases, determined manually by looking at past sales and seeing what worked well. In the majority of cases, it's what feels and sounds good. Promi leverages your store data to optimize discounts at a more granular level than possible manually. We dynamically determine the best value across each product, for different users, at different times in order to maximize sales and profit.
    machine-learning
    saas
    b2b
    e-commerce
    retail
  • 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
  • FINNY AI
    FINNY AI (s2024)Active • 4 employees • New York, NY, USA
    FINNY is building a new operating system for independent financial advisors, and starting by helping them grow. Our goal is to empower the best financial advisors (the independents!) to serve all Americans who want financial advice. We are starting with growth, which is the most existential problem advisors face. The organic growth process is highly inefficient and full of noise. Advisors often waste 60 hours of business development to convert 1 new client. At FINNY, we are certain we can do better with AI. With our tool, advisors can: - Identify prospects within their target niche, aggregating thousands of data points per lead - Prioritize prospects based on their predicted likelihood of converting, a score unique to each advisor and prospect pair - Automate the outreach and meeting scheduling with their high priority prospects In essence, doing all the work for the advisors, and letting them focus on what actually matters, the client relationship.
    fintech
    machine-learning
    finance
    sales-enablement
    automation
  • 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
  • Starling
    Starling (w2022)Active • 5 employees • Houston, TX, USA
    Starling is building a urine diagnostic remote patient monitoring platform that seamlessly integrates into anyone's bathroom routine. By detecting early changes in a patient's urine using our toilet indwelling mass spectroscopy device, our platform is aiming to prevent hospitalizations from numerous conditions like recurrent UTIs, BPH exacerbations, or diabetes. We do this while creating significant new annual revenues for our clinician partners from remote patient monitoring reimbursements without requiring any significant changes in a staff's day to day schedule.
    machine-learning
    medical-devices
    digital-health
  • 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
  • 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
  • Conductor Quantum
    Conductor Quantum (s2024)Active • 2 employees • San Francisco, CA, USA
    Quantum computers will allow humanity to understand the world at its most fundamental level, enabling the acceleration of drug discovery and the development of new materials. Currently, quantum engineers spend days, sometimes weeks, manually getting their silicon chips to operational conditions to realize two qubits. A qubit is the information-carrying unit of a quantum computer, analogous to a bit in a classical computer. We need billions of qubits to make a useful quantum computer. Therefore, automation software will be vital to realizing this goal. Conductor Quantum will develop AI software to remove the human from the loop, enable the scaling of silicon quantum technology and build a silicon-based quantum computer.
    hard-tech
    machine-learning
    quantum-computing
    semiconductors
    ai
  • 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
  • mdhub
    mdhub (s2024)Active • 6 employees • San Francisco, CA, USA
    mdhub is building AI assistants for mental health clinics to efficiently run their operations. Instead of seeing patients, mental health clinicians spend 50% of their time on other tasks, delaying access to mental health care. We aim to help mental health clinicians become 10x more efficient with mdhub by automating everything that occurs before, during, and after they see patients.
    artificial-intelligence
    machine-learning
    digital-health
    healthcare
    mental-health
  • 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
  • Mystic
    Mystic (w2021)Active • 11 employees • London, UK
    Mystic’s platform allows companies to easily and reliably deploy ML models on our serverless cloud or on their own infrastructure without requiring a team of MLOps engineers. With our Python SDK, data-scientists immediately get an endpoint from their own model, or any open-source models. Once uploaded, our platform handles routing, multi-cloud scaling, caching, GPU optimization and other features to provide the ultimate ML inference platform.
    aiops
    artificial-intelligence
    developer-tools
    machine-learning
  • Reverie Labs
    Reverie Labs (w2018)Active • 29 employees • Cambridge, MA, USA
    Reverie Labs is engineering next-generation, brain-penetrant cancer therapies.
    ai-powered-drug-discovery
    machine-learning
    biotech
  • Pragmatic Leaders (Ankai Inc)
    Pragmatic Leaders (Ankai Inc) (w2021)Active • 10 employees • Gurugram, Haryana, India
    Pragmatic Leaders runs online training programs in product management for mid-career professionals in India. We are a better, faster, and cost-effective alternative to getting an MBA in specialized tech business roles like product, growth, and marketing
    ai-enhanced-learning
    artificial-intelligence
    machine-learning
    recruiting
  • Exa Laboratories
    Exa Laboratories (s2024)Active • 2 employees • San Francisco, CA, USA
    Exa is making reconfigurable chips for AI, offering superior speed and energy efficiency compared to traditional GPUs/TPUs/LPUs. Our chips automatically adapt themselves to each specific AI model, overcoming the von Neumann bottleneck, (a common limitation in standard systems). By optimizing for each AI architecture, we significantly boost both inference and training speeds while reducing energy consumption. Imagine having hardware tailored to your AI model, whilst still maintaining the flexibility of a GPU. This way, you won't need to re-manufacture your hardware each time you change your model architecture, all while still benefiting from the speed and efficiency of specialized hardware, saving data centers and compute clusters hundreds of millions of dollars every year!
    artificial-intelligence
    hard-tech
    hardware
    machine-learning
    semiconductors
  • 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
  • Cartage
    Cartage (s2024)Active • 8 employees • San Francisco, CA, USA
    Cartage is the future of freight coordination. Transparent, tech-driven and eliminating the need for human coordinators.
    machine-learning
    workflow-automation
    logistics
    supply-chain
    ai
  • Helium
    Helium (s2024)Active • 3 employees • San Francisco, CA, USA
    Helium is building self-improving software — AI that continuously experiments on key moments in the user funnel to boost revenue. Our first customer, a social app with 20M MAU, uses Helium to test new in-app paywalls to get more users to subscribe. Zach previously made $100M+ in growth experiments at Uber, Shishir led the first LLM features for Alexa, and Anish worked at Meta building ML to automatically experiment on ads, increasing Instagram ads conversion by 10%.
    developer-tools
    machine-learning
    b2b
    subscriptions
  • 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
  • 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
  • PoplarML
    PoplarML (w2023)Active • 2 employees • San Francisco, CA, USA
    PoplarML lets you deploy any machine learning model to a fleet of GPUs as a ready-to-use and scalable API endpoint with one command.
    aiops
    artificial-intelligence
    machine-learning
    b2b
    api
  • Scanbase
    Scanbase (w2023)Active • 3 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.
    machine-learning
    computer-vision
    health-tech
    telemedicine
    ai
  • Oway
    Oway (s2024)Active • 12 employees • San Francisco, CA, USA
    Oway is a rideshare freight platform that uses machine learning to automatically coordinate and sell unused space in trucks to SMBs at a 50% discount for lightning-fast shipping. Every year, nearly 50% all truck space goes unused annually in the almost $1T US trucking industry. On the other hand, SMBs represent 44% of the US GDP and are historically forced to deal with high freight rates and friction due to their small size compared to enterprise businesses. With trucking being a hyper-fragmented market (90%+ of US trucking companies are small family businesses), we decided to build an ecosystem that takes all of this inefficiency and turns it into something that could fundamentally transform the livelihoods of businesses and drivers alike. Oway is designed to be simple (you can place an order in 30 seconds) and scale with your business. Our ML rideshare protocol now allows businesses to ship freight affordably and faster than ever before. We also improve the survivability of independent truckers by maximizing their revenue when they’re already on the road - and it’s great for the environment too. 🍃
    machine-learning
    marketplace
    b2b
    ridesharing
    logistics
  • Cosine
    Cosine (w2023)Active • 6 employees • San Francisco, CA, USA
    Cosine understands your codebase better than you do. It supports 50+ coding languages, allowing developers to ask any question about their codebase, get explanations about any feature and get suggestions about how to write new code.
    artificial-intelligence
    developer-tools
    generative-ai
    machine-learning
    nlp
  • Athina AI
    Athina AI (w2023)Active • 5 employees
    Athina is an end-to-end platform for product teams building production-grade AI features. 1. Prototype: Dynamic Columns let you run LLM prompts, execute code, make API calls, retrieve data, run transformations, and more (in a spreadsheet UI) 2. Evaluate: Run evaluations within the sheet itself - there are 50+ preset evaluation metrics or you can create your own custom evals (no-code). 3. Experiment: Change your prompt, model, retriever, or chain in just a few clicks. Technical users can run even more experiments programmatically. 4. Compare: Compare any number of datasets side-by-side with a diff view, and run evaluations on all of them simultaneously 5. Observability: Monitor your LLM features in production with continuous evaluations and granular analytics. Athina can be used by non-technical users as well as technical users. This means PMs, QA, Data Scientists, and Engineers can collaborate to build great AI products.
    aiops
    artificial-intelligence
    machine-learning
    ai