Companies in the machine learning sector developing innovative solutions and technologies.
Explore 3,954 recently funded machine learning companies with verified founder contact information and fundraising data.
Monolith AI develops an AI assistant designed to help engineers improve product development.
AI-driven, precision-fit footwear. A TIME Best Invention of 2023.
Terradepth is a data-as-a-service company whose vision is to create a holistic map of Earth's ocean.
Amass Technologies researches and develops productivity through AI and machine learning tools.
Flowit provides an end-to-end approach that makes modern, digital HR a breeze allowing organizations to streamline their processes.
Applied machine learning to accelerate innovation in materials, chemicals, manufacturing, and beyond.
The first vision-only, white-label autonomous checkout solution that retailers can own, operate and scale themselves.
Dandi Technologies provides an AI-powered people analytics platform that helps organizations improve workforce insights and DEI decisions.
PeakData is a software platform to identify and analyze key opinion leaders in your therapeutic area.
Unique tele-sonography platform empowering health practitioners to perform musculoskeletal ultrasound diagnostics at the point of care
Compliance.ai is a change management platform for financial services firms and compliance professionals.
Scientific Diagnostic-SaaS that helps HR to achieve a 5x better pre-selection and avoid 30 % of their bad hires before the first interview.
Abax Health is a clinical analytics and patient communications platform that helps in solving healthcare's revenue leakage challenges.
Dyad focuses on building trust in data and the next generation of AI-powered tools for healthcare operations.
CLIKA is a software company that develops optimization tools to streamline the execution of artificial intelligence projects.
Domino Data Lab provides an enterprise platform designed to help organizations build, deploy, and manage AI and machine learning models.
Weel transforms smartphones into GPS navigators and dashcams through its mobile application.
deckrobot is a Generative AI platform for communicating business ideas through corporate documents
We help mitigate derailments and delays for rail operators with data analytics
Syntegra applies state-of-the-art machine learning models to create synthetic healthcare datasets.
Wrabbit enables people with no crypto experience to make smarter decisions by providing investment opportunities and education using AI.
A social enterprise which provides ethical dataset annotation and real-time AI model validation services to the computer vision industry
Shifting paradigms and unlocking ETH’s true potential with the first on-chain intelligence protocol. Assess risk with deep data.
The machine learning sector is an active area of startup innovation and venture capital investment. Companies in this space are developing new technologies, platforms, and services that address evolving market needs and create new business opportunities.
Machine Learning companies raise capital across various funding stages, from early seed rounds to late-stage growth financing. Investor interest in this sector is driven by the size of the addressable market, the pace of technology adoption, and the potential for scalable business models.
The machine learning sector is expected to continue evolving as technology advances, market dynamics shift, and new opportunities emerge. Companies that demonstrate strong product-market fit, efficient growth, and clear competitive advantages are well-positioned to attract continued investment.
Here is how funding is distributed among the 3,954 machine learning companies tracked in the VCBacked database.
Companies in the machine learning sector often overlap with or complement businesses in adjacent industries. Exploring related verticals can help you discover additional companies, identify partnership opportunities, and understand the broader competitive landscape.
Perfect for: B2B sales teams targeting machine learning companies, investors exploring sector opportunities, and service providers looking for funded companies ready to scale.
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