Companies in the machine learning sector developing innovative solutions and technologies.
Explore 4,019 recently funded machine learning companies with verified founder contact information and fundraising data.
Outerbounds provides human-centric infrastructure for ML and data science based on Metaflow, an open-source framework created at Netflix
StackFuel offers online programs for upskilling and reskilling in data literacy, data science, and AI.
Telekinesis is building the intelligence layer for Physical AI
We help content creators offer interactive live video stream experiences amplified by data-driven engagement features and shopping.
Cockpit is the operating system for AI agents. Every OS was built for humans. Cockpit is built for AI agents.
Zan Compute is a smart facility management AI platform company
AANN.ai provides an AI-powered social authenticity network, provable trust metrics, and genuine engagement tools.
Comprehensive data annotation services, auto-annotation platform, AI data management SaaS
DeepHow develops an AI-powered learning platform for manufacturing, service, and repair.
Pioneera is the grammarly for mental health, using AI to identify and prevent workplace burn out and other mental health issues.
CereVu Medical develops AI-driven proprietary algorithms and data analytics designed to improve patient care.
Kronnika develops simple & powerful robotic process automation
Ressolve AI is an artificial intelligence software that focusses on speech/text analytics and NLP/NLU.
Paradox is an AI company that helps companies capture and screen candidates, improve conversions, and answer all candidate questions.
Beegol is an AI Platform Delivering Real-Time Network Monitoring, Diagnostics and Self-Healing for Global ISPs
Reface is a product company from Ukraine developing generative AI tools for content creation
Cosine is an AI knowledge engine that understands your codebase.
Foundational Model (DID) LLM, Agentic Logo System, Human Energy Grid, Blockchain, NFT Custom Logo and Facial Recognition
Preferred Networks develops real-world applications of deep learning, robotics and other latest technologies.
Oatmeal Health is an AI company that plugs into radiology systems to predict lung cancer risk from CT scans.
Enlitic builds AI deep learning products to streamline radiologists' workflows and improve healthcare diagnosis.
Chicago Global is a next-generation investment management firm, which runs timeless investment strategies powered by advanced technology.
7Spire builds causal AI and reinforcement-learning tools for operational decision intelligence.
Buluttan is a weather intelligence firm offering next-gen weather and climate solutions for businesses.
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 4,019 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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