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.
OneTriangle optimizes LLM inference speed and cost by transferring the KV cache from smaller prefill models to larger decode models.
Codag cuts coding-agent costs by optimizing large tool outputs like logs and test results so agents consume fewer tokens.
Magma enables companies building AI agents to monetize their workflow traces and interaction data by licensing them to AI labs.
CoArena provides a live evaluation platform and public leaderboard where AI computer-use agents race side-by-side on real-world tasks.
Insurf provides AI-based tools for managing prior authorizations, denial appeals, and health plan cost modeling.
Vivid Machines is a startup company that revolutionizes agricultural production to help fruit and vegetable farmers produce more food.
Adas Eco develops AI-powered infrastructure for warehouses, orchestrating intelligent forklifts and robotic through real-time intelligence.
Prodigy Research trains foundation models and autonomous AI agents for quantitative trading across global financial markets.
End-to-end computer vision for event driven analytics
The Machine Teaching Solution for Data-Centric A.I. We accelerate AI dev by 10-100x by focusing on the most important part: The Data.
B2B, SaaS, Talent Acquisition System, Subscription, HR Tech, Artificial Intelligence, Natural Language Processing
Streetbees is a human intelligence platform that collects and analyzes offline consumer behavior.
MindTrace is a medical software company that develops personalized 3D brain maps to guide neurosurgeries.
All-weather autonomous driving technology for industrial, mobility, and defense vehicles—reliable in any conditions.
Smartfluence is a platform that algorithmically connects brands and advertisers with social media influencers by using machine learning.
Sugarrr is an application that provides AI and machine learning-based models to analyze and monitor data provided by diabetes patients.
Staffly is a technology company that provides psychometric assessment tools for recruitment.
FLYR is a technology company that uses AI to help airlines and hospitality businesses.
A2GO provides AI-enabled S&OP solutions that integrate with existing systems to optimize supply chain management.
Unlock the potential of your data with automated causal machine learning
CLIPr automatically generates police report drafts from body-worn camera audio to cut in half the time required to document
PerVista leverages AI to analyze video streams in real-time to detect weapons and proactively notify public safety authorities.
Alkymi is the first end-to-end solution for turning your private markets data into actionable insights.
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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