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.
LeapYear develops technology for enterprises to securely unlock value from their most sensitive data assets.
Leah, formerly ContractPodAi, provides agentic AI solutions that harmonize workflows, empower teams, and unleash enterprise potential.
General Intuition is a frontier research lab focused on teaching machines to learn and adapt through play.
EliseAI is an AI-driven company that offers automation, streamlining workflows, and unique needs of housing and healthcare operations.
Dyad focuses on building trust in data and the next generation of AI-powered tools for healthcare operations.
Snowflake is a cloud data platform that provides a data warehouse as a service designed for the cloud.
Alchera Technologies has a strong and rich pedigree of world-leading machine learning and computer vision sensing technologies
Windtribe is a technology-oriented company that provides advanced artificial intelligence apps to assist in everyday life and needs.
enaible, the AI company with roots in leadership science, is pioneering machine learning to transform productivity for enterprise companies.
QC Ware is a quantum computing software company that engages in the development of enterprise solutions that runs on quantum hardware.
Ditto is the leading image recognition company for social media.
Embeddable Contracts AI that’s dead simple to use. Document AI delivers contract intelligence to your product experience
Altada is a AI data compliance platform.It provides a complete picture of the data supply chain.
Tonic.ai makes data usable for AI and software innovation to accelerate engineering velocity and safeguard data privacy
We are a Boston-based startup using AI and audio technologies to create safer & more inclusive voice chat experiences with ToxMod
SiMa.ai develops hardware and software for deploying physical AI applications at the edge.
Everestlabs.AI develops an AI-based robotics technology to recover valuable recyclables.
Invisible AI develops a visual intelligence platform to improve quality, productivity, and safety in manufacturing industries.
A Composable AI Cloud for eCommerce teams; fueling the future of full-stack AI verticalization in eCommerce.
Sisu is a decision intelligence engine that delivers insights and monitors metrics for businesses to make the right business decisions.
Lifebit CloudOS is the intelligent genomics platform that is the industry standard for unified, secure research over distributed big data.
Vottun is a platform that certify and track data for optmizing business processes using blockchain and DLT technology.
Building the future of search and discovery with API-powered personalization
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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