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.
Matforge develop AI systems that act as scientists, finding the advanced materials needed to build better microchips and faster datacenters.
Oddin.gg is an esports platform that offers betting ecosystemswith real-time odds, iFrame, risk management, and official esports data.
Station A is a technology company reimagining how clean energy is bought and sold.
Typly is a mobile application based typing assistant for AI and NLP technologies.
Process Talks is a no code automation platform using AI and language to simplify office workflows for SMEs.
Smartlane Transport Intelligence is a cloud-based software for transport optimization for general cargo logistics
Tasq is a developer of a task management system powered by machine learning.
Radical Numerics develops AI for biological intelligence, aiming to enhance gene-editing tools through advanced models.
Lightsprint provides an AI-native product development platform for teams to plan, build, and ship software on a shared codebase.
Clearbox AI helps companies to unlock and enrich AI and Data projects through the generation of Synthetic Data.
Panda AI develops a B2B artificial intelligence platform designed to simplify work and combine various tasks.
ELECTRA AI develops software platforms that use AI to monitor, manage, and optimize battery systems across multiple applications.
Roosted is an HRIS made for the gig-economy. Scheduling, time & attendance, payroll, and communication powered by AI.
AngioInsight is a fully automated computer-based platform to assist with coronary angiogram video interpretation.
Experts in smart electrical analysis. Technological solutions for Infrastructures 4.0, to ensure efficient, safe and sustainable processes.
Attention Insight improves advertising campaign results and design performance with pre-launch analytics.
datma develops a cloud based infrastructure for the ingestion, harmonization, analysis and federation of large healthcare data sets.
PublishDrive is the most intelligent self-publishing platform for business-driven indie authors and publishers.
Xelera's software makes state-of-the-art accelerator technology accessible to commercial applications in the data center and in the cloud.
Chain.io is a cloud-based supply chain integration platform designed to optimize supply chain processes.
fileAI transforms complex enterprise files into trusted, governed intelligence for AI workflows and autonomous operations.
Dragonfruit AI develops an enterprise video AI platform that provides video analytics at scale.
Sovrinti is a home sensing system developer who specializes in detecting behavior patterns that may indicate major health conditions.
Primer develops a text analytics solution designed to automate the analysis of textual 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 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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