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.
Robin AI serves as an AI-driven legal assistant designed to automate and expedite the drafting and negotiation of contracts.
Symtri is an innovative CPaaS platform delivering cutting-edge marketing solutions to transform communication and automate campaigns.
Zengines is an early-stage AI tech company solving data integration problems using the latest machine learning techniques and algorithms.
R.grid automates clinical trials with AI-driven platforms for efficiency.
ARTBnk is an enterprise FinTech platform purpose-built to enable institutions to manage art as a liquid financial asset.
NOORAI specializes in AI and data analytics services, offering advisory, predictive intelligence, and simulation solutions.
PushPress is a vertical B2B SaaS company that offers a gym management software serving SMB boutique fitness studios market.
Third Wave Automation provides cloud robotics and machine learning technology to material handling automation.
CredibleMind helps people optimize their mental health, emotional well-being and spiritual growth.
Aignostics is an AI-powered precision diagnostics focused on pathology to assist with drug development and clinical research.
Reflexivity provides analytics and artificial intelligence-based solutions for the investment industry.
The EIQ platform is a hyperautomation enablement solution with a comprehensive feature set designed to help enterprises
Emidat builds climate intelligence for the construction industry.
Read AI is a productivity AI company that enhances workflows with meeting analytics, scheduling, and summaries across messages and email.
Paretos is the leading AI-based decision intelligence platform to make effective, data-driven decisions across entire organizations.
measurable. energy is a machine learning and hardware platform to eliminate wasted energy and GHG emissions in buildings.
Automatic legal contract drafting platform for anyone.
Revolutionizing financial intelligence with AI to surface unknown risks and opportunities.
iLoF is a digital health company pioneering a breakthrough AI-platform to accelerate the future of personalized medicine.
Stokckmark is a natural language processing company that provides AI-powered software that accelerates business creation activities.
Accelerating the development and deployment of next-generation engineering materials through AI and Computational Materials Engineering.
I-care Group provides predictive maintenance and reliability solutions for industrial assets.
Aya Data provides data annotations, data collection, natural language processing, and transcription services.
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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