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.
Inato is a platform designed for clinical trials that can unlock research site potential.
Citylitics delivers predictive intelligence on local utility and public infrastructure markets.
OmniML is a AI/ML startup developing smaller and faster machine learning models and training platform.
Dascena develops machine learning algorithms to enable early disease intervention and improve care outcomes for patients.
Polaris is a Web Application & API Protection (WAAP) platform with proprietary Machine Learning (ML) engine that improves detection accuracy
OneMarket offers customer data management and activation that empowers mid-sized and emerging retailers to acquire new customers.
Terret helps companies achieve predictability and scaleable growth through accurate forecasting.
Yokoy is a financial technology company that offers automated expense, invoicing, and credit card processing.
AccuShoot is a machine learning-based application that digitizes the marksmanship experience by monitoring target and shooter in real-time.
Transmetrics optimizes logistics planning and asset management by leveraging the power of predictive analytics and artificial intelligence.
KONUX is the first AI scale-up offering predictive maintenance, network usage, monitoring and planning solutions for railway infrastructure.
GoodJob is a SaaS / AI platform that provides deep matching of jobs and candidates.
HeadSpin is a developer of a digital experience intelligence platform used to provide flawless digital experiences.
Safesize revolutionize the way people buy shoes anytime, anywhere.
Leather Corp provides Sound for Entertainment.
Benson Hill is a provider of crop design platform to develop healthier and more sustainable food and ingredients.
European private Generative AI for regulated B2B. LAGI© models on your data, on-prem or EU cloud. GDPR & EU AI Act ready.
Digitech Oasis is a robotics and AI company transforming supply chains and omnichannel fulfilment through intelligent industrial automation.
AI-Driven Clarity: Revolutionizing how the Health and Wellness Sector empowers its patients and customers with only FACTUAL Health Info
Surge personalizes the care of patients undergoing surgery by providing an accurate prediction of postoperative infections.
Chartmetric is a music analytics tool that turns data into insights to help music industry professionals make informed business decisions.
Rose leverages artificial intelligence to simplify the process for patients to seek and receive mental health care.
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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