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.
Chef Robotics is a robotics and artificial intelligence company serving the food industry.
Mahojin is an Web3-powered AI image company that helps users to instantly generate professional quality images.
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Vaire builds energy-efficient semiconductor technology that powers AI computing with ultra-low energy consumption.
Reverence is a technology company enabling healthcare provider groups to significantly improve staffing operations.
ARAYA is an AI services provider that utilizes machine learning algorithms including deep learning to meet customers' needs.
Speechly is software that provides a voice user interface (UI) API for web and mobile.
PlanBlue utilities a new seafloor monitoring technology that's changing the way they map and assess the health of seafloor areas.
MeetMo is a cloud-native platform that seamlessly connects devices, people, and ideas.
Black Crow AI develops a business analytics platform that delivers machine learning predictions.
Syntiant is a deep learning tech company providing AI voice and sensor solutions.
Promaxo is commercializing customer-centric MRI systems and robotic guidance tools for live diagnosis and treatment in a physician's office.
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Inato is a platform designed for clinical trials that can unlock research site potential.
The EverC solution is the first vertical AI risk classification platform designed for the needs of global marketplaces & payment providers.
Terret helps companies achieve predictability and scaleable growth through accurate forecasting.
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.
Citylitics delivers predictive intelligence on local utility and public infrastructure markets.
OneMarket offers customer data management and activation that empowers mid-sized and emerging retailers to acquire new customers.
Yokoy is a financial technology company that offers automated expense, invoicing, and credit card processing.
Polaris is a Web Application & API Protection (WAAP) platform with proprietary Machine Learning (ML) engine that improves detection accuracy
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.
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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