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.
Cruise is an autonomous vehicle company that develops electric cars for urban mobility.
Poetic is an AI platform that automates complex, multi-step business workflows, enhancing operational efficiency from end to end.
Clinicgram is a digital health modular platform that uses artificial intelligence to optimize clinical image on wound management.
Glean develops an AI-based search engine software that connects enterprise data and generates answers to improve workplace efficiency.
Daybreak is an enterprise AI company that offers an AI-native platform for supply chain planning and decision automation.
Scale AI provides a data-oriented platform that assists in the development of AI applications.
Elai is a text-to-video platform that allows users to generate AI videos with real humans just from text.
LumingLabs is an organization dedicated to making cloud access available to everyone.
NeuroTechR3 is a Biomedical Device/Digital Health company that develops ML-driven rehabilitation technologies for persons with brain injury.
Lalaland utilizes artificial intelligence to create models for fashion brands to show their collections for any size and skin tone.
Kingscrowd is the definitive data, research and advisory platform for the emerging online private markets.
Sentenai is a cloud-based platform for automating data engineering for machine learning and predictive applications, primarily in IoT.
Rubik is a financial data platform for single family homes.
Natural Intelligence Systems develops a pattern-based AI which is purpose-built for humans.
Chooch is a health tech company that is involved in autonomous AI for healthcare and hospital inventory management.
RGo Robotics is a robotics company that enables mobile robots to understand complex surroundings and operate autonomously.
Tempus develops AI-enabled precision medicine technology that supports clinical decision-making and biomedical research.
Lambda is a cloud-based platform that provides high-performance GPU hardware and cloud infrastructure for AI model training and inference.
Kohort develops machine learning software for mobile gaming analytics, forecasting, and user acquisition optimization.
Commoditizing machine learning. Amplify revenue, refine focus.
InteliCare has commercialized a predictive analytics engine hardware and software system for use in the aged care and health industries.
Data² is a software development company that offers big data, machine learning, and artificial intelligence services.
Fruitful AI is an operator of an artificial intelligence-powered platform intended to help agronomists in optimal decision-making.
OraQ AI is a clinical decision support system that empowers patients to improve wellness practice through a holistic approach.
Ubie is a health-tech startup that provides an AI-powered symptom checker and a personalized report on possible causes of symptoms.
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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