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.
AI-powered business intelligence platform that enables non-technical users to discover insights through natural language
AKASA is an AI-powered automation company for revenue cycle management in healthcare.
EventCHI is a smart event platform for contactless payments, access control (including ticketing), and data science built on Stellar.
Autify is an AI-powered tool that simplifies web and mobile application testing allowing users to automate tests without having to code.
Next-Gen CX Tools for Consumer Brands: Build brand equity with Voice of Customer AI and segmented content
Constructor is an AI-enabled product search and discovery platform that provides assistance to e-commerce brands.
An EdTech spin-off in children's media, making kids imaginative, informed, and curious readers with skills assessments and 2000+ free books.
RwHealth is a provider of healthcare ML and AI driven patient flow, predictive analytics and insights platform in the UK, US and AUZ.
Regard is an IT company that uses AI to diagnose and generate accurate notes for doctors to improve patient care and reduce burnout.
Sova is an evidence based precision supplements platform
AI Based Game Development Streamline To Create, Creativity Production And Reduce Development Costs Easily
Motion Gestures is a Canadian machine learning startup specializing in gesture recognition software.
Sloyd is enabling creators to make 3D assets really fast and really easy.
Greptile provides AI-driven code reviews and development tool integration.
Prolific Machines unlocks production of next-generation therapeutics with a light-controlled gene expression system and closed-loop control.
Eko Health is a digital health company providing digital stethoscopes and an AI detection platform for diagnosing heart and lung diseases.
Viaduct's machine learning solutions allow OEMs to manage, analyze, and utilize the data generated by their connected vehicles.
Envisagenics reduce the complexity of biomedical data to accelerate the development of innovative therapeutic solutions.
Spike is a B2B Data tech & GenAI startup providing an aggregated API for all health and fitness data from wearables & IoT devices
Neural Concept is a development platform that enables handling of data pipelines, 3D machine learning models, and optimization campaigns.
LogBook is a company that creates AI and machine learning platforms for logistics location profiling.
Overcast is a software firm that provides video management solutions to streamline businesses review using AI.
Agenta is the open-source LLMOps platform that allows developers build production ready LLM-powered applications.
Modelife is a software platform that offers artificial intelligence infrastructure, customization services, and AI design solutions.
Anonymization tools, synthetic data generation, data products and cross industry solutions powered by best-of-breed 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 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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