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.
Exactly.ai is an artwork creation platform. It allows users to create their personal AI models trained on their work and publish them.
Intelligent AI accelerates customer engagement with AI solutions for insurance and local government.
HerculesAI is empowering the Enterprise of the Future with an AI co-pilot for every knowledge worker
Kythera is a healthcare data science platform co. that improves quality, integration & speeds decision making by uncovering hidden data.
Comprehensive business and financial management for creatives
Maxa AI provides automated machine intelligence technology solutions.
Iris.ai provides an AI science assistant that helps R&D departments navigate and find research text content.
App Orchid platform helps enterprises build AI fueled apps for the energy, utilities, Insurance and healthcare industries.
Graphite simplifies the use of Machine Learning in analytics by helping business users to generate machine learning models without coding.
Rain AI develops an energy-efficient hardware for artificial intelligence (AI) applications.
StrokeDx develops rapid and portable devices to transform how strokes are diagnosed.
BeeHero is a developer of a beehive technology platform intended to maximize crop yields through pollination.
Bootloader Studio is developing a novel approach that uses Affective AI to engage humans in a positive emotional way...in mixed reality.
XponentL Data is to fully utilise data to revolutionise decision-making, increase productivity, and promote creativity.
Bolster AI protects against phishing and scams across multiple channels, such as the web, social media, app stores, and even the dark web.
Coactive AI is a machine learning platform that unlocks analytics and insights from unstructured image and video data.
MachinaLabs delivers an AI-driven platform for financial decision-making, analytics, screening, and algorithmic trading.
Automated Accounting Software for Small Businesses and Freelancers | Real-Time Tax Insights | HMRC-Compliant
Ember is a software platform to automate the accounting process for SMEs.
Innovative AI-driven recommendation systems for the media streaming industry
Shiftmation creates an environment where people can play an active role and create a better society.
Refinery for visual data + models that enables AI builders to bring the value of visual AI into their applications.
Decentralized AI ecosystem for secure, private collaboration on Cifer blockchain, using Federated Learning & Fully Homomorphic Encryption.
Nabla Bio is an autoverse platform of proprietary biologically informed machine learning that co-develops antibody drugs.
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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