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.
Odyssey develops general-purpose AI world models that provide causal, multimodal simulations.
Greenphard Energy is an IT consulting firm that offers renewable energy, machine learning, IoT data analysis, and cloud computing services.
Biotia is a health tech startup offering AI-based solutions to diagnose and control infectious disease.
7 Chord's BondDroid AI is a real-time dynamic pricing engine of tradable assets make informed profit-maximizing decisions.
Yosh.AI is a deep tech company which automates the communication between enterprises and users with AI voice and text assistants.
Intradys is a developer of medical software technology designed for interventional neuroradiology.
Maia is a healthcare AI engine that increases income by optimizing CPT billing and identifying unfavorable billing trends.
TakeCare OS is an AI system for disability, aged care, and home care that consolidate the entire lifecycle-scheduling, billing into system.
Braven Streamlines Reinsurance workflows using AI Native capabilities.
GuideAI Health develops AI that flags chronic vascular disease from imaging and guides follow-up and patient navigation.
Matforge develop AI systems that act as scientists, finding the advanced materials needed to build better microchips and faster datacenters.
Foaster is a consulting company that provides AI-driven consulting services for enterprise AI transformation and workforce upskilling.
Huscarl provides AI-driven actuarial advisory and insurance analytics for corporate risk managers and finance leaders.
Node.ai is the AI platform designed by and for investment professionals. Illiquid assets, traditional assets, and personalization.
Pavoot provides an AI agent that manages event workflows and turns event engagement into sales pipeline.
BioStack is a digital platform that provides healthcare AI training environments and curated multimodal clinical datasets.
Incandor develops behavioral intelligence software and APIs for fraud detection on digital financial platforms.
Incandor develops behavioral intelligence software and APIs for fraud detection on digital financial platforms.
ReasonBlocks provides AI infrastructure and developer tools for optimizing autonomous agent workflows.
Bland AI enables organizations to build, deploy, and manage automated phone agents for inbound and outbound conversations.
Atrisa is a B2B SaaS platform that develops tools for securing AI models and automating analog circuit design workflows.
Autostep provides desktop software that identifies repetitive business tasks and recommends automation or process changes.
Standard Signal develops AI-driven hedge fund strategies using autonomous financial LLM trading systems.
Intelligence Factory builds robot intelligence that learns by seeing, doing and feeling, enabling robots to reason and act seamlessly.
Station A is a technology company reimagining how clean energy is bought and sold.
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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