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.
Seamless fusion of human intelligence and artificial intelligence, working together as one unified workforce in Enterprises.
Aillis is an AI-powered medical device for early and accurate influenza detection in the development of innovative medical devices.
Nurau's AI-driven software supports manager wellbeing to radically improve employee turnover.
Boosted.ai is an artificial intelligence company that automates investment management processes for the global financial industry.
PlayAI offers AI voice models for natural and emotive conversations.
All-in-One Travel Platform for travelers to utilize any kind of digital solution they need
Lightning AI is the first operating system for AI. Build AI models and Lightning Apps (end to end ML systems).
A unique API connected to the best AI engines and combined with a powerful management platform
CraveSolutionsAI delivers tailored AI solutions to optimize operations, enhance decisions, and drive growth for businesses worldwide.
Tokoney provides personal service that leverages technology, accelerating sustainable adoption and creating great client experiences.
PrimeAI deploys accessible AI/machine learning engines through our PrimeAI Portal to drive significant EBITDA for our customers
FertilAI develops AI algorithms that improve the success rates of fertility treatments and various workflows between doctors and patients.
Cytomos develops and provides integrated, predictive analytics systems for intelligent bioprocessing in biopharma.
Revv equips repair shops with AI-powered SaaS solutions to stay ahead in the shift toward advanced vehicle technology
Portcast is a logistics technology company that offers services for tracking containers and enhancing customer communication.
AI Operating System for Unattended Convenience Retail.
Deep Learning x Synthetic Biology for Novel Protein Therapeutics
Mach9 is building the fastest geospatial production platform for engineering and construction firms globally, starting with Digital Surveyor
Mundial Media is the only NMSDC certified contextual marketing platform that enables brands to connect authentically with diverse audiences.
Easy-to-use machine-learning platform that leverages small data to develop new chemicals, materials, and processes up to 32x faster.
Medeloop is a SaaS company that offers data infrastructure designed for early-stage researchers.
Ligence is a deep tech company that offers an AI tech product that works as a heart ultrasound image analysis tool.
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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