Top 20 Machine Learning startups in USA

Dec 03, 2025
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1
OpenAI
Funding: $61.9B
OpenAI develops generative AI models: GPT for language, DALLE for images and Sora for video. The company's main product is the chatbot ChatGPT, which is used as a personal smart assistant and in enterprise customer support and knowledge management systems via APIs. The company also conducts scientific research aimed at achieving artificial general intelligence. The company's initial goal was the security and openness of artificial intelligence, but it has gradually moved toward closing and commercializing its ML and NLP technologies. According to CEO Sam Altman, AGI is achieving a certain amount of revenue. The primary OpenAI's investor is Microsoft and it has strategic partnership with NVidia.
2
Inflection
Funding: $1.5B
Inflection AI is an artificial intelligence startup that develops personal AI chatbots.
3
DataRobot
Funding: $1.1B
DataRobot's automated machine learning platform makes it fast and easy to build and deploy accurate predictive models.
4
Cybereason
Funding: $970.6M
Complete next-generation endpoint security: EDR, NGAV, anti-ransomware, fileless malware protection, and managed services powered by a proprietary AI hunting engine. Cybereason uses machine learning to increase the number of endpoints a single analyst can manage across a network of distributed resources
5
Together
Funding: $533.5M
Together is providing leading open-source generative AI models and a cloud platform that makes AI accessible to anyone, anywhere.
6
Liquid AI
Funding: $293.2M
Liquid AI is a developer of AI applications that help improve human experience.
7
Baseten
Funding: $285M
The fastest way to build machine-learning powered applications.
8
OctoML
Funding: $132M
OctoML develops Apache TVM machine learning compiler stack project that allows to use machine learning to optimize machine learning models so they can more efficiently run on different types of hardware.
9
Sama
Funding: $84.8M
The training data platform trusted by the world's most ambitious organization to develop accurate machine learning models.
10
Comet
Funding: $69.9M
Comet.ml allows data scientists to automatically track their datasets, code changes, experimentation history, and production models.
11
Streamlit
Funding: $62M
Streamlit is an app framework for quickly creating and deploying data science apps
12
Landing AI
Funding: $57M
Landing AI applies AI and deep learning to help manufacturers solve challenging visual inspection problems and generate business value.
13
Robust Intelligence
Funding: $44M
Robust Intelligence eliminates AI Failures by detecting model vulnerabilities and automatically preventing bad outcomes.
14
Coactive AI
Funding: $44M
Coactive AI is a machine learning platform that unlocks analytics and insights from unstructured image and video data.
15
TruEra
Funding: $42.3M
Truera provides AI Quality management solutions that evaluate, optimize, and monitor machine learning models.
16
Latent AI
Funding: $22.5M
Latent AI accelerates AI implementation and workflows for the enterprise cost-effectively anywhere on the edge continuum with Adaptive AI.
17
Motivo
Funding: $20.5M
Motivo enables IC design houses to unleash a wave of innovations and products by delivering a new paradigm, an AI-driven design approach that reduces by a factor of 10 the time and cost to design and ramp chips.
18
Activeloop
Funding: $19.6M
Activeloop structures the unstructured data to seamlessly connect your computer vision data to machine learning models.
19
CatalyzeX
Funding: $1.64M
CatalyzeX develops productivity tools for machine learning R&D
20
Datrics
Funding: $1.3M
Datrics democratizes the creation of self-service analytics and machine learning solutions by providing an intuitive drag-n-drop interface.
Editor: Siddhant Patel
Siddhant Patel is a senior editor for AI-Startups. He is based out of India and has previously worked at publications including Huffington Post and The Next Web. Siddhant has a special interest in artificial intelligence and has spent a decade covering the rapidly-evolving business and technology of the industry. Siddhant graduated from the Indian Institute of Science (Bengaluru). When he’s not writing, Siddhant is also a developer and has a deep historical knowledge of the computer industry for the past 50 years. You can contact Siddhant at sidpatel(at)ai-startups(dot)pro