Top 10 Machine Learning startups in USA

Updated: May 12, 2024

1
Funding: $11.3B
OpenAI is an AI research and deployment company. Our mission is to ensure that artificial general intelligence benefits all of humanity.
2
Funding: $1.5B
Inflection AI is an artificial intelligence startup that develops personal AI chatbots.
3
Funding: $1B
DataRobot's automated machine learning platform makes it fast and easy to build and deploy accurate predictive models.
4
Funding: $974.1M
Zymergen uses machine learning to discover and engineers microbe genomes to produce new molecular products for new materials.
5
Funding: $850.6M
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
6
Funding: $415M
Adept AI is a machine learning research and product lab building general intelligence.
7
Funding: $135.3M
Snorkel AI is focused on making AI practical through Snorkel Flow: the data-first platform for enterprise AI.
8
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
Funding: $122.5M
Together is providing leading open-source generative AI models and a cloud platform that makes AI accessible to anyone, anywhere.
10
Funding: $84.8M
The training data platform trusted by the world's most ambitious organization to develop accurate machine learning models.
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11
Funding: $69.8M
Comet.ml allows data scientists to automatically track their datasets, code changes, experimentation history, and production models.
12
Funding: $62M
Streamlit is an app framework for quickly creating and deploying data science apps
13
Funding: $60.3M
Arthur.ai develops machine learning model monitoring tool
14
Funding: $60M
MosaicML builds efficient infrastructure for training large language models. Acquired by Databricks.
15
Funding: $57M
Landing AI applies AI and deep learning to help manufacturers solve challenging visual inspection problems and generate business value.
16
Funding: $44M
Robust Intelligence eliminates AI Failures by detecting model vulnerabilities and automatically preventing bad outcomes.
17
Funding: $42.3M
Truera provides AI Quality management solutions that evaluate, optimize, and monitor machine learning models.
18
Funding: $22.5M
Latent AI accelerates AI implementation and workflows for the enterprise cost-effectively anywhere on the edge continuum with Adaptive AI.
19
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.
20
Funding: $20M
The fastest way to build machine-learning powered applications.
21
Funding: $14M
Coactive AI is a machine learning platform that unlocks analytics and insights from unstructured image and video data.
22
Funding: $8.6M
Activeloop structures the unstructured data to seamlessly connect your computer vision data to machine learning models.
23
Funding: $1.64M
CatalyzeX develops productivity tools for machine learning R&D
24
Funding: $325K
Datrics democratizes the creation of self-service analytics and machine learning solutions by providing an intuitive drag-n-drop interface.
25

AppTek combines cutting-edge artificial intelligence research with meaningful and transformative real-world applications. Our team consists of world-leading scientists with an extensive list of patents, innovations and academic publications contributing to the advancement of neural network and machine learning science and technology. Based on our scientific research, our engineering team helps convert these advancements into commercially viable real-world applications that improve the daily life in areas including accessibility, commerce, trade, and communication across languages.