Company lists · Data refreshed September 2026
Top 25 Machine learning frameworks based in the United States
RevenueBase identified 61 machine learning frameworks headquartered in the United States as of September 2026 and tracks 3,248 professional contacts across them, including 1,288 with verified work emails and 1,148 with mobile numbers. San Francisco is the largest hub.
This list covers machine learning frameworks headquartered in the United States, matched on what each company actually does as described in its own words. Ranked by team size, largest first. Every row shows the company's own description, how directly it supports the match, and when it was last checked. Data refreshed September 5, 2026.
Published by RevenueBase, a B2B data infrastructure company. This list was built with RevenueBase SmartSearch, the natural-language company search RevenueBase customers use to build their own targeted lists and unlock verified emails and direct dials at the companies on them. How these lists are built and judged.
The 25 largest machine learning frameworks based in the United States
Ranked by team size| # | Company | Contacts | |||
|---|---|---|---|---|---|
| 1 | 967 | ||||
“Snorkel AI is the frontier AI data lab, helping teams build the data and environments behind high-performing frontier and agentic AI.” Source: company website · checked Sep 5, 2026Thanks. The Data Team will review it. | |||||
| 2 | 525 | ||||
“Anaconda, the leader in advancing AI innovation, is the trusted foundation for AI-native development that empowers builders and enterprises to secure, orchestrate, and accelerate…” Source: company website · checked Sep 5, 2026Thanks. The Data Team will review it. | |||||
| 3 | 405 | ||||
“Founded in 2012, H2O.ai is on a mission to democratize AI.” Source: company website · checked Sep 5, 2026Thanks. The Data Team will review it. | |||||
| 4 | 396 | ||||
“The open-source data science company for the individual, team and enterprise.” Source: company website · checked Sep 5, 2026Thanks. The Data Team will review it. | |||||
| 5 | 166 | ||||
“Fireworks is the fastest way to build, tune, and scale AI on open models.” Source: company website · checked Sep 5, 2026Thanks. The Data Team will review it. | |||||
| 6 | 84 | ||||
“Edge Impulse offers the latest in machine learning tooling, enabling all enterprises to build smarter edge products.” Source: company website · checked Sep 5, 2026Thanks. The Data Team will review it. | |||||
| 7 | 67 | ||||
“DKube is a Private AI-focused company that develops tools and platforms that enable enterprises to run Machine Learning and Generative AI workloads efficiently.” Source: company website · checked Sep 5, 2026Thanks. The Data Team will review it. | |||||
| 8 | 64 | ||||
“Unify data, models, and compute with the fastest path to a production-ready AI system.” Source: company website · checked Sep 5, 2026Thanks. The Data Team will review it. | |||||
| 9 | 57 | ||||
“In 36 months, agentic AI systems will be an operating reality across major institutions.” Source: company website · checked Sep 5, 2026Thanks. The Data Team will review it. | |||||
| 10 | PytorchStrong evidence | 54 | |||
“An open source machine learning framework that accelerates the path from research prototyping to production deployment.” Source: company website · checked Sep 5, 2026Thanks. The Data Team will review it. | |||||
| 11 | 31 | ||||
“Every company is becoming an AI company.” Source: company website · checked Sep 5, 2026Thanks. The Data Team will review it. | |||||
| 12 | 29 | ||||
“Essential AI is on a mission to make frontier AI more accessible through an open, collaborative platform.” Source: company website · checked Sep 5, 2026Thanks. The Data Team will review it. | |||||
| 13 | 28 | ||||
“Jaseci Labs is composed of a team of AI professors, Ph.D.s and industry experts with a proven track record of developing and launching award-winning AI products for millions of…” Source: company website · checked Sep 5, 2026Thanks. The Data Team will review it. | |||||
| 14 | 23 | ||||
“Building the modern, human-centric ML/AI infrastructure stack.” Source: company website · checked Sep 5, 2026Thanks. The Data Team will review it. | |||||
| 15 | 17 | ||||
“The next generation of analytics is embedded in applications and AI.” Source: company website · checked Sep 5, 2026Thanks. The Data Team will review it. | |||||
| 16 | 16 | ||||
“Acquired by Foundry in February 2026.” Source: company website · checked Sep 5, 2026Thanks. The Data Team will review it. | |||||
| 17 | VERTAStrong evidence | 13 | |||
“Verta is a Palo Alto-based startup building software infrastructure to help enterprise data science and machine learning (ML) teams rapidly develop and deploy ML models.” Source: company website · checked Sep 5, 2026Thanks. The Data Team will review it. | |||||
| 18 | 9 | ||||
“RocketML is a Super Fast Computational engine for Machine Learning.” Source: company website · checked Sep 5, 2026Thanks. The Data Team will review it. | |||||
| 19 | 9 | ||||
“Making it easy to run or deploy machine learning models and develop LLM applications.” Source: company website · checked Sep 5, 2026Thanks. The Data Team will review it. | |||||
| 20 | PaperspaceStrong evidence | 6 | |||
“Paperspace, now part of DigitalOcean, is a high-performance cloud computing and ML development platform for building, training and deploying machine learning models.” Source: company website · checked Sep 5, 2026Thanks. The Data Team will review it. | |||||
| 21 | 5 | ||||
“Started by the core developers of the Stan language, Generable is the leading provider of open source model development, optimization, and training as well as a HIPAA-compliant…” Source: company website · checked Sep 5, 2026Thanks. The Data Team will review it. | |||||
| 22 | 5 | ||||
“Unlock the Power of AI with Bitnimbus.” Source: company website · checked Sep 5, 2026Thanks. The Data Team will review it. | |||||
| 23 | KatanemoIndirect evidence | 4 | |||
“A models-research and infrastructure company building the OSS stack for AI-native developers” Source: company website · checked Sep 5, 2026Thanks. The Data Team will review it. | |||||
| 24 | 4 | ||||
“Featureform makes it easier for developers to deliver the right data, at the right time, for the next generation of intelligent systems.” Source: company website · checked Sep 5, 2026Thanks. The Data Team will review it. | |||||
| 25 | 3 | ||||
“Einblick is the fastest and most collaborative way to explore data, create predictions, and deploy data apps.” Source: company website · checked Sep 5, 2026Thanks. The Data Team will review it. | |||||
Showing 25 of 61 machine learning frameworks based in the United States
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Machine learning frameworks based in the United States at a glance
As of Sep 5, 2026Companies by employee count
Verified emails by last verification
How this list was built
Company categories are rarely black and white. RevenueBase reads each company's own description of its business to decide whether it belongs among machine learning frameworks, so some rows will be adjacent to the category rather than pure plays. The description and evidence rating on every row are there so you can check each match yourself.
- Source
- The RevenueBase company graph: 60 million companies and 398.9 million professional contacts resolved from primary sources, queried with RevenueBase SmartSearch, the natural-language company search available to every RevenueBase user.
- What qualifies
- Companies headquartered in the United States whose own description of what they do matches “machine learning frameworks”. Matching reads each company's description, not its industry code or its name.
- What we exclude
- Companies whose own description does not clearly place them among machine learning frameworks, and records with no verified work email. Companies headquartered outside United States are excluded even when they keep an office there.
- Match quality
- In blind human judging of this matching method, 86% of matched companies were on target. Expect roughly 1 in 7 rows to be adjacent to the category rather than a pure play. Every row shows the company's own description and an evidence rating so you can judge each match yourself. Read the full methodology: how the lists are built, how the judging worked, and what the figure means.
- Ranking
- Team size, largest first: companies are ordered by the number of professionals RevenueBase tracks at each one. Employee ranges shown are reported bands, for context.
- Verification
- Every listed company carries at least one verified work email, 1,288 across the full list. Contacts re-verify on a rolling cadence, and each contact's own verification date is shown inside RevenueBase.
- Refresh
- This page's figures were pulled from the company graph on September 5, 2026. Lists refresh periodically as the graph is re-checked.
- Corrections
- Wrong category, wrong headquarters, or a company that has closed? Use “Report an issue” on any row. Reports go to the RevenueBase Data Team and feed back into the company graph.
Frequently asked
How many machine learning frameworks are there based in the United States?
RevenueBase identified 61 machine learning frameworks headquartered in the United States as of September 2026, matched on each company's own description of what it does rather than its industry code.
What is the largest company on this list?
Snorkel AI, headquartered in Redwood City, tops this list with the largest team on record.
Which city has the most machine learning frameworks?
San Francisco leads with 13 headquartered companies, followed by New York (4) and Austin (3).
How do I get contact information for these companies?
A free RevenueBase account lets you run this exact search and work the top results, verified emails and direct dials included. Upgrading unlocks all 1,288 verified decision-maker contacts tracked across these 61 companies.
How current is this list?
The list refreshes periodically as the company graph is re-checked. This page's figures were pulled on September 5, 2026.
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About this data
RevenueBase is a B2B data infrastructure company. Its company graph covers 60 million companies and 398.9 million professional contacts, with emails verified on a rolling cadence rather than scraped once and left to decay. These company lists are generated directly from that graph with RevenueBase SmartSearch, the same natural-language company search every RevenueBase user has: describe a market in plain words, get the companies that match, and add verified emails and direct dials for the people at them. It is the same data that powers RevenueBase's B2B data products, and a free account includes 500 credits to start. How these lists are built and judged.
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