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, its RevenueBase Smart Search rating, 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 Smart Search, 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.

How to read this list HQ checked on every row RevenueBase Smart Search rating on every row Refreshed Sep 5, 2026 86% judged on-target in blind review
61Companies
3,248Contacts tracked
1,288Verified emails
1,148Mobile numbers
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The 25 largest machine learning frameworks based in the United States

Ranked by team size
Top 25 of 61 machine learning frameworks based in the United States, ranked by team size, largest first. Data refreshed Sep 5, 2026. RevenueBase Smart Search rates how each company's information relates to machine learning frameworks: strong evidence (its own description names it), partial (names part of it), indirect (matched on the rest of its profile rather than the description shown). Click a contact count to view that company's people.
#CompanyRevenueBase Smart SearchHeadquartersEmployeesContacts
1Indirect evidenceRedwood City, CA, United StatesHQ checked Sep 5, 2026201-500967 contacts →

Indirect evidence

“Snorkel AI is the frontier AI data lab, helping teams build the data and environments behind high-performing frontier and agentic AI.”

Source: RevenueBase Database · checked Sep 5, 2026
2Indirect evidenceAustin, TX, United StatesHQ checked Sep 5, 2026201-500525 contacts →

Indirect evidence

“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: RevenueBase Database · checked Sep 5, 2026
3Indirect evidenceMountain View, CA, United StatesHQ checked Sep 5, 2026201-500405 contacts →

Indirect evidence

“Founded in 2012, H2O.ai is on a mission to democratize AI.”

Source: RevenueBase Database · checked Sep 5, 2026
4Indirect evidenceBoston, MA, United StatesHQ checked Sep 5, 2026201-500396 contacts →

Indirect evidence

“The open-source data science company for the individual, team and enterprise.”

Source: RevenueBase Database · checked Sep 5, 2026
5Indirect evidenceSan Mateo, CA, United StatesHQ checked Sep 5, 202651-200166 contacts →

Indirect evidence

“Fireworks is the fastest way to build, tune, and scale AI on open models.”

Source: RevenueBase Database · checked Sep 5, 2026
6Strong evidenceSan Diego, CA, United StatesHQ checked Sep 5, 202651-20084 contacts →

Strong evidence

“Edge Impulse offers the latest in machine learning tooling, enabling all enterprises to build smarter edge products.”

Source: RevenueBase Database · checked Sep 5, 2026
7Strong evidenceSan Jose, CA, United StatesHQ checked Sep 5, 202651-20067 contacts →

Strong evidence

“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: RevenueBase Database · checked Sep 5, 2026
8Indirect evidenceSeattle, WA, United StatesHQ checked Sep 5, 202611-5064 contacts →

Indirect evidence

“Unify data, models, and compute with the fastest path to a production-ready AI system.”

Source: RevenueBase Database · checked Sep 5, 2026
9Indirect evidenceAustin, NC, United StatesHQ checked Sep 5, 202651-20057 contacts →

Indirect evidence

“In 36 months, agentic AI systems will be an operating reality across major institutions.”

Source: RevenueBase Database · checked Sep 5, 2026
10Strong evidenceSan Francisco, CA, United StatesHQ checked Sep 5, 2026501-1,00054 contacts →

Strong evidence

“An open source machine learning framework that accelerates the path from research prototyping to production deployment.”

Source: RevenueBase Database · checked Sep 5, 2026
11Indirect evidenceBellevue, WA, United StatesHQ checked Sep 5, 2026n/a31 contacts →

Indirect evidence

“Every company is becoming an AI company.”

Source: RevenueBase Database · checked Sep 5, 2026
12Indirect evidenceSan Francisco, United StatesHQ checked Sep 5, 202611-5029 contacts →

Indirect evidence

“Essential AI is on a mission to make frontier AI more accessible through an open, collaborative platform.”

Source: RevenueBase Database · checked Sep 5, 2026
13Indirect evidenceAnn Arbor, MI, United StatesHQ checked Sep 5, 202611-5028 contacts →

Indirect evidence

“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: RevenueBase Database · checked Sep 5, 2026
14Indirect evidenceSan Francisco, CA, United StatesHQ checked Sep 5, 202611-5023 contacts →

Indirect evidence

“Building the modern, human-centric ML/AI infrastructure stack.”

Source: RevenueBase Database · checked Sep 5, 2026
15Indirect evidencePortland, OR, United StatesHQ checked Sep 5, 202611-5017 contacts →

Indirect evidence

“The next generation of analytics is embedded in applications and AI.”

Source: RevenueBase Database · checked Sep 5, 2026
16Indirect evidenceSeattle, WA, United StatesHQ checked Sep 5, 202611-5016 contacts →

Indirect evidence

“Acquired by Foundry in February 2026.”

Source: RevenueBase Database · checked Sep 5, 2026
17Strong evidenceMenlo Park, CA, United StatesHQ checked Sep 5, 202611-5013 contacts →

Strong evidence

“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: RevenueBase Database · checked Sep 5, 2026
18Strong evidenceBeaverton, OR, United StatesHQ checked Sep 5, 202611-509 contacts →

Strong evidence

“RocketML is a Super Fast Computational engine for Machine Learning.”

Source: RevenueBase Database · checked Sep 5, 2026
19Strong evidenceSan Francisco, CA, United StatesHQ checked Sep 5, 20261-109 contacts →

Strong evidence

“Making it easy to run or deploy machine learning models and develop LLM applications.”

Source: RevenueBase Database · checked Sep 5, 2026
20Strong evidenceNew York, NY, United StatesHQ checked Sep 5, 202611-506 contacts →

Strong evidence

“Paperspace, now part of DigitalOcean, is a high-performance cloud computing and ML development platform for building, training and deploying machine learning models.”

Source: RevenueBase Database · checked Sep 5, 2026
21Indirect evidenceNew York, NY, United StatesHQ checked Sep 5, 20261-105 contacts →

Indirect evidence

“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: RevenueBase Database · checked Sep 5, 2026
22Indirect evidenceChicago, IL, United StatesHQ checked Sep 5, 20261-105 contacts →

Indirect evidence

“Unlock the Power of AI with Bitnimbus.”

Source: RevenueBase Database · checked Sep 5, 2026
23Indirect evidenceBellevue, WA, United StatesHQ checked Sep 5, 20261-104 contacts →

Indirect evidence

“A models-research and infrastructure company building the OSS stack for AI-native developers”

Source: RevenueBase Database · checked Sep 5, 2026
24Indirect evidenceSan Francisco, CA, United StatesHQ checked Sep 5, 202611-504 contacts →

Indirect evidence

“Featureform makes it easier for developers to deliver the right data, at the right time, for the next generation of intelligent systems.”

Source: RevenueBase Database · checked Sep 5, 2026
25Indirect evidenceCambridge, MA, United StatesHQ checked Sep 5, 202611-503 contacts →

Indirect evidence

“Einblick is the fastest and most collaborative way to explore data, create predictions, and deploy data apps.”

Source: RevenueBase Database · checked Sep 5, 2026

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, 2026
39.7%Verified-email coverage
35.3%Mobile-number coverage
53.2Average contacts per company
11-50Median size (employees)
21.3%Largest-city concentration · San Francisco
Sep 5, 2026Page data refreshed

Companies by employee count

1-10
24
11-50
23
51-200
9
201-500
4
501-1,000
1

Freshness & accuracy

How recently the business emails on this list were verified

Email last verified

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 RevenueBase Smart Search 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 Smart Search, 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.
RevenueBase Smart Search
RevenueBase Smart Search is how this list is assembled and how each row is rated. RevenueBase's data engine and AI assess a company's LinkedIn profile, information supplied directly by the company, its website and other publicly available information, then relate it to a category defined in a user's own words. Each row is rated strong evidence (its own description names machine learning frameworks), partial evidence (it names part of the category) or indirect evidence (the description shown names none of it and the match rests on the rest of the company's profile). The description supporting each rating is quoted on the row.
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 its RevenueBase Smart Search 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

What is RevenueBase Smart Search?

RevenueBase Smart Search is how RevenueBase decides which companies belong on this list and how strongly each one fits. Its data engine and AI assess a company's LinkedIn profile, information supplied directly by the company, its website and other publicly available information, then relate it to the category the list is about. Each row is rated strong evidence when the company's own description names machine learning frameworks, partial evidence when it names part of the category, and indirect evidence when the description shown names none of it and the match rests on the rest of the company's profile.

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 Smart Search, 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.