Company lists · Data refreshed September 2026
Top 25 Open source machine learning platforms based in the United States
RevenueBase identified 120 open source machine learning platforms headquartered in the United States as of September 2026 and tracks 9,600 professional contacts across them, including 1,946 with verified work emails and 1,490 with mobile numbers. San Francisco is the largest hub.
This list covers open source machine learning platforms 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.
The 25 largest open source machine learning platforms based in the United States
Ranked by team size| # | Company | Contacts | |||
|---|---|---|---|---|---|
| 1 | 4,886 contacts → | ||||
Strong evidence “TELUS Digital AI & Data Solutions partners with a diverse and vibrant community to help our customers enhance their AI and machine learning models.” Source: RevenueBase Database · checked Sep 5, 2026Thanks. The Data Team will review it. | |||||
| 2 | 766 contacts → | ||||
Indirect evidence “Anyscale enables Python developers to build and run all their AI-from data prep to training and inference-at any scale.” Source: RevenueBase Database · checked Sep 5, 2026Thanks. The Data Team will review it. | |||||
| 3 | 525 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, 2026Thanks. The Data Team will review it. | |||||
| 4 | 405 contacts → | ||||
Indirect evidence “Founded in 2012, H2O.ai is on a mission to democratize AI.” Source: RevenueBase Database · checked Sep 5, 2026Thanks. The Data Team will review it. | |||||
| 5 | 396 contacts → | ||||
Strong evidence “The open-source data science company for the individual, team and enterprise.” Source: RevenueBase Database · checked Sep 5, 2026Thanks. The Data Team will review it. | |||||
| 6 | 183 contacts → | ||||
Partial evidence “The next-generation AI developer platform unifying the development and deployment of AI for the world.” Source: RevenueBase Database · checked Sep 5, 2026Thanks. The Data Team will review it. | |||||
| 7 | 173 contacts → | ||||
Strong evidence “TELUS International AI Data Solutions partners with a diverse and vibrant community to help our customers enhance their AI and machine learning models.” Source: RevenueBase Database · checked Sep 5, 2026Thanks. The Data Team will review it. | |||||
| 8 | 166 contacts → | ||||
Partial evidence “Fireworks is the fastest way to build, tune, and scale AI on open models.” Source: RevenueBase Database · checked Sep 5, 2026Thanks. The Data Team will review it. | |||||
| 9 | 140 contacts → | ||||
Partial evidence “The AI development platform - From idea to AI, Lightning fast.” Source: RevenueBase Database · checked Sep 5, 2026Thanks. The Data Team will review it. | |||||
| 10 | 84 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, 2026Thanks. The Data Team will review it. | |||||
| 11 | 78 contacts → | ||||
Indirect evidence “HumanSignal enables data science teams to build AI models with their company DNA.” Source: RevenueBase Database · checked Sep 5, 2026Thanks. The Data Team will review it. | |||||
| 12 | 67 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, 2026Thanks. The Data Team will review it. | |||||
| 13 | 66 contacts → | ||||
Partial evidence “One platform to build, test, and train anything (still in ~stealth, more to come soon)” Source: RevenueBase Database · checked Sep 5, 2026Thanks. The Data Team will review it. | |||||
| 14 | 64 contacts → | ||||
Indirect evidence “Unify data, models, and compute with the fastest path to a production-ready AI system.” Source: RevenueBase Database · checked Sep 5, 2026Thanks. The Data Team will review it. | |||||
| 15 | 57 contacts → | ||||
Indirect evidence “In 36 months, agentic AI systems will be an operating reality across major institutions.” Source: RevenueBase Database · checked Sep 5, 2026Thanks. The Data Team will review it. | |||||
| 16 | 54 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, 2026Thanks. The Data Team will review it. | |||||
| 17 | 31 contacts → | ||||
Indirect evidence “Every company is becoming an AI company.” Source: RevenueBase Database · checked Sep 5, 2026Thanks. The Data Team will review it. | |||||
| 18 | 29 contacts → | ||||
Strong evidence “Essential AI is on a mission to make frontier AI more accessible through an open, collaborative platform.” Source: RevenueBase Database · checked Sep 5, 2026Thanks. The Data Team will review it. | |||||
| 19 | 28 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, 2026Thanks. The Data Team will review it. | |||||
| 20 | 23 contacts → | ||||
Indirect evidence “Building the modern, human-centric ML/AI infrastructure stack.” Source: RevenueBase Database · checked Sep 5, 2026Thanks. The Data Team will review it. | |||||
| 21 | 18 contacts → | ||||
Indirect evidence “DataJoint is the scientific data foundation for accelerated Life Sciences R&D.” Source: RevenueBase Database · checked Sep 5, 2026Thanks. The Data Team will review it. | |||||
| 22 | 17 contacts → | ||||
Partial evidence “Runloop provides the infrastructure platform for developers building the future of software engineering.” Source: RevenueBase Database · checked Sep 5, 2026Thanks. The Data Team will review it. | |||||
| 23 | 17 contacts → | ||||
Indirect evidence “The next generation of analytics is embedded in applications and AI.” Source: RevenueBase Database · checked Sep 5, 2026Thanks. The Data Team will review it. | |||||
| 24 | 16 contacts → | ||||
Indirect evidence “Acquired by Foundry in February 2026.” Source: RevenueBase Database · checked Sep 5, 2026Thanks. The Data Team will review it. | |||||
| 25 | 15 contacts → | ||||
Strong evidence “Streamlit is an open-source Python framework for data scientists and AI/ML engineers to deliver dynamic data apps in only a few lines of code” Source: RevenueBase Database · checked Sep 5, 2026Thanks. The Data Team will review it. | |||||
RevenueBase Smart Search
RevenueBase Smart Search assesses information from a company’s LinkedIn profile, information supplied directly by the company, its website, and other publicly available sources. It uses that information to rate how closely the company relates to this list’s category: open source machine learning platforms. Every row carries its rating and the description the rating was read from, so each one can be checked rather than taken on trust.
- Strong evidence
- The company's own public description of its business names open source machine learning platforms.
- Partial evidence
- Its own public description names part of open source machine learning platforms, so it works in or next to the category without describing itself that way.
- Indirect evidence
- The description shown does not name open source machine learning platforms. The match rests on the rest of the company's public profile rather than the one sentence quoted here, so this is the rating to check first.
RevenueBase Smart Search is how these lists are built: RevenueBase's data engine and AI assemble the companies that match a category defined in a user's own words, so a list can be about what companies actually do rather than about whichever industry code they were filed under.
Showing 25 of 120 open source machine learning platforms based in the United States
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Open source machine learning platforms based in the United States at a glance
As of Sep 5, 2026Companies by employee count
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 open source machine learning platforms, 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 “open source machine learning platforms”. 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 open source machine learning platforms), 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 open source machine learning platforms, 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, 1,946 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.
Open source machine learning platforms by metro
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 open source machine learning platforms, 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 open source machine learning platforms are there based in the United States?
RevenueBase identified 120 open source machine learning platforms 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?
Telus Digital AI Data Solutions, headquartered in Las Vegas, tops this list with the largest team on record.
Which city has the most open source machine learning platforms?
San Francisco leads with 31 headquartered companies, followed by New York (8) and Palo Alto (5).
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 1,946 verified decision-maker contacts tracked across these 120 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.
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