Company lists · Data refreshed September 2026
Top 25 On-premise machine learning platforms based in the United States
RevenueBase identified 107 on-premise machine learning platforms headquartered in the United States as of September 2026 and tracks 3,567 professional contacts across them, including 2,149 with verified work emails. New York is the largest hub.
This list covers on-premise 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 29, 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 on-premise machine learning platforms based in the United States
Ranked by team size| # | Company | Contacts | |||
|---|---|---|---|---|---|
| 1 | 1,510 contacts → | ||||
Partial evidence “Dataiku is the Platform for AI Success, the enterprise orchestration layer for building, deploying, and governing AI.” Source: RevenueBase Database · checked Sep 29, 2026Thanks. The Data Team will review it. | |||||
| 2 | 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 29, 2026Thanks. The Data Team will review it. | |||||
| 3 | 166 contacts → | ||||
Partial evidence “Fireworks is the fastest way to build, tune, and scale AI on open models.” Source: RevenueBase Database · checked Sep 29, 2026Thanks. The Data Team will review it. | |||||
| 4 | 140 contacts → | ||||
Partial evidence “The AI development platform - From idea to AI, Lightning fast.” Source: RevenueBase Database · checked Sep 29, 2026Thanks. The Data Team will review it. | |||||
| 5 | 131 contacts → | ||||
Partial evidence “webAI helps enterprises build, deploy, and operate custom AI on infrastructure they own, not in someone else’s cloud.” Source: RevenueBase Database · checked Sep 29, 2026Thanks. The Data Team will review it. | |||||
| 6 | 131 contacts → | ||||
Indirect evidence “The connectivity layer for AI.” Source: RevenueBase Database · checked Sep 29, 2026Thanks. The Data Team will review it. | |||||
| 7 | 103 contacts → | ||||
Strong evidence “Clarifai is an independent artificial intelligence company providing a full-stack AI platform designed to help teams create, manage, and deploy AI workloads on any compute.” Source: RevenueBase Database · checked Sep 29, 2026Thanks. The Data Team will review it. | |||||
| 8 | 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 29, 2026Thanks. The Data Team will review it. | |||||
| 9 | 78 contacts → | ||||
Indirect evidence “HumanSignal enables data science teams to build AI models with their company DNA.” Source: RevenueBase Database · checked Sep 29, 2026Thanks. The Data Team will review it. | |||||
| 10 | 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 29, 2026Thanks. The Data Team will review it. | |||||
| 11 | 57 contacts → | ||||
Indirect evidence “In 36 months, agentic AI systems will be an operating reality across major institutions.” Source: RevenueBase Database · checked Sep 29, 2026Thanks. The Data Team will review it. | |||||
| 12 | 45 contacts → | ||||
Strong evidence “The DeepEdge platform is an integrated deep learning development platform that enables developers and enterprises to build, train, optimize and deploy deep learning models and…” Source: RevenueBase Database · checked Sep 29, 2026Thanks. The Data Team will review it. | |||||
| 13 | 38 contacts → | ||||
Partial evidence “Sparkflows provides Self-Serve Data Science Platform for AI+Gen AI Our Vision: Become the best integrated self-service platform for citizen data analysts and scientist to derive…” Source: RevenueBase Database · checked Sep 29, 2026Thanks. The Data Team will review it. | |||||
| 14 | 23 contacts → | ||||
Indirect evidence “Building the modern, human-centric ML/AI infrastructure stack.” Source: RevenueBase Database · checked Sep 29, 2026Thanks. The Data Team will review it. | |||||
| 15 | 23 contacts → | ||||
Strong evidence “Wiro was founded in 2023 for providing the growing demand for AI and machine learning technologies across various sectors.” Source: RevenueBase Database · checked Sep 29, 2026Thanks. The Data Team will review it. | |||||
| 16 | 19 contacts → | ||||
Indirect evidence “ID Privacy is at the forefront of Private custom-model development for enterprises.” Source: RevenueBase Database · checked Sep 29, 2026Thanks. The Data Team will review it. | |||||
| 17 | 13 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 29, 2026Thanks. The Data Team will review it. | |||||
| 18 | 12 contacts → | ||||
Partial evidence “The value companies create relies heavily on what people learn from data.” Source: RevenueBase Database · checked Sep 29, 2026Thanks. The Data Team will review it. | |||||
| 19 | 9 contacts → | ||||
Strong evidence “RocketML is a Super Fast Computational engine for Machine Learning.” Source: RevenueBase Database · checked Sep 29, 2026Thanks. The Data Team will review it. | |||||
| 20 | 9 contacts → | ||||
Strong evidence “OpenAIMP is the leader in AI and automatic machine learning.” Source: RevenueBase Database · checked Sep 29, 2026Thanks. The Data Team will review it. | |||||
| 21 | 8 contacts → | ||||
Strong evidence “Sunthetics offers an easy-to-use machine-learning platform that enables up to 32x faster development of new medicine, materials, chemical processes and formulations.” Source: RevenueBase Database · checked Sep 29, 2026Thanks. The Data Team will review it. | |||||
| 22 | 8 contacts → | ||||
Partial evidence “RapidFire AI speeds up deep learning at scale by 5x or more and enables data scientists to train and control multiple model configurations simultaneously for any data or model…” Source: RevenueBase Database · checked Sep 29, 2026Thanks. The Data Team will review it. | |||||
| 23 | 7 contacts → | ||||
Indirect evidence “Lightning Rod Labs helps enterprises make better decisions by turning raw operational data into compact domain experts that can be deployed in your own environment.” Source: RevenueBase Database · checked Sep 29, 2026Thanks. The Data Team will review it. | |||||
| 24 | 7 contacts → | ||||
Strong evidence “ResCon Technologies employs Machine Learning to create digital twins of complex dynamical systems.” Source: RevenueBase Database · checked Sep 29, 2026Thanks. The Data Team will review it. | |||||
| 25 | 6 contacts → | ||||
Strong evidence “Since day 1 Data Blitz has delivered highly available highly scalable machine learning solutions.” Source: RevenueBase Database · checked Sep 29, 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: on-premise 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 on-premise machine learning platforms.
- Partial evidence
- Its own public description names part of on-premise 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 on-premise 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 107 on-premise machine learning platforms based in the United States
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On-premise machine learning platforms based in the United States at a glance
As of Sep 29, 2026Companies by employee count
Email recency for this list is measured worldwide rather than for United States, so it is reported there. Company counts and contact totals on this page are exact for United States, over 107 companies.
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 on-premise 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 “on-premise 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 on-premise 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 on-premise 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, 2,149 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 29, 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 on-premise 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 on-premise machine learning platforms are there based in the United States?
RevenueBase identified 107 on-premise 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?
Dataiku, headquartered in New York, tops this list with the largest team on record.
Which city has the most on-premise machine learning platforms?
New York leads with 11 headquartered companies, followed by San Francisco (9) and Palo Alto (8).
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 2,149 verified decision-maker contacts tracked across these 107 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 29, 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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