Company lists · Data refreshed September 2026
Top 25 Machine learning ops companies based in the United States
RevenueBase identified 284 machine learning ops companies headquartered in the United States as of September 2026 and tracks 7,153 professional contacts across them, including 2,417 with verified work emails and 1,549 with mobile numbers. San Francisco is the largest hub.
This list covers machine learning ops companies 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 machine learning ops companies based in the United States
Ranked by team size| # | Company | Contacts | |||
|---|---|---|---|---|---|
| 1 | 1,510 contacts → | ||||
Indirect evidence “Dataiku is the Platform for AI Success, the enterprise orchestration layer for building, deploying, and governing AI.” Source: RevenueBase Database · checked Sep 5, 2026Thanks. The Data Team will review it. | |||||
| 2 | 977 contacts → | ||||
Indirect evidence “provides ML data operations support with Human-in-the-loop for LLMs and autonomous systems, focusing on AI/ML model training and annotation services.” Source: RevenueBase Database · checked Sep 5, 2026Thanks. The Data Team will review it. | |||||
| 3 | 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. | |||||
| 4 | 357 contacts → | ||||
Indirect evidence “Weights & Biases: the AI developer platform.” Source: RevenueBase Database · checked Sep 5, 2026Thanks. The Data Team will review it. | |||||
| 5 | 314 contacts → | ||||
Indirect evidence “Absolutdata- an Infogain company, our products and services deliver scalable business impact across the enterprise by combining cutting edge AI and ML with its heritage in…” Source: RevenueBase Database · checked Sep 5, 2026Thanks. The Data Team will review it. | |||||
| 6 | 287 contacts → | ||||
Indirect evidence “Ganit is a full stack data company founded in 2017 with a mission to decipher the transformative power of artificial intelligence for businesses.” Source: RevenueBase Database · checked Sep 5, 2026Thanks. The Data Team will review it. | |||||
| 7 | 254 contacts → | ||||
Indirect evidence “Domino Data Lab partners with the world's most regulated enterprises as they build, scale, and govern AI-powered applications.” Source: RevenueBase Database · checked Sep 5, 2026Thanks. The Data Team will review it. | |||||
| 8 | 166 contacts → | ||||
Indirect 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 | 161 contacts → | ||||
Strong evidence “With three decades at the forefront of applied AI and machine learning, Elder Research, a MANTECH company, gives large organizations and government agencies a surefire way to…” Source: RevenueBase Database · checked Sep 5, 2026Thanks. The Data Team will review it. | |||||
| 10 | 131 contacts → | ||||
Indirect evidence “The connectivity layer for AI.” Source: RevenueBase Database · checked Sep 5, 2026Thanks. The Data Team will review it. | |||||
| 11 | 108 contacts → | ||||
Indirect evidence “Information & Technology Management: Pioneering Innovation Since 1989, Leading in MLOps Today!” Source: RevenueBase Database · checked Sep 5, 2026Thanks. The Data Team will review it. | |||||
| 12 | 97 contacts → | ||||
Indirect evidence “Rezilyens is guided by four principles: customer obsession rather than competitor focus, passion for innovation, commitment to excellence, and long-term thinking.” Source: RevenueBase Database · checked Sep 5, 2026Thanks. The Data Team will review it. | |||||
| 13 | 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. | |||||
| 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 | 63 contacts → | ||||
Indirect evidence “Optimizing Enterprises with AI Services, Solutions, & Products: ThirdEye Data is a Silicon Valley–based AI & Data solutions company, trusted by enterprises worldwide to build…” Source: RevenueBase Database · checked Sep 5, 2026Thanks. The Data Team will review it. | |||||
| 16 | 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. | |||||
| 17 | 54 contacts → | ||||
Indirect evidence “Prove AI provides the foundation for predictable and reliable production AI models and agents.” Source: RevenueBase Database · checked Sep 5, 2026Thanks. The Data Team will review it. | |||||
| 18 | 45 contacts → | ||||
Indirect evidence Source: RevenueBase Database · checked Sep 5, 2026Thanks. The Data Team will review it. | |||||
| 19 | 45 contacts → | ||||
Indirect evidence “Fastest inference for generative AI workloads.” Source: RevenueBase Database · checked Sep 5, 2026Thanks. The Data Team will review it. | |||||
| 20 | 43 contacts → | ||||
Indirect evidence “Faraday provides infrastructure for predicting customer behavior, including rich data and streamlined AI.” Source: RevenueBase Database · checked Sep 5, 2026Thanks. The Data Team will review it. | |||||
| 21 | 41 contacts → | ||||
Strong evidence “Opanga Networks is the global leader in the development and deployment of machine learning-powered software solutions for the telecommunications industry.” Source: RevenueBase Database · checked Sep 5, 2026Thanks. The Data Team will review it. | |||||
| 22 | 35 contacts → | ||||
Indirect evidence “Texagon provides services in Software as a Service(SAAS), AI/ML, LLMs, Web & Mobile Applications and AI Automated Systems helping businesses grow their ROI, getting rid of manual…” Source: RevenueBase Database · checked Sep 5, 2026Thanks. The Data Team will review it. | |||||
| 23 | 35 contacts → | ||||
Strong evidence “CoVar is a leader in machine learning and artificial intelligence solutions.” Source: RevenueBase Database · checked Sep 5, 2026Thanks. The Data Team will review it. | |||||
| 24 | 34 contacts → | ||||
Strong evidence “Christian & Timbers is a leading executive search firm focusing on AI transformation leadership, linking companies to top AI and Machine Learning executives.” Source: RevenueBase Database · checked Sep 5, 2026Thanks. The Data Team will review it. | |||||
| 25 | 33 contacts → | ||||
Indirect evidence “WhyLabs enables teams to harness the power of AI with precision and control.” 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: machine learning ops companies. 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 machine learning ops companies.
- Partial evidence
- Its own public description names part of machine learning ops companies, so it works in or next to the category without describing itself that way.
- Indirect evidence
- The description shown does not name machine learning ops companies. 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 284 machine learning ops companies based in the United States
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Machine learning ops companies 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 machine learning ops companies, 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 ops companies”. 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 ops companies), 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 ops companies, 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, 2,417 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.
Machine learning ops companies 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 machine learning ops companies, 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 ops companies are there based in the United States?
RevenueBase identified 284 machine learning ops companies 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 machine learning ops companies?
San Francisco leads with 40 headquartered companies, followed by New York (22) and Palo Alto (11).
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 2,417 verified decision-maker contacts tracked across these 284 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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