Company lists · Data refreshed September 2026
Top 25 Machine learning operations startups worldwide
RevenueBase identified 685 machine learning operations startups worldwide as of September 2026 and tracks 10,899 professional contacts across them, including 3,775 with verified work emails. The United States is the largest market and San Francisco the largest hub.
This list covers machine learning operations startups worldwide, 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 28, 2026. Country and city lists for machine learning operations startups follow the table.
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 operations startups worldwide
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 28, 2026Thanks. The Data Team will review it. | |||||
| 2 | 977 contacts → | ||||
Partial 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 28, 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 28, 2026Thanks. The Data Team will review it. | |||||
| 4 | 608 contacts → | ||||
Indirect evidence “The AI community building the future.” Source: RevenueBase Database · checked Sep 28, 2026Thanks. The Data Team will review it. | |||||
| 5 | 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 28, 2026Thanks. The Data Team will review it. | |||||
| 6 | 357 contacts → | ||||
Indirect evidence “Weights & Biases: the AI developer platform.” Source: RevenueBase Database · checked Sep 28, 2026Thanks. The Data Team will review it. | |||||
| 7 | 261 contacts → | ||||
Indirect evidence “Straker is an AI technology company transforming enterprise data into intelligent systems.” Source: RevenueBase Database · checked Sep 28, 2026Thanks. The Data Team will review it. | |||||
| 8 | 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 28, 2026Thanks. The Data Team will review it. | |||||
| 9 | 207 contacts → | ||||
Strong evidence “We provide accurate and reliable machine learning products and solutions (on-premises) for the Government and Private sector players.” Source: RevenueBase Database · checked Sep 28, 2026Thanks. The Data Team will review it. | |||||
| 10 | 166 contacts → | ||||
Indirect evidence “Fireworks is the fastest way to build, tune, and scale AI on open models.” Source: RevenueBase Database · checked Sep 28, 2026Thanks. The Data Team will review it. | |||||
| 11 | 140 contacts → | ||||
Indirect evidence “The AI development platform - From idea to AI, Lightning fast.” Source: RevenueBase Database · checked Sep 28, 2026Thanks. The Data Team will review it. | |||||
| 12 | 133 contacts → | ||||
Strong evidence “BDB.ai is a Gartner 30 ranked Unified Data Analytics and Machine Learning platform, developed by the former R&D team of BusinessObjects, Paris.” Source: RevenueBase Database · checked Sep 28, 2026Thanks. The Data Team will review it. | |||||
| 13 | 131 contacts → | ||||
Indirect 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 28, 2026Thanks. The Data Team will review it. | |||||
| 14 | 131 contacts → | ||||
Indirect evidence “The connectivity layer for AI.” Source: RevenueBase Database · checked Sep 28, 2026Thanks. The Data Team will review it. | |||||
| 15 | 127 contacts → | ||||
Indirect evidence “bld.ai helps enterprises build, deploy, and scale AI solutions that create measurable business impact.” Source: RevenueBase Database · checked Sep 28, 2026Thanks. The Data Team will review it. | |||||
| 16 | 111 contacts → | ||||
Indirect evidence “ABEJA ABEJAAIABEJA Platform ABEJA PlatformAIAI ABEJA2012ABEJA Platform” Source: RevenueBase Database · checked Sep 28, 2026Thanks. The Data Team will review it. | |||||
| 17 | 110 contacts → | ||||
Indirect evidence “Tribe AI is the AI delivery layer for the enterprise.” Source: RevenueBase Database · checked Sep 28, 2026Thanks. The Data Team will review it. | |||||
| 18 | 103 contacts → | ||||
Indirect 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 28, 2026Thanks. The Data Team will review it. | |||||
| 19 | 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 28, 2026Thanks. The Data Team will review it. | |||||
| 20 | 78 contacts → | ||||
Indirect evidence “HumanSignal enables data science teams to build AI models with their company DNA.” Source: RevenueBase Database · checked Sep 28, 2026Thanks. The Data Team will review it. | |||||
| 21 | 71 contacts → | ||||
Indirect evidence “Iguazio (acquired by McKinsey) provides an AI platform which enables enterprises to develop, deploy and manage ML and GenAI applications in live business environments.” Source: RevenueBase Database · checked Sep 28, 2026Thanks. The Data Team will review it. | |||||
| 22 | 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 28, 2026Thanks. The Data Team will review it. | |||||
| 23 | 65 contacts → | ||||
Strong evidence “Since 2014, Seldon has been at the forefront of developing global infrastructure that enables enterprises to take control of complexity in machine learning.” Source: RevenueBase Database · checked Sep 28, 2026Thanks. The Data Team will review it. | |||||
| 24 | 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 28, 2026Thanks. The Data Team will review it. | |||||
| 25 | 62 contacts → | ||||
Partial evidence “We bring impactful ML solutions to our clients to help them leverage their business potential through a comprehensive AI strategy, tailored AI solutions and reliable AI operations…” Source: RevenueBase Database · checked Sep 28, 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 operations startups. 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 operations startups.
- Partial evidence
- Its own public description names part of machine learning operations startups, so it works in or next to the category without describing itself that way.
- Indirect evidence
- The description shown does not name machine learning operations startups. 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 685 machine learning operations startups worldwide
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Machine learning operations startups worldwide at a glance
As of Sep 28, 2026Companies by employee count
Email recency is reported on each country list linked below.
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 operations startups, 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.
- Coverage
- Every country. Country and city lists for machine learning operations startups are linked below.
- What qualifies
- Companies worldwide whose own description of what they do matches “machine learning operations startups”. 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 operations startups), 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 operations startups, and records with no verified work email.
- 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, 3,775 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 28, 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 operations startups by location
4 lists · largest firstEvery Machine learning operations startups list RevenueBase publishes, by country and city. Counts are matching companies in each list as of its own refresh date.
Countries
- Machine learning operations startups based in the United States216
- Machine learning operations startups based in India67
- Machine learning operations startups based in the United Kingdom30
Cities
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 operations startups, 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 operations startups are there worldwide?
RevenueBase identified 685 machine learning operations startups worldwide 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 country has the most machine learning operations startups?
The United States leads with 216 companies, followed by India (67) and the United Kingdom (30). Every machine learning operations startups list by country and city is linked on this page.
Which city has the most machine learning operations startups?
San Francisco leads with 34 headquartered companies, followed by New York (21) and London (20).
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 3,775 verified decision-maker contacts tracked across these 685 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 28, 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.