Company lists · Data refreshed September 2026
Top 25 Ml ops platforms worldwide
RevenueBase identified 318 ml ops platforms worldwide as of September 2026 and tracks 5,617 professional contacts across them, including 2,234 with verified work emails. The United States is the largest market and San Francisco the largest hub.
This list covers ml ops platforms 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 ml ops platforms 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 ml ops platforms worldwide
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 28, 2026Thanks. The Data Team will review it. | |||||
| 2 | 608 contacts → | ||||
Indirect evidence “The AI community building the future.” Source: RevenueBase Database · checked Sep 28, 2026Thanks. The Data Team will review it. | |||||
| 3 | 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. | |||||
| 4 | 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. | |||||
| 5 | 207 contacts → | ||||
Indirect 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. | |||||
| 6 | 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. | |||||
| 7 | 133 contacts → | ||||
Partial 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. | |||||
| 8 | 131 contacts → | ||||
Indirect evidence “The connectivity layer for AI.” Source: RevenueBase Database · checked Sep 28, 2026Thanks. The Data Team will review it. | |||||
| 9 | 103 contacts → | ||||
Partial 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. | |||||
| 10 | 98 contacts → | ||||
Indirect evidence “Established in 2019, DareData Engineering is the fastest-growing AI company in Portugal.” Source: RevenueBase Database · checked Sep 28, 2026Thanks. The Data Team will review it. | |||||
| 11 | 74 contacts → | ||||
Indirect evidence “Unleash has been acquired by Zendesk.” Source: RevenueBase Database · checked Sep 28, 2026Thanks. The Data Team will review it. | |||||
| 12 | 71 contacts → | ||||
Strong 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. | |||||
| 13 | 65 contacts → | ||||
Indirect 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. | |||||
| 14 | 56 contacts → | ||||
Partial evidence “Your enterprise lacks an AI advantage by solely relying on generalized ML models.” Source: RevenueBase Database · checked Sep 28, 2026Thanks. The Data Team will review it. | |||||
| 15 | 55 contacts → | ||||
Strong evidence “Accure provides data engineering and AI/ML platforms and professional services to prototype, develop, deploy, scale, and manage AI driven business solutions.” Source: RevenueBase Database · checked Sep 28, 2026Thanks. The Data Team will review it. | |||||
| 16 | 46 contacts → | ||||
Partial evidence “Rubiscape®, From BI to AI to Decisions™ The Decision Intelligence Platform for the AI-First Enterprise In an era of endless data but fragmented choices, legacy dashboards are no…” Source: RevenueBase Database · checked Sep 28, 2026Thanks. The Data Team will review it. | |||||
| 17 | 46 contacts → | ||||
Partial evidence “Datategy is the responsible and sovereign AI platform, covering the entire AI project cycle from data collection to machine learning models.” Source: RevenueBase Database · checked Sep 28, 2026Thanks. The Data Team will review it. | |||||
| 18 | 45 contacts → | ||||
Indirect evidence Source: RevenueBase Database · checked Sep 28, 2026Thanks. The Data Team will review it. | |||||
| 19 | 45 contacts → | ||||
Indirect evidence “Fastest inference for generative AI workloads.” Source: RevenueBase Database · checked Sep 28, 2026Thanks. The Data Team will review it. | |||||
| 20 | 39 contacts → | ||||
Indirect evidence “At Craft AI, we are convinced that the future of artificial intelligence lies in the democratisation of MLOps.” Source: RevenueBase Database · checked Sep 28, 2026Thanks. The Data Team will review it. | |||||
| 21 | 38 contacts → | ||||
Indirect evidence “Con effetto dal 1 febbraio 2026, si è perfezionata l’operazione di fusione per incorporazione della società Analytics Network Srl nella società Data Science Operations Srl.” Source: RevenueBase Database · checked Sep 28, 2026Thanks. The Data Team will review it. | |||||
| 22 | 33 contacts → | ||||
Indirect evidence “WhyLabs enables teams to harness the power of AI with precision and control.” Source: RevenueBase Database · checked Sep 28, 2026Thanks. The Data Team will review it. | |||||
| 23 | 32 contacts → | ||||
Partial evidence “Altair RapidMiner data analytics and AI platform delivers end-to-end solutions from data ingestion and modeling to operationalization and visualization.” Source: RevenueBase Database · checked Sep 28, 2026Thanks. The Data Team will review it. | |||||
| 24 | 31 contacts → | ||||
Indirect evidence “Easy Production AI at Scale: Any Model, Any Hardware, Anywhere.” Source: RevenueBase Database · checked Sep 28, 2026Thanks. The Data Team will review it. | |||||
| 25 | 30 contacts → | ||||
Indirect evidence “AI, AI, MLOps ‘ (datamaker synapse)’ AI AI, AI AI.” 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: ml ops 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 ml ops platforms.
- Partial evidence
- Its own public description names part of ml ops platforms, so it works in or next to the category without describing itself that way.
- Indirect evidence
- The description shown does not name ml ops 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 318 ml ops platforms worldwide
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Ml ops platforms 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 ml ops 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.
- Coverage
- Every country. Country and city lists for ml ops platforms are linked below.
- What qualifies
- Companies worldwide whose own description of what they do matches “ml ops 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 ml ops 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 ml ops platforms, 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, 2,234 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.
Ml ops platforms by location
1 lists · largest firstEvery Ml ops platforms list RevenueBase publishes, by country and city. Counts are matching companies in each list as of its own refresh date.
Countries
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 ml ops 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 ml ops platforms are there worldwide?
RevenueBase identified 318 ml ops platforms 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 ml ops platforms?
The United States leads with 112 companies. Every ml ops platforms list by country and city is linked on this page.
Which city has the most ml ops platforms?
San Francisco leads with 20 headquartered companies, followed by London (16) and New York (12).
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 2,234 verified decision-maker contacts tracked across these 318 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.