Company lists · Data refreshed September 2026
Top 25 Machine learning ops startups based in the United States
RevenueBase identified 141 machine learning ops startups headquartered in the United States as of September 2026 and tracks 5,260 professional contacts across them, including 1,948 with verified work emails. San Francisco is the largest hub.
This list covers machine learning ops startups 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 28, 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 startups 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 28, 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 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 | 357 contacts → | ||||
Indirect evidence “Weights & Biases: the AI developer platform.” Source: RevenueBase Database · checked Sep 28, 2026Thanks. The Data Team will review it. | |||||
| 5 | 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. | |||||
| 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 | 131 contacts → | ||||
Indirect evidence “The connectivity layer for AI.” Source: RevenueBase Database · checked Sep 28, 2026Thanks. The Data Team will review it. | |||||
| 8 | 108 contacts → | ||||
Indirect evidence “Information & Technology Management: Pioneering Innovation Since 1989, Leading in MLOps Today!” Source: RevenueBase Database · checked Sep 28, 2026Thanks. The Data Team will review it. | |||||
| 9 | 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. | |||||
| 10 | 57 contacts → | ||||
Indirect evidence “In 36 months, agentic AI systems will be an operating reality across major institutions.” Source: RevenueBase Database · checked Sep 28, 2026Thanks. The Data Team will review it. | |||||
| 11 | 55 contacts → | ||||
Indirect 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. | |||||
| 12 | 54 contacts → | ||||
Indirect evidence “Prove AI provides the foundation for predictable and reliable production AI models and agents.” Source: RevenueBase Database · checked Sep 28, 2026Thanks. The Data Team will review it. | |||||
| 13 | 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. | |||||
| 14 | 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. | |||||
| 15 | 26 contacts → | ||||
Indirect evidence “Valohai is the MLOps platform purpose-built for ML Pioneers, giving them everything they've been missing, in one platform that just makes sense.” Source: RevenueBase Database · checked Sep 28, 2026Thanks. The Data Team will review it. | |||||
| 16 | 23 contacts → | ||||
Indirect evidence “Building the modern, human-centric ML/AI infrastructure stack.” Source: RevenueBase Database · checked Sep 28, 2026Thanks. The Data Team will review it. | |||||
| 17 | 21 contacts → | ||||
Strong evidence “We execute the whole, or any part of the machine learning development pipeline from exploration to deployed solution.” Source: RevenueBase Database · checked Sep 28, 2026Thanks. The Data Team will review it. | |||||
| 18 | 20 contacts → | ||||
Partial evidence “Datature simplifies the way people build deep-learning capabilities.” Source: RevenueBase Database · checked Sep 28, 2026Thanks. The Data Team will review it. | |||||
| 19 | 15 contacts → | ||||
Strong evidence “SmartUQ is a Machine Learning and AI tool optimized for engineering applications from ideation and design to manufacturing and sustainment.” Source: RevenueBase Database · checked Sep 28, 2026Thanks. The Data Team will review it. | |||||
| 20 | 14 contacts → | ||||
Indirect evidence “About Us Gentoro was founded by a team with deep experience in enterprise infrastructure and AI, with leadership roots at companies including Splunk, WebLogic, and Asurion.” Source: RevenueBase Database · checked Sep 28, 2026Thanks. The Data Team will review it. | |||||
| 21 | 14 contacts → | ||||
Indirect evidence “Jozu is an MLOps toolchain that is focused on packaging and deploying AI/ML models more securely, consistently, and quickly.” Source: RevenueBase Database · checked Sep 28, 2026Thanks. The Data Team will review it. | |||||
| 22 | 13 contacts → | ||||
Strong evidence “Deep Analytics LLC is a machine learning and sensor development startup in Montpelier, Vermont.” Source: RevenueBase Database · checked Sep 28, 2026Thanks. The Data Team will review it. | |||||
| 23 | 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 28, 2026Thanks. The Data Team will review it. | |||||
| 24 | 11 contacts → | ||||
Indirect evidence “Datatron is a FLEXIBLE MLOps platform that helps businesses deploy, catalog, manage, monitor, & govern ML models in production (on-prem, in any cloud, or integrated…” Source: RevenueBase Database · checked Sep 28, 2026Thanks. The Data Team will review it. | |||||
| 25 | 10 contacts → | ||||
Strong evidence “Autumn8 provides a Deployment and Inference Toolkit for Machine Learning and Foundational Models.” 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 ops 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 ops startups.
- Partial evidence
- Its own public description names part of machine learning ops 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 ops 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 141 machine learning ops startups based in the United States
See the full list, filter by size, metro and specialty, and get verified emails and direct dials for all 1,948 reachable decision-makers.
Free signup · no credit card
Machine learning ops startups based in the United States at a glance
As of Sep 28, 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 141 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 machine learning ops 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.
- What qualifies
- Companies headquartered in the United States whose own description of what they do matches “machine learning ops 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 ops 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 ops startups, 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, 1,948 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 ops startups 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 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 ops startups are there based in the United States?
RevenueBase identified 141 machine learning ops startups 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 startups?
San Francisco leads with 27 headquartered companies, followed by New York (15) 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 1,948 verified decision-maker contacts tracked across these 141 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.
Ready to reach these companies? Verified emails and direct dials for all 141 machine learning ops startups based in the United States. Start with a free account, no credit card.
Download this list →Related lists
Machine learning ops startups by geography
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.
More company lists
- All company lists
- Lists by location
- Lists A-Z
- New lists
- Machine learning ops startups based in San Francisco, United States
- Machine learning ops startups based in India
- AI companies based in the United States
- Cybersecurity companies based in the United States
- Manufacturing companies based in the United States
- Media companies based in the United States