Company lists · Data refreshed September 2026

Top 17 Machine learning ops companies based in San Francisco, United States

RevenueBase identified 40 machine learning ops companies headquartered in San Francisco, United States as of September 2026 and tracks 1,635 professional contacts across them, including 277 with verified work emails and 411 with mobile numbers. San Francisco is the largest hub.

This list covers machine learning ops companies headquartered in San Francisco, 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 13, 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.

How to read this list HQ checked on every row RevenueBase Smart Search rating on every row Refreshed Sep 13, 2026 86% judged on-target in blind review
40Companies
1,635Contacts tracked
277Verified emails
411Mobile numbers
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The 17 largest machine learning ops companies based in San Francisco, United States

Ranked by team size
Top 17 of 40 machine learning ops companies based in San Francisco, United States, ranked by team size, largest first. Data refreshed Sep 13, 2026. RevenueBase Smart Search rates how each company's information relates to machine learning ops companies: strong evidence (its own description names it), partial (names part of it), indirect (matched on the rest of its profile rather than the description shown). Click a contact count to view that company's people.
#CompanyRevenueBase Smart SearchHeadquartersEmployeesContacts
1Indirect evidenceSan Francisco, CA, United StatesHQ checked Sep 13, 2026201-500766 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 13, 2026
2Indirect evidenceSan Francisco, CA, United StatesHQ checked Sep 13, 2026201-500357 contacts →

Indirect evidence

“Weights & Biases: the AI developer platform.”

Source: RevenueBase Database · checked Sep 13, 2026
3Indirect evidenceSan Francisco, CA, United StatesHQ checked Sep 13, 2026201-500254 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 13, 2026
4Indirect evidenceSan Francisco, United StatesHQ checked Sep 13, 202611-5045 contacts →

Indirect evidence

“Fastest inference for generative AI workloads.”

Source: RevenueBase Database · checked Sep 13, 2026
5Indirect evidenceSan Francisco, CA, United StatesHQ checked Sep 13, 202611-5026 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 13, 2026
6Indirect evidenceSan Francisco, CA, United StatesHQ checked Sep 13, 202611-5023 contacts →

Indirect evidence

“Building the modern, human-centric ML/AI infrastructure stack.”

Source: RevenueBase Database · checked Sep 13, 2026
7Partial evidenceSan Francisco, CA, United StatesHQ checked Sep 13, 202611-5020 contacts →

Partial evidence

“Datature simplifies the way people build deep-learning capabilities.”

Source: RevenueBase Database · checked Sep 13, 2026
8Indirect evidenceSan Francisco, CA, United StatesHQ checked Sep 13, 202611-5011 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 13, 2026
9Strong evidenceSan Francisco, CA, United StatesHQ checked Sep 13, 20261-109 contacts →

Strong evidence

“Making it easy to run or deploy machine learning models and develop LLM applications.”

Source: RevenueBase Database · checked Sep 13, 2026
10Strong evidenceSan Francisco, CA, United StatesHQ checked Sep 13, 202651-2007 contacts →

Strong evidence

“Eventum.ai is a machine learning consulting agency.”

Source: RevenueBase Database · checked Sep 13, 2026
11Strong evidenceSan Francisco, CA, United StatesHQ checked Sep 13, 20261-104 contacts →

Strong evidence

“True Theta provides the critical code and expertise to design, build, and scale production-grade machine learning systems that directly improve revenue, profit, and efficiency.”

Source: RevenueBase Database · checked Sep 13, 2026
12Strong evidenceSan Francisco, CA, United StatesHQ checked Sep 13, 20261-104 contacts →

Strong evidence

“milk+honey helps companies utilize machine learning to improve operational efficiency and create competitive advantage.”

Source: RevenueBase Database · checked Sep 13, 2026
13Strong evidenceSan Francisco, CA, United StatesHQ checked Sep 13, 202611-503 contacts →

Strong evidence

“Modelbit makes it easy for machine learning engineers to deploy any ML model to on-demand infrastructure with one git push command.”

Source: RevenueBase Database · checked Sep 13, 2026
14Indirect evidenceSan Francisco, CA, United StatesHQ checked Sep 13, 20261-102 contacts →

Indirect evidence

“We enable AI at scale.”

Source: RevenueBase Database · checked Sep 13, 2026
15Indirect evidenceSan Francisco, CA, United StatesHQ checked Sep 13, 20261-102 contacts →

Indirect evidence

“InferScope is an MLOps and GenAIOps platform built for ML engineers and data scientists who need to deeply understand, compare, and improve their models.”

Source: RevenueBase Database · checked Sep 13, 2026
16Partial evidenceSan Francisco, United StatesHQ checked Sep 13, 20261-101 contacts →

Partial evidence

“BlinkPeak is your go-to partner for cutting-edge deep learning solutions and consulting services tailored for small businesses!”

Source: RevenueBase Database · checked Sep 13, 2026
17Strong evidenceSan Francisco, CA, United StatesHQ checked Sep 13, 20261-101 contacts →

Strong evidence

“Elemeno's end-to-end Machine Learning Operations (MLOps) Platform standardizes MLOps workflows across every internal team so your data scientists can focus on what they do best.”

Source: RevenueBase Database · checked Sep 13, 2026

Showing 17 of 40 machine learning ops companies based in San Francisco, United States

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Machine learning ops companies based in San Francisco, United States at a glance

As of Sep 13, 2026
16.9%Verified-email coverage
25.1%Mobile-number coverage
40.9Average contacts per company
11-50Median size (employees)
100.0%Largest-city concentration · San Francisco
Sep 13, 2026Page data refreshed

Companies by employee count

1-10
19
11-50
16
51-200
2
201-500
3

Freshness & accuracy

How recently the business emails were verified and the company information checked

Email last verified

Median 17.0d

Company record updated

Median 69.0d

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 San Francisco, 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 San Francisco 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, 277 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 13, 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 in the United States

  • Machine learning ops companies in San Francisco40

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 San Francisco, United States?

RevenueBase identified 40 machine learning ops companies headquartered in San Francisco, 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?

Anyscale, headquartered in San Francisco, 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 277 verified decision-maker contacts tracked across these 40 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 13, 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.