Company lists · Data refreshed September 2026
Top 25 Machine learning infrastructure companies based in the United States
RevenueBase identified 1,093 machine learning infrastructure companies headquartered in the United States as of September 2026 and tracks 226,582 professional contacts across them, including 85,565 with verified work emails and 54,547 with mobile numbers. San Francisco is the largest hub.
This list covers machine learning infrastructure 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, how directly it supports the match, 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 SmartSearch, 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 infrastructure companies based in the United States
Ranked by team size| # | Company | Contacts | |||
|---|---|---|---|---|---|
| 1 | 143,390 | ||||
“Oracle is a global leader in AI, delivering the cloud infrastructure, data, and applications that organizations across the world trust to successfully achieve business outcomes at…” Source: company website · checked Sep 5, 2026Thanks. The Data Team will review it. | |||||
| 2 | 16,096 | ||||
“For more than 55 years, WD has built the storage infrastructure that powers the world’s data.” Source: company website · checked Sep 5, 2026Thanks. The Data Team will review it. | |||||
| 3 | 12,830 | ||||
“Databricks is the Data and AI company.” Source: company website · checked Sep 5, 2026Thanks. The Data Team will review it. | |||||
| 4 | 7,069 | ||||
“Rackspace Technology® is the operator of the full enterprise AI stack from governed private cloud to AI inference and agents in production.” Source: company website · checked Sep 5, 2026Thanks. The Data Team will review it. | |||||
| 5 | 4,941 | ||||
“Invisible Technologies makes AI work.” Source: company website · checked Sep 5, 2026Thanks. The Data Team will review it. | |||||
| 6 | 4,886 | ||||
“TELUS Digital AI & Data Solutions partners with a diverse and vibrant community to help our customers enhance their AI and machine learning models.” Source: company website · checked Sep 5, 2026Thanks. The Data Team will review it. | |||||
| 7 | 2,323 | ||||
“MAQ Software enables leading companies to accelerate AI and data initiatives.” Source: company website · checked Sep 5, 2026Thanks. The Data Team will review it. | |||||
| 8 | 2,045 | ||||
“DigitalOcean is the AI-Native Cloud purpose-built for the inference and agentic era.” Source: company website · checked Sep 5, 2026Thanks. The Data Team will review it. | |||||
| 9 | 1,865 | ||||
“CoreWeave is the Essential Cloud for AI.” Source: company website · checked Sep 5, 2026Thanks. The Data Team will review it. | |||||
| 10 | 1,831 | ||||
“TheMathCompany or MathCo® is a global Enterprise AI and Analytics company, trusted for data-driven decision making by some of the largest organizations across industries.” Source: company website · checked Sep 5, 2026Thanks. The Data Team will review it. | |||||
| 11 | 1,510 | ||||
“Dataiku is the Platform for AI Success, the enterprise orchestration layer for building, deploying, and governing AI.” Source: company website · checked Sep 5, 2026Thanks. The Data Team will review it. | |||||
| 12 | 977 | ||||
“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: company website · checked Sep 5, 2026Thanks. The Data Team will review it. | |||||
| 13 | 967 | ||||
“Snorkel AI is the frontier AI data lab, helping teams build the data and environments behind high-performing frontier and agentic AI.” Source: company website · checked Sep 5, 2026Thanks. The Data Team will review it. | |||||
| 14 | 940 | ||||
“As the AI factory company, Crusoe is on a mission to accelerate the abundance of energy and intelligence.” Source: company website · checked Sep 5, 2026Thanks. The Data Team will review it. | |||||
| 15 | 903 | ||||
“Uniphore is the Business AI Company powering the agentic enterprise.” Source: company website · checked Sep 5, 2026Thanks. The Data Team will review it. | |||||
| 16 | 766 | ||||
“Anyscale enables Python developers to build and run all their AI-from data prep to training and inference-at any scale.” Source: company website · checked Sep 5, 2026Thanks. The Data Team will review it. | |||||
| 17 | 742 | ||||
“phData is the leading AI and data services company.” Source: company website · checked Sep 5, 2026Thanks. The Data Team will review it. | |||||
| 18 | MirantisPartial evidence | 606 | |||
“Mirantis delivers the fastest path to enterprise AI at scale, with full-stack AI infrastructure technology that removes GPU infrastructure complexity and streamlines operations…” Source: company website · checked Sep 5, 2026Thanks. The Data Team will review it. | |||||
| 19 | 544 | ||||
“The Superintelligence Cloud” Source: company website · checked Sep 5, 2026Thanks. The Data Team will review it. | |||||
| 20 | 525 | ||||
“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: company website · checked Sep 5, 2026Thanks. The Data Team will review it. | |||||
| 21 | 459 | ||||
“Affine is a leading global AI and analytics company that has earned the trust of major organizations across industries for transforming businesses through data-driven insights and…” Source: company website · checked Sep 5, 2026Thanks. The Data Team will review it. | |||||
| 22 | 456 | ||||
“Inference is the engine that powers AI, and Groq was built from the silicon up to deliver the world's fastest inference at scale.” Source: company website · checked Sep 5, 2026Thanks. The Data Team will review it. | |||||
| 23 | 454 | ||||
“WEKA is the AI data and memory infrastructure company behind NeuralMesh™, purpose-built to eliminate GPU bottlenecks and accelerate AI workloads at scale.” Source: company website · checked Sep 5, 2026Thanks. The Data Team will review it. | |||||
| 24 | 441 | ||||
“Labelbox builds and operates reinforcement learning data factories for the world’s leading AI labs and enterprises, powering the next generation of frontier models and AI…” Source: company website · checked Sep 5, 2026Thanks. The Data Team will review it. | |||||
| 25 | 408 | ||||
“Welcome to SambaNova: Revolutionizing AI Capacity At SambaNova, we're empowering developers, enterprises, governments, and data centers to unlock their full AI potential.” Source: company website · checked Sep 5, 2026Thanks. The Data Team will review it. | |||||
Showing 25 of 1,093 machine learning infrastructure companies based in the United States
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Machine learning infrastructure companies based in the United States at a glance
As of Sep 5, 2026Companies by employee count
Verified emails by last verification
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 infrastructure companies, so some rows will be adjacent to the category rather than pure plays. The description and evidence 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 SmartSearch, 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 infrastructure companies”. Matching reads each company's description, not its industry code or its name.
- What we exclude
- Companies whose own description does not clearly place them among machine learning infrastructure 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 an evidence 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, 85,565 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 infrastructure companies by metro
- Machine learning infrastructure companies in San Francisco142
- Machine learning infrastructure companies in New York79
- Machine learning infrastructure companies in Austin34
- Machine learning infrastructure companies in Palo Alto27
- Machine learning infrastructure companies in Los Angeles25
Frequently asked
How many machine learning infrastructure companies are there based in the United States?
RevenueBase identified 1,093 machine learning infrastructure 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?
Oracle, headquartered in Austin, tops this list with the largest team on record.
Which city has the most machine learning infrastructure companies?
San Francisco leads with 142 headquartered companies, followed by New York (79) and Austin (34).
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 85,565 verified decision-maker contacts tracked across these 1,093 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 SmartSearch, 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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