Company lists · Data refreshed September 2026
Top 18 Machine learning infrastructure firms based in San Jose, United States
RevenueBase identified 35 machine learning infrastructure firms headquartered in San Jose, United States as of September 2026 and tracks 17,861 professional contacts across them, including 3,170 with verified work emails. Across the United States, San Francisco is the largest hub for this category (155 companies); San Jose has 35.
This list covers machine learning infrastructure firms headquartered in San Jose, 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 18 largest machine learning infrastructure firms based in San Jose, United States
Ranked by team size| # | Company | Contacts | |||
|---|---|---|---|---|---|
| 1 | 16,096 contacts → | ||||
Partial evidence “For more than 55 years, WD has built the storage infrastructure that powers the world’s data.” Source: RevenueBase Database · checked Sep 28, 2026Thanks. The Data Team will review it. | |||||
| 2 | 408 contacts → | ||||
Indirect evidence “Welcome to SambaNova: Revolutionizing AI Capacity At SambaNova, we're empowering developers, enterprises, governments, and data centers to unlock their full AI potential.” Source: RevenueBase Database · checked Sep 28, 2026Thanks. The Data Team will review it. | |||||
| 3 | 262 contacts → | ||||
Indirect evidence “We help organizations bridge the gap between breakthrough AI research and production-grade deployment, integrating advanced models into complex tech stacks, operationalizing them…” Source: RevenueBase Database · checked Sep 28, 2026Thanks. The Data Team will review it. | |||||
| 4 | 208 contacts → | ||||
Strong evidence “Founded in 2017, Deepen AI is the only safety-first data lifecycle tools and services company focused on unlocking the potential of machine learning and AI for autonomous systems.” Source: RevenueBase Database · checked Sep 28, 2026Thanks. The Data Team will review it. | |||||
| 5 | 204 contacts → | ||||
Indirect evidence “Aivres is a data center servers and storage solutions provider committed to delivering innovative technologies that propel the world’s leading industries to new frontiers.” Source: RevenueBase Database · checked Sep 28, 2026Thanks. The Data Team will review it. | |||||
| 6 | 154 contacts → | ||||
Indirect evidence Source: RevenueBase Database · checked Sep 28, 2026Thanks. The Data Team will review it. | |||||
| 7 | 136 contacts → | ||||
Indirect evidence “Sikka.ai was created with the goal of connecting the retail healthcare market, an infamously fragmented industry.” Source: RevenueBase Database · checked Sep 28, 2026Thanks. The Data Team will review it. | |||||
| 8 | 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. | |||||
| 9 | 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. | |||||
| 10 | 33 contacts → | ||||
Indirect evidence “Peaxy offers a modular cloud-based software platform providing predictive analytics for the battery storage, electrification, and defense industries.” Source: RevenueBase Database · checked Sep 28, 2026Thanks. The Data Team will review it. | |||||
| 11 | 27 contacts → | ||||
Indirect evidence “NeoCloud in a Box - Your operating system for GPU-powered AI clouds.” Source: RevenueBase Database · checked Sep 28, 2026Thanks. The Data Team will review it. | |||||
| 12 | 17 contacts → | ||||
Indirect evidence “From custom silicon to intelligent algorithms, we’re breaking through the bottlenecks holding AI back, delivering orders-of-magnitude more performance, anywhere it’s needed.” Source: RevenueBase Database · checked Sep 28, 2026Thanks. The Data Team will review it. | |||||
| 13 | 12 contacts → | ||||
Indirect evidence “Spillbox is a leading provider of GPU-powered, CLI-based cloud solutions, optimized for data-intensive industries including healthcare, media/entertainment, semiconductors, and…” Source: RevenueBase Database · checked Sep 28, 2026Thanks. The Data Team will review it. | |||||
| 14 | 9 contacts → | ||||
Indirect evidence “AI is transforming every industry.” Source: RevenueBase Database · checked Sep 28, 2026Thanks. The Data Team will review it. | |||||
| 15 | 9 contacts → | ||||
Strong evidence “DxChain (DX) is a big data and machine learning network powered by a computing-centric blockchain.” Source: RevenueBase Database · checked Sep 28, 2026Thanks. The Data Team will review it. | |||||
| 16 | 2 contacts → | ||||
Indirect evidence “INTELLERCE LLC is a California based startup founded and managed by two PhDs in Electrical Engineering and Computer Science.” Source: RevenueBase Database · checked Sep 28, 2026Thanks. The Data Team will review it. | |||||
| 17 | 2 contacts → | ||||
Strong evidence “Imanis Data is the enterprise data management company powered by machine learning.” Source: RevenueBase Database · checked Sep 28, 2026Thanks. The Data Team will review it. | |||||
| 18 | 2 contacts → | ||||
Indirect evidence “FSV Analytics operates at the intersection of quantitative analysis and cloud-scale 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 infrastructure firms. 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 infrastructure firms.
- Partial evidence
- Its own public description names part of machine learning infrastructure firms, so it works in or next to the category without describing itself that way.
- Indirect evidence
- The description shown does not name machine learning infrastructure firms. 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 18 of 35 machine learning infrastructure firms based in San Jose, United States
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Machine learning infrastructure firms based in San Jose, United States at a glance
As of Sep 28, 2026Companies by employee count
Email recency for this list is measured across the whole United States list rather than for San Jose, so it is reported there. Company counts and contact totals on this page are exact for San Jose, over 35 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 infrastructure firms, 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 Jose, United States whose own description of what they do matches “machine learning infrastructure firms”. 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 infrastructure firms), 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 infrastructure firms, and records with no verified work email. Companies headquartered outside San Jose 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, 3,170 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 infrastructure firms by metro in the United States
- Machine learning infrastructure firms in San Francisco155
- Machine learning infrastructure firms in New York111
- Machine learning infrastructure firms in Austin43
- Machine learning infrastructure firms in Los Angeles34
- Machine learning infrastructure firms in Chicago32
- Machine learning infrastructure firms in Atlanta30
- Machine learning infrastructure firms in Palo Alto30
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 infrastructure firms, 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 infrastructure firms are there based in San Jose, United States?
RevenueBase identified 35 machine learning infrastructure firms headquartered in San Jose, 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?
WD, headquartered in San Jose, tops this list with the largest team on record.
Which city in the United States has the most machine learning infrastructure firms?
San Francisco leads the United States with 155 headquartered companies, followed by New York (111) and Austin (43). San Jose has 35.
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 3,170 verified decision-maker contacts tracked across these 35 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.
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