Company lists · Data refreshed September 2026
Top 20 Machine learning infrastructure companies based in Japan
RevenueBase identified 37 machine learning infrastructure companies headquartered in Japan as of September 2026 and tracks 2,235 professional contacts across them, including 854 with verified work emails. Jing is the largest hub.
This list covers machine learning infrastructure companies headquartered in Japan, 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 14, 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 20 largest machine learning infrastructure companies based in Japan
Ranked by team size| # | Company | Contacts | |||
|---|---|---|---|---|---|
| 1 | 1,211 contacts → | ||||
Indirect evidence Source: RevenueBase Database · checked Sep 14, 2026Thanks. The Data Team will review it. | |||||
| 2 | 367 contacts → | ||||
Indirect evidence “Preferred Networks (PFN)’s mission is to make the real world computable.” Source: RevenueBase Database · checked Sep 14, 2026Thanks. The Data Team will review it. | |||||
| 3 | 186 contacts → | ||||
Indirect evidence “PKSHA TechnologyAIAI SaaS We focus on shaping future software by providing AI solutions and AI SaaS.” Source: RevenueBase Database · checked Sep 14, 2026Thanks. The Data Team will review it. | |||||
| 4 | 111 contacts → | ||||
Indirect evidence “ABEJA ABEJAAIABEJA Platform ABEJA PlatformAIAI ABEJA2012ABEJA Platform” Source: RevenueBase Database · checked Sep 14, 2026Thanks. The Data Team will review it. | |||||
| 5 | 68 contacts → | ||||
Indirect evidence “primeNumberAI COMETAAIAI AI” Source: RevenueBase Database · checked Sep 14, 2026Thanks. The Data Team will review it. | |||||
| 6 | 53 contacts → | ||||
Indirect evidence “We provide Maira – a comprehensive, one-stop platform for building, deploying, and optimizing AI-powered applications.” Source: RevenueBase Database · checked Sep 14, 2026Thanks. The Data Team will review it. | |||||
| 7 | 32 contacts → | ||||
Indirect evidence “HACARUS is on a mission to build the next generation of tools for those shaping the future with its proprietary AI core - built to provide big insights from small data.” Source: RevenueBase Database · checked Sep 14, 2026Thanks. The Data Team will review it. | |||||
| 8 | 31 contacts → | ||||
Indirect evidence “At RUTILEA, we provide a comprehensive AI development platform and GPU cloud services, assisting you throughout the process-from choosing the ideal AI models to setting up and…” Source: RevenueBase Database · checked Sep 14, 2026Thanks. The Data Team will review it. | |||||
| 9 | 21 contacts → | ||||
Indirect evidence “AlmondoChatGPTAIAI” Source: RevenueBase Database · checked Sep 14, 2026Thanks. The Data Team will review it. | |||||
| 10 | 14 contacts → | ||||
Strong evidence “Founded in 2007, we specialize in constructing high-speed data processing systems and creating machine learning products for a leading mobile group advertising company…” Source: RevenueBase Database · checked Sep 14, 2026Thanks. The Data Team will review it. | |||||
| 11 | 14 contacts → | ||||
Indirect evidence Source: RevenueBase Database · checked Sep 14, 2026Thanks. The Data Team will review it. | |||||
| 12 | 12 contacts → | ||||
Strong evidence “System Infrastructure Design/Construction Big Data Analytics Infrastructure Design/Construction Deep Learning System Design/Construction System Operation System Consulting” Source: RevenueBase Database · checked Sep 14, 2026Thanks. The Data Team will review it. | |||||
| 13 | 11 contacts → | ||||
Indirect evidence Source: RevenueBase Database · checked Sep 14, 2026Thanks. The Data Team will review it. | |||||
| 14 | 8 contacts → | ||||
Indirect evidence “AI Security & Governance” Source: RevenueBase Database · checked Sep 14, 2026Thanks. The Data Team will review it. | |||||
| 15 | 5 contacts → | ||||
Indirect evidence “AIData Technology CompanyModern Data StackAI https://en-gage.net/polarfox_career/” Source: RevenueBase Database · checked Sep 14, 2026Thanks. The Data Team will review it. | |||||
| 16 | 5 contacts → | ||||
Indirect evidence “iKalaAI AIDX” Source: RevenueBase Database · checked Sep 14, 2026Thanks. The Data Team will review it. | |||||
| 17 | 4 contacts → | ||||
Indirect evidence “XTREME-DAll-in-One” Source: RevenueBase Database · checked Sep 14, 2026Thanks. The Data Team will review it. | |||||
| 18 | 3 contacts → | ||||
Indirect evidence Source: RevenueBase Database · checked Sep 14, 2026Thanks. The Data Team will review it. | |||||
| 19 | 2 contacts → | ||||
Strong evidence “Machine Learning & Cloud Technology Consulting” Source: RevenueBase Database · checked Sep 14, 2026Thanks. The Data Team will review it. | |||||
| 20 | 1 contacts → | ||||
Indirect evidence “Avgidea Data Platform provides a one-stop data management and AI application execution environment.” Source: RevenueBase Database · checked Sep 14, 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 companies. 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 companies.
- Partial evidence
- Its own public description names part of machine learning infrastructure companies, 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 companies. 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 20 of 37 machine learning infrastructure companies based in Japan
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Machine learning infrastructure companies based in Japan at a glance
As of Sep 14, 2026Companies by employee count
Email recency for this list is measured worldwide rather than for Japan, so it is reported there. Company counts and contact totals on this page are exact for Japan, over 37 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 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 Japan 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.
- 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 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 infrastructure companies, and records with no verified work email. Companies headquartered outside Japan 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, 854 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 14, 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.
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 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 infrastructure companies are there based in Japan?
RevenueBase identified 37 machine learning infrastructure companies headquartered in Japan 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 Japan 日本オラクル, headquartered in Tokyo, tops this list with the largest team on record.
Which city has the most machine learning infrastructure companies?
Jing leads with 7 headquartered companies, followed by Tokyo (7) and Yokohama (2).
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 854 verified decision-maker contacts tracked across these 37 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 14, 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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