Company lists · Data refreshed September 2026
Top 25 Machine learning infrastructure companies based in New York, United States
RevenueBase identified 76 machine learning infrastructure companies headquartered in New York, United States as of September 2026 and tracks 11,128 professional contacts across them, including 3,151 with verified work emails. San Francisco is the largest hub.
This list covers machine learning infrastructure companies headquartered in New York, 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 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 25 largest machine learning infrastructure companies based in New York, United States
Ranked by team size| # | Company | Contacts | |||
|---|---|---|---|---|---|
| 1 | 4,941 contacts → | ||||
Indirect evidence “Invisible Technologies makes AI work.” Source: RevenueBase Database · checked Sep 14, 2026Thanks. The Data Team will review it. | |||||
| 2 | 1,865 contacts → | ||||
Indirect evidence “CoreWeave is the Essential Cloud for AI.” Source: RevenueBase Database · checked Sep 14, 2026Thanks. The Data Team will review it. | |||||
| 3 | 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 14, 2026Thanks. The Data Team will review it. | |||||
| 4 | 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 14, 2026Thanks. The Data Team will review it. | |||||
| 5 | 140 contacts → | ||||
Indirect evidence “The AI development platform - From idea to AI, Lightning fast.” Source: RevenueBase Database · checked Sep 14, 2026Thanks. The Data Team will review it. | |||||
| 6 | 89 contacts → | ||||
Indirect evidence “io.net is the intelligent stack for powering AI.” Source: RevenueBase Database · checked Sep 14, 2026Thanks. The Data Team will review it. | |||||
| 7 | 36 contacts → | ||||
Partial evidence “Daytona provides a secure, scalable infrastructure for executing AI-generated code.” Source: RevenueBase Database · checked Sep 14, 2026Thanks. The Data Team will review it. | |||||
| 8 | 31 contacts → | ||||
Indirect evidence “Easy Production AI at Scale: Any Model, Any Hardware, Anywhere.” Source: RevenueBase Database · checked Sep 14, 2026Thanks. The Data Team will review it. | |||||
| 9 | 31 contacts → | ||||
Strong evidence “Founded by Bell Labs research veterans, and associated with breakthrough startups like Amelia, EazyML, specializes in Transparent Machine Learning.” Source: RevenueBase Database · checked Sep 14, 2026Thanks. The Data Team will review it. | |||||
| 10 | 25 contacts → | ||||
Indirect evidence “The world of data is complex, and transforming large datasets into signals quickly is increasingly challenging.” Source: RevenueBase Database · checked Sep 14, 2026Thanks. The Data Team will review it. | |||||
| 11 | 22 contacts → | ||||
Partial evidence “Thread AI is an AI infrastructure company founded by Angela McNeal and Mayada Gonimah, former Heads of AI Product and Engineering at Palantir Technologies.” Source: RevenueBase Database · checked Sep 14, 2026Thanks. The Data Team will review it. | |||||
| 12 | 20 contacts → | ||||
Indirect evidence “Data Engineering and AI consultancy company.” Source: RevenueBase Database · checked Sep 14, 2026Thanks. The Data Team will review it. | |||||
| 13 | 17 contacts → | ||||
Indirect evidence “Hedgineer deploys a purpose-built AI platform on top of Claude that unifies your data licenses and systems into a platform where your team can build and manage their own agents…” Source: RevenueBase Database · checked Sep 14, 2026Thanks. The Data Team will review it. | |||||
| 14 | 17 contacts → | ||||
Indirect evidence “Seemore Data is the leading autonomous AI-powered agent for the modern data cloud.” Source: RevenueBase Database · checked Sep 14, 2026Thanks. The Data Team will review it. | |||||
| 15 | 13 contacts → | ||||
Strong evidence “Data Infrastructure | Visualization & Dashboards | Machine Learning | Artificial Intelligence | Deep Learning | High Performance Computing Lander Analytics is a full service data…” Source: RevenueBase Database · checked Sep 14, 2026Thanks. The Data Team will review it. | |||||
| 16 | 12 contacts → | ||||
Indirect evidence “We offer agile AI/ML building blocks and thought leadership to assist you in discovering, implementing, and augmenting intelligent decision-making” Source: RevenueBase Database · checked Sep 14, 2026Thanks. The Data Team will review it. | |||||
| 17 | 10 contacts → | ||||
Partial evidence “Cake provides AI Project Infrastructure, delivering a faster and more cost effective path for businesses to adopt cutting edge AI/ML technologies.” Source: RevenueBase Database · checked Sep 14, 2026Thanks. The Data Team will review it. | |||||
| 18 | 7 contacts → | ||||
Indirect evidence “Bring It To Light™ accelerates enterprise AI transformation through intelligent cloud-native solutions.” Source: RevenueBase Database · checked Sep 14, 2026Thanks. The Data Team will review it. | |||||
| 19 | 6 contacts → | ||||
Indirect evidence “We build and run your entire data stack, so your team can ask AI real questions and trust what comes back, for a fraction of the cost of full-time hires.” Source: RevenueBase Database · checked Sep 14, 2026Thanks. The Data Team will review it. | |||||
| 20 | 6 contacts → | ||||
Indirect evidence “RingLink is building the foundational layer for private, container-native AI-bridging intelligent hardware with cloud-native AI services.” Source: RevenueBase Database · checked Sep 14, 2026Thanks. The Data Team will review it. | |||||
| 21 | 6 contacts → | ||||
Strong evidence “Paperspace, now part of DigitalOcean, is a high-performance cloud computing and ML development platform for building, training and deploying machine learning models.” Source: RevenueBase Database · checked Sep 14, 2026Thanks. The Data Team will review it. | |||||
| 22 | 6 contacts → | ||||
Strong evidence “We transform complex data landscapes into strategic insights, deploying cutting-edge machine learning and data science methodologies to help businesses unlock unprecedented…” Source: RevenueBase Database · checked Sep 14, 2026Thanks. The Data Team will review it. | |||||
| 23 | 5 contacts → | ||||
Indirect evidence “We develop custom Artificial Intelligence tools for your business.” Source: RevenueBase Database · checked Sep 14, 2026Thanks. The Data Team will review it. | |||||
| 24 | 5 contacts → | ||||
Strong evidence “Our work is simply defined but hard to execute: we build the highest performance machine learning, apps, and infrastructure.” Source: RevenueBase Database · checked Sep 14, 2026Thanks. The Data Team will review it. | |||||
| 25 | 4 contacts → | ||||
Indirect evidence “Roya is the operating layer for Fortune 500 enterprises globally.” 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 25 of 76 machine learning infrastructure companies based in New York, United States
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Machine learning infrastructure companies based in New York, United States at a glance
As of Sep 14, 2026Companies by employee count
Email recency for this list is measured across the whole United States list rather than for New York, so it is reported there. Company counts and contact totals on this page are exact for New York, over 76 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 New York, 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.
- 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 New York 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, 3,151 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.
Machine learning infrastructure companies by metro in the United States
- Machine learning infrastructure companies in San Francisco133
- Machine learning infrastructure companies in New York76
- Machine learning infrastructure companies in Austin34
- Machine learning infrastructure companies in Los Angeles27
- Machine learning infrastructure companies in Palo Alto26
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 New York, United States?
RevenueBase identified 76 machine learning infrastructure companies headquartered in New York, 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?
Invisible Technologies, headquartered in New York, tops this list with the largest team on record.
Which city has the most machine learning infrastructure companies?
San Francisco leads with 133 headquartered companies, followed by New York (76) 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 3,151 verified decision-maker contacts tracked across these 76 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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