Company lists · Data refreshed September 2026
Top 25 Kubernetes machine learning companies based in the United States
RevenueBase identified 57 kubernetes machine learning companies headquartered in the United States as of September 2026 and tracks 1,355 professional contacts across them, including 557 with verified work emails. San Francisco is the largest hub.
This list covers kubernetes machine learning 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, 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 25 largest kubernetes machine learning companies based in the United States
Ranked by team size| # | Company | Contacts | |||
|---|---|---|---|---|---|
| 1 | 606 contacts → | ||||
Indirect evidence “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: RevenueBase Database · checked Sep 28, 2026Thanks. The Data Team will review it. | |||||
| 2 | 166 contacts → | ||||
Indirect evidence “Fireworks is the fastest way to build, tune, and scale AI on open models.” Source: RevenueBase Database · checked Sep 28, 2026Thanks. The Data Team will review it. | |||||
| 3 | 95 contacts → | ||||
Indirect evidence “GMI Cloud’s mission is to empower anyone to deploy and scale AI effortlessly.” Source: RevenueBase Database · checked Sep 28, 2026Thanks. The Data Team will review it. | |||||
| 4 | 70 contacts → | ||||
Indirect evidence “Banana provides ML Model Hosting as an API.” Source: RevenueBase Database · checked Sep 28, 2026Thanks. The Data Team will review it. | |||||
| 5 | 45 contacts → | ||||
Partial evidence “We provide enterprise-grade Kubernetes products and comprehensive managed services to accelerate your cloud native journey.” Source: RevenueBase Database · checked Sep 28, 2026Thanks. The Data Team will review it. | |||||
| 6 | 38 contacts → | ||||
Partial evidence “Reduce Kubernetes costs | Optimize GPU efficiency and spend | Trusted by the Fortune Ten” Source: RevenueBase Database · checked Sep 28, 2026Thanks. The Data Team will review it. | |||||
| 7 | 28 contacts → | ||||
Indirect evidence “Qovery is the Agentic Infrastructure Platform.” Source: RevenueBase Database · checked Sep 28, 2026Thanks. The Data Team will review it. | |||||
| 8 | 22 contacts → | ||||
Indirect evidence “Hyperbolic provides high‑performance GPU clusters and managed inference for AI startups and ML teams that need reliable capacity on demand, at a lower cost than anyone else.” Source: RevenueBase Database · checked Sep 28, 2026Thanks. The Data Team will review it. | |||||
| 9 | 21 contacts → | ||||
Strong evidence “We execute the whole, or any part of the machine learning development pipeline from exploration to deployed solution.” Source: RevenueBase Database · checked Sep 28, 2026Thanks. The Data Team will review it. | |||||
| 10 | 20 contacts → | ||||
Indirect evidence “Agentic AI broke the inference stack.” Source: RevenueBase Database · checked Sep 28, 2026Thanks. The Data Team will review it. | |||||
| 11 | 13 contacts → | ||||
Strong evidence “Verta is a Palo Alto-based startup building software infrastructure to help enterprise data science and machine learning (ML) teams rapidly develop and deploy ML models.” Source: RevenueBase Database · checked Sep 28, 2026Thanks. The Data Team will review it. | |||||
| 12 | 10 contacts → | ||||
Strong evidence “Cerebrium is a platform to deploy machine learning models to serverless GPUs with sub-5 second cold-start times.” Source: RevenueBase Database · checked Sep 28, 2026Thanks. The Data Team will review it. | |||||
| 13 | 10 contacts → | ||||
Strong evidence “Autumn8 provides a Deployment and Inference Toolkit for Machine Learning and Foundational Models.” Source: RevenueBase Database · checked Sep 28, 2026Thanks. The Data Team will review it. | |||||
| 14 | 9 contacts → | ||||
Strong evidence “RocketML is a Super Fast Computational engine for Machine Learning.” Source: RevenueBase Database · checked Sep 28, 2026Thanks. The Data Team will review it. | |||||
| 15 | 9 contacts → | ||||
Strong evidence “Making it easy to run or deploy machine learning models and develop LLM applications.” Source: RevenueBase Database · checked Sep 28, 2026Thanks. The Data Team will review it. | |||||
| 16 | 8 contacts → | ||||
Partial evidence “Pipekit helps data scientists, engineers, and developers run distributed jobs on Kubernetes clusters” Source: RevenueBase Database · checked Sep 28, 2026Thanks. The Data Team will review it. | |||||
| 17 | 8 contacts → | ||||
Partial evidence “Kubegrade is an AI-powered platform built to end the pain of Kubernetes sprawl.” Source: RevenueBase Database · checked Sep 28, 2026Thanks. The Data Team will review it. | |||||
| 18 | 5 contacts → | ||||
Partial evidence “Regarding RealTheory: Here is our Marketing Pitch with some roadmap included: RealTheory is here to redefine how you optimize your Kubernetes platforms.” Source: RevenueBase Database · checked Sep 28, 2026Thanks. The Data Team will review it. | |||||
| 19 | 5 contacts → | ||||
Indirect evidence “Unlock the Power of AI with Bitnimbus.” Source: RevenueBase Database · checked Sep 28, 2026Thanks. The Data Team will review it. | |||||
| 20 | 5 contacts → | ||||
Indirect evidence “Backed by Bessemer Venture Partners, Tidal Ventures, and other notable angel investors, AIMon is the one platform enterprises need to drive success with AI.” Source: RevenueBase Database · checked Sep 28, 2026Thanks. The Data Team will review it. | |||||
| 21 | 4 contacts → | ||||
Indirect evidence “Founded by Rohit Seth in January 2019, CloudNatix aims to revolutionize the manageability and efficiency of on-prem and cloud environments for enterprises focusing on AI/LLM and…” Source: RevenueBase Database · checked Sep 28, 2026Thanks. The Data Team will review it. | |||||
| 22 | 4 contacts → | ||||
Strong evidence “Contact us today to start an engagement that changes your organization forever!#ai #machinelearning Delivering Amazing Machine Learning and Artificial intelligence.” Source: RevenueBase Database · checked Sep 28, 2026Thanks. The Data Team will review it. | |||||
| 23 | 4 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 28, 2026Thanks. The Data Team will review it. | |||||
| 24 | 2 contacts → | ||||
Indirect evidence “Putting state-of-the-art ML and generative AI into the hands of every business stakeholder.” Source: RevenueBase Database · checked Sep 28, 2026Thanks. The Data Team will review it. | |||||
| 25 | 2 contacts → | ||||
Strong evidence “On a mission to democratize access to machine learning.” 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: kubernetes machine learning 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 kubernetes machine learning companies.
- Partial evidence
- Its own public description names part of kubernetes machine learning companies, so it works in or next to the category without describing itself that way.
- Indirect evidence
- The description shown does not name kubernetes machine learning 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 57 kubernetes machine learning companies based in the United States
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Kubernetes machine learning companies based in the United States at a glance
As of Sep 28, 2026Companies by employee count
Email recency for this list is measured worldwide rather than for United States, so it is reported there. Company counts and contact totals on this page are exact for United States, over 57 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 kubernetes machine learning 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 the United States whose own description of what they do matches “kubernetes machine learning 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 kubernetes machine learning 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 kubernetes machine learning 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 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, 557 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.
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 kubernetes machine learning 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 kubernetes machine learning companies are there based in the United States?
RevenueBase identified 57 kubernetes machine learning 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?
Mirantis, headquartered in Campbell, tops this list with the largest team on record.
Which city has the most kubernetes machine learning companies?
San Francisco leads with 9 headquartered companies, followed by New York (6) and Atlanta (3).
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 557 verified decision-maker contacts tracked across these 57 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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