Company lists · Data refreshed September 2026
Top 25 Deep learning optimization companies based in the United States
RevenueBase identified 113 deep learning optimization companies headquartered in the United States as of September 2026 and tracks 4,115 professional contacts across them, including 1,174 with verified work emails. San Francisco is the largest hub.
This list covers deep learning optimization 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 deep learning optimization companies based in the United States
Ranked by team size| # | Company | Contacts | |||
|---|---|---|---|---|---|
| 1 | 967 contacts → | ||||
Indirect evidence “Snorkel AI is the frontier AI data lab, helping teams build the data and environments behind high-performing frontier and agentic AI.” Source: RevenueBase Database · checked Sep 28, 2026Thanks. The Data Team will review it. | |||||
| 2 | 401 contacts → | ||||
Indirect evidence “Build Super Accurate AI with us.” Source: RevenueBase Database · checked Sep 28, 2026Thanks. The Data Team will review it. | |||||
| 3 | 364 contacts → | ||||
Indirect evidence “EAGLE is an AI infrastructure company advancing the state of inference through research in speculative decoding and efficient AI systems.” Source: RevenueBase Database · checked Sep 28, 2026Thanks. The Data Team will review it. | |||||
| 4 | 357 contacts → | ||||
Indirect evidence “Weights & Biases: the AI developer platform.” Source: RevenueBase Database · checked Sep 28, 2026Thanks. The Data Team will review it. | |||||
| 5 | 223 contacts → | ||||
Strong evidence “Our main planned development is deep learning algorithms, diversified markets” Source: RevenueBase Database · checked Sep 28, 2026Thanks. The Data Team will review it. | |||||
| 6 | 199 contacts → | ||||
Strong evidence “STRADVISION enables vehicles to detect and perceive environments in real-time, through its deep learning solution, SVNet.” Source: RevenueBase Database · checked Sep 28, 2026Thanks. The Data Team will review it. | |||||
| 7 | 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. | |||||
| 8 | 140 contacts → | ||||
Indirect evidence “The AI development platform - From idea to AI, Lightning fast.” Source: RevenueBase Database · checked Sep 28, 2026Thanks. The Data Team will review it. | |||||
| 9 | 93 contacts → | ||||
Indirect evidence “Flatiron builds AI systems from the ground up.” Source: RevenueBase Database · checked Sep 28, 2026Thanks. The Data Team will review it. | |||||
| 10 | 72 contacts → | ||||
Indirect evidence “MatX designs hardware tailored for the world’s best AI models: We dedicate every transistor to maximizing performance for large models.” Source: RevenueBase Database · checked Sep 28, 2026Thanks. The Data Team will review it. | |||||
| 11 | 67 contacts → | ||||
Partial 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. | |||||
| 12 | 57 contacts → | ||||
Indirect evidence “In 36 months, agentic AI systems will be an operating reality across major institutions.” Source: RevenueBase Database · checked Sep 28, 2026Thanks. The Data Team will review it. | |||||
| 13 | 43 contacts → | ||||
Indirect evidence “At Databricks AI Research, we believe that all organizations should have access to state-of-the-art data + AI capabilities.” Source: RevenueBase Database · checked Sep 28, 2026Thanks. The Data Team will review it. | |||||
| 14 | 34 contacts → | ||||
Indirect evidence “Prime Intellect makes frontier AI training accessible to every company.” Source: RevenueBase Database · checked Sep 28, 2026Thanks. The Data Team will review it. | |||||
| 15 | 29 contacts → | ||||
Indirect evidence “Essential AI is on a mission to make frontier AI more accessible through an open, collaborative platform.” Source: RevenueBase Database · checked Sep 28, 2026Thanks. The Data Team will review it. | |||||
| 16 | 26 contacts → | ||||
Partial evidence “Exostellar is a self-managed, AI Infrastructure Orchestration and Optimization company that does the thinking for your infrastructure - scaling GPUs and CPUs, tuning workloads…” Source: RevenueBase Database · checked Sep 28, 2026Thanks. The Data Team will review it. | |||||
| 17 | 26 contacts → | ||||
Indirect evidence “Anote is an applied AI research company in New York City.” Source: RevenueBase Database · checked Sep 28, 2026Thanks. The Data Team will review it. | |||||
| 18 | 25 contacts → | ||||
Indirect evidence “Nexa AI is an on device AI deployment and research company.” Source: RevenueBase Database · checked Sep 28, 2026Thanks. The Data Team will review it. | |||||
| 19 | 20 contacts → | ||||
Indirect evidence “Petuum builds state-of-the-art generative AI focused on transparency.” Source: RevenueBase Database · checked Sep 28, 2026Thanks. The Data Team will review it. | |||||
| 20 | 18 contacts → | ||||
Strong evidence “Clostra is a leader in applied machine learning (ML) and deep learning (DL) to enhance decision making, reduce risk, and generate advantage.” Source: RevenueBase Database · checked Sep 28, 2026Thanks. The Data Team will review it. | |||||
| 21 | 18 contacts → | ||||
Indirect evidence “AIM is a technology driven, data monetization firm.” Source: RevenueBase Database · checked Sep 28, 2026Thanks. The Data Team will review it. | |||||
| 22 | 16 contacts → | ||||
Indirect evidence “Neural Bridge is an AI Lab.” Source: RevenueBase Database · checked Sep 28, 2026Thanks. The Data Team will review it. | |||||
| 23 | 16 contacts → | ||||
Indirect evidence “About Us At ScaleGenAI, we are at the forefront of transforming how businesses interact with generative AI– streamlining LLM fine-tuning, inference, and genAI app development with…” Source: RevenueBase Database · checked Sep 28, 2026Thanks. The Data Team will review it. | |||||
| 24 | 14 contacts → | ||||
Indirect evidence “Observe & Optimize AI infrastructure for LLM apps Understand how your LLM apps consume AI infra and auto-remediate bottlenecks or wasteful spend to maximize ROI of your AI projects” Source: RevenueBase Database · checked Sep 28, 2026Thanks. The Data Team will review it. | |||||
| 25 | 14 contacts → | ||||
Partial evidence “BDTI delivers competitive advantage to companies creating and using vision and machine learning technology.” 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: deep learning optimization 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 deep learning optimization companies.
- Partial evidence
- Its own public description names part of deep learning optimization companies, so it works in or next to the category without describing itself that way.
- Indirect evidence
- The description shown does not name deep learning optimization 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 113 deep learning optimization companies based in the United States
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Deep learning optimization 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 113 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 deep learning optimization 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 “deep learning optimization 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 deep learning optimization 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 deep learning optimization 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, 1,174 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 deep learning optimization 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 deep learning optimization companies are there based in the United States?
RevenueBase identified 113 deep learning optimization 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?
Snorkel AI, headquartered in Redwood City, tops this list with the largest team on record.
Which city has the most deep learning optimization companies?
San Francisco leads with 22 headquartered companies, followed by New York (9) and Boston (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 1,174 verified decision-maker contacts tracked across these 113 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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