Company lists · Data refreshed September 2026
Top 25 On-device machine learning companies based in the United States
RevenueBase identified 162 on-device machine learning companies headquartered in the United States as of September 2026 and tracks 2,558 professional contacts across them, including 962 with verified work emails and 614 with mobile numbers. San Francisco is the largest hub.
This list covers on-device 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, how directly it supports the match, and when it was last checked. Data refreshed September 5, 2026.
Published by RevenueBase, a B2B data infrastructure company. This list was built with RevenueBase SmartSearch, 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 on-device machine learning companies based in the United States
Ranked by team size| # | Company | Contacts | |||
|---|---|---|---|---|---|
| 1 | 233 | ||||
“Blaize is a next-generation AI platform company delivering efficient, scalable inference across edge, data center, and cloud environments.” Source: company website · checked Sep 5, 2026Thanks. The Data Team will review it. | |||||
| 2 | 211 | ||||
“Founded in 2017 and headquartered in Irvine, Calif, Syntiant® is a leader in physical AI, delivering highly efficient processor, sensor and software solutions for speech, audio…” Source: company website · checked Sep 5, 2026Thanks. The Data Team will review it. | |||||
| 3 | 94 | ||||
“Ambient Scientific is a fabless semiconductor company born in Silicon Valley, pioneering ultra-low power AI processors that are fully programmable to enable endless AI…” Source: company website · checked Sep 5, 2026Thanks. The Data Team will review it. | |||||
| 4 | 86 | ||||
“AI Anywhere, a Paradigm Shift At Uniquify, we challenge the conventional neural network & AI technologies with our paradigm shifting Neural 2.0, which shrinks the neuron in neural…” Source: company website · checked Sep 5, 2026Thanks. The Data Team will review it. | |||||
| 5 | 84 | ||||
“Edge Impulse offers the latest in machine learning tooling, enabling all enterprises to build smarter edge products.” Source: company website · checked Sep 5, 2026Thanks. The Data Team will review it. | |||||
| 6 | 81 | ||||
“Very builds AI-powered applications that turn data into intelligent automation and insights-deployable in the cloud or at the edge.” Source: company website · checked Sep 5, 2026Thanks. The Data Team will review it. | |||||
| 7 | Ziroh LabsStrong evidence | 73 | |||
“We enable high-performance AI on CPUs like never before-making 100s of large language models deployable on cloud, on-premise and on device.” Source: company website · checked Sep 5, 2026Thanks. The Data Team will review it. | |||||
| 8 | Skylark LabsStrong evidence | 71 | |||
“Skylark Labs is creating a self-learning brain for machines, intelligence that learns on-device, adapts to the world around it, and thinks collectively with others.” Source: company website · checked Sep 5, 2026Thanks. The Data Team will review it. | |||||
| 9 | TurbineoneStrong evidence | 65 | |||
“TurbineOne delivers do-it-yourself Artificial Intelligence & Machine Learning (AI/ML).” Source: company website · checked Sep 5, 2026Thanks. The Data Team will review it. | |||||
| 10 | 57 | ||||
“In 36 months, agentic AI systems will be an operating reality across major institutions.” Source: company website · checked Sep 5, 2026Thanks. The Data Team will review it. | |||||
| 11 | Sensory, INCIndirect evidence | 49 | |||
“Sensory Inc.” Source: company website · checked Sep 5, 2026Thanks. The Data Team will review it. | |||||
| 12 | 45 | ||||
“The DeepEdge platform is an integrated deep learning development platform that enables developers and enterprises to build, train, optimize and deploy deep learning models and…” Source: company website · checked Sep 5, 2026Thanks. The Data Team will review it. | |||||
| 13 | 41 | ||||
“Opanga Networks is the global leader in the development and deployment of machine learning-powered software solutions for the telecommunications industry.” Source: company website · checked Sep 5, 2026Thanks. The Data Team will review it. | |||||
| 14 | 35 | ||||
“CoVar is a leader in machine learning and artificial intelligence solutions.” Source: company website · checked Sep 5, 2026Thanks. The Data Team will review it. | |||||
| 15 | 31 | ||||
“Are you building AI powered smart apps for a drone, camera, or robot?” Source: company website · checked Sep 5, 2026Thanks. The Data Team will review it. | |||||
| 16 | 27 | ||||
“Production-grade audio, vision, sensor, and local language AI for real devices.” Source: company website · checked Sep 5, 2026Thanks. The Data Team will review it. | |||||
| 17 | Xailient INCPartial evidence | 26 | |||
“Xailient’s computer vision AI for Edge devices enables innovators to bring their visions to life.” Source: company website · checked Sep 5, 2026Thanks. The Data Team will review it. | |||||
| 18 | 25 | ||||
“Nexa AI is an on device AI deployment and research company.” Source: company website · checked Sep 5, 2026Thanks. The Data Team will review it. | |||||
| 19 | SFARAIndirect evidence | 24 | |||
“We’re advancing mobile safety technology at home, in the workplace, and everywhere in between.” Source: company website · checked Sep 5, 2026Thanks. The Data Team will review it. | |||||
| 20 | 21 | ||||
“We execute the whole, or any part of the machine learning development pipeline from exploration to deployed solution.” Source: company website · checked Sep 5, 2026Thanks. The Data Team will review it. | |||||
| 21 | 20 | ||||
“EdgeRunner AI is the leader in domain-specific, air-gapped, on-device AI for military and enterprise.” Source: company website · checked Sep 5, 2026Thanks. The Data Team will review it. | |||||
| 22 | 19 | ||||
“Enabling Always-On Edge AI AONDevices delivers high-accuracy, low-power Always-On Edge AI through a fully optimized stack of AI processors, machine learning models, embedded…” Source: company website · checked Sep 5, 2026Thanks. The Data Team will review it. | |||||
| 23 | ID Privacy AIIndirect evidence | 19 | |||
“ID Privacy is at the forefront of Private custom-model development for enterprises.” Source: company website · checked Sep 5, 2026Thanks. The Data Team will review it. | |||||
| 24 | 19 | ||||
“Neuton.AI – a no-code Tiny ML platform.” Source: company website · checked Sep 5, 2026Thanks. The Data Team will review it. | |||||
| 25 | 18 | ||||
“Clostra is a leader in applied machine learning (ML) and deep learning (DL) to enhance decision making, reduce risk, and generate advantage.” Source: company website · checked Sep 5, 2026Thanks. The Data Team will review it. | |||||
Showing 25 of 162 on-device machine learning companies based in the United States
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On-device machine learning companies based in the United States at a glance
As of Sep 5, 2026Companies by employee count
Verified emails by last verification
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 on-device machine learning companies, so some rows will be adjacent to the category rather than pure plays. The description and evidence 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 SmartSearch, 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 “on-device machine learning companies”. Matching reads each company's description, not its industry code or its name.
- What we exclude
- Companies whose own description does not clearly place them among on-device 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 an evidence 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, 962 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 5, 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
How many on-device machine learning companies are there based in the United States?
RevenueBase identified 162 on-device 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?
Blaize, headquartered in El Dorado Hills, tops this list with the largest team on record.
Which city has the most on-device machine learning companies?
San Francisco leads with 13 headquartered companies, followed by New York (11) and Palo Alto (9).
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 962 verified decision-maker contacts tracked across these 162 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 5, 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 SmartSearch, 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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