59 AI Hardware Companies in 2026
AI hardware companies build the physical side of AI: chips and accelerators that train and run models, edge AI processors, and AI devices people wear or carry, from smart glasses to recording pendants.
- Companies
- 59
- In LeadWave's database, November 2026
- Total funding raised
- $9.2B
- Across 19 funded companies
- Median headcount
- 55
- Of 34 with a known headcount
- Median year founded
- 2017
- Of 34 with a known year
The largest AI Hardware companies
The top 30 of 59, strongest matches first, then by size. Headcount is the latest known figure.
| Company | Website | Employees | Headcount | Funding | CEO | |
|---|---|---|---|---|---|---|
1 Oura | ouraring.com | — | 950 | — | Tom Hale | |
2 WHOOP | whoop.com | — | 800 | — | Will Ahmed | |
3 Graphcore | graphcore.ai | 501–1,000 | — | — | Helen Wann | |
4 SambaNova | sambanova.ai | 201–500 | 400 | $2.5B | Rodrigo Liang | |
5 PhysicsX | physicsx.ai | 201–500 | 330 | $487M | Jacomo Corbo | |
6 Halter | halterhq.com | — | 326 | — | Craig Piggott | |
7 FieldAI | fieldai.com | — | 176 | $430M | Ali Agha | |
8 Plaud.ai | plaud.ai | — | 146 | — | Nathan Xu | |
9 Nominal | nominal.io | — | 131 | $185.1M | Cameron McCord | |
10 Hailo | hailo.ai | 51–200 | — | — | Orr Danon | |
11 Flux | flux.ai | — | 94 | — | Matthias Wagner | |
12 microagi | microagi.ai | 51–200 | 82 | $55M | Yoan Iliev | |
13 Architect Labs | architectlabs.com | 11–50 | 35 | $24M | Aaditya Subedi | |
14 Extropic | extropic.ai | — | 26 | — | Guillaume Verdon | |
15 Pickle | getpickle.ai | 11–50 | 17 | — | Daniel Park | |
16 Posture AI | myposture.ai | 11–50 | 14 | $3M | William Choi | |
17 Pocket | heypocket.com | — | 6 | — | — | — |
18 LEAP 71 | leap71.com | — | 5 | — | Josefine Lissner | |
19 Cerebras | cerebras.ai | — | — | — | — | Andrew Feldman |
20 Groq | groq.com | — | — | — | — | — |
21 Etched | etched.com | — | — | — | — | — |
22 d-Matrix | d-matrix.ai | — | — | — | — | |
23 Lightmatter | lightmatter.co | — | — | — | — | |
24 SiMa.ai | sima.ai | — | — | — | — | |
25 CuspAI | cusp.ai | — | — | — | — | — |
26 Even Realities | evenrealities.com | — | — | — | — | — |
27 Flow | flow-computing.com | — | — | — | Timo Valtonen | |
28 MIRA | trymira.com | — | — | — | — | — |
29 Oratomic | oratomic.com | — | — | — | — | — |
30 Salience Labs | saliencelabs.ai | — | — | — | — | — |
AI Hardware companies at a glance
- 48% are headquartered in United States, followed by United Kingdom.
- The largest is Oura, with 950 employees.
- 19 have disclosed funding, $9.2B in total; 9 raised $100M or more.
- Half were founded before 2017, and 21% in 2020 or later.
- United States19 · 48%
- United Kingdom4 · 10%
- India3 · 8%
- Australia2 · 5%
- Netherlands2 · 5%
- Canada1 · 3%
- 1–109 · 28%
- 11–5010 · 31%
- 51–2005 · 16%
- 201–5004 · 13%
- 501–1,0003 · 9%
- 1,001–5,0000 · 0%
- 5,001–10,0000 · 0%
- 10,000+1 · 3%
- Before 20001 · 3%
- 2000–20092 · 6%
- 2010–20145 · 15%
- 2015–201919 · 56%
- 2020–20223 · 9%
- 2023 or later4 · 12%
- Under $1M3 · 16%
- $1M–5M2 · 11%
- $5M–10M0 · 0%
- $10M–50M3 · 16%
- $50M–100M2 · 11%
- $100M–500M5 · 26%
- $500M–1B2 · 11%
- $1B+2 · 11%
How this list was built
A company is on this list if LeadWave tags it as AI hardware or silicon chips, or its description or website presents AI chips, accelerators or AI devices.
The data comes from LeadWave's database of SaaS and AI companies, last updated in November 2026. Companies that share a website are counted once. Headcount, funding and CEO come from public sources, so some fields are blank for smaller companies.
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Frequently asked questions
LeadWave's database lists 59 AI Hardware companies as of November 2026. This page shows the 30 largest; the full list, with CEO contacts, is part of our 15,000+ SaaS companies list.
By headcount, Oura, with 950 employees, followed by WHOOP and Graphcore.
United States: 48% of those with a known headquarters, followed by United Kingdom at 10%.
SambaNova ($2.5B), PhysicsX ($487M) and FieldAI ($430M), by total disclosed funding.
LeadWave's AI companies list covers 9,000+ AI companies and startups, with CEO emails, LinkedIn profiles, funding and 25+ data points in one CSV. It's on the List of AI Companies page.
GPUs were built for graphics and adapted to AI. Chips designed only for AI workloads, especially inference, can be faster or use far less power for the same job, and demand for AI compute has grown faster than any one supplier can serve.