Top 46 Startups developing AI Hardware

Nov 10, 2025
These companies develop and build TPU chips and other hardware, specifically designed for machine learning that accelerate training and performance of neural networks and reduce the power consumption.
1
Country: China | Funding: $761.9M
Cambricon develops artificial intelligence chips.
2
Country: South Korea | Funding: $457.7M
Rebellions.ai builds AI accelerators by bridging the gap between underlying silicon architectures and deep learning algorithms.
3
Country: Netherlands | Funding: $203.2M
Axelera is working to develop AI acceleration cards and systems for use cases like security, retail and robotics that it plans to sell through partners in the business-to-business edge computing and Internet of Things sectors.
4
Country: USA | Funding: $105M
Axiado Corporation is a security processor company redefining hardware root of trust with hardware-based security technologies, including per-system AI.
5
Country: USA | Funding: $1.8B
Cerebras is a computer systems company dedicated to accelerating deep learning. The pioneering Wafer-Scale Engine (WSE) – the largest chip ever built – is at the heart of our deep learning system, the Cerebras CS-1.
6
Country: USA | Funding: $1.8B
Groq radically simplifies compute to accelerate workloads in artificial intelligence, machine learning, and high-performance computing.
7
Country: USA | Funding: $1.1B
SambaNova Systems is a computing startup focused on building machine learning and big data analytics platforms.
8
Country: USA | Funding: $822M
Lightmatter is building the engines that will power discoveries, drive progress, and reduce our impact on the planet.
9
Country: UK | Funding: $692M
Graphcore is a semiconductor company that develops accelerators for AI and machine learning. It aims to make a massively parallel Intelligent Processing Unit that holds the complete machine learning model inside the processor.
10
Country: USA | Funding: $588.9M
Celestial AI develops optical interconnect technology for compute-to-compute, compute-to-memory and on-chip data transmission.
11
Country: USA | Funding: $355M
SiMa.ai is building an ultra low-power software and chip solution for machine learning at the edge.
12
Country: Israel | Funding: $343.9M
Hailo has developed a specialized deep learning processor that delivers the performance of a data center-class computer to edge devices.
13
Country: Canada | Funding: $334.5M
Tenstorrent is a computing company that develops AI processors designed to help in faster training and adaptability to future algorithms.
14
Country: USA | Funding: $300M
MatX is an AI chip startup that designs chips that support large language models.
15
Country: USA | Funding: $242M
Blaize is an AI computing platforms company that develops products for the automotive, smart vision, and enterprise computing markets.
16
Country: USA | Funding: $240M
Enfabrica develops networking hardware to drive AI workloads
17
Country: USA | Funding: $212M
Kneron develops an application-specific integrated circuit and software that offers artificial intelligence-based tools.
18
Country: USA | Funding: $164.7M
Mythic goes beyond conventional digital architectures, memory, and calculation elements – rethinking everything from the ground up: from transistors and physics, through circuits and systems, up to software and AI algorithms.
19
Country: USA | Funding: $162.9M
EnCharge AI delivers a battle-tested computing platform to unlock the best AI computing, from the edge to the cloud.
20
Country: USA | Funding: $126M
EdgeQ intends to fuse AI compute and 5G within a single chip. The company is pioneering converged connectivity and AI that is fully software-customizable and programmable.
Editor: Siddhant Patel
Siddhant Patel is a senior editor for AI-Startups. He is based out of India and has previously worked at publications including Huffington Post and The Next Web. Siddhant has a special interest in artificial intelligence and has spent a decade covering the rapidly-evolving business and technology of the industry. Siddhant graduated from the Indian Institute of Science (Bengaluru). When he’s not writing, Siddhant is also a developer and has a deep historical knowledge of the computer industry for the past 50 years. You can contact Siddhant at sidpatel(at)ai-startups(dot)pro