The AI chip manufacturing industry is crucial for powering artificial intelligence, featuring firms that design and produce specialized processors optimized for AI workloads. These companies create components like neural network accelerators and edge computing hardware, enabling advancements in sectors such as automotive, robotics, and consumer electronics. The industry's forward momentum is apparent with a growing emphasis on energy efficiency and performance, as demand rises for efficient AI solutions. Emerging trends include an increased focus on edge AI chips that manage data processing closer to the source, minimizing latency and enhancing real-time processing capabilities.

This list features 28 notable AI chip manufacturing companies. They range from startups to more established firms, with varying team sizes, primarily founded between 2012 and 2022. Headquarters are located across several key regions, including the United States, South Korea, and Israel. Each company brings unique technical expertise, specializing in products from AI accelerators to specialized processors, targeting applications such as smart homes and industrial automation. Their diverse backgrounds reflect the fast-growing AI market and its changing demands.

Read on to discover more about the top AI chip manufacturing companies.

Top 28 AI Chip Manufacturing Companies

1. Graphcore

• Website: graphcore.ai
• Ownership type: Corporate
• Headquarters: Bristol, England, United Kingdom (UK)
• Employee distribution: United Kingdom (UK) 84%, China 6%, Poland 5%, Other 5%
• Latest funding: July 2024
• Founded year: 2016
• Headcount: 501-1000
• LinkedIn: graphcore

Graphcore Limited, founded in 2016 and headquartered in Bristol, England, is a semiconductor company that specializes in artificial intelligence technology. The company is known for its development of the Intelligence Processing Unit (IPU), a processor designed specifically for machine intelligence tasks. Graphcore's products, including the Bow IPU processors and the Poplar software stack, aim to improve the efficiency and speed of AI model development across various sectors, such as finance, healthcare, and scientific research. The company has garnered attention for its innovative approach to AI infrastructure, enabling faster experimentation and deployment of AI solutions. Graphcore operates as a subsidiary of SoftBank Group Corp, which further solidifies its position in the market and provides access to additional resources for growth and development.

2. Mythic

• Website: mythic.ai
• Ownership type: Venture Capital
• Headquarters: Austin, Texas, United States (USA)
• Employee distribution: United States (USA) 91%, South Korea 9%
• Latest funding: $13.0M, March 2023
• Founded year: 2012
• Headcount: 11-50
• LinkedIn: mythic-ai

Mythic is an Austin, Texas-based technology company founded in 2012, specializing in AI computing solutions. The firm develops high-performance analog matrix processors tailored for edge AI applications. Their products are designed to meet the demands of industries such as robotics, smart homes, and aerospace, focusing on enhancing power efficiency and performance in AI inference. Mythic's innovative technology, particularly their analog compute-in-memory architecture, allows for real-time data processing while significantly reducing power consumption. The company has recently raised $13 million in funding, reflecting strong investor interest in their unique approach to AI chip manufacturing. With a team of experts in machine learning, software engineering, and processor architecture, Mythic is positioned to make a notable impact in the AI chip market.

3. Xilinx

• Website: xilinx.com
• Ownership type: Corporate
• Headquarters: San Jose, California, United States (USA)
• Employee distribution: United States (USA) 35%, India 28%, Singapore 11%, Other 26%
• Latest funding: $35.0B, October 2020
• Founded year: 1984
• Headcount: 1001-5000
• LinkedIn: xilinx

Xilinx, Inc., founded in 1984 and headquartered in San Jose, California, is a technology company that specializes in semiconductor solutions. The firm is particularly known for its programmable logic devices and FPGAs, which are critical components in modern electronic systems. Xilinx provides advanced software tools and AI solutions that empower businesses across various sectors to innovate and enhance their electronic systems. Their product offerings include the AI Engine API and the Vitis AI development platform, which facilitate the integration of AI capabilities into applications. With a workforce of approximately 1,911 employees, Xilinx operates globally, with significant presence in countries like India, Singapore, and China. The company has also received substantial funding, amounting to $35 billion, which underscores its financial backing and potential for growth in the semiconductor industry.

4. Hailo

• Website: hailo.ai
• Ownership type: Venture Capital
• Headquarters: Tel Aviv-Yafo, Tel Aviv, Israel
• Employee distribution: Israel 87%, Germany 3%, Japan 2%, Other 8%
• Latest funding: Series C, $120.0M, April 2024
• Founded year: 2017
• Headcount: 201-500
• LinkedIn: hailo-technologies

Hailo Technologies, founded in 2017 and based in Tel Aviv-Yafo, Israel, is an AI technology company that focuses on the design and manufacture of AI processors and accelerators tailored for edge devices. The company serves a variety of sectors, including automotive, security, and industrial automation, providing high-performance solutions that facilitate real-time data processing and analytics. Hailo's product lineup includes the Hailo-8 AI Accelerator, the Hailo-15 AI Vision Processor, and the Hailo-10H Generative AI Acceleration Module, all of which are engineered to enhance the capabilities of edge devices in applications such as autonomous vehicles and intelligent transportation systems. With a workforce of approximately 276 employees and a significant funding boost of $120 million in April 2024, Hailo is positioned to make a notable impact in the AI chip manufacturing industry.

5. Syntiant Corp.

• Website: syntiant.com
• Ownership type: Venture Capital
• Headquarters: Irvine, California, United States (USA)
• Employee distribution: United States (USA) 64%, Malaysia 15%, Switzerland 7%, Other 14%
• Latest funding: December 2024
• Founded year: 2017
• Headcount: 1001-5000
• LinkedIn: syntiant-corp

Syntiant Corp., founded in 2017 and based in Irvine, California, specializes in edge AI solutions. The company develops Neural Decision Processors and deep learning models that facilitate real-time data processing for a variety of applications, particularly in smart home devices and automotive systems. With a workforce of around 207 employees, Syntiant has established itself as a notable entity in the AI chip manufacturing sector. Their technology allows for efficient processing on devices that previously relied on cloud servers, significantly improving battery life and user experience. Syntiant's products are utilized by businesses in technology and manufacturing, showcasing their relevance in enhancing device intelligence. The company has received recognition for its innovative approach, including awards for its contributions to the field of AI.

6. Rebellions

• Website: rebellions.ai
• Ownership type: Private Equity
• Headquarters: Seoul, Seoul, South Korea
• Employee distribution: South Korea 99%, Other 1%
• Latest funding: Series B, $123.7M, January 2024
• Founded year: 2020
• Headcount: 201-500
• LinkedIn: rebellions-ai

Rebellions Inc., based in Seoul, South Korea, is an AI chip manufacturer that specializes in advanced semiconductor technology. Founded in 2020, the company has quickly made a name for itself by developing high-performance AI computation solutions tailored for the technology sector. Their flagship products, ATOM™ and ION™, are designed to meet the growing demand for efficient AI processing. Rebellions places a strong emphasis on energy efficiency and innovation in chip design, which is critical in today's market. The company has successfully secured over $200 million in funding, with their latest Series B round raising $124 million in January 2024. This financial backing, along with their strategic partnerships, positions Rebellions as a significant contender in the AI chip industry.

7. Imagination Technologies

• Website: imgtec.com
• Ownership type: Private
• Headquarters: Kings Langley, England, United Kingdom (UK)
• Founded year: 1985
• Headcount: 1001-5000
• LinkedIn: imgtec

Imagination Technologies, founded in 1985 and based in Kings Langley, England, is a private semiconductor and software design company. With a workforce of around 930 employees, the company specializes in creating graphics processing units (GPUs) and AI processing technologies. Their products are designed to enhance performance across a range of applications, including automotive, consumer electronics, and mobile devices. Imagination's PowerVR architecture has been instrumental in powering many well-known electronics products, providing advanced graphics and compute capabilities. The company is actively involved in the development of AI solutions, particularly for edge computing, where they address the challenges of running AI models on smaller, less powerful devices. Their focus on low-power, high-performance technologies positions them well in the evolving market of AI and compute solutions.

8. Gemesys

• Website: gemesys.tech
• Ownership type: Venture Capital
• Headquarters: Bochum, North Rhine-Westphalia, Germany
• Employee distribution: Germany 100%
• Latest funding: Pre-seed, $9.1M, November 2024
• Founded year: 2021
• Headcount: 1-10
• LinkedIn: gemesys-technologies

GEMESYS GmbH, founded in 2021 and based in Bochum, Germany, is a technology company dedicated to advancing AI hardware solutions. The firm specializes in designing innovative chips that emulate the human brain, aiming to significantly improve AI training and inference capabilities. Their target customers span various sectors that require sophisticated computing solutions to effectively leverage artificial intelligence. Recently, Gemesys secured pre-seed funding, which underscores investor confidence in their vision and potential. The company is driven by a purpose to democratize AI technology, aspiring to make efficient AI chips accessible to everyone, thus shaping a better future through advanced computing.

9. ThinkForce

• Website: think-force.com
• Ownership type: Private Equity
• Headquarters: Shanghai, Shanghai, China
• Employee distribution: China 100%
• Latest funding: Series A, $68.1M, December 2017
• Founded year: 2017
• Headcount: 51-200
• LinkedIn: think-force

ThinkForce, founded in 2017 and based in Shanghai, China, is a private equity-backed technology company that specializes in artificial intelligence and chip manufacturing. The firm develops high-performance processors and AI dedicated chips tailored for various sectors, including communication, finance, and transportation. Their products are designed to enhance operational efficiency and reduce costs for businesses that require advanced computing capabilities. ThinkForce's innovative approach combines advanced AI algorithms with intelligent hardware, providing comprehensive cloud and edge computing solutions. The company has a strong focus on research and development, supported by significant funding, and is staffed by experts in chip design, software algorithms, and system development. Their commitment to the industry is further demonstrated by their membership in the OpenPOWER Foundation and participation in major AI conferences, showcasing their technology and projects supported by national initiatives.

10. FuriosaAI

• Website: furiosa.ai
• Ownership type: Venture Capital
• Headquarters: Seoul, Seoul, South Korea
• Employee distribution: South Korea 91%, United States (USA) 6%, Other 3%
• Latest funding: $1.4M, February 2025
• Founded year: 2017
• Headcount: 51-200
• LinkedIn: furiosaai

FuriosaAI, founded in 2017 and headquartered in Seoul, South Korea, specializes in the design and production of AI chips. The company focuses on creating advanced AI accelerators that cater to the needs of large language models and computer vision applications. Their product lineup includes the Gen 1 Vision NPU, which is already in volume production, and the upcoming Gen 2 RNGD accelerator, aimed at enhancing performance for multimodal AI tasks. FuriosaAI is dedicated to providing a comprehensive developer experience through its SDK and model zoo, facilitating efficient deployment of AI solutions. The company has formed strategic partnerships with major industry players, including Samsung and Hugging Face, and has received funding to support its growth and innovation initiatives. With a workforce of around 128 employees, FuriosaAI is actively contributing to the global AI chip market.

11. Groq

• Website: groq.com
• Ownership type: Venture Capital
• Headquarters: Mountain View, California, United States (USA)
• Employee distribution: United States (USA) 75%, Canada 18%, Saudi Arabia 3%, Other 4%
• Latest funding: August 2024
• Founded year: 2016
• Headcount: 201-500
• LinkedIn: groq

Groq, Inc. is an AI technology company based in Mountain View, California, specializing in high-performance AI inference solutions. Founded in 2016, Groq has developed products like the GroqCloud™ Platform and GroqRack™ Cluster, which cater to developers and enterprises seeking efficient AI processing capabilities. Central to their offerings is the Language Processing Unit (LPU), designed to enhance the performance of AI workloads. Groq's technology aims to address the increasing demand for faster and more efficient processing in AI applications. The company has gained attention for its innovative hardware solutions and has recently achieved a valuation of $2.8 billion following a significant funding round. This financial backing reflects the growing interest in their products and the potential for further advancements in AI technology.

12. Flex Logix Technologies, Inc.

• Website: flex-logix.com
• Ownership type: Corporate
• Headquarters: Mountain View, California, United States (USA)
• Employee distribution: United States (USA) 100%
• Latest funding: November 2024
• Founded year: 2014
• Headcount: 51-200
• LinkedIn: flex-logix-technologies-inc-

Flex Logix Technologies, Inc., founded in 2014 and based in Mountain View, California, is a technology company that focuses on reconfigurable computing and AI solutions. The company offers products like the EFLX eFPGA, which allows for flexible integration of FPGA technology into system-on-chip (SoC) designs, and the InferX platform, which provides advanced AI processing capabilities. Flex Logix targets a variety of sectors, including automotive, aerospace, and cloud computing, aiming to meet the growing demand for efficient and adaptable computing solutions. With a team of experienced professionals and a portfolio of over 100 patents, Flex Logix is positioned to address the evolving needs of the semiconductor and AI industries.

13. GrAI Matter Labs

• Website: graimatterlabs.ai
• Ownership type: Venture Capital
• Headquarters: Paris, Île-De-France, France
• Employee distribution: Netherlands 53%, France 47%
• Latest funding: $14.0M, November 2020
• Founded year: 2016
• Headcount: 11-50
• LinkedIn: graimatterlabs

GrAI Matter Labs, founded in 2016 and based in Paris, France, is a technology company that specializes in artificial intelligence and edge computing. The firm is known for its innovative AI processors, including the GrAI One hardware development kit and the GrAI VIP edge AI processor. These products are aimed at improving the performance of consumer electronics and robotics, making them suitable for a variety of applications. GrAI Matter Labs has attracted significant investment, raising $14 million in its latest funding round, which underscores its potential in the AI chip market. The company operates with a vision of creating 'Life-Ready AI,' which emphasizes low latency and high efficiency in AI processing. Their technology is particularly relevant for industries looking to implement advanced AI capabilities in their products, such as automotive, healthcare, and consumer electronics.

14. IBM Canada Software Lab - Toronto

• Website: research.ibm.com
• Ownership type: Corporate
• Headquarters: United States (USA)
• Employee distribution: Canada 99%
• Latest funding: $1.5B, October 2014
• Founded year: 1986
• Headcount: 10001+
• LinkedIn: ibm-canada-software-lab---toronto

IBM Canada Software Lab - Toronto is a prominent research entity under IBM, established in 1986. It specializes in advancing computing technologies, with a strong emphasis on semiconductor research, artificial intelligence, and quantum computing. The lab is known for its innovative solutions that cater to various sectors, including business and academic institutions. IBM Research is actively engaged in developing next-generation AI chips, focusing on enhancing performance and efficiency for AI applications. Their work includes pioneering efforts in chip architecture and design, which are crucial for the evolving demands of AI workloads. The lab's commitment to research is underscored by its significant funding of $1.5 billion, which supports its extensive R&D initiatives and collaborations aimed at driving technological advancements in the semiconductor field.

15. Gyrfalcon Technology Inc.

• Website: gyrfalcontech.ai
• Ownership type: Private
• Headquarters: Milpitas, California, United States (USA)
• Employee distribution: United States (USA) 84%, China 16%
• Founded year: 2017
• Headcount: 51-200
• LinkedIn: gyrfalcon-technology-inc

Gyrfalcon Technology Inc., based in Milpitas, California, is a private technology company that specializes in AI hardware and development tools. Founded in 2017, the company has developed products such as the Lightspeeur neural accelerators and Plai Plug development hardware. These products are designed to help businesses and organizations enhance their AI capabilities, focusing on performance optimization and power efficiency. Gyrfalcon's solutions are applicable in various settings, from edge devices to cloud applications, indicating their versatility in the AI chip market. The company has a small team, with a significant portion of its workforce based in the United States, and it has not reported any funding to date. Their commitment to advancing AI technology positions them as a relevant player in the AI chip manufacturing industry.

16. Achronix Semiconductor Corporation

• Website: achronix.com
• Ownership type: Venture Capital
• Headquarters: Santa Clara, California, United States (USA)
• Employee distribution: United States (USA) 68%, India 26%, Germany 3%, Other 4%
• Latest funding: Other (Debt), $3.5M, April 2013
• Founded year: 2004
• Headcount: 51-200
• LinkedIn: achronix-semiconductor

Achronix Semiconductor Corporation, based in Santa Clara, California, is a fabless semiconductor company founded in 2004. The firm specializes in high-performance FPGA solutions, offering products such as Speedster7t FPGAs and VectorPath Accelerator Cards. These products are tailored for applications in automotive, artificial intelligence, machine learning, and networking, enhancing computational capabilities across various sectors. Achronix's Speedster7t FPGAs are built on TSMC's 7nm FinFET process and are designed to eliminate performance bottlenecks, making them particularly effective for high-bandwidth workloads. The company also provides Speedcore Embedded FPGA IP, which allows for the integration of programmable logic into custom-designed ASICs or SoCs. Achronix has received funding, with the last reported amount being approximately $3.5 million in 2013, indicating ongoing support for their innovative technologies.

17. SynSense

• Website: synsense.ai
• Ownership type: Venture Capital
• Headquarters: Ningbo, Zhejiang, China
• Employee distribution: Switzerland 76%, China 24%
• Latest funding: January 2025
• Founded year: 2017
• Headcount: 51-200
• LinkedIn: aictx

SynSense, founded in 2017 and based in Ningbo, Zhejiang, China, is a technology company that specializes in neuromorphic intelligence and application solutions. With a workforce of around 51-200 employees, the company has developed a range of innovative products, including chips and software tailored for applications in smart home technology, autonomous driving, and robotics. Their flagship products, the Speck™ and Xylo™ chips, are designed to deliver ultra-low power consumption and low latency, catering to the needs of industries that require efficient and intelligent processing. SynSense has also formed partnerships with various companies and academic institutions, enhancing its position in the AI chip manufacturing space. The company operates with a venture capital ownership model and has a significant presence in Switzerland, indicating a global reach in its operations.

18. Deepx

• Website: deepx.ai
• Ownership type: Private Equity
• Headquarters: Seongnam-Si, Gyeonggi-Do, South Korea
• Employee distribution: South Korea 92%, United States (USA) 8%
• Latest funding: Series C, $82.6M, February 2024
• Founded year: 2018
• Headcount: 51-200
• LinkedIn: deepx-corporation

Deepx, established in 2018 and based in Seongnam-Si, Gyeonggi-Do, South Korea, is a technology firm specializing in AI semiconductor solutions. The company develops advanced AI chips and software tailored for various applications, including physical security and robotics. With a workforce of around 74 employees, Deepx is focused on enabling efficient on-device AI processing, which is increasingly vital in a world with a growing number of IoT devices. Recently, Deepx secured $80 million in Series C funding, reflecting strong market confidence in their innovative approach. The company has also garnered attention for its technological advancements, holding 259 patents and receiving multiple awards, including recognition at CES 2024. Deepx aims to shape the future of AI integration into everyday technology, positioning itself as a significant player in the AI semiconductor sector.

19. EdgeCortix

• Website: edgecortix.com
• Ownership type: Venture Capital
• Headquarters: Chuo City, Tokyo, Japan
• Employee distribution: Japan 57%, India 16%, United States (USA) 14%, Other 12%
• Latest funding: Other (Grant), $25.9M, November 2024
• Founded year: 2019
• Headcount: 51-200
• LinkedIn: edgecortix

EdgeCortix, based in Chuo City, Tokyo, Japan, is a technology company that specializes in the development of energy-efficient AI processors and software solutions tailored for edge computing applications. Founded in 2019, the company has quickly made a name for itself with innovative products like the SAKURA-II AI Accelerator and the MERA Compiler. These products are designed to meet the growing demand for high-performance AI capabilities while minimizing energy consumption and operational costs. EdgeCortix targets various industries, including automotive, defense, robotics, smart cities, and smart manufacturing, reflecting a strategic approach to capitalize on the increasing integration of AI technologies across sectors. The company has also secured significant funding, with a recent amount of approximately $25.9 million, which underscores its potential for growth and innovation in the competitive AI chip market.

20. SiFive

• Website: sifive.com
• Ownership type: Venture Capital
• Headquarters: Santa Clara, California, United States (USA)
• Employee distribution: India 36%, United States (USA) 32%, Taiwan 21%, Other 11%
• Latest funding: Series E-K, $175.0M, March 2022
• Founded year: 2015
• Headcount: 501-1000
• LinkedIn: sifive

SiFive, Inc. is a semiconductor company based in Santa Clara, California, founded in 2015. The company specializes in RISC-V processors and silicon chips, offering a range of products that include core intellectual property (IP), development boards, and software solutions. SiFive's technology is aimed at enhancing performance across various sectors, including automotive, data centers, and consumer electronics. Their processors are particularly notable for their application in artificial intelligence and machine learning, with the SiFive Intelligence family designed to handle high-performance AI workloads. SiFive has garnered significant attention and investment, securing $175 million in Series E funding in March 2022. Their customer base includes major semiconductor manufacturers and technology companies, reflecting their active role in the industry.

21. SAPEON Inc.

• Website: sapeon.com
• Ownership type: Corporate
• Headquarters: Seongnam-Si, Gyeonggi-Do, South Korea
• Latest funding: June 2024
• Founded year: 2022
• Headcount: 51-200
• LinkedIn: sapeon

SAPEON Inc., based in Seongnam-Si, Gyeonggi-Do, South Korea, is an AI semiconductor company that focuses on creating advanced AI processors and software solutions tailored for data centers. Founded in 2022, SAPEON has quickly established itself in the AI chip market with products like the X330 and X220 processors. The X330, built on a 7nm process, offers significant computational power while maintaining low energy consumption, making it suitable for demanding AI workloads. The X220, recognized as South Korea's first AI processor for data centers, showcases impressive power efficiency despite its 28nm architecture. SAPEON's clientele primarily includes businesses in technology and telecommunications, indicating their strategic positioning in sectors that require robust AI processing capabilities. The company emphasizes not just hardware but also integrated software solutions, enhancing the overall user experience and deployment efficiency for AI applications.

22. Semron

• Website: semron.ai
• Ownership type: Venture Capital
• Headquarters: Dresden, Saxony, Germany
• Employee distribution: Germany 90%, Taiwan 10%
• Latest funding: Seed, $2.5M, February 2025
• Founded year: 2020
• Headcount: 11-50
• LinkedIn: semron-ai

Semron, based in Dresden, Germany, is a semiconductor manufacturer that focuses on the development of AI chips. Established in 2020, the company has quickly carved out a niche in the industry with its innovative CapRAM™ technology, which allows for high-density AI chip production. This technology is designed to enhance the performance of AI-driven devices while minimizing energy consumption and physical footprint. Semron's target market includes businesses and organizations in the technology sector looking to integrate advanced AI capabilities into their products. The company has recently secured 2.5 million euros in seed funding, reflecting strong investor interest in their approach to AI chip manufacturing. With a small team of around 20 employees, Semron is positioned to make significant strides in the semiconductor industry, particularly in the area of in-memory computing and analog chip design.

23. EnCharge AI

• Website: enchargeai.com
• Ownership type: Venture Capital
• Headquarters: Santa Clara, California, United States (USA)
• Employee distribution: United States (USA) 97%, Germany 3%
• Latest funding: Series B, $100.0M, February 2025
• Founded year: 2022
• Headcount: 11-50
• LinkedIn: encharge-ai

EnCharge AI, founded in 2022 and based in Santa Clara, California, specializes in advanced AI computing solutions. The company is dedicated to developing innovative hardware and software that leverage analog in-memory computing to improve efficiency and reduce costs for AI applications. Their technology is designed to meet the growing demands of AI at scale, providing significant advantages in performance and sustainability. EnCharge AI has attracted attention from various sectors, seeking to harness AI technology for enhanced performance. The company has formed partnerships and research collaborations, notably with Princeton University, to advance its technology. Recently, EnCharge AI raised $100 million in a Series B funding round, reflecting strong investor interest and confidence in their approach to AI chip manufacturing. With a team of experienced professionals from top tech companies, EnCharge AI is poised to make a substantial impact in the AI chip market.

24. Tenstorrent

• Website: tenstorrent.com
• Ownership type: Private Equity
• Headquarters: Toronto, Ontario, Canada
• Employee distribution: United States (USA) 53%, Canada 23%, Serbia 10%, Other 13%
• Latest funding: Series D, $693.0M, December 2024
• Founded year: 2016
• Headcount: 201-500
• LinkedIn: tenstorrent-inc.

Tenstorrent, founded in 2016 and based in Toronto, Ontario, is a technology company that focuses on AI and high-performance computing solutions. With a workforce of approximately 742 employees, the company has made significant strides in developing products tailored for developers and organizations that need robust computing capabilities. Their flagship offerings include the TT-QuietBox, a liquid-cooled desktop workstation, and the Tenstorrent Galaxy, which features advanced processors designed for AI workloads. Tenstorrent also actively contributes to the RISC-V open-source ecosystem, providing tools and resources that enhance compatibility and performance for AI applications. The company recently secured $693 million in Series D funding, reflecting strong investor interest and confidence in its innovative approach to AI chip technology.

25. Canaan Inc.

• Website: canaan-creative.com
• Ownership type: Private
• Headquarters: Beijing, Beijing, China
• Founded year: 2013
• Headcount: 201-500
• LinkedIn: %e5%98%89%e6%a5%a0%e8%80%98%e6%99%ba

Canaan Inc., founded in 2013 and based in Beijing, China, is a private semiconductor company that specializes in the design of ASIC chips and AI technology. The company has carved out a niche in the AI chip market by offering high-performance chips and developer kits tailored for businesses in technology and manufacturing sectors. Canaan's product lineup includes the K230 and K510 AI chips, which leverage RISC-V architecture to deliver impressive processing capabilities. These chips are designed for applications ranging from image and voice processing to advanced robotics and smart devices. Canaan's focus on operational efficiency and innovation in AI and blockchain applications highlights its role in the semiconductor industry, making it a notable player in the AI chip manufacturing space.

26. Netrasemi

• Website: netrasemi.com
• Ownership type: Venture Capital
• Headquarters: Thiruvananthapuram, Kerala, India
• Employee distribution: India 100%
• Latest funding: Seed, $1.2M, December 2024
• Founded year: 2020
• Headcount: 11-50
• LinkedIn: netrasemi

Netrasemi Pvt. Ltd., founded in 2020 and based in Thiruvananthapuram, Kerala, India, is a semiconductor technology firm focused on edge AI solutions. The company develops System-on-Chips (SoCs) and AI software frameworks designed to enhance Internet of Things (IoT) applications across various sectors, including surveillance, robotics, and smart infrastructure. Netrasemi's products are aimed at technology-driven businesses looking to integrate advanced AI capabilities into their offerings. With a team of experienced technologists, Netrasemi is committed to delivering domain-specific chips that optimize performance and power efficiency. The company has recently secured seed funding, amounting to over $1.1 million, which underscores its potential for growth and innovation in the semiconductor industry.

27. MemryX Inc.

• Website: memryx.com
• Ownership type: Private Equity
• Headquarters: Ann Arbor, Michigan, United States (USA)
• Employee distribution: United States (USA) 66%, Taiwan 26%, India 9%
• Latest funding: May 2025
• Founded year: 2019
• Headcount: 11-50
• LinkedIn: memryx-inc

MemryX Inc., based in Ann Arbor, Michigan, is a technology company that specializes in AI accelerators for edge devices. Founded in 2019, MemryX aims to enhance AI processing capabilities across various industries, including industrial automation, automotive, and IoT. Their flagship product, the MX3 Edge AI Accelerator, is designed to optimize AI model performance without overloading the host processor. The company employs a unique architecture that eliminates data movement bottlenecks, allowing for efficient processing. MemryX's solutions are particularly relevant in today's market, where the demand for high-performance, low-latency AI processing is growing. With a small but dedicated team, MemryX is positioned to make significant contributions to the AI chip manufacturing industry.

28. Ceremorphic, Inc.

• Website: ceremorphic.com
• Ownership type: Venture Capital
• Headquarters: San Jose, California, United States (USA)
• Employee distribution: India 95%, United States (USA) 5%
• Latest funding: Series A, $50.0M, January 2022
• Founded year: 2020
• Headcount: 51-200
• LinkedIn: newsfromceremorphic

Ceremorphic, Inc., founded in 2020 and based in San Jose, California, is a technology company that focuses on sustainable compute infrastructure and advanced computing solutions. With a workforce of around 121 employees, the company has carved out a niche in AI supercomputing and drug design technology. Ceremorphic's architecture is designed to meet the growing demands for energy-efficient and reliable computing, particularly in sectors such as life sciences, automotive, and technology. Their innovative products, including the DATACENTER-IN-BOX™ and BioCompDiscoverX™, leverage cutting-edge 3nm process technology and aim to transform high-performance AI training and drug discovery processes. The company has attracted substantial venture capital funding, with a Series A round raising $50 million in early 2022, underscoring its potential in the competitive landscape of AI chip manufacturing.

AI Chip Manufacturing Insights: Key Companies

Company	Headquarter	Size	Founded	Ownership
Graphcore	Bristol, England, United Kingdom (UK)	501-1000	2016	Corporate
Mythic	Austin, Texas, United States (USA)	11-50	2012	Venture Capital
Xilinx	San Jose, California, United States (USA)	1001-5000	1984	Corporate
Hailo	Tel Aviv-Yafo, Tel Aviv, Israel	201-500	2017	Venture Capital
Syntiant Corp.	Irvine, California, United States (USA)	1001-5000	2017	Venture Capital
Rebellions	Seoul, Seoul, South Korea	201-500	2020	Private Equity
Imagination Technologies	Kings Langley, England, United Kingdom (UK)	1001-5000	1985	Private
Gemesys	Bochum, North Rhine-Westphalia, Germany	1-10	2021	Venture Capital
ThinkForce	Shanghai, Shanghai, China	51-200	2017	Private Equity
FuriosaAI	Seoul, Seoul, South Korea	51-200	2017	Venture Capital
Groq	Mountain View, California, United States (USA)	201-500	2016	Venture Capital
Flex Logix Technologies, Inc.	Mountain View, California, United States (USA)	51-200	2014	Corporate
GrAI Matter Labs	Paris, Île-De-France, France	11-50	2016	Venture Capital
IBM Canada Software Lab - Toronto	United States (USA)	10001+	1986	Corporate
Gyrfalcon Technology Inc.	Milpitas, California, United States (USA)	51-200	2017	Private
Achronix Semiconductor Corporation	Santa Clara, California, United States (USA)	51-200	2004	Venture Capital
SynSense	Ningbo, Zhejiang, China	51-200	2017	Venture Capital
Deepx	Seongnam-Si, Gyeonggi-Do, South Korea	51-200	2018	Private Equity
EdgeCortix	Chuo City, Tokyo, Japan	51-200	2019	Venture Capital
SiFive	Santa Clara, California, United States (USA)	501-1000	2015	Venture Capital
SAPEON Inc.	Seongnam-Si, Gyeonggi-Do, South Korea	51-200	2022	Corporate
Semron	Dresden, Saxony, Germany	11-50	2020	Venture Capital
EnCharge AI	Santa Clara, California, United States (USA)	11-50	2022	Venture Capital
Tenstorrent	Toronto, Ontario, Canada	201-500	2016	Private Equity
Canaan Inc.	Beijing, Beijing, China	201-500	2013	Private
Netrasemi	Thiruvananthapuram, Kerala, India	11-50	2020	Venture Capital
MemryX Inc.	Ann Arbor, Michigan, United States (USA)	11-50	2019	Private Equity
Ceremorphic, Inc.	San Jose, California, United States (USA)	51-200	2020	Venture Capital

Want to Find More AI Chip Manufacturing Companies?

If you want to find more companies that produce advanced processors for machine learning and data analytics you can do so with Inven. This list was built with Inven and there are hundreds of companies like these globally.

With Inven you'll also get to know the company's:

• Detailed Ownership: Who owns the company? Is it a public or private company? What is the ownership structure?
• Contact data: Who are the founders and CEO's? What are their emails and phone numbers?
• Financials: How do these companies perform financially? What are their revenues and profit margins?

...and a lot more!