Industrials / Automotive

Automotive AI Chips

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What is Automotive AI Chips?

As autonomous vehicles (AVs) move up the scale of autonomy, navigation requires more computational power. Startups in this market are developing AI processing chips and other hardware to provide edge computing with minimal latency for autonomous vehicles.

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Leaders

Leaders are the most established service providers in the market and possess the breadth to address various customer needs.

See why these companies made it as leaders for Automotive AI Chips. These companies include Horizon Robotics and Black Sesame Technologies.

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Horizon Robotics

China / Founded Year: 2015

Horizon Robotics is an artificial intelligence computing platform integrating algorithm, processor design, software, and hardware capabilities. The company envisions every device to become an intelligent entity, providing solutions for processor design, high-performance cloud computing, parallel computing, face recognition, and voice semantic recognition. The company brings large-scale cloud-based deep neural network algorithms onto high-performance and low-power Brain Processing Units (BPUs).

Known Partners

BYD Company, MINIEYE, Robosense, and 2 more

Key People

Kai Yu, Liming Chen, Zhitai Zheng

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Black Sesame Technologies

China / Founded Year: 2016

Black Sesame Technologies (BST) is a startup that focuses on image processing, perception algorithm, and SOC design. With its SOC computing platform, BST provides customized ADAS / AD solutions to automobile companies.

Known Customers

FAW Group

Key People

Jizhang Shan, Weihong Liu

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SemiDrive

China / Founded Year: 2018

SemiDrive is an auto self-driving chip developer.

Known Partners

Neusoft

Key People

Yujing Qiu

Highfliers

Highfliers are the most innovative service providers in the market and possess the resources to address evolving customer needs.

See why these companies made it as highfliers for Automotive AI Chips. These companies include .

Outperformers

Outperformers are the most specialized service providers in the market and possess the expertise to address unique customer needs.

See why these companies made it as outperformers for Automotive AI Chips. These companies include Recogni.

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Recogni

United States / Founded Year: 2017

Recogni is designing a vision-oriented artificial intelligence system. The system will deliver inference performance through edge processing, allowing vehicles to see farther and make driving decisions faster than humans while consuming minimal amounts of energy.

Key People

Ashwini Choudhary, Gilles Backhus, Nicholas Brathwaite, and 2 more

Challengers

Challengers are the most promising service providers in the market and possess the agility to address emerging customer needs.

See why these companies made it as challengers for Automotive AI Chips. These companies include Kneron.

Kneron logo
Kneron

United States / Founded Year: 2015

Kneron focuses on the design and development of integrated software and hardware on-device edge artificial intelligence (AI) solutions for smart homes, smart surveillance, smartphones, robots, drones, and IoT devices. Its solutions include AI System-on-Chips (SoCs), visual recognition SDKs, and neural processing unit (NPU) IP. Kneron's vision is to empower AI on everyday devices and build the edge AI net.

Key People

Kangli Hao, Frank Chang, Albert Liu, and 1 more

What is Automotive AI Chips?

As autonomous vehicles (AVs) move up the scale of autonomy, navigation requires more computational power. Startups in this market are developing AI processing chips and other hardware to provide edge computing with minimal latency for autonomous vehicles.

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Your future customers are researching their next tech solution on CB Insights. Make sure they can find you.

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