Xinyuan Semiconductor (Shanghai)

Xinyuan Semiconductor (Shanghai)

Resistive random access memory (ReRAM) semiconductor developer.

HQ location
Huangpu, China
Launch date
Employees
Enterprise value
$400—600m
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Series B
Total Funding000k
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Xinyuan Semiconductor (Shanghai), also known as Innostar Semiconductor, is a developer of new semiconductor storage technology focused on commercializing resistive random access memory (ReRAM) semiconductors. The company was founded in 2019 and is headquartered in Shanghai, China. While specific founder names are not publicly detailed, the company is managed by a team with extensive experience from well-known domestic and international semiconductor firms, covering process technology, chip design, IP licensing, and factory operations.

Innostar is recognized as a key player in China's ReRAM development, utilizing a 28-nm process for its memory chips. The firm's products are engineered to deliver high performance and low power consumption, targeting industries such as information security, the Internet of Things (IoT), artificial intelligence (AI), and cloud computing. The company operates on a fab-lite model, using its own pilot production line to refine core processes and accelerate the development and commercialization of its new storage technologies. Its main product applications fall into three categories: AI computing-in-memory (CIM) IP and solutions, system-on-memory (SoM) chips, and advanced process embedded ReRAM.

The company has secured significant funding through multiple rounds. This includes a seed round in April 2020, followed by a $100 million Pre-A round in April 2021. It has continued to attract capital through various early and later-stage venture rounds into 2024. Notable investors include Aramco Ventures, CETC Fund, and ByteDance. In March 2024, ByteDance acquired a significant stake in InnoStar, reportedly aiming to integrate its ReRAM technology into future VR headset products.

Keywords: ReRAM, resistive random access memory, semiconductor, memory chips, computing-in-memory, embedded memory, system-on-memory, IoT, AI, cloud computing, non-volatile memory, semiconductor design, fab-lite, advanced manufacturing, information security, data storage, 28-nm process, venture capital, Shanghai

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