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SiMa.ai以14.5亿美元估值融资1.5亿美元,用于物理AI芯片SiMa.ai raises $150m at a $1.45bn valuation for physical AI chips

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SiMa.ai周一宣布,该公司在C轮融资中筹集了1.5亿美元,估值达到14.5亿美元。这家位于圣何塞的初创公司制造芯片和软件,让机器人、无人机和汽车能在设备端直接运行AI。

SiMa.ai has raised $150m in a Series C round that values the company at $1.45bn, it announced on Monday. The San Jose startup makes chips and software that let robots, drones and cars run AI on the device itself.

Fidelity Management & Research Company和Amplify共同领投了这一轮融资。Alter Venture Partners、Dell Technologies Capital、Maverick Capital、+ND Capital、Point72和StepStone Group也参与了投资。AllianceBernstein、Baron Capital、J.P. Morgan和密歇根州政府作为新投资者加入。

Fidelity Management & Research Company and Amplify co-led the round. Alter Venture Partners, Dell Technologies Capital, Maverick Capital, +ND Capital, Point72 and StepStone Group also took part. AllianceBernstein, Baron Capital, J.P. Morgan and the State of Michigan joined as new investors. The round takes SiMa.ai’s total funding to $500m. It was valued at $960m after an $85m Series B in July 2025, TechCrunch reported, citing PitchBook data.

这一轮融资使SiMa.ai的总融资额达到5亿美元。据TechCrunch援引PitchBook数据报道,该公司在2025年7月完成8500万美元B轮融资后估值为9.6亿美元。作为英伟达的低功耗竞争对手SiMa.ai将其芯片定位为英伟达GPU在所谓“物理AI”领域的更廉价、更低功耗替代方案:即能在现实世界中感知和行动的机器。该公司称其平台将部署时间从数月缩短至数天或数小时。

A lower-power rival to Nvidia SiMa.ai pitches its chips as a cheaper, lower-power option to Nvidia’s GPUs for what it calls physical AI: machines that sense and act in the real world. The company says its platform cuts deployment time from months to days or hours. “While others are still figuring out the pieces or repurposing their cloud offerings, we’ve built the entire puzzle,” said Krishna Rangasayee, SiMa.ai’s founder and chief executive.

“当其他公司还在摸索拼图碎片或重新利用其云端产品时,我们已经构建了完整的拼图,”SiMa.ai创始人兼首席执行官Krishna Rangasayee表示。

Rangasayee founded the company in 2018. He was previously chief operating officer of chipmaker Groq, TechCrunch reported.

据TechCrunch报道,Rangasayee于2018年创立了该公司,此前曾担任芯片制造商Groq的首席运营官。资金用途这笔资金将用于扩展Palette Neat,即SiMa.ai面向开发者的智能体软件环境。同时也将用于支付预计于2028年上半年推出的新硬件开发,SiMa.ai称该硬件将提供1000密集TOPS的算力。TOPS(每秒万亿次操作)是衡量AI芯片性能的常用指标。

What the money is for The funding will scale Palette Neat, SiMa.ai’s agentic software environment for developers. It will also pay for new hardware due in the first half of 2028, which SiMa.ai says will deliver 1,000 dense TOPS of compute. TOPS, or trillions of operations per second, is a common measure of AI chip performance.

新产品将包括机器学习IP、芯粒和片上系统。SiMa.ai计划瞄准无人机、人形机器人、驾驶辅助系统和AI驱动的智能座舱。

The new products will include machine learning IP, chiplets and systems-on-chip. SiMa.ai plans to target drones, humanoid robots, driver assistance systems and AI-powered car cockpits.

该公司表示,其收入在2024年至2025年间同比增长了四倍。但未披露具体收入数字。客户和合作伙伴包括博世、艾默生、美光、新思科技和通快。

The company says its revenue growth quadrupled year on year between 2024 and 2025. It did not disclose revenue figures. Customers and partners include Bosch, Emerson, Micron, Synopsys and TRUMPF.

今年,边缘 AI 芯片领域吸引了其他交易。Analog Devices 同意斥资 13.5 亿美元收购边缘 AI 芯片制造商 Alif,而 NEURA 和 SECO 计划在欧洲打造机器人计算模组。

Chips for AI at the edge have drawn other deals this year. Analog Devices agreed to pay $1.35bn for edge AI chipmaker Alif, and NEURA and SECO plan to build robot compute modules in Europe.