About Recogni
Recogni began as a developer of AI chips for vision tasks such as automotive perception, and in September 2025 it renamed itself Tensordyne. The company now targets generative AI inference, meaning running trained models to answer requests. Its approach uses a logarithmic number system, which turns multiplications into additions, since a multiply costs far more silicon area and energy than an add. Tensordyne says its first chip is built on TSMC 3nm and co-designed with Broadcom. Reuters describes it as based in Sunnyvale, California, while the record lists San Jose.
Recogni was founded in 2017 and is based in San Jose, CA, United States. It is listed under AI Accelerators, Edge Computing. Reported funding is $102M Series C.
Compute Technologies
- AI Accelerators
- Edge Computing
What Recogni works on
AI Accelerators
An AI accelerator is a chip, or a part of a chip, designed to run machine learning faster or with less energy than a general-purpose processor. The category includes GPUs, TPUs, neural processing units (NPUs) and chips from many startups.
Edge Computing
Edge computing means processing data close to where it is produced, on a device or a nearby server, instead of sending everything to a distant cloud data center. In chip terms, edge processors are small, low-power chips that run software and AI models inside phones, cameras, cars and sensors.
Also in United States
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