Ambient Scientific is a fabless semiconductor company born in Silicon Valley, pioneering ultra-low power AI processors that are fully programmable to enable endless AI applications.
Its breakthrough Analog In-Memory Compute technology called DigAn is making AI computing more powerful and efficient than ever before, without compromising on flexibility and programmability. Compared to traditional AI hardware, its processors deliver thousands of times more AI performance at the same power consumption or thousands of times less power consumption for the same AI performance.
Its first product GPX10 leverages the DigAn architecture to bring battery-powered, cloud-free, on-device AI applications to life, something considered nearly impossible before. From always-on voice detection to FaceID to predictive maintenance, GPX10 is enabling endless applications in various industries, all while running on as little as a coin cell battery with no dependence on the cloud or an internet connection.
With a full stack SDK designed to support industry standard AI frameworks (Tensorflow, Keras, etc.) and an AI compiler to enable custom neural networks, the company enables rapid time to market for AI applications.
Ambient Scientific's Sparsh AI Module is powered by a coin-cell battery and can be used for predictive maintenance, wearables, and much more without compromising performance.
