Small device,
large brain

Implementation of artificial intelligence at the ‘edge’ (edge AI) is the use of AI techniques in products and devices at the edge of our connectivity networks, or even stand alone.

These applications, which often have severe power constraints because of their physical location, require vast amounts of local memory or a low-latency, high bandwidth connection to the cloud

Flash…
arrrrgh!

Flash is the non-volatile memory (NVM) technology we use almost exclusively today, but we need something better. Flash limits innovation where we need it most – low-power computing and AI

We get rid of the bottleneck

Intrinsic’s technology meets a pressing need. We can put efficient non-volatile memory directly on advanced processor chips, revolutionising next-generation microcontrollers and edge processors

Direct integration

Our technology exploits silicon dioxide – one of the most microelectronics-friendly materials there is. We use industry-standard fabrication and simple processes. CMOS-compatibility is one of our core values and strengths

Low power consumption

Direct integration enabled by our silicon oxide devices reduces power consumption by orders of magnitude compared to external Flash whilst offering vastly superior performance

Low cost

Simple materials, simple design and CMOS compatibility make our technology low cost, yet high performance

Secure

The more computing power we can integrate into microcontrollers and edge processors, the less they need to communicate with the Cloud. That means less danger of data being intercepted