Redefining Computing:
Mirroring the Physical World

The conventional computing paradigm is facing a sustainability crisis, threatened by the looming realities of future AI models: skyrocketing costs, slow processing speeds, and high power consumption, all of which challenge its future viability.
 

Over a decade ago, our team laid the foundations for the probabilistic computing paradigm with p-bits. By harnessing natural randomness, we've simplified large circuits into fewer devices, enabling unprecedented parallelism. This breakthrough allows us to embed real-world models into autonomous, intelligent hardware, delivering significantly higher throughput, speed, and efficiency than conventional hardware.
 

With decades of expertise in alternative computing and the semiconductor industry, our team includes a distinguished member of the National Academy of Engineering (NAE). We are visionaries and executors, turning innovative concepts into milestones acknowledged by premier institutions.