Faster processors for solving NP-complete problems
NP-complete optimization tasks like scheduling and packing are too slow and costly to solve on conventional computing hardware.
They build specialized processors optimized for the memory access patterns of NP-complete problems to accelerate these computations by 100x–10,000x.
Enterprises and organizations running large-scale combinatorial optimization workloads (e.g., airlines, logistics and shipping operators).
Founder, CEO at Integrated Reasoning


