Inference
We design acceleration systems that make every model response faster and more efficient.
We investigate how far intelligence can go when every token, watt, and millisecond matters.
We design acceleration systems that make every model response faster and more efficient.
We study how capable intelligence can run on phones, laptops, and the devices people already own.
We build structured context that keeps information useful while reducing wasted tokens and computation.
We evaluate latency, throughput, energy, and reliability where AI actually gets used.
A foundational inference acceleration architecture for Mythos — built as a high-performance alternative to brute-force AI infrastructure.
A deterministic context engine for dense, dependable workflows that waste less context and keep the right information in reach.
FROST and TR99 are the first two research directions in a larger effort to make AI more capable on less infrastructure. More work is on the way.
More soon.