Near-silicon inference.
We push AI inference closer to the physical limit of GPUs, with a self-improving agent swarm and expert tuning.
Current results
1.0×SGLang recipe
2.9×revenue on Kimi K3
5.7×revenue on GLM-5.3-flash
vs the SGLang recipe, with 45 hours of optimization, and growing
How
Self-improving agent swarm. Expert tuning.
Hardware agnostic. Model agnostic.
Why
Squeeze more compute out of every chip.
AI models run on GPUs and accelerators. Their supply is physically limited; demand keeps rising exponentially.
Mission