Engineering Compute
for every AI system.

We are a small team of kernel engineers and systems researchers. We build the software that unlocks the performance already inside every chip.

Results

Long context, 2.37× faster.

Qwen3.8-27B on one RTX PRO 6000 Blackwell. Time to first token at 256K.

Ampere1.60×
Hopper1.54×
Blackwell2.37×
Data and kernels on GitHub →

One kernel, 4.25× faster.

Than cuDNN, in 13 rounds for about $1. No manual tuning.

Run log on GitHub →
The engineering loop

Every kernel is a bespoke engineering project.

Profiling, rewriting and validating, for weeks, on each chip.

KAI scales the engineer.

The same loop, run autonomously across models and chips.

Where KAI runs

Your models, on your hardware.

The latest open-weight models, across the accelerators you already run.

Models
Hardware
Production-ready Supported