Building AI agents that work through scientific rigor and controlled chaos.
We run experiments with autonomous AI agents — building them to fill real competency and skill gaps, not just demo capabilities. Each agent is designed with intention, tested with rigor, and iterated until it works or breaks.
Hypothesis-driven development, measured outcomes, documented failures.
Each agent has a specific role and clear boundaries.
Where rigor doesn't reach, we experiment until things work or break.