AI engineering
Models with a purpose
We design AI systems around the task they actually have to do, not around a benchmark. Tool calls, planning loops, evaluation harnesses, and the boring orchestration that makes them reliable in production.
- Multi-agent loops with deterministic evaluation
- Type-safe tool surfaces with end-to-end inference
- Prompt cache + context budgets baked in from day one

