Expert Systems in The Age of Reasoning

10,000+ tokens per second,
on CPU-only machines,
with reasoning you can trust.

Hallucination-free by design.

01
The interface

The reasoning stream is a rendering layer.

Give a deterministic engine the same interface as an LLM and the experience is indistinguishable, tool calls, streaming output, a full reasoning trace. What changes: 10–100× faster. Structurally incapable of hallucinating.

02
The economics

Token costs collapse to near zero.

LLM costs rise with every call. Deterministic agents output instantly, no per-token charges, no latency spikes, no budget surprises. At production scale, that gap is measured in orders of magnitude.

03
The SDK

Build your own agents.

All our agents are open-source, readable, forkable, and annotatable. The SDK handles structured tool dispatch, streaming output, typed I/O, and reproducible traces. You bring the domain logic.

Run the numbers

How much are you paying to wait?

Monthly token usage: 250M tokens

* Estimated using an employee hourly rate of $25 / hour.

The founding letter

We had deterministic AI in the 1980s.
It just needed the 2024-era interface.