Intelligence you can put on the record.

The deterministic AI engine for regulated institutions.
Architected to the AP-1 numerical admissibility standard.

Sovereign·Auditable·Admissible
ENTRY 0001 ·  9F3A    C17B

The model interprets. It never computes a consequential figure, and it never releases one it did not receive from code.

Computed, traceable, reproducible, refusable. Every consequential figure carries the record of how it was derived.

Authority is granted in stages. Never assumed.

ENTRY 0002 ·  C17B   44E0

Built on NVIDIA Nemotron. Built to run entirely inside the institution's perimeter —data, weights, and decisions never leave.

For environments where a wrong answer is an event, not an error.

An open standard for numerical admissibility. ZORRZ is the author of AP-1 — The Admissibility Protocol — the open standard for measuring generative origination, deterministic invocation and operand provenance in AI systems.

AP-1 v1.3 is open for public comment until 30 September 2026. Every comment is dispositioned in public before adoption.

READ THE AP-1 SPECIFICATION

Further detail is disclosed in briefings — held under NDA for institutions, partners, and investors.