Platform

Governance you can
run in production.

Every capability is designed for stateful, multi-turn agents operating under regulatory scrutiny.

Define governance as code — immutable kernels, perspective-specific identities, and behavioral probe sets for every AI interaction.

L1 embedding divergence in milliseconds, L2 fine-tuned governance judge for nuance, L3 deep assessment for high-stakes decisions.

Three-stage pipeline (Precheck → Check → Correction) with rewrite, escalate, remediate, or block — under 400ms SLA.

Policy Review Lane (shadow mode, team endorsement) and Runtime Review Lane (real-time approve/reject with structured rationale).

Single executive metric (0–100) combining guard coverage, alert health, review status, and drift trends.

Tamper-evident HMAC chain with version binding — export SOC 2, HIPAA, or audit-ready reports in one click.

Interactive non-production environment for testing governance logic, modifying inputs, and exporting audit-ready JSON.

Evaluation

Three layers,
escalating depth.

Cost and latency scale with stakes — most traffic never leaves layer one.

Embedding-based comparison against kernel commitments in milliseconds. (TG-Sentinel:Embedding)

Fine-tuned governance judge (4B) for nuance and context — sub-100ms latency.

Deep assessment (9B/27B) for high-stakes decisions and edge cases.