Govern AI outputs in production — safely, auditably, and with physics-backed evidence.
X-40™ sits above LLM and ML outputs and returns a policy decision: ACCEPT or REQUIRE_VERIFICATION. It produces integrity + drift indices, reason codes, and optional structural evidence.
Powered by QEIv15™ — NeoAmorfic’s physics kernel that computes structural anchors (Φ, κ, ΔS families) from time-series and trace telemetry to support dual-evidence governance.
X-40 combines behavioral traces (uncertainty / margin dynamics) with an independent evidence channel (QEIv15™ structural anchors via ResearchCore) to reduce single-signal failure modes.
Deploy as a gateway, sidecar, or on-prem container. Operate without storing user content while keeping audit-grade outputs (indices, reason codes, hashes).
Enforces non-negotiable rules for known failure modes: prompt-injection handling, unknowns enforcement, and deterministic math verification.
Published benchmark protocol + reproducibility capsule. We report an operational safety metric: Shipped Error Rate (Wrong+Accepted) — incorrect outputs that were accepted and shipped.
Teams shipping AI in high-stakes workflows: legal/compliance copilots, finance research tools, enterprise support automation, and ML pipelines where silent drift is expensive.