STRUCTURAL ENFORCEMENT
Deterministic governance for every message your AI touches.
No LLM in the engine. No probabilistic output. Span-level traceability. Same input, same output. Every time.
43 signals
~3ms response
Versioned
Auditable
No model dependency
49% → 7%
False commitment rate
63%
Token cost reduction
413
Fortune 500 scored
0
LLM calls in engine
Pipeline Architecture
Human
→
V1 Score
→
LLM
→
V3 Stabilize
→
Human
Everyone has typed "per my last email." It has never once meant what it says. Not once. The engine knows why.
tap "per my last email" ↓
"Per my last email" is passive aggression disguised as professionalism. It positions the sender as already-correct and the reader as negligent. The engine detects this as PASSIVE_AGGRESSION and DOMINANCE_ASSERTION — relational friction in five words. That's what structural enforcement does. It finds the words that break things before they leave the screen.
Enterprise Integration Points
SECURITY
Pre-LLM prompt firewallSECURITY
Post-LLM output validatorLEGAL
Contract drift detectionHEALTHCARE
Clinical note integritySALES
Commitment guardrailsINSURANCE
Claim narrative riskCOMPLIANCE
Policy draft scoringAI/AGENTS
Agent tool-use gateDesigned to sit before and after model calls. No integration required to try it.