Because AI agents don't
have an undo button.
We built a governance pipeline that sits between AI agent intent and execution — evaluating, deliberating, and auditing every consequential action before it fires. Sub-100ms for routine actions.
Five stages. One decision.
Intent Declaration
Agent declares intended action
Context Enrichment
System discovers missing context
Policy Evaluation
Four-tier policy hierarchy applied
Multi-Agent Deliberation
Risk debate via specialized panels
Decision + Audit
Hash-chained, immutable audit record
Intent Declaration
Agent declares intended action
Context Enrichment
System discovers missing context
Policy Evaluation
Four-tier policy hierarchy applied
Multi-Agent Deliberation
Risk debate via specialized panels
Decision + Audit
Hash-chained, immutable audit record
Everything agents need to behave.
Bidirectional Governance
Outbound agent control + inbound protection
Trust Tiers
Registered, Verified, Certified credentialing
Shadow Mode
Observe without enforcement
21 Native Connectors
Twilio, Salesforce, Stripe, GitHub, Okta, Slack & more
SDK Support
Python, TypeScript, Java
Framework Plugins
LangChain, AutoGen, CrewAI
Built on first principles.
The agent is not the governor
Architectural separation of concerns
Fail-Safe Design
Blocks rather than silently passes on governance failure
Risk-Proportional Speed
Sub-100ms routine; up to 10 seconds for deliberation
Complete Auditability
Hash-chained, immutable records with full reasoning chains