AI Proposes. A Deterministic Core Disposes.

Raptor is a governance layer for AI systems built for DoD and DISA environments. Every response carries trust boundaries, passes confirmation gates, and is traceable to its source — classified, hash-chained, and auditable by design.

The Governance Lifecycle

Every request passes through five deterministic stages. The AI generates content. Everything else — classification, enforcement, trust marking, and hash-chaining — is rules-based and auditable.

1. Classify

Deterministic pattern matching assigns intent: respond, ask, propose action, or execute confirmed action.

2. Enforce

Middleware checks capabilities, policies, budgets, rate limits, and suspension status.

3. Propose

AI generates content in a sandboxed proposal layer. It cannot commit or execute.

4. Commit

Deterministic layer validates, assigns trust boundaries, hashes, and chains to prior event.

5. Deliver

Committed, classified, hash-chained response reaches the user. Fully replayable.

Trust Model

Five Trust Boundaries

Every segment of every response is tagged with its epistemic status. The weakest boundary in a response dominates the response-level classification. No ambiguity about what's verified and what isn't.

  • CONFIRMED: Verified against authoritative source
  • EXECUTED: Action ran with recorded result
  • RETRIEVED: Fetched from system of record
  • INFERRED: High-confidence inference, not verified
  • UNCERTAIN: Limited evidence available

Capabilities

What Makes Raptor Different

Observability logs after the fact. Evals test capability. Raptor governs what's permitted to happen — deterministically, before it reaches the user.

Immutable

Hash-Chained Audit

SHA-256 hash chain across 11 append-only Postgres tables. Database-level triggers prevent UPDATE and DELETE — not application-level protection. Standalone verification without system access.

Deterministic

Proposal / Commit Split

Hard architectural separation: AI proposes, deterministic core commits. Prevents prompt injection reaching execution, hallucination reaching operations, and unaudited side effects.

Confirmation Gates

Human Authority

Actions require explicit human confirmation before execution. The governance layer does not use AI to make governance decisions. AI generates content — everything else is rules-based.

Multi-Provider

4 AI Providers Unified

Anthropic, OpenAI, Gemini, Together AI. Switching providers does not change governance, trust boundaries, or audit chain. Health monitoring with circuit breaker and auto-failover.

Signed

Ed25519 Policy Engine

Cryptographically signed, versioned, append-only governance policies. Enforced or permissive modes. Visual policy editor with form-based rule builder and one-click sign + activate.

Isolated

Multi-Tenant Isolation

PostgreSQL RLS on 30 tables with FORCE ROW LEVEL SECURITY — database-level, not application-level. Three roles: Owner, Admin, Member. Identity via Clerk SSO.

Compliance

Regulatory Alignment

Built for the regulatory frameworks that govern AI in DoD and DISA environments.

  • OMB M-25-21
  • EU AI Act (Articles 9–17)
  • SR 11-7
  • HIPAA
  • IL4 / IL5
  • GDPR
  • CCPA
  • SDVOSB Certified

Pricing

Simple, Usage-Based Pricing

Pay for governed responses. Provider cost pass-through plus a governance fee. No seats, no tiers, no surprises.

Infrastructure

API / SDK / MCP

$0.012/ governed response

Plus provider cost + 10%. $10 minimum credit purchase. No expiration.

  • Full governance lifecycle per response
  • Hash-chained audit trail included
  • All 4 AI providers available
  • 32 REST API routes + TypeScript SDK

Workspace

14-Day Trial

Free

  • 500 governed responses, 1 seat. Full governance lifecycle. No credit card required.

  • Full product access — no feature gating

  • Trust boundaries, audit trail, policies

  • Team plans from $250/mo after trial

  • Design Partner program available

Governed AI Infrastructure

Ready to Govern Your AI?

Start a 14-day trial or send us your questions, comments, and concerns.