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The Technology

What the platform actually does at the boundary.

The demo of the In-Flight Gate stopping a valid-but-stale action, followed by what the platform does, organized by capability family.

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The Money Demo

Watch a valid action get stopped in flight.

A deploy action is approved at 9:00:00 AM. State changes at 9:08. The In-Flight Gate re-checks the action against live state and refuses it before it ships.

STANDARD AI GOVERNANCE
09:00:00 action_issued: deploy payment-service v2.3.1
09:00:01 ✓ validity_check: passed
09:00:02 approval_granted, queued
09:00:03 ... 8 minutes pass ...
09:08:14 ⚠ external: CVE-2026-3017 disclosed
09:08:42 ... no re-check happens ...
09:08:42 ✗ deployed: CVE now in production
Result: vulnerability shipped. Audit will reveal it post-incident.
THE SPECOPS PATTERN
09:00:00 deploy payment-service v2.3.1 · approval requested
09:00:01 ✓ approval granted
09:00:02 queued for execution
09:00:03 ... 8 minutes pass ...
09:08:14 ⚠ OVERWATCH: CVE-2026-3017 detected · live state changed
09:08:42 → In-Flight Gate re-checks against live state
State changed since approval.
09:08:42 ✓ Action blocked before it shipped.
Result: vulnerability never ships. Immutable audit record produced.
The platform re-decides at the boundary. Two tools wired together cannot produce this, the emergence requires the triangular topology.
The Patent Backbone

Ten provisional patents, organized by what they protect.

Four capability families across detection, governance, foundation, and workflow. The platform sits where the patents converge.

Detection

Continuous compliance-aware observation across tracked work, actual state, and regulatory baseline.

  • ·Three-model state comparison across what is intended, what exists, and what regulations require
  • ·Hidden work detection, surfaces gaps that no single check would fail
  • ·Behavioral learning informed only by your operational context
  • ·Compliance-boundary-aware aggregation, one-directional flow for regulated tenants

Governance

Enforcement at the MCP boundary with the In-Flight Gate and a kill switch.

  • ·In-Flight Gate: every AI action re-checked against live state the moment it runs
  • ·Downstream impact considered before an action is allowed
  • ·Governance tier follows project context
  • ·Kill switch with state preservation for emergency halt

Foundation

Compliance-aware code analysis, composite scoring, multi-agent command authority, unified platform architecture.

  • ·Compliance-aware code analysis with multi-agent command authority
  • ·Compliance-weighted developer matching, regulatory-gate enforcement at assignment level
  • ·Portal-aware contextual model, same data renders by role and intent
  • ·Context-relative composite scoring with multi-layer deterministic analysis and cryptographic fingerprinting
  • ·Triangular topology integration, three agents combine into intelligence no pair produces
  • ·Closed-loop learning across detection, governance, and command
  • ·Four-tier sovereign deployment from a single codebase

Workflow & Catalog

NLP-driven workflow automation governed by construction, with compliance-aware tool discovery.

  • ·NLP workflow generation, plain-English to deployable governed workflow
  • ·Compliance proxy and connector health pre-execution scoring
  • ·Catalog-to-deployment pipeline, governed by construction end-to-end
  • ·Trust Score Model for evaluating AI tools and capabilities
  • ·Compliance-aware unauthenticated discovery, surface tools without exposing protected context
  • ·Semantic catalog with vertical embeddings and ontology-driven discovery

See how it all composes.

The architecture diagram shows the whole platform in one picture, with click-to-drill nodes.

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