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.
← Back to the platformWatch 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.
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.
Back to the Platform →