AI agents & tool execution
Policy-to-runtime control, exact-use authority, replay refusal, STOP, reconciliation and consequential receipts.
One consequence-control model, qualified across very different operating boundaries.
The architecture is reused across agents, distributed compute, institutional handoffs, autonomous systems and cross-domain control while preserving each environment's evidence ceiling.
Distributed compute & data-centre control
Admission, state identity, distributed control, STOP and evidence qualified through the 409,600 / 15-kernel SIL point plus a bounded real two-GPU reference.
Institutional handoffs
Release-time revalidation, durable attempt identity, acknowledgement/effect separation, receiver admission, responsibility transfer and reconciliation.
Drones, robotics & autonomous systems
Ground Control, governed mission execution, multi-vehicle/swarm control and degraded-C2 recovery in PX4/SITL/SIH, alongside closed-loop ArduSub / BlueROV2 / Stonefish physical-simulator qualification. No physical-aircraft, operational BVLOS or regulatory qualification is claimed.
Critical-infrastructure information
Canonical operational state, provenance, bounded advisory consumption and STOP semantics without implying PLC, signalling or vehicle actuation.
Sovereign multi-domain fabric
Independent authority, bounded projection, partition/rejoin, deterministic replay and evidence verification without arbitrary-federation claims.
Machine transactions
Authority, exact attempt identity, uncertain-effect handling and independent transaction truth planes where separately qualified.
Mission / disconnected systems
Local authority, degraded communications, interruption and reconciliation while retaining explicit software/SIL ceilings.
The point is not that every domain is equally mature. The point is that the same consequence-control architecture has been exercised against substantially different failure modes without collapsing their evidence boundaries.