From fragmented signals to a defensible decision.
The KRYOS XS pipeline is designed for high-consequence decisions. Every stage produces an artifact, evidence, alternatives, uncertainty, and the named authority who released the decision.
Digital-twin scenarios test hazard × asset × intervention combinations with explicit uncertainty.
Seven stages. One auditable outcome.
Signals arrive via API from weather, GIS, satellite, drone, sensor, infrastructure, insurance, enterprise, agent, and analyst sources.
Sources are provenanced, scored, and reconciled. Contradictions surface. Staleness is flagged.
Signals are classified by hazard, exposure, and consequence tier, which drives governance routing.
Digital-twin scenarios test hazard × asset × intervention combinations with explicit uncertainty.
Policies determine authority routing, thresholds, and required approvers per consequence tier.
A named human authority approves, revises, escalates, or rejects. Nothing releases without them.
The full decision, evidence, alternatives, uncertainty, and approver, persists as an auditable record.
Machines propose. People approve.
- 01RecommendationMachine-generated candidate decision with alternatives and uncertainty.
- 02Evidence reviewSources, agreement, and contradictions surfaced for the approver.
- 03Simulation resultScenario outcomes and residual risk from the digital twin.
- 04Risk thresholdPolicy check against consequence tier and named authority.
- 05Named authorityRouted to the specific human or role empowered to release.
- 06Approve · Revise · Escalate · RejectHuman decision recorded with rationale.