An early-warning system that models disasters as instability transitions rather than isolated events. It combines force-based instability modeling with an interpretable ML escalation-risk layer to detect when hazards become disasters due to exposure growth, response delays, and buffer collapse.

Introducing: A next‑generation Safety Instrumented System (SIS) framework introducing SIL(t) — a time‑dependent, data‑driven model that corrects the static assumptions of IEC 61508. Includes dynamic risk analytics, operational drift modeling, lake-house architecture diagrams, and end‑to‑end SIS data flow for modern industrial environments.

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