deepsafety.tech

Physics-based process safety infrastructure for decision systems.

Deep Safety provides a verifiable computational layer for consequence analysis, hazard evaluation, and operational decision support. One consistent model contract spans notebooks, APIs, browser applications, GIS workflows, and agent systems.

Overview

One physical model chain across operational software

Material properties and operating conditions are treated as upstream dependencies. Source models generate release rate and phase state; dispersion and fire/explosion models convert those outputs into consequence metrics; hazard-evaluation workflows then consume the same outputs for HAZOP, FMEA, and What-If studies. This makes the chain auditable and consistent across tools.

Modules

Documentation and product entry points

Highlights

Immediate platform capabilities

Comprehensive endpoint families

Materials, source terms, dispersion, fire, explosion, effect, prevention, relief, and hazard-evaluation modules are already exposed through the same API surface.

Transparent equations and constants

Equations, constants, and physical meaning are explicit in responses and docs. Constants can be overridden per request for sensitivity studies and what-if analysis.

Built for software integration

Use the same model contract in browser-local mode, Python notebooks, FastAPI services, Docker deployments, and MCP tools without rewriting calculation logic.