RAHA is a real-time risk-intelligence platform for industrial safety teams. It models how hazardous gases like benzene spread across a site, then maps live hazard zones, population-at-risk, and emergency response — turning complex dispersion science into a fast decision tool.
When a leak happens, incident commanders need answers in seconds — not a desktop study that takes hours. RAHA continuously fuses plant data with live weather to keep an always-current picture of where the hazard is going and who is in its path.
Predictions update continuously with live wind, temperature, and stability conditions from weather services.
Hot / Warm / Cold zones, evacuation guidance, PPE levels, and official PDF reports for the incident commander.
Multi-tenant, role-based access, audit logging, and licensing — designed for plants and HSE organizations.
Source location, release rate, and live weather are pulled in automatically.
A machine-learning dispersion engine predicts concentration across the area.
Hazard zones and population-at-risk are rendered on an interactive map.
Teams get zones, PPE, traffic guidance, and a shareable PDF response report.
RAHA is modular — each engine adds a layer of insight on top of the core dispersion prediction.
ML-based concentration prediction (XGBoost) combined with live weather and atmospheric stability classes.
Estimates exposed population and flags sensitive receptors — schools, clinics — with an exposure score.
Hot/Warm/Cold zones, PPE selection, traffic control, and official incident PDF reports.
A conversational assistant that helps interpret results and guides response decisions.
Vector-tile geospatial mapping with wind-aligned hazard polygons rendered in the browser.
Every prediction and admin action is logged for legal reconstruction and compliance.
A scalable stack built for security, geospatial data, and machine-learning workloads.
We're partnering with industrial and HSE organizations for early pilots.
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