GasGuard — an AI safety layer for tunneling and underground construction that predicts hazardous gas buildup before it becomes catastrophic
A real-time safety intelligence layer for tunnel, mine, and underground construction sites that fuses gas sensor data with work activity to predict dangerous accumulations of methane, H2S, and CO2 before they trigger an incident.
Safety officers and site managers running tunneling, mining, hydropower, and underground construction projects
- Live gas sensor fusion with AI-driven forecasts that predict threshold breaches 10-30 minutes ahead based on geology, ventilation, and work patterns
- Automated evacuation playbooks triggered by predicted breaches, with multilingual worker-facing alerts
- Incident reconstruction module that auto-generates regulatory and insurance-ready reports from sensor and worker logs
- Compliance dashboard mapping live readings against OSHA, Indian DGMS, and EU Atex-style thresholds with audit trails
The Sikkim tunnel collapse killed 25 workers after a methane burst that rescuers could not reach in time; regulators, insurers, and operators are actively looking for systems that predict rather than just record hazardous gas events.
A major 25-fatality industrial disaster drives immediate regulatory and procurement attention from tunneling operatorsSikkim tunnel collapse due to methane gas explosion kills 25 ↗
Industrial IoT vendors sell sensors but few offer an AI prediction and regulatory-reporting layer on topSikkim tunnel collapse due to methane gas explosion kills 25 ↗
Enterprise safety buyers pay premium contracts; small cost relative to a single avoided multi-fatality incidentSikkim tunnel collapse due to methane gas explosion kills 25 ↗
Underground construction and mining safety is a permanent, regulated category
Needs hardware sensor integration, on-site deployment, and safety certifications — harder than pure software