Innovating for a
Safer, Greener World

Electric vehicles are transforming global transport — but lithium-ion battery fires remain one of the most dangerous and unpredictable consequences of this revolution. By the time a fire becomes visible, the internal chemical reaction has already been underway for up to 45 minutes. Firefighters arrive on average 15–20 minutes after a fire starts, with no advance warning. A single EV fire in a driveway can destroy an entire home within minutes.

Sustainnovate has developed an intelligent thermal runaway prediction and communication architecture that detects early warning signs long before a fire develops, simultaneously alerts the vehicle owner and local fire services in real time, and autonomously deploys a smart containment system at source — before flames take hold.

The benefits extend far beyond fire prevention. Continuous battery health data creates transparency for government regulators. Insurers gain predictive risk data that dramatically reduces claims. The used EV market gains trusted, data-backed battery health records — transforming how second-hand EVs are valued and sold.

Container loss at sea costs the industry billions annually — in cargo damage, environmental impact and insurance claims. The root cause is often abnormal ship motion: synchronous resonance, parametric rolling and other hazardous behaviours that develop gradually but strike suddenly.

Our Vessel Behaviour Prediction System is a bridge-based AI system that continuously monitors and plots the integrated roll and pitch characteristics of a vessel in real time — identifying unique geometric signatures of dangerous motion patterns before they fully develop. The system analyses 22 independent variables, builds a dynamic predictive model, and alerts the officer on watch 20–30 minutes before an abnormal condition takes hold — giving crew ample time to take evasive action.

The system can also simulate entire voyage conditions by integrating weather forecast data, route information, cargo stability profiles and vessel-specific design parameters — making it a powerful tool for pre-departure voyage planning as well as real-time monitoring.

As electric vehicles are increasingly shipped as cargo aboard vehicle carrier vessels, the fire risk they carry on car decks is significant and largely unmanaged. Current detection methods are reactive — by the time a fire is detected, thermal runaway is already underway.

Our Marine EV Safety System is an autonomous multi-sensor system that continuously monitors the car deck environment after departure — scanning beneath vehicle chassis, recording temperature and environmental data for each vehicle at pre-determined intervals, and identifying developing hotspots. Data is transmitted to a deck hub and central server via LAN, where an AI system monitors for anomalies and issues early warnings to the crew — well before any fire event develops. Swarm configuration is available for large vessel decks.