Intelligent multi-sensor fire detection and suppression technology for internal combustion engines and EV systems.
Conventional systems rely on a single parameter, often detecting hazards too late or triggering false alarms. We build multi-modal sensor fusion architectures that monitor thermal, optical, and electrical abnormalities simultaneously—aiming to confirm fire risk before catastrophic thermal runaway.
Whether it's a densely packed engine compartment or a sealed EV battery pack, critical hazards develop rapidly in confined, inaccessible spaces.
We distribute an intelligent prototype network of independent sensors—monitoring thermal spikes, volatile gases, optical signatures, and electrical faults simultaneously.
Data converges instantly at the Edge Controller. Our fusion algorithms analyze rate-of-rise and cross-correlate anomalies. One signal is a warning; fused signals create confidence.
Upon definitive multi-sensor confirmation, the architecture triggers localized suppression—engineered to neutralize the thermal event precisely at the point of origin.
Purpose-built detection architectures for the two most critical vehicle platforms.
Early fire-risk monitoring for internal combustion engine compartments, fuel lines, and critical vehicle electrical systems. Designed to identify developing thermal faults, leaks, and electrical arcing before they breach the passenger cabin.
Advanced monitoring architecture for thermal and electrical abnormalities inside sealed battery packs. Addressing the unique challenges of lithium-ion systems, aiming to detect off-gassing and localized heating before thermal runaway occurs.
The minds pushing the boundaries of automotive fire safety and the critical challenges we are dedicated to resolving.
Current vehicle fire systems often rely on singular parameters like ambient temperature, which leads to severely delayed detection or frequent false alarms. By the time an engine fire or thermal runaway event is confirmed, catastrophic and irreversible damage to the vehicle—and potential danger to occupants—has often already occurred. AutoExt combats this by introducing instantaneous, multi-modal sensor detection to identify and suppress fires at their exact point of origin before they have the chance to escalate.
Founder & CEO
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We aim to transition our intelligent multi-sensor technology from an experimental prototype validation phase to purpose-built, certifiable hardware suitable for massive commercial automotive integration.
To become the standard safety system in every vehicle, industry, and transport system.
To create a safer society by reducing fire-related injuries, losses, and emergencies.
To make every vehicle self-protective with intelligent fire safety.
Interested in evaluating our prototype, discussing technical integration, or exploring early investment opportunities? Reach out to our team directly.
Founder and CEO
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