EPTTAS Detector:AI battery-fire early warning
Published 1 October 2025; updated 30 September 2026; 2-minute read. Detector:AI is software intended to analyse battery data and alert fleet operators, insurers and regulators to fire/thermal-runaway risk. The article claims it can warn 60+ minutes before ignition, analyse 20+ indicators, and use machine learning to identify early-stage anomalies that conventional battery-management systems/telematics may miss.
The page says alerts can be tailored to thresholds and the software integrates with existing systems. It is aimed at fleet operators, OEMs and battery manufacturers and covers EVs, e-scooters/bikes, cars, trucks, buses, trains, aircraft, ships and stationary battery-energy storage. It also supports condition-based maintenance, which the company says can extend battery life, reduce failures, replacements, downtime and service costs, lower lifecycle emissions and battery waste, and support second-life use.
Market context quotes IEA battery-market estimates around USD 330 billion by 2030 and an EV market estimate up to USD 1.6 trillion by 2030. Availability: available in the Americas, Europe, Asia, Africa and Oceania. Categories: battery / integration; technology / AI and machine learning; energy. Linked UN SDG: 11. Public contact: Joar Tenfjord, Co-founder & CSO/CMO, joar@epttas.com. Company card: EPTTAS AS, Krohnegården 103, 5146 Fyllingsdalen, Norway; epttas.com. The linked company-page URL slug appears as “epptas-as” in the page state. No event listings or participation fees are displayed.
Public phone number revealed by the page control on 8 October 2026: +47 929 26 816.