Startup Aims to Predict Fires Before They Start

A predictive analytics startup armed with a patented learning algorithm aimed at security applications along with Internet of Things devices said it has attracted seed funding for a platform that could spot the precursors of impending fires and floods before they start.

OneEvent Technologies said this week it has so far raised $4.3 million to commercialize its predictive learning and analytics engine for building monitoring and security. The cloud-based platform—the IoT version of a smoke alarm—uses wireless sensors to measure factors such as temperature, air quality and humidity. The engine eventually learns what is “normal” for a given structure and issues alerts when it detects an abnormal reading that might indicate fire or flood.

Author: George Leopold


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