Vancouver-based startup SenseNet, which develops an integrated solution combining ground gas sensors, wide-angle AI cameras and satellite/weather feeds for early wildfire detection, has reportedly raised US $14 million in a Series A funding round with Stormbreaker Ventures leading the round. The financing will support the company’s planned expansion across the U.S. market.
SenseNet’s technology is already deployed across more than 130 million acres globally, spanning regions in Canada, the U.S., Brazil, Indonesia and Chile. The system uses sensor nodes built to detect fire-specific gases in the smouldering phase, 360° AI-driven camera monitoring up to 50 miles range, and satellite/weather data to feed a unified incident-management platform. According to the company, alerts can be issued within minutes of ignition, often before visible smoke appears.
The new capital will be directed toward scaling U.S. field operations, establishing additional offices, boosting installations, deepening integration with public-safety and utility workflows, and enhancing predictive fire-behaviour modelling and real-time perimeter/’hot-spot’ mapping.
Investors cited the business case of shifting from costly fire-suppression to prevention: the mix of early detection and unified response aims to reduce the size of fire events, lower suppression and recovery costs for utilities, insurers and municipalities, and improve community protection.
Further growth plans include expanding partnerships with emergency management platforms, and increasing deployments in high-risk zones where terrain and connectivity issues hinder traditional detection methods.
