
Teywa provides early wildfire detection by deploying a network of interconnected sensors in forests. The sensors form a neural-like network and send real-time data to a central control center, enabling alerts via mobile. Machine learning models analyze historical data to predict likely fire locations and timing. The system targets forest services, park authorities, and emergency responders as its primary users. This approach helps focus prevention resources on high-risk zones and can scale to regional deployments.

Teywa provides early wildfire detection by deploying a network of interconnected sensors in forests. The sensors form a neural-like network and send real-time data to a central control center, enabling alerts via mobile. Machine learning models analyze historical data to predict likely fire locations and timing. The system targets forest services, park authorities, and emergency responders as its primary users. This approach helps focus prevention resources on high-risk zones and can scale to regional deployments.