Signet is an autonomous wildfire intelligence agent that continuously monitors the continental United States for wildfire activity using satellite imagery and environmental data.
It is powered by Google's latest Gemini 3 model that decides what to monitor, when, and how to respond.
Autonomous Orchestration
Operates continuously for hours and days, orchestrating multi-step tool calls across NASA FIRMS detections, GOES-19 imagery analysis, and autonomous investigations.
Maintains state across long-running cycles and self-corrects based on prediction outcomes.
Multimodal Reasoning
Correlates satellite thermal imagery with geographic and environmental data to analyze spatial patterns and temporal evolution.
Applies fire weather physics including Haines Index, radiative power analysis, and terrain modeling using data from NWS, USGS, LANDFIRE, Census, OpenStreetMap, and Google Search to understand cause-and-effect relationships in fire behavior.
Technical Architecture
Leverages thought signatures and thinking levels for reasoning transparency, context caching for reduced latency, and real-time cognitive streaming.
Orchestrates 28 specialized tools without human supervision while all reasoning steps and decisions are logged transparently in the live feed.