OPERATIONAL
MODEL FAMILY · EMBER · DUAL-USE
Early eyes on every ignition.
Ember is an infrastructure-intelligence model family trained on real-world disasters: detection, assessment, and coordination for the minutes that decide outcomes.
01 · DISCRIMINATION
A threat is not a burn.
Built with fire-protection engineers from the University of Maryland and born from the XPRIZE Wildfire competition, Ember distinguishes genuine disaster threats from drills and other normal activity, assesses risk to people and infrastructure, and raises the alarm with context, not just a pixel score.
>95%
context-aware detection accuracy
24/7
autonomous awareness
>50% less
false positives by design
// FIELD CAPTURE · LIVE FIRE DETECTION
02 · VARIANTS
Ember Flame
Precision detection for airborne and dock-based operations. Fire and smoke detection with context-aware accuracy above 95% and FCCS fire fuel detection, engineered for rapid identification with minimal false positives.
DETECTION · AIRBORNE + DOCK
Ember Blaze
The command layer: coordinates drone fleets, runs fuel classification and report generation from the field, and turns detections into resource allocation with physics-informed fire modeling.
COMMAND · FLEET COORDINATION
03 · BEYOND DISASTERS
Critical infrastructure, same doctrine.
The same always-on watch extends to the assets disasters threaten first: transmission corridors, substations, rail, and remote plants. Persistent detection at a fraction of the compute of always-on heavy models.
// ASSET WATCH · TRANSMISSION INFRASTRUCTURE
04 · ARCHITECTURE