From grid to frontline:
real-time awareness
where it matters most.
Safeguarding critical infrastructure and enabling rapid response requires more than static oversight — it demands adaptive, tech-forward systems powered by edge AI that deliver real-time intelligence at the source.
Critical infrastructure is more vulnerable than ever.
Wildfires, severe storms, cyber-physical threats, and aging assets cause tens of billions in losses annually. Each year, utility outages and infrastructure failures escalate — yet most monitoring remains static, slow, or siloed.
Climate change accelerates the risk. Droughts, high winds, and rising temperatures fuel larger and more destructive wildfires. Habitat degradation, land movement, and stressed ecosystems compound exposure for utility, transportation, and defense assets alike.
Military and homeland security operations face similar pressures — bases, borders, and forward operating environments require real-time situational awareness in GPS-denied and communications-contested conditions.
A closed-loop intelligence platform.
Sensors continuously detect and prioritize risks while field tools document, verify, and guide remediation — turning raw signal into the moment-to-moment decisions that protect what matters.
Edge AI decision engine
Continuous monitoring of critical infrastructure, habitats, and environmental conditions through an edge AI–driven decision engine that cross-references live data with historical records to surface anomalies before they escalate.
Immersive field tooling
Advanced augmented and virtual reality tools for field training, remote inspection, ecological surveying, and mission rehearsal. Crews, scientists, and commanders alike can interact with rich, situational overlays.
Multi-modal sensing
Integrated sensing of air quality, temperature, humidity, vibration, and ground movement provides a holistic picture of ecosystems and infrastructure health from one mesh network.
Proactive identification
Proactive identification and prevention of failures — reducing wildfires, outages, environmental hazards, and ecological impacts — while enhancing defense readiness and infrastructure resilience.
Three layers, one operational picture.
Edge sensor network
A distributed mesh of sensor nodes equipped with LiDAR, thermal and optical imaging, environmental monitors, land-movement detection, acoustic sensors, and chemical sensing.
Field intelligence tools
AR- and VR-enhanced applications that give utility crews, environmental teams, and defense operators immersive, real-time visualization of assets, terrain, and conditions.
Integration layer
Interoperates with SAP, Oracle, and GIS systems so the platform plugs into the operational rhythm you already have.