RoGO Communications, the creator of the DropBlock satellite communications platform for cellular-denied environments, is partnering with Augmented Sense Technologies (AugSense) to integrate artificial intelligence capabilities into RoGO’s communications infrastructure.
RoGO was founded to develop lifesaving technology for wildland firefighters and first responders. It’s product DropBlock is a ruggedized, portable satellite communications platform that provides real-time GPS tracking, weather telemetry, IoT sensor data, and tactical messaging in cellular-denied and remote environments.
The partnership will develop edge AI-powered sensor fusion, Team Awareness Kit (TAK) ecosystem development, and predictive analytics to firefighters, disaster recovery, military and other first responders and remote operators, including All Hazards emergencies such as hurricanes, earthquakes and floods. Last month, RoGO and AugSense presented the combined capabilities at the annual convention for Special Operation Forces (SOF Week) in Tampa.
Wildland firefighters, search-and-rescue teams, and military personnel routinely operate in remote terrain where conventional communications infrastructure does not exist. RoGO’s DropBlock technology has proven its ability to deliver real-time GPS tracking, weather data, IoT sensor telemetry, and tactical messaging over satellite links in these environments—deployed today by wildland fire agencies. As missions grow more complex and sensor-rich, operators increasingly need more than raw data. AI can deliver intelligence at the edge, delivered in real time, without dependence on connectivity.
Through this partnership, RoGO will enhance its platform with AugSense’s edge AI engine, a modular, platform-agnostic system that processes and fuses multi-modal sensor data directly on devices, without requiring a cloud connection. The AI-enriched intelligence products will transform raw sensor feeds into actionable decisions, such as predictions for the spread of a wildfire or other threats to safety.
Edge AI Capabilities
Edge AI Processing: AugSense’s engine runs AI workloads directly on edge devices using neuromorphic and spiking neural network architectures, achieving greater energy efficiency than conventional approaches. This means intelligence processing in power-constrained environments — no cloud, no data center, no latency.
Multi-Modal Sensor Fusion: AugSense’s fusion engine synthesizes data from diverse sensors (RF, weather, geospatial, physiological, and chemical/biological) into a single actionable intelligence picture at the edge.
TAK Integration & Development: Purpose-built plugins for the Android Team Awareness Kit (ATAK) and broader TAK ecosystem that overlay AI-fused intelligence onto the common operating picture, enhancing coordination across distributed teams connected through RoGO’s DropBlock network.
Predictive Analytics: Machine learning models that transform raw sensor telemetry into forward-looking predictions such as anticipating weather shifts, equipment failures, threat patterns, and fire behavior.
Immediate Applications
The combined solution targets several high-impact use cases.
- In wildland firefighting, the integration enables AI-predicted wind shifts and fire behavior models to reach incident commanders via RoGO’s satellite network—critical for crew safety decisions.
- For search-and-rescue operations, fused sensor data and intelligent mapping overlays allow distributed teams to coordinate effectively through the DropBlock network without relying on cellular infrastructure.
- In defense and special operations, the partnership delivers fused multi-sensor intelligence and TAK-integrated common operating pictures over satellite backhaul in contested and communications-degraded environments.
A new RoGO mobile phone app coming in the third quarter enables point-to-point communications among DropBlocks and firefighter crews and displays the location of firefighting assets along with fire weather data.
