Technology for IndustriesWhere Digital
Meets Physical.

How it works

Agents correlate grid telemetry, weather, equipment health, field activity and demand. They assess operating options and prepare approved storage, balancing or dispatch actions, with utility control systems and operators retaining authority over critical equipment.

How it works

Connected drones and robots collect inspection imagery and sensor readings from lines, pipelines, renewable assets and substations. Vision AI flags anomalies, while agents rank their operational impact and prepare inspection findings and approved intervention tasks.

How it works

Private 5G, local Core and edge services support priority communications at the utility site. Satellite backup and tested failover paths reduce dependency on a single backhaul, with continuity defined by local capacity, power and operating requirements.

How it works

Traffic, transit, IoT, weather and infrastructure signals feed a city Digital Twin. Agents assess impact and coordinate response tasks, with approved signaling or service-route changes applied through the responsible municipal systems.

How it works

Drones, robotic systems and municipal vehicles gather imagery and sensor readings from roads, bridges and utilities. Edge AI flags defects for review, and agents assemble location, severity and evidence into repair tasks for the responsible team.

How it works

Evaluate RF sensing alongside roadside cameras and sensors to observe vehicles, pedestrians and drones. A Digital Twin supports traffic and emergency-route scenarios, with approved interventions kept within municipal traffic-control rules.

ISAC and AI-RAN sensing integration is an evaluation direction requiring local trials and validated traffic-control interfaces.

How it works

iFabric™ discovers infrastructure relationships and correlates compute, network, power and cooling telemetry in an operational Digital Twin. Agents investigate bottlenecks, anticipate service risks and coordinate approved remediation across the responsible systems.

How it works

Agents evaluate GPU availability, network congestion, power cost, thermal headroom and workload priority. Placement decisions respect latency, data-location and access policies, then coordinate approved scheduling changes and check the resulting service performance.

How it works

Applications provide latency, data-location and capacity requirements to an orchestration layer. It selects eligible AI factory, regional or enterprise-edge resources; validated AI-RAN capacity can join the grid as that integration develops.

How it works

Private 5G links devices, imaging services, staff communications and asset-tracking systems with local edge applications. Orchestration prioritizes connectivity and compute around agreed clinical and operational needs, with clinical decisions remaining with healthcare professionals.

How it works

Autonomous mobile robots carry approved loads across mapped hospital routes. Private 5G and edge intelligence coordinate fleet movement, elevators and restricted areas through approved interfaces, with staff able to supervise and intervene.

How it works

Evaluate emerging RF sensing alongside approved IoT and clinical systems, with sensitive data processed locally under defined access and retention policies. Validated alerts support staff observation and response; clinical decisions remain with healthcare professionals.

RF sensing for patient-related alerts requires clinical validation and applicable approvals before use in care.