Operational Analytics
Distributed field aggregation and decision support across formations, logistics nodes, and mobile command environments.
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Rajant Health platforms deploy across four verticals: defense and tactical operations (resilient C2, crew health monitoring, drone coordination), open-pit and underground mining (blast safety, GPS-denied emergency communications), industrial operations (ports, warehouses, oil and gas teleoperation and predictive maintenance), and healthcare and research (smart hospitals, clinical trials, oncology remote patient monitoring, animal translational research).
RHI’s core platforms are designed to support high-consequence environments where local compute, resilient communications, & integrated sensing are essential.
Distributed field aggregation and decision support across formations, logistics nodes, and mobile command environments.
Rajant mesh plus Cowbell orchestration preserve mission applications without cloud dependency or fragile central controllers.
Shared situational data lets teams coordinate autonomous systems, manned assets, and personnel in motion.
Wearables and edge sensors surface fatigue, stress, exposure, and mission risk before they become operational failures.
Cowbell turns Rajant mesh-connected forces, vehicles, sensors, and wearables into a shared operational fabric for command-and-control, local AI processing, readiness monitoring, and low-latency autonomy at the tactical edge.
Geo-fenced alerts, evacuation workflows, and wearable-linked safety logic reduce exposure during blasting and underground incidents.
Telemetry from haul trucks, drills, loaders, and underground machinery feeds edge analytics for uptime planning and failure prediction.
Dust, gas, vibration, noise, and air-quality signals are correlated with worker physiology for compliance and operational risk awareness.
Low-latency mesh connectivity supports remote control, local video analytics, and resilient visibility across dynamic pit and tunnel environments.
Cowbell brings together equipment telemetry, worker wearables, environmental sensors, and edge AI to support pit-wide safety, productivity, and remote operations across expansive, constantly changing sites.
In tunnels and shafts where conventional connectivity breaks down, Cowbell and Rajant mesh maintain routing, orchestration, sensor fusion, and low-latency control to keep workers, vehicles, and monitoring systems connected.
Teleoperation, autonomous equipment control, and local AI workflows run at the edge without waiting on distant infrastructure.
Air quality, emissions, noise, spills, and operational telemetry feed compliance and alerting workflows in real time.
Containers, pallets, forklifts, cranes, and rolling assets stay tracked across high-mobility facilities.
A unified control plane spans devices, networks, clusters, applications, and analytics across distributed industrial sites.
Cowbell hosts operational apps directly at the port edge so container flows, vehicle coordination, security, and worker safety continue even when central infrastructure is constrained or disconnected.
Cowbell hosts warehouse applications directly at the edge so forklifts, conveyors, AGVs, cameras, wearables, and inventory systems stay coordinated with low-latency visibility across busy logistics environments.
Cowbell unifies worker safety, emissions sensing, asset telemetry, drone inspection, and low-latency control across distributed oil and gas environments where resilient local execution matters.
Structured, secure, air-gapped physiological and environmental data collection in regulated research workflows.
Flexible patient-to-care-team data pathways support high-fidelity longitudinal monitoring, home deployment, and community-clinic scale without ceding data control to a device vendor.
Reference comparisons, calibration studies, and sensor fusion research run on a controlled local edge stack.
Cross-species datasets, raw waveforms, and multi-modal monitoring connect preclinical and clinical research outcomes.
Grounded in the MEMOS Clinical Trial App architecture, Cowbell provides an edge-native, air-gapped execution layer for smart hospitals where intraoperative studies, perioperative monitoring, post-surgical surveillance, and secure clinical data operations must continue under full institutional control.
Using the MEMOS Clinical Trial App model, Cowbell and QStat support animal translational research with modular multi-species hardware, continuous physiological monitoring, and secure local orchestration across surgical, recovery, and longitudinal study workflows.
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