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).

VERTICAL APPLICATIONS

Use Cases Across Demanding Environments

RHI’s core platforms are designed to support high-consequence environments where local compute, resilient communications, & integrated sensing are essential.

Operational Analytics

Distributed field aggregation and decision support across formations, logistics nodes, and mobile command environments.

Resilient Tactical C2

Rajant mesh plus Cowbell orchestration preserve mission applications without cloud dependency or fragile central controllers.

Drone, Vehicle, and Crew Coordination

Shared situational data lets teams coordinate autonomous systems, manned assets, and personnel in motion.

Readiness & Hazard Alerts

Wearables and edge sensors surface fatigue, stress, exposure, and mission risk before they become operational failures.

Cowbell distributed edge intelligence deployment across military and defense operations
Distributed Edge Intelligence for Operational / Defense

Edge Infrastructure for Contested, Mobile, Mission-Critical Ops

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.

  • Operational Analytics & Resilient C2: Field data, logistics telemetry, and mission apps stay available over Rajant mesh for distributed coordination.
  • Anti-Jamming & EW Resilience: Spectrum-adaptive local applications keep comms, workflows, and edge autonomy alive during degraded links.
  • FPV & Teleoperation: Cowbell supports low-latency control loops for UAVs, UGVs, and remote systems moving through dynamic topologies.
  • Hostile Drone Detection & Mitigation: Multi-sensor inputs are processed locally to track, classify, and counter enemy UAS activity.
  • Soldier & Crew Health Monitoring: QStat wearables and environmental sensors stream readiness, wellness, and CBRN exposure data into alerts and dashboards.
  • Training & After-Action Analysis: Telemetry, wearable signals, and engagement logs are archived for mission replay and optimization.

Blast Safety & Worker Protection

Geo-fenced alerts, evacuation workflows, and wearable-linked safety logic reduce exposure during blasting and underground incidents.

Asset Monitoring & Predictive Maintenance

Telemetry from haul trucks, drills, loaders, and underground machinery feeds edge analytics for uptime planning and failure prediction.

Environmental & Exposure Monitoring

Dust, gas, vibration, noise, and air-quality signals are correlated with worker physiology for compliance and operational risk awareness.

Teleoperation & Situational Awareness

Low-latency mesh connectivity supports remote control, local video analytics, and resilient visibility across dynamic pit and tunnel environments.

Cowbell deployment across an open-pit mining operation
Distributed Edge Intelligence for Open-Pit Mining

Smarter Surface Mining With Safer Blasting & Greater Asset Awareness

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.

  • Blast Blocking & Safety: Geo-fenced blast zones, wearables, and mesh-connected alerts keep personnel away from hazardous areas.
  • Asset Monitoring: Real-time telemetry from haul trucks and heavy equipment powers predictive maintenance and uptime planning.
  • Worker Health: QStat tracks fatigue, vitals, and stress exposure in harsh field conditions.
  • Environmental Monitoring: Edge nodes analyze dust, harmful gases, noise, and vibration near active work zones.
  • Situational Awareness & Teleoperation: Local video analytics and low-latency mesh support remote equipment control and oversight.
Cowbell deployment across underground mining tunnels and equipment
Distributed Edge Intelligence for UNDERGROUND MINING

GPS-Denied Underground Operations with Resilient Emergency Comms

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.

  • Worker Safety: BlastBlocker-style low-latency evacuation alerts reach personnel underground while wearables verify compliance.
  • Resilient Emergency Comms: Rajant mesh keeps teams connected during cave-ins, fire, and severe interference conditions.
  • Asset Monitoring: Edge nodes orchestrate IoT sensors for machinery runtime, location tracking, and failure prediction without GPS.
  • Health & Safety Monitoring: QStat streams oxygen, heart rate, and stress signals for collapse and fatigue warnings.
  • Environmental Compliance & Teleoperation: Gas/leak sensors, video feeds, and remote rig control run with the latency and survivability underground sites require.

Remote Operations

Teleoperation, autonomous equipment control, and local AI workflows run at the edge without waiting on distant infrastructure.

Environmental Monitoring

Air quality, emissions, noise, spills, and operational telemetry feed compliance and alerting workflows in real time.

Asset & Inventory Visibility

Containers, pallets, forklifts, cranes, and rolling assets stay tracked across high-mobility facilities.

Resilient Site IT/OT

A unified control plane spans devices, networks, clusters, applications, and analytics across distributed industrial sites.

Cowbell deployment across a port and cargo handling environment
Distributed Edge Intelligence for Ports & Terminals

Real-Time Port Operations Across Cargo, Cranes, Security, & Safety

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.

  • Container & Cargo Tracking: Mesh-connected asset and vehicle data provide continuous visibility across yards, berths, and cranes.
  • Worker Safety & Health: QStat wearables surface heat stress, fatigue, and incident conditions to supervisors in real time.
  • Autonomous Crane & Vehicle Coordination: Teleoperation and autonomy apps run with resilient, low-latency comms.
  • Security & Emergency Response: Drones, cameras, and wearables feed local analytics and response dashboards.
  • Operational Analytics & Resilient Comms Backbone: Logistics, worker movement, and equipment streams help optimize throughput and reduce bottlenecks.
Cowbell deployment across a warehouse environment
Distributed Edge Intelligence for Warehouses

Warehouse Safety, Robotics, Inventory, & Real-Time Ops

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.

  • Worker Safety & Collision Avoidance: Cowbell-hosted workflows combine QStat wearables, vehicle telemetry, and vision systems to reduce accidents.
  • Inventory & Asset Management: Mesh-connected sensors track pallets, bins, mobile assets, and stock movement in real time.
  • Teleoperation & Autonomous Vehicles: Forklifts, AGVs, and warehouse robots can be monitored and orchestrated over resilient low-latency connectivity.
  • Worker Health & Productivity: Wearables surface fatigue, exertion, and shift-performance signals for safer, more efficient operations.
  • Predictive Maintenance & Analytics: Conveyor, forklift, and robotics telemetry feed Cowbell applications for failure prediction and throughput optimization.
Cowbell deployment across an oil and gas field
Distributed Edge Intelligence for Oil & Gas

Edge Analytics, Teleoperation, and Compliance for Remote Energy Ops

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.

  • Worker Safety & Health Monitoring: QStat wearables track vitals, fatigue, and heat stress while Cowbell applications deliver real-time alerts.
  • Environmental Monitoring & Compliance: Methane, emissions, spill, and noise data feed local reporting and mitigation workflows.
  • Teleoperation & Remote Control: Cowbell orchestrates remote rigs, drilling platforms, and autonomous inspection robots over Rajant mesh.
  • Asset Monitoring & Predictive Maintenance: Pumps, compressors, pipelines, and drills stream telemetry into edge analytics to prevent downtime.
  • Emergency Response & Operational Optimization: Cowbell supports local incident dashboards while aggregating production data to improve scheduling and resource allocation.

Clinical Trials

Structured, secure, air-gapped physiological and environmental data collection in regulated research workflows.

Rural & In-Home RPM

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.

Device Validation

Reference comparisons, calibration studies, and sensor fusion research run on a controlled local edge stack.

Translational Science

Cross-species datasets, raw waveforms, and multi-modal monitoring connect preclinical and clinical research outcomes.

Cowbell deployment across smart hospital patient suites and surgical settings
Distributed Edge Intelligence for Smart Hospitals

Monitoring, Research, & Clinical Analytics for Hospital Ops

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.

  • Asset Tracking & Utilization: RTLS apps locate and optimize high-value hospital equipment.
  • Smart Surgery & Perioperative Monitoring: Mesh-enabled sensors and QStat wearables support intraoperative studies, perioperative workflows, and post-surgical surveillance with uninterrupted time-series capture.
  • Clinical Trials & Translational Research: Cowbell aggregates physiological, environmental, behavioral, and clinical data for secure study oversight and translational research.
  • Device Validation & Calibration: Supports synchronized comparison with reference devices, calibration extraction, error modeling, and structured exports for regulated documentation.
  • Raw Waveform & AI Research: Secure access to raw physiological and environmental streams enables sensor-fusion modeling and algorithm development.
  • Air-Gapped Deployment & Smart Nursing Stations: Local dashboards, remote observation, and controlled model operations run on-prem or in client-owned VPCs without public-cloud dependency.
Cowbell animal monitoring deployment for surgery, recovery, and translational research
Distributed Edge Intelligence for Animal Monitoring

Multi-Species Monitoring and Translational Research Ops

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.

  • Modular Multi-Species Hardware: QStat supports adaptable enclosures, mounts, and attachment geometries for pigs, bovine studies, and custom research use.
  • Surgical & Post-Op Monitoring: Continuous physiological, environmental, and behavioral capture supports intraoperative, perioperative, and recovery workflows.
  • Cross-Species Dataset Harmonization: A consistent sensing architecture enables standardized acquisition, calibration, and comparable signal fidelity across animal and human studies.
  • Behavioral, Environmental, and Hub-Based Sensing: Raw physiological, motion, temperature, environmental, and external-device data are unified into synchronized datasets.
  • Validation, AI, and Translational Modeling: Cowbell supports calibration, benchmarking, feature engineering, and cross-species transfer-learning without redesigning the sensing layer.
Cowbell deployment for oncology and rural healthcare monitoring workflows
Distributed Edge Intelligence for Oncology & Rural Care

Remote Patient Monitoring and Distributed Care Ops

  • Continuous, Patient-Verifiable Monitoring: QStat combines multi-sensor capture, raw data access, wearable hub capability, and higher-trust signal collection for remote care.
  • Flexible Care Data Pathways: Home deployments, kiosks, and Cowbell nodes move patient data securely into clinical review workflows.
  • Early Warning & Escalation: Edge-native AI and clinician-facing dashboards help surface adverse trends sooner and support timely intervention.
  • Pilot-to-Deployment Pathway: The oncology model supports signal validation, alert refinement, workflow optimization, and evidence generation.
  • Data Ownership & Distributed Programs: Care organizations retain control of patient data while supporting multi-site monitoring and longitudinal analysis.
  • Connected Kiosks & In-Home Monitoring: Wearables, kiosks, and telehealth endpoints extend monitoring across homes, clinics, and community locations.
  • Last-Mile Connectivity & Edge Analytics: Rajant mesh and Cowbell enable resilient transport, local analytics, and early alerts in constrained environments.
  • Scalable Remote Care Infrastructure: New endpoints can be added without overhauling existing systems, reducing hospital visits while centralizing data and analytics.
OFFICIAL CONTENT ASSISTANT

RHI Platform Assistant

Responses are based only on official RHI content.

Grounded in approved RHI sources. AI can make mistakes; verify results!