● DISTRIBUTED EDGE INTELLIGENCE · MISSION-CRITICAL SYSTEMS

CONNECTED EDGE INTELLIGENCE.
IN MOTION.

RHI integrates wearable biosensors, self-healing mesh networks, and distributed edge compute and orchestration to enable real-time decision-making in dynamic, connectivity-constrained environments.

Resilient Self-healing System Fabric
Connected Comms & Compute in Motion
Live Edge Decision Support
LIVE MISSION FABRIC ONLINE
EDGE NODES
106
Distributed compute cluster
WEARABLES
2705
Passive physiological collection
SENSORS
219
Environmental endpoints
LINK HEALTH
97%
Mesh survivability
syncing...
● Air-Gapped Deployable ● Self-Healing Mesh Networking ● Waveform- and Radio-agnostic Meshing ● Distributed Edge Compute ● Dynamic Edge Clustering ● Containerized & Non-Containerized Apps Orchestration ● Hardware- and OS-Agnostic PaaS ● Clinical-Grade Wearable Sensing ● Wearable Biosensor Hub ● 50+ Configurable Biometric Sensors ● Real-Time Edge AI ● Rugged Mobile Systems ● SWaP-C Systems for Drones & Robots ● Up to 100 TOPS AI Hardware ● Decision Support at the Edge ● Validated in Contested Environments ● Deployed internationally ● Trusted by Defense, Healthcare, and Industry
INTELLIGENCE
AT THE EDGE.
DECISIONS IN
REAL TIME.

RHI builds distributed edge infrastructure and platforms for connected sensing, resilient communications, and real-time decision support. The platform connects wearable biosensors, sensors, mesh networking, and edge compute to support operations in dynamic, connectivity-constrained environments.

WEARABLE SENSING

QStat captures continuous clinical-grade biometrics, raw waveforms, location context, and environmental signals.

KINETIC MESH® NETWORKING

DX5-powered self-forming, self-healing mesh sustains data flow in motion, through obstructions, and in degraded RF conditions.

DISTRIBUTED EDGE COMPUTE

Cowbell provices a scalable fast-deployable distributed edge infrastructure and platformfor managing your Devices, Data, and Apps.

AI-POWERED DECISION SUPPORT

MEMOS and other solutions turn distributed sensing into real-time alerts, dashboards, and longitudinal analytics.

THE RHI PLATFORM STACK

Three Platforms.
One Operational Fabric.

Cowbell, QStat, and BreadCrumb DX5 operate independently and become materially more powerful when deployed together as an integrated edge intelligence stack.

PLATFORM · PAAS · EDGE COMPUTE

Cowbell

Hardware-agnostic, OS-agnostic, network-agnostic distributed edge PaaS. CORA executes autonomously at the edge while ATLAS governs lifecycle, identity, and fleet control.

  • Up to 100 TOPS AI compute
  • 4 HW variants: EdgeCrumb · Flying · sQuare · Circle
  • CORA + ATLAS architecture
  • Air-gapped + cloud-hybrid
  • Fast deployment: 0.5–2 days
Explore Cowbell →
WEARABLE HUB · BIOSENSOR · 50+ SENSORS

QStat

Modular wearable biosensor hub delivering continuous clinical-grade biometrics, raw waveforms, sensor fusion, and BLE hub functionality for external devices.

  • 50+ configurable onboard sensors
  • 50 × 35 × 13 mm
  • IP67 / 5ATM · MIL-STD-810G
  • 4–7 days onboard storage
  • BLE hub: up to 20 devices
Explore QStat →
MESH RADIO · DRONE · ROBOT · 47g

DX5 Finch

Rajant’s smallest and lightest BreadCrumb. Board-level Kinetic Mesh® module for UAVs, UGVs, mobile robotics, and distributed edge platforms operating in motion.

  • 47g bare · 72g with heatsinks
  • 40 × 78 × 10 mm
  • 300 Mbps @ 2.4GHz
  • 420 Mbps @ 5GHz
  • -40°C to +60°C
Explore DX5 Finch →
COWBELL PLATFORM · CORA + ATLAS ARCHITECTURE

The Execution Layer for Every Deployment.

Scalable Fast-Deployable Distributed Edge Infrastructure and Platform for Managing Your Devices, Data, & Apps.

Cowbell provides a unified management plane across devices, clusters, networks, and applications. CORA runs on every node and manages orchestration, data movement, and autonomous execution under disconnected conditions. ATLAS provides governance, identity, telemetry, lifecycle control, and commercial operations from the cloud.

Together, CORA and ATLAS establish a clear mental model: execution and autonomy at the edge, governed by policy, identity, and lifecycle control in the cloud.

COWBELL SOFTWARE ARCHITECTURE
DEPLOY TIME · 0.5–2 Days
3-YR TCO · Up to 71% lower in video analytics modeling
Edge execution plane Apps, services, orchestration, clustering, resilience
Cloud governance plane Identity, telemetry, lifecycle, subscriptions, OTA
Managed Apps
Sensor Adapter Service
Data / Messaging / Middleware
Service Mesh / Discovery / Observability
Resiliency / Replication / Redundancy
Security / RBAC / Encryption

Unified Data Fabric

Simultaneously ingests MQTT, ROS, Modbus, RTSP, HTTP/HTTPS, Serial/USB, BLE, sockets, and more through the Sensor Adapter Service.

Air-Gapped Operation

Runs fully autonomously without internet dependency, including offline updates and local artifact distribution.

1-Click AI Deployment

Supports containerized and non-containerized workloads with simplified app delivery, service discovery, and observability.

Elastic Cluster Scaling

Add or remove nodes wirelessly and rebalance workloads across the cluster with redundancy and failure tolerance.

Hardware Agnostic

Runs on Jetson Orin Nano/NX, Raspberry Pi CM5, and additional supported hardware without hard vendor lock-in.

BreadCrumb Advantage

Native Kinetic Mesh® integration enables multi-hop, self-healing connectivity with no central controller dependency.

Security Architecture

RBAC, OIDC SSO, ACL tokens, SSH certificates, encrypted communications, audit logging, and role-scoped operations.

Partner Ecosystem

Open platform for customer applications, third-party integrations, certified hardware partners, and marketplace expansion.

COWBELL HARDWARE VARIANTS

Purpose-Built Hardware for Fixed, Mobile, and Embedded Edge

Every Cowbell node runs CORA, delivering real-time AI processing, multi-node clustering, and resilient Kinetic Mesh® networking. Choose the form factor that matches your deployment — or bring your own compatible hardware.

INDUSTRIAL · HIGH-PERFORMANCE · AVAILABLE VIA EAP

EdgeCrumb Cowbell

ECB-MX-Y-NZ

A ruggedized industrial edge compute and networking appliance based on NVIDIA Jetson Orin Nano/NX or Raspberry Pi CM5, with embedded Rajant AG1 or DX5 BreadCrumb running CORA. Delivers up to 100+ TOPS of AI compute in a hardened enclosure built for static or mobile deployment in extreme environments.

EdgeCrumb Cowbell
DESIGNED FOR

Organizations running AI-intensive workloads in harsh, outdoor, or infrastructure-poor environments where uptime, security, and raw compute power are non-negotiable.

USE CASES
  • Automated surveillance and perimeter monitoring at ports, mines, and construction sites
  • Real-time safety analytics and worker health monitoring in oil & gas and industrial facilities
  • Asset tracking and anomaly detection across critical infrastructure
  • Defense and tactical edge compute in GPS-denied or disconnected environments
  • Computer vision and video analytics without cloud dependency
BUY WHEN

Your deployment demands high AI compute, rugged outdoor durability, embedded mesh networking, and multi-node clustering — and you need it to run fully autonomously without cloud connectivity.

DRONE · ROBOT · SWaP-C · AVAILABLE VIA EAP

Flying Cowbell

FCB-DX-Y-DX5Z

A SWaP-optimized, OEM-grade embeddable edge compute module based on Raspberry Pi CM5 with an integrated DX5 BreadCrumb weighing under 150g. Designed to ride inside drones, UGVs, AMRs, and mobile platforms — including as the embedded compute core of sQuare and Circle Cowbell variants.

Flying Cowbell
DESIGNED FOR

System integrators, OEM builders, and operators who need edge AI and mesh connectivity embedded directly in mobile platforms, without sacrificing size, weight, or power budgets.

USE CASES
  • Onboard AI inference and sensor fusion on aerial drones and ground robots
  • Tactical reconnaissance and situational awareness in field operations
  • Environmental monitoring and remote asset inspection via autonomous platforms
  • Emergency response where mobile, mesh-connected edge compute is required
  • OEM platform integration as the embedded intelligence core
BUY WHEN

You are building or operating mobile platforms — drones, robots, or vehicles — that need onboard edge AI and resilient mesh connectivity in a minimal Size, Weight, and Power footprint.

AMBIENT · INDOOR · LIMITED BETA

sQuare Cowbell

SCB-DX-Y-DX5Z

A wall-mounted ambient edge gateway and enterprise Wi-Fi access point with an embedded Flying Cowbell running CORA. Optimized for passive data collection, sensor aggregation, and site-level intelligence — with LED and touch display interfaces for glanceable status. No GPU, designed for large-scale, cost-effective indoor deployments.

sQuare Cowbell
DESIGNED FOR

Healthcare facilities, smart buildings, campuses, and elder care environments where ambient intelligence needs to be invisible, scalable, and easy to deploy across many rooms or zones.

USE CASES
  • Continuous ambient patient monitoring and fall detection in hospital wards
  • Room occupancy sensing and environmental control in smart buildings
  • Passive wearable data aggregation and BLE sensor collection across a facility
  • Automation triggers and glanceable status displays for clinical staff
  • Distributed edge intelligence across student housing, wellness, or care campuses
BUY WHEN

You need to deploy intelligent, always-on sensor collection and edge compute across many indoor spaces — at lower cost and power per node — where aesthetics and unobtrusiveness matter.

INTERACTIVE · PATIENT-FACING · LIMITED ALPHA

Circle Cowbell

CCB-DX-Y-DX5Z

A desktop interactive edge intelligence device with an embedded Flying Cowbell running CORA. Features a circular touch display and LED ring for near-field voice-activated and touch-based interaction — supporting AI-driven triage agents, real-time health alerts, VoIP consultation, and local sensor fusion without cloud dependency.

Circle Cowbell
DESIGNED FOR

Telehealth, elder care, and clinical environments where patients or at-risk individuals need an always-on, AI-powered care interface that operates locally and escalates intelligently.

USE CASES
  • AI-driven patient triage: symptom assessment, risk stratification, and care workflow guidance
  • Proactive alerts and escalation for elderly or high-acuity patients
  • VoIP-based real-time consultation between patients and remote care providers
  • Local visualization of multi-modal health data from wearables and environmental sensors
  • Conversational health agents for medication reminders, check-ins, and interventions
BUY WHEN

You are deploying interactive, patient-facing care intelligence — particularly in home care, elder care, or telehealth settings — where local AI and offline operation are critical to continuity of care.

BRING YOUR OWN HARDWARE

Already Have Compatible Hardware? Run CORA On It.

Cowbell's software stack is hardware-agnostic by design. CORA can be deployed on a broad spectrum of existing hardware — from ARM/Linux single-board computers and Intel x86 platforms to NVIDIA Jetson-based systems provided by OEM partners and system integrators. Breadcrumb integration is optional for third-party variants, giving you flexibility over your networking layer.

If you have an existing edge compute investment — a ruggedized server, a tablet fleet, or a custom-built platform — CORA may already be compatible. Reach out to RHI and we'll assess your hardware for Cowbell certification and integration support.

Contact RHI for Compatibility →
SUPPORTED HARDWARE TIERS
Entry Raspberry Pi / ARM Linux SBCs — sensing, automation, cost-sensitive deployments
Mid Intel x86 / Linux SBCs and tablets — UI stations, data kiosks, monitoring dashboards
Advanced NVIDIA Jetson series — AI inference, computer vision, anomaly detection at the edge
50+
Onboard Sensors

Biometric, motion, environmental, and contextual — fusable in real time at the edge.

5
Simultaneous Comms

BLE, Wi-Fi, LTE, Satellite, and NFC active concurrently across any environment.

100%
Raw Data & Open APIs

Full access to raw sensor waveforms via open APIs — no vendor lock-in, no dependency on a mobile device or cloud.

Modular
Hardware Architecture

Fast iteration and multiple form-factor packaging — wrist, arm, animal, and custom deployments.

300%

Improvement in pulse rate accuracy during exercise through patented motion artifact removal.

20%

Improvement in SpO2 estimation across skin tones via color-sensor-assisted sensor fusion.

Validated

Near-clinical-grade pulse rate and SpO2 demonstrated against reference clinical devices.

DEPLOYMENT FLEXIBILITY
IndividualMinutesBLE → mobile → LTE
Clinical1–2 days · Mobile/Cloud independentWi-Fi / BLE / LTE / Satellite
Occupational / Industrial1–2 days · Mobile/Cloud independentWi-Fi / BLE + Cowbell + Mesh
EcosystemDays–weeksAPIs + enterprise integration
QSTAT · MODULAR · WEARABLE · BIOSENSOR HUB

Clinical-Grade Intelligence. Anywhere.

QStat was purpose-built to overcome the limitations of consumer-grade wearables in mission-critical environments: no raw data access, motion artifacts degrading measurement quality, vendor lock-in, and unreliable connectivity in difficult RF conditions.

With 50+ configurable onboard sensors, patented Motion Artifact Removal, multi-modal communications, and hub capability for external BLE devices, QStat delivers continuous biometric intelligence for clinical, industrial, and operational use cases.

HARDWARE SPECIFICATIONS
BLE HUBUp to 14 simultaneous devices
DURABILITYIP67 / 5 ATM · MIL-STD-810G
ONBOARD STORAGE4–7 days
BATTERY>1 day + fast charging
UPDATESFOTA over Wi‑Fi or BLE
REGULATORY PATHFCC / IC pending · FDA pending
SENSOR SUITE DESCRIPTION LIVE DATAONLINE
PPG HR, SpO2, RR, HRV, raw waveforms 72 bpm · SpO₂ 98.2% · RR 16/min · HRV 42ms
9-Axis IMU Activity, falls, orientation, navigation X +0.12 Y −0.04 Z +0.98 g · Walking
GNSS GPS, GLONASS, Galileo, BeiDou 37.7749°N 122.4194°W · 12 sats · 1.4m CEP
ECG Spot ECG, v4+ raw waveform
GSR Skin conductance, stress and hydration context 4.2 µS · Low Stress
Skin Temp Continuous skin surface temperature 36.6 °C · → Stable
Barometer Altitude and event context 1013 hPa · 52m ASL
Color Sensor Monk Skin Tone (MST) scale detection for accurate SpO2 across all skin tones MST-04 · Medium · Calibrated
Proximity Skin contact compliance detection 1.8mm · ● On-skin
Audio Microphone and speaker −42 dBFS
BLE Hub Up to 14 simultaneous external BLE devices 5 / 14 linked · −67 dBm avg
+ and much more...
BREADCRUMB® DX5 · FINCH · KINETIC MESH® RADIO

The Mesh Backbone. In Any Platform. In Motion.

BreadCrumb DX5 is Rajant’s smallest and lightest mesh radio to date: a 40 × 78 mm board-level module weighing just 47g without heatsinks. It is purpose-built for UAVs, UGVs, autonomous systems, mobile surveillance, and embedded platforms where SWaP constraints matter.

Powered by Rajant’s patented InstaMesh® software, the DX5 forms and heals mesh connections autonomously and interoperates with the broader BreadCrumb ecosystem across distributed field networks.

WEIGHT · 47g bare / 72g with heatsinks
THROUGHPUT · 300 Mbps @ 2.4GHz · 420 Mbps @ 5GHz
MODELSDX5‑5224 (2.4 GHz 2×2 MIMO) · DX5‑5250 (5 GHz 3×3 MIMO)
DIMENSIONS40 × 78 × 10 mm
WEIGHT47g bare · 72g with heatsinks
MAX DATA RATE300 Mbps @ 2.4 GHz · 420 Mbps @ 5 GHz
TX POWER30 dBm @ 2.4 GHz · 27 dBm @ 5 GHz
POWER5 VDC via USB‑C or aux input · 2.5W idle to 20W max
INTERFACES1× GbE · USB‑C · USB‑C slave · GPS add-on capability
NETWORKINGVLAN · QoS · AP · Bridge · Gateway · DHCP · NAT · APT
SECURITYAES‑GCM / XSalsa20 encryption · GMAC / HMAC per-packet auth
OPERATING TEMP-40°C to +60°C

Drone Swarms

Coordinates communications across autonomous aerial fleets with lightweight board-level integration.

Ground Robotics & AMRs

Keeps mobile robots mesh-connected across dynamic indoor/outdoor environments and mixed terrain.

Mobile Command Posts

Extends mesh networking from fixed infrastructure to moving assets, operators, and distributed sensing nodes.

PLATFORM-ENABLED SOLUTIONS

From Infrastructure to Intelligence.

Built on Cowbell, QStat, and DX5, RHI’s solution layer delivers domain-specific systems for operational readiness, clinical research, oncology remote monitoring, and distributed edge decision support.

FLAGSHIP SOLUTION · OPERATIONAL · FORCE HEALTH PROTECTION

Operational Readiness Monitoring

MEMOS supports persistent crew and warfighter monitoring in maritime, expeditionary, and high-threat operational environments through passive physiological collection, environmental correlation, command-level dashboards, individual feedback, and longitudinal analytics validated in shipboard-representative Navy testing.

Shipboard-representative deployment Passive wearable monitoring Environmental hazard correlation
  • Continuous passive physiological monitoring
  • Environmental exposure correlation
  • Command dashboards and alerts
  • Individual-level mobile visibility
  • Fatigue risk and sleep analytics
TRL-7 · Operationally relevant capability
<4 hour deployment across 4 decks
20 QStat wearables + 19 environmental sensors
>200 Mbps through steel bulkheads and closed hatches
2-node failure tolerance in a 6-node cluster
Seamless passive BLE hub handoff demonstrated live
CLINICAL RESEARCH · TRANSLATIONAL SCIENCE · DEVICE VALIDATION

Clinical Trial Infrastructure

“MEMOS is not merely a data collection tool. It is a secure clinical intelligence operating system.”

Edge-native, air-gapped clinical trial infrastructure for intraoperative studies, perioperative monitoring, translational animal research, device validation, secure hospital-side AI workflows, and multi-omics expansion without public cloud dependency.

  • Supports secure study orchestration, device validation, and structured digital workflows under full institutional control.
  • Trovomics extends the stack into harmonized multi-omics workflows with shared sample metadata and physiological context.
ONCOLOGY RPM · HOME & COMMUNITY CARE

Accurate Patient Monitoring at Scale

RHI’s oncology monitoring model combines QStat and Cowbell to deliver continuous, patient-verifiable remote monitoring, flexible home-to-clinic data pathways, reduced manual check-ins via edge-native AI, and earlier adverse-event warning across distributed care environments.

  • Continuous patient-verifiable oncology monitoring
  • Flexible home, clinic, and research deployment patterns
  • Care-team dashboards and escalation workflows
  • Pilot-funded signal validation and alert refinement
  • Federated clinical trial capability and full data ownership
ACTIVE RESEARCH DOMAIN

CU Anschutz COMBAT TRIAD Lab

Fentanyl and CBRN exposure modeling using controlled physiologic datasets, blood biomarkers, and environmental inputs to inform translational pathways from preclinical models toward human applicability.

Non-invasive BP estimation Sedation depth modeling Cardiovascular instability prediction

Modular Multi-Species Hardware

Supports human subjects, large animal models, and custom research deployments without redesigning the sensing layer.

Clinical Workflow Modernization

Replaces handwritten documentation with structured digital annotation and publication-ready reporting workflows.

Validation & Calibration

Enables time-synchronized comparison to reference devices, calibration extraction, error modeling, and structured export.

Raw Waveform AI Research

Provides direct access to raw PPG, IMU, temperature, and environmental streams for feature engineering and modeling.

Closed-Loop AI Lifecycle

Supports local acquisition, training, deployment, active learning, and controlled model refinement under secure conditions.

Concurrent Multi-Subject Orchestration

Supports cohort-based trials, multi-arm studies, and parallel validation workflows with centralized coordination.

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.
Partner Ecosystem

Building with Best-in-Class Ecosystem Partners

RHI works with a growing ecosystem of technology, research, and platform partners to accelerate deployment of resilient edge intelligence solutions across mission-critical environments.

Partner ecosystem architecture showing Cowbell's distributed edge platform integrated with multi-modal data sources, network infrastructure, device partners, application partners, and systems of record.

Interested in integrating with RHI’s edge intelligence stack or building joint solutions?

Become an Ecosystem Partner
WHY JOIN THE ECOSYSTEM
  • Accelerate time to market by integrating into an existing edge platform instead of building the full stack yourself.
  • Expand your addressable use cases through joint solutions spanning connectivity, compute, sensing, AI, and applications.
  • Reduce integration friction with a platform designed to unify devices, data flows, orchestration, and operational workflows.
  • Increase strategic relevance by becoming part of larger deployable solutions rather than a standalone component.
  • Create stronger customer outcomes through interoperable offerings that are easier to deploy, manage, and scale.
JOINT VALUE OF BUILDING ON COWBELL
  • Cowbell turns partner technologies into operational solutions by connecting sensors, devices, apps, and infrastructure through one distributed edge platform.
  • Partners can focus on their differentiated capability while Cowbell provides the shared services needed for deployment, orchestration, resiliency, security, and scale.
  • Together, the ecosystem enables faster deployment in real-world environments where connectivity may be constrained, operations are distributed, and local execution matters.
  • The result is a more complete customer offering that combines partner innovation with edge-native infrastructure, operational visibility, and resilient data movement.
  • This creates joint value for customers and partners alike: faster adoption, broader solution scope, and a clearer path from pilot to production.

Current Ecosystem Partners

Each collaboration extends the stack in a distinct way, from resilient networking and edge AI to video intelligence, autonomy, and translational clinical research.

EARLY ADOPTER PROGRAM

Prove the Right to Scale.

The EAP is designed to generate credible deployment evidence, validate the ideal customer profile, refine delivery and support assumptions, and establish repeatable go-to-market learning before broad availability.

Learning over revenuePrioritize validated insight over short-term commercial optimization.
Speed over polishTest workflows and deployment assumptions quickly in real environments.
Evidence over opinionUse pilots, references, and documented outcomes to shape product maturity.
Temporary by designFocused early-access motion to inform scalable GTM, not a permanent operating model.
PROGRAM SHAPE
  • 1–2 defined use cases
  • 5–8 customers
  • High-touch delivery
  • Structured feedback loops
  • Conditional case study / reference rights
BEST FIT PROFILE
  • Mission-critical or hazardous environments
  • High urgency operational problem
  • Innovation appetite and active internal champion
  • Data infrastructure or integration readiness
  • Willingness to collaborate and share outcomes
DISQUALIFIERS
  • Procurement-led evaluation with no champion
  • SLA-heavy expectations at early stage
  • Broad custom app development demands
  • Unwillingness to participate publicly later
CONTACT US

Explore how RHI platforms fit your needs.

This intake helps us understand your operational needs, technical priorities, and areas of interest so we can tailor demonstrations, evaluations, and engagement models—including pilots, integrations, ecosystem partnerships, and participation in our Early Adopter Program (EAP).

STEP 1 / 5

Find Your Record

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Your Profile

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Environment & Use Case

Urgency & Technical Fit

Commercial & Collaboration Fit

Optional Notes

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