Three Platforms.
One Operational Fabric.

Rajant Health Incorporated (RHI) is a distributed edge intelligence company. RHI unites wearable biosensors, resilient Kinetic Mesh® networking, and distributed edge compute to deliver real-time, AI-enabled decision support in mobile, connectivity-constrained, mission-critical operations.

Cowbell is Rajant Health’s distributed edge compute platform, built on the CORA + ATLAS architecture. CORA executes AI workloads autonomously at the edge while ATLAS governs lifecycle, identity, and fleet control from the cloud. Hardware variants include EdgeCrumb Cowbell, Flying Cowbell, sQuare, and Circle.

QStat is Rajant Health’s wearable biosensor hub with 50+ configurable sensors for clinical-grade monitoring in mobile, mission-critical environments. It combines patented Motion Artifact Removal, multi-modal communications, and hub capability for external BLE devices.

CORA is the edge runtime of the Cowbell platform. It runs on every Cowbell node and manages orchestration, data movement, real-time AI processing, and autonomous execution under disconnected conditions.

ATLAS is the cloud governance plane of the Cowbell platform. It provides identity, telemetry, lifecycle control, and commercial operations for fleets of CORA-powered edge nodes.

DX5 Finch is Rajant’s smallest and lightest BreadCrumb — a 47 g board-level Kinetic Mesh® radio module. It embeds resilient mesh networking into UAVs, UGVs, mobile robotics, and distributed edge platforms operating in motion.

Kinetic Mesh® is Rajant’s wireless mesh networking technology. Powered by patented InstaMesh® software, it forms and heals multi-hop network connections autonomously with no central controller dependency, keeping mobile assets connected while in motion.

RHI’s three platforms operate as one fabric: QStat biosensors capture physiological data, DX5 Finch Kinetic Mesh® radios move it across self-healing networks, and Cowbell edge compute runs AI decision support where the data is generated. Deployed together, they deliver real-time awareness without depending on cloud connectivity.

Distributed edge intelligence runs AI processing directly on devices at the point of data collection instead of in a remote data center. Unlike cloud-first AI, it keeps sensing, inference, and decision support operational when bandwidth is constrained or connectivity is lost entirely.

Every Cowbell node runs CORA, which continues orchestration and AI execution under fully disconnected conditions, while Kinetic Mesh® networking self-heals across multiple hops without central infrastructure. Bandwidth-aware partner applications such as Videosoft Global video delivery keep critical data moving over constrained links.

In defense and tactical operations, RHI’s MEMOS solution supports persistent crew and warfighter monitoring through passive physiological collection, environmental correlation, and command-level dashboards. MEMOS has been validated in shipboard-representative Navy testing.

In healthcare, RHI combines QStat and Cowbell for continuous remote patient monitoring, including an oncology model with flexible home-to-clinic data pathways and earlier adverse-event warning. Cowbell also provides an edge-native, air-gapped execution layer for smart-hospital and clinical-trial workloads.

In mining and industrial operations, Cowbell applications run over Rajant mesh for worker safety monitoring, teleoperation of remote rigs and inspection robots, and predictive maintenance from equipment telemetry — in environments where fixed connectivity is unavailable.

For robotics, drones, and swarm autonomy, the 47 g DX5 Finch embeds Kinetic Mesh® connectivity into aerial and ground platforms while Cowbell runs onboard AI inference and sensor fusion. This keeps mixed fleets coordinated across dynamic indoor and outdoor environments.