Hardware-software framework for distributed edge systems enabling federated learning for data-secure, cross-device machine learning with modular hardware for seamless field deployment
Shifting computation to the edge with specialized Whitebox units equipped with NPU accelerators for real-time processing at the data source. WebAssembly-based container virtualization ensures hardware independence and seamless integration with both new systems and legacy controllers.
Resilient, real-time, visual: Node-RED for low-code IoT orchestration, LF Edge EVE-OS for bare-metal virtualization with anti-bricking updates, and Zephyr RTOS for deterministic sensor control. A complete stack from microcontroller to edge intelligence.
Sensor-to-Whitebox via Modbus, MQTT, LoRaWAN with EDIP security wrapper. Whitebox-to-Whitebox peer-to-peer mesh using Zenoh/NATS for resilient data routing. GraphQL API for human interface. Complete protocol stack from physical sensors to dashboard.
Code-to-Data paradigm: raw data never leaves your facility. Vibration patterns and video streams remain 100% local. Only model weights travel between nodes via Foundation Learning Protocol, enabling collective intelligence without exposing trade secrets.
Transform maintenance from cost center to profit center. Monetize trained AI models as licensable software containers through a digital marketplace with trust scores. Trade process knowledge without revealing production data—new revenue streams from your expertise.
Isolated local 5G campus networks enable optional air-gap operation with complete physical separation from the public internet. Maximum security for sensitive industrial environments while maintaining high-performance wireless connectivity across your facility.
Cloud-first architectures dominate current IIoT solutions, requiring massive transfer of raw production data to external data centers. This creates two critical vulnerabilities: high latency (often over 100ms) that's too slow for safety-critical real-time interventions, and loss of control as sensitive production data leaves the local firewall, risking interception or third-party processing that endangers trade secrets.
Fog Computing
NPU Accelerators
WebAssembly Containers
Local 5G Networks
Federated Learning
Air-Gap Operation
Field-grade Whitebox units (shoebox size) with CPU orchestrator for UI and OS, GPU/TPU accelerators for AI inference, and MCU for power-saving standby mode. Smart power management: MCU handles simple tasks, triggering powerful processors only when needed.
Three-layer OS stack: Node-RED for visual low-code IoT flows, LF Edge EVE-OS for bare-metal virtualization with anti-bricking updates, and Zephyr RTOS for deterministic real-time sensor control. Complete resilience from edge to cloud.
Digital marketplace for trained AI models with trust score validation. Monetize your process expertise as licensable software containers. Transform maintenance data from cost center to profit center without exposing proprietary production data.
Contact us if you have questions or want to learn more. info@arcen-research.com
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