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. Container virtualization ensures hardware independence and seamless integration with both new systems and legacy controllers.
LF Edge EVE-OS for bare-metal virtualization with anti-bricking updates, and Zephyr for deterministic sensor control. A complete stack from microcontroller to edge intelligence.
Sensor-to-Whitebox via MQTT. Whitebox-to-Whitebox peer-to-peer mesh using Zenoh for resilient data routing. Monitor nodes performance and reliability with an intuitive dashboard.
Raw data never leaves your facility. Images and data remain 100% local. Only model weights travel between nodes via Federated Learning, 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 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.
Contact us if you have questions or want to learn more. info@arcen-research.com
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