EdgeFabric.ai is Lantronix’s visual orchestration platform designed specifically for Open-Q™ SOMs. Whether it’s smart surveillance, industrial monitoring, or edge analytics, EdgeFabric.ai brings together AI, hardware, and speed — all without writing a single line of code.

• Design workflows visually
• Integrate pre-trained or custom AI models seamlessly
• Deploy securely in minutes, not months

A transparent, layered architecture with flowing connections between software, hardware, and AI models.

• Software Layer – Visual Orchestration
• Frameworks: TensorFlow Lite, SNPE DLC, PyTorch, ONNX, and more​
• Model Hubs: Edge Impulse, Qualcomm AI Hub, Hugging Face
• Hardware Layer – Open-Q™ SOMs

Each layer communicates through optimized data streams, ensuring maximum performance and minimal latency for edge AI applications.

EdgeFabric.ai isn’t just compatible — it’s custom-built to power Lantronix Open-Q™ SoMs as a seamless ecosystem.

• Optimized Performance: Tailored Dragonwing™ AI acceleration
• Secure Deployments: Hardware-locked & encrypted
• Proven at Scale: Trusted in transport, industrial & defense sectors

Smart City Deployment

Challenge: Deploy 500+ AI-powered cameras across downtown district with real-time analytics for traffic, safety, and crowd management.

Solution: EdgeFabric.ai’s visual orchestration platform with Open-Q™ SOMs enabled rapid deployment of license plate recognition, pedestrian safety detection, and anomaly alerts across the entire network.

Upside: Up to 85% faster deployment, 40% improved processing efficiency, and seamless integration with existing city infrastructure.