Intelligent Edge Computing Solution for Industrial IoT
Edgent is our lightweight, containerized edge computing platform
designed to run on resource-constrained devices. Perfect for
distributed deployments, remote sites, and IoT applications where
bandwidth is limited.
Built with Docker and Kubernetes support, Edgent enables edge
analytics, local data processing, and intelligent filtering before
sending data to the cloud or central servers.
Runs on devices with as little as 256MB RAM. Deploy on Raspberry Pi, industrial PCs, or embedded Linux devices. Minimal resource footprint for maximum efficiency.
Deploy TensorFlow Lite and ONNX models at the edge for real-time anomaly detection, predictive maintenance, and quality control without cloud connectivity.
Continue operating during network outages with local data buffering and store-and-forward capabilities. Synchronize automatically when connectivity is restored.
Packaged as Docker containers with Kubernetes support. Easy deployment, scaling, and management across distributed edge infrastructure.
| Feature | Starter | Professional | Enterprise |
|---|---|---|---|
| Data Points | 50 | 500 | Unlimited |
| Device Licenses | 1 device | 10 devices | Unlimited |
| Edge Logic | Basic rules | Advanced + Python | Full scripting + ML |
| Protocol Support | MQTT, HTTP | All protocols | All + Custom |
| Remote Management | Manual | Web console | Fleet management |
| OTA Updates | Manual | Automatic | Zero-touch |
| Support | Community | Email + Phone | 24/7 Dedicated |
Deploy intelligent edge computing in minutes with Edgent.
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