Deploy our Edge Client via Docker on any compatible system. Collect data from multiple protocols, control transmission timing, and perform pre-calculations at the edge for optimal performance.
Connect to any industrial protocol - Modbus, OPC-UA, BACnet, and more
Control when and how data is sent with proprietary compression reducing size to 30-40%
Perform calculations and filtering at the edge to reduce bandwidth and latency
Deploy on any Docker-compatible system - Linux, Windows, ARM processors, and industrial PCs
Configure rules to determine when data should be sent to the cloud platform
Process data locally for real-time responses while sending aggregated results to the cloud
Our Edge Client speaks the language of industrial equipment. Connect to virtually any device or system using industry-standard protocols.
Connect to PLCs, meters, and industrial devices
Modern industrial communication standard
Building automation and HVAC systems
IoT devices, custom protocols, and REST APIs
Our Edge Client is containerized for maximum portability and easy deployment across any Docker-compatible system and processor architecture.
Download the latest Edge Client image from our registry
Set up protocols, data sources, and transmission rules
Start collecting data with full monitoring capabilities
docker run -d --name controlcom-edge \
-v /config:/app/config \
-p 8080:8080 \
controlcom/edge-client:latestPanel PCs, embedded systems
Linux, Windows servers
Raspberry Pi, IoT gateways
VMware, Hyper-V, KVM
Our Edge Client uses a proprietary compression algorithm specifically designed for industrial data, reducing transmission size to just 30-40% of the original data volume.
Only send data when it matters. Configure rules based on value changes, thresholds, or time intervals.
Perform real-time calculations locally for immediate insights and reduced cloud processing.
Dictate exactly when and how data is sent to the platform with proprietary compression reducing data to 30-40% of original size.
Deploy Edge Clients at remote facilities to collect production data from multiple PLCs and systems, perform local efficiency calculations, and transmit only critical insights to headquarters.
Monitor water quality parameters from SCADA systems, calculate treatment efficiency in real-time, and send alerts only when parameters exceed thresholds.
Collect data from generators, calculate power efficiency metrics locally, and transmit aggregated performance data to optimize fleet-wide operations.
Integrate with BACnet systems to monitor HVAC performance, calculate energy efficiency, and optimize operations while reducing cloud data transfer costs.
Start collecting data from any protocol, perform edge calculations, and control exactly what gets sent to the cloud with our containerized Edge Client.