Connect, move, and process your IoT data in real-time at the edge, integrating seamlessly with AI/ML algorithms and cloud services.
Connect diverse industrial devices and sensors with 80+ industrial protocols, including Modbus, OPC-UA, Ethernet/IP, and more, converting to MQTT for real-time data communication.
Enhance the real-time data exchange between devices, edge systems, and cloud services using MQTT's reliable, lightweight, and efficient pub-sub messaging.
Process and react to data based on predefined conditions. Enable edge automation and real-time decision-making for improved efficiency and responsiveness.
Process and analyze continuous data streams from multiple sources at the edge. Reduces latency, saves bandwidth, and offloads computational tasks from the cloud platform.
Integrate with AI tools and apply ML models at the edge to enable predictive analysis and intelligent decision-making in real-time.
Integrate seamlessly with cloud services by transferring real-time data from the edge to cloud storage, machine learning, and analytics systems.
In autonomous vehicles, edge computing with MQTT enables quick, safety-critical decisions and efficient communication, enhancing performance while reducing reliance on constant cloud connectivity.