Connect every equipment and device in your facility — regardless of vendor or protocol. One centralized telemetry data collection plane that allows data collection on-premises or in the cloud.
Connect equipment from any manufacturer — ASML, Applied Materials, Lam Research, KLA, Dell, HPE, Cisco, and more. No proprietary adapters or vendor-specific middleware required.
Native support for major industrial and IoT protocols including OPC UA, MQTT, SECS/GEM, Redfish, SNMP, and OpenTelemetry — with extensible connectors for proprietary protocols.
Deploy on-premises for air-gapped facilities, in the cloud for elastic scale, or hybrid — with edge preprocessing that reduces bandwidth by up to 30%, while preserving full-fidelity data for AI analytics.
TelemetryConnect™ AI speaks the language of your equipment and translates it on cloud
| Protocol | Industry | How it is used |
|---|---|---|
| OPC UA | Manufacturing | Equipment sensor data, process control, PLC integration |
| SECS/GEM | Semiconductor | Wafer processing equipment, recipe management, alarm reporting |
| MQTT | IoT / Edge | Lightweight sensor telemetry, medical devices, remote equipment |
| Redfish | Data Center | Server BMC telemetry, chassis management, firmware monitoring |
| SNMP | Networking | Network device monitoring, switch/router health, traffic metrics |
| OpenTelemetry | Cloud / Hybrid | Application-level metrics, traces, logs from cloud-native services |
Ingest 5,000+ data points per second per equipment with sub-second latency. Distributed stream processing ensures no data is lost during peak loads.
Filter, aggregate, and compress sensor data at the edge before transmission. Reduce network bandwidth while keeping full-resolution data available on demand.
Automatically discover connected equipment, sensors, and data points. AI agents map new devices to the equipment ontology without manual configuration.
See how TelemetryConnect™ AI can unify your equipment data — regardless of vendor, protocol, or type of equipment.