IoT Is an Integration Problem First
Organizations buy sensors, devices, and gateways expecting data to flow into their systems. Instead they get a pile of devices speaking different protocols, sending data in different formats, at different rates, to different places. The devices are easy to buy. Making them useful is the hard part.
IoT integration is the work of connecting devices to applications in a way that is reliable, scalable, and secure.
What We Build
- Device connectivity — Connect devices across MQTT, HTTP, CoAP, WebSockets, BLE, LoRaWAN, cellular, and industrial protocols. Handle device authentication, certificate management, and secure communication.
- Data ingestion pipelines — Ingest telemetry at scale: millions of messages per second, buffered and delivered reliably. Handle device offline/reconnect, message ordering, and duplicate suppression.
- Edge processing — Process data at the edge when latency, bandwidth, or connectivity requires it. Filter, aggregate, and act on data close to the source.
- Device management — Provision, configure, monitor, and update devices at scale. Track device health, firmware versions, and connectivity status.
- Data platform integration — Deliver IoT data to your data lake, time-series database, analytics platform, or applications. Structured, queryable, and ready for dashboards and models.
- Actionable insights — Alerting, anomaly detection, predictive maintenance, and automation triggered by IoT data. Make the data drive actions, not just dashboards.
Protocols and Platforms
We integrate with AWS IoT, Azure IoT Hub, Google Cloud IoT, Kafka, InfluxDB, TimescaleDB, and custom device fleets. We work with MQTT, CoAP, HTTP, OPC-UA, Modbus, BLE, LoRaWAN, and cellular IoT protocols.