Problems Solved

ModularIoT addresses fundamental challenges in IoT fleet management that traditional approaches struggle with.

The Data Heterogeneity Problem

Fleets use devices from multiple manufacturers, each with proprietary protocols and data formats. ModularIoT normalizes this chaos into a canonical data model.

The Alert Fatigue Problem

Simple threshold-based alerting creates noise that operators ignore. ModularIoT’s symptom model provides stateful, contextual detection that surfaces what actually matters.

The Visibility Gap

Raw telemetry is meaningless without operational context. ModularIoT transforms data into insights that operators can act upon.

The Scale Challenge

Processing telemetry from thousands of devices in real-time requires purpose-built infrastructure. ModularIoT is designed for high-throughput from the ground up.

The Integration Burden

Every new device type or system requires custom integration work. ModularIoT’s driver architecture standardizes this process.