Swedish firm Nodeledge has expanded its AI-powered IoT platform for managing smart buildings.

Called Sensor-Online, it lets property owners and industrial operators monitor energy, environment and infrastructure with LoRaWan sensors. The expansion provides AI-driven analysis via Claude integration.

Property managers, municipalities and industrial operators gain a cost-effective method for real-time monitoring of energy consumption, indoor climate, water and critical infrastructure.

Sensor-Online supports various communication protocols including LoRaWan, NB-IoT, M-Bus, Modbus, OPC-UA and MQTT, enabling wireless sensor deployment at a fraction of the cost of traditional cabled installations. Users have reported installation cost savings of up to ten times that of a conventional wired system.

The platform is used by organisations including Akademiska Hus, Boliden Minerals, Diös Fastigheter and Sweco Sverige. Akademiska Hus alone has deployed between 20,000 and 40,000 LoRaWan sensors across its properties using the Sensor-Online infrastructure.

A key differentiator is AI integration, which connects the platform’s Rest API to Claude AI via the MCP model context protocol. This allows facility managers and analysts to query live sensor data, perform energy analysis, correlate readings against weather data from SMHI and generate EED-compliant sub-metering reports, all using natural language.

“We built Sensor-Online to make IoT data accessible and actionable,” said a spokesperson for Nodeledge (nodeledge.se). “By combining wireless sensor infrastructure with AI-driven analysis, our customers can identify energy waste, ensure compliance and make smarter decisions faster.”

Sensor-Online (sensor-online.se) is available as both a SaaS offering and on-premises docker deployment, making it suitable for organisations with strict data sovereignty requirements, an increasingly important factor under NIS2 regulations.