Problem
A portfolio of commercial buildings had outdated BMS (Building Management Systems) with no integration between HVAC, lighting, access control, and energy metering. Energy costs were 30% above industry benchmarks.
Approach
We designed a unified IoT layer that bridged legacy BMS protocols (BACnet, Modbus) with modern cloud infrastructure. An AI-driven optimization engine balanced comfort, energy efficiency, and occupancy patterns in real time.
Outcome
22% reduction in energy consumption. Occupant satisfaction scores increased by 35%. Full ROI achieved in 14 months.
22%
reduction in energy consumption
14
months
Technology Stack
- Protocol bridges (BACnet/Modbus to MQTT)
- Kubernetes-based cloud platform
- Time-series analytics (Apache Kafka, ClickHouse)
- Reinforcement learning for HVAC optimization
- Mobile app (React Native)
Ready to build?
Let's discuss how we can engineer the right system for your use case.