An IoT energy monitoring system for commercial buildings — smart-meter telemetry, anomaly detection and client-facing analytics that turn billing data into operational insight.
Representative engagement — anonymised and illustrative. It describes the kind of problem we solve and the platform we build, not client-confidential performance data.
An energy management company serving commercial buildings had no real-time visibility into facility energy consumption. Monthly billing data arrived too late to act on, equipment faults went undetected for weeks, and clients were frustrated by the lack of actionable insights.
We deployed an IoT-based monitoring system with smart meters feeding real-time data into a cloud platform. The system includes ML-based anomaly detection to identify equipment faults, predictive models for demand forecasting, and automated alerts for consumption spikes. A client-facing dashboard provides real-time and historical energy analytics.
Real-time smart-meter data replaces after-the-fact monthly billing analysis
ML anomaly detection flags equipment faults before they become failures
Consumption-spike alerts make action possible while it still matters
Client dashboards turn raw meter data into understandable energy analytics
Design and build of an AI-assisted claims processing platform that replaces a decade-old manual workflow with digital intake, automated data extraction and rule-based routing.
Product strategy, architecture and delivery of a multi-tenant property-management SaaS — taking a founding team from vision to a production platform with secure rent payments.
