Selected Case Studies
Real engagements. Real outcomes. Delivered by dedicated expert teams.
Real-time Energy Optimization for Manufacturing
Energy costs were 19% of OpEx with no granular visibility into machine-level consumption.
IoT data ingestion + optimization engine + operator dashboards + automated setpoint recommendations.
14% reduction in energy per unit produced. ROI achieved in 7 months.
Smart Grid Load Balancing Dashboard
Grid operators lacked real-time visibility into distributed energy resources (DERs).
High-throughput data pipeline and real-time visualization platform for grid health and predictive load balancing.
Grid stability improved. Peak load shedding efficiency increased by 22%.
Carbon Emission Tracking & ESG Reporting
Manual spreadsheet-based carbon accounting was inaccurate and took weeks to compile for audits.
Automated ESG platform integrating with utility APIs and ERP systems to calculate Scope 1, 2, and 3 emissions.
Reporting time cut from 4 weeks to 2 days. Audit accuracy improved to 99.9%.
Predictive Maintenance for Wind Turbines
Unexpected turbine failures caused massive downtime and expensive emergency repairs.
Machine learning models analyzing vibration, temperature, and acoustic sensor data to predict component failures.
Unplanned downtime reduced by 35%. Maintenance costs lowered by $2.4M annually.
Solar Yield Forecasting Engine
Inaccurate weather and yield forecasts led to suboptimal energy trading decisions.
Advanced forecasting engine combining satellite imagery, weather APIs, and historical generation data.
Forecast accuracy improved by 18%. Energy trading revenue increased by 9%.
Peer-to-Peer Energy Trading Platform
Microgrid participants had no secure way to trade excess solar energy locally.
Secure, high-performance trading ledger with automated smart contracts for clearing and settlement.
Enabled local energy trading for 5,000+ households. Reduced reliance on main grid by 15%.