At DataTheta, we empower energy and utilities organizations with AI-enriched analytics that deliver real-time visibility, predictive insights, and operational efficiency across the entire energy value chain. From forecasting demand, managing grid performance, optimizing asset utilization, to tracking sustainability metrics, we transform raw sensors, SCADA, IoT, and operational data into actionable intelligence. DataTheta cloud-native, industry-ready analytics solutions enable energy enterprises to reduce risks, improve reliability, minimize losses, and drive cost-effective, sustainable operations with confidence.



At DataTheta, we help energy providers, utilities, and renewable enterprises unlock the full potential of their operational, sensor, IoT, and grid data. We design cloud-native, analytics-ready architectures that enable real-time monitoring, predictive maintenance, demand forecasting, sustainability reporting, and energy efficiency optimization. With deep expertise in AI, big data, and industry compliance, we deliver insights that reduce operational risk, improve asset performance, and support smarter, greener energy strategies- driving both profitability and sustainability.
1. Energy Data Discovery & Infrastructure Assessment
We begin by analyzing your existing energy data sources, assets, meters, SCADA systems, IoT devices, and operational workflows to design a unified analytics strategy.
2. Data Integration, Warehousing & Real-Time Pipeline Setup
We build secure, cloud-native pipelines to consolidate streaming, sensor, operational data into centralized analytics-ready data warehouse or lakehouse.
3. Advanced Analytics, ML, and Predictive Modeling Deployment
Our data scientists develop AI models to forecast energy demand, detect anomalies, optimize asset performance, and predict maintenance needs using real-time insights.
4. Interactive Dashboards and Operational Intelligence Delivery
We build intuitive BI dashboards and digital twins that offer real-time monitoring, cost tracking, energy consumption patterns, grid efficiency, and asset performance KPIs.
5. Governance, Automation & Continuous Energy Optimization
We implement governance, compliance, cost control, automated decision systems to continuously optimize energy usage, sustainability, and business outcomes.







Energy analytics uses AI, data science, and IoT to help track energy consumption, forecast demand, optimize grid operations, predict asset failures, reduce waste, and improve sustainability. This makes the energy smarter and more efficient.
Yes. We integrate SCADA, smart meters, BMS systems, energy sensors, and IoT platforms to build live energy dashboards, anomaly detection, and predictive analytics for utility, industrial, and smart city applications.
AI models analyze real-time and historical data to accurately forecast seasonal, hourly, and event-based energy demand, helping optimize supply, reduce outages, and improve pricing decisions.
Analytics helps monitor solar, wind, bioenergy, and grid-connected renewables across production, usage, storage, and emissions - enabling ESG reporting, compliance monitoring, and carbon footprint tracking.
DataTheta designs secure architectures with ISO 27001, GDPR, NIST, and SOC2-compliant controls, including encryption, access policies, IAM, and threat prevention, ensuring maximum data protection.