Celerenergy provides a cloud‑based energy management platform that consolidates real‑time consumption data from smart meters, sensors, and legacy systems into unified dashboards. It uses AI‑driven analytics and predictive modeling to detect anomalies, forecast demand, and generate actionable recommendations for equipment upgrades and operational adjustments, helping facilities managers improve efficiency, meet sustainability targets, and streamline ESG reporting.
Funding
Funding not disclosed
Founders
Product
Problem
Organizations seeking to reduce energy consumption and carbon emissions often lack integrated tools to monitor, analyze, and optimize their energy usage across multiple facilities.
Solution
Celerenergy offers a cloud-based energy management platform that aggregates real-time consumption data from diverse sources, applies analytics to identify inefficiencies, and provides actionable recommendations for optimization. The system integrates with existing building management and IoT devices, delivering dashboards and automated alerts to help facilities managers track performance against sustainability targets. By combining data visualization with predictive modeling, Celerenergy enables users to prioritize interventions, forecast savings, and report compliance with regulatory standards.
Target Audience
Primary customers are commercial real estate owners, industrial facilities, and large enterprises that manage multiple sites and aim to improve energy efficiency and sustainability reporting.
Features
- Unified data ingestion from smart meters, sensors, and legacy systems via API connectors
- Real-time dashboards with customizable KPIs for energy, water, and carbon metrics
- AI-driven anomaly detection and predictive analytics for demand forecasting
- Automated recommendation engine suggesting equipment upgrades and operational adjustments
- Exportable reports compatible with ESG and regulatory reporting frameworks