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AI AnalysisClassification & Focus Areas
"Industrial energy analytics platform leverages AI-driven anomaly detection and human coaching to reduce consumption — adopted by large manufacturers."
Domain Affinity
Technology Breakdown
Offerings Products & Services
Energiency Energy Intelligence Software
Artificial intelligence-powered software for industrial energy performance analytics that consolidates existing data, models energy consumption, and identifies new energy savings and CO2 reductions without requiring additional hardware or CAPEX.
Case StudiesReferences & Success Stories
Energiency and Dena Energy forge strategic partnership to roll-out AI-driven analytics for industrial energy efficiency in the United States
Energiency partnered with Dena Energy, a US-based energy efficiency consultancy, to integrate AI-driven analytics into their audits, aiming to help manufacturing clients reduce energy consumption and costs.
Enovos Energie Deutschland selects Energiency’s AI to boost the accuracy of its energy consumption forecasts
Enovos Energie Deutschland deployed Energiency's EN-SURE AI forecasting tool to improve accuracy of energy consumption forecasts, reducing imbalance costs in electricity trading.
ArcelorMittal choisit l’intelligence artificielle d’Energiency pour économiser l’énergie de la fabrication de ses bobines d’acier
ArcelorMittal signed a 3-year contract with Energiency to achieve at least 5% annual energy savings at its Geel steel plant by leveraging real-time AI-driven performance analytics.
Follow-up of operational instructions: operational management of a mixed coal-gas industrial boiler plant
A large chemical/energy company operating a boiler house with an annual energy bill of approximately €100M implemented Energiency for real-time operational guidance, achieving 0.4% savings through improved boiler management.
Success Story: DS Smith reduces excess steam consumption by 3.9 % thanks to Energiency
DS Smith's Contoire-Hamel packaging site used Energiency's AI and over 500 meters to reduce excess steam consumption by 3.9%, achieving thousands of euros in savings without heavy investment.