Energiency offers a data‑driven energy management platform for industrial manufacturers that consolidates fragmented energy and production data into a unified, real‑time dashboard with customizable KPIs and ISO 50001‑compliant reference models. The solution combines automated data integration, AI‑powered digital twins and regression models, and expert coaching to identify inefficiencies, trigger alerts, and implement concrete energy‑saving actions, delivering rapid cost reductions and CO₂ emissions cuts.
Funding
$5.1M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
4OEFounders
Product
Problem
Industrial manufacturers often struggle to reduce energy consumption and CO₂ emissions because their energy data is fragmented across multiple systems, lacking real-time analysis and actionable insights. This makes it difficult to identify inefficiencies, comply with standards like ISO 50001, and achieve measurable cost savings.
Solution
Energiency provides a data‑driven energy management platform that consolidates existing industrial data without requiring additional sensors. The software offers predefined dashboards, alerts, and customizable KPIs to monitor process and utility efficiency. Energy Managers and Data Scientists work alongside plant teams to configure the system, develop AI‑based models such as digital twins and regression references, and translate analytics into concrete energy‑saving actions. The solution scales from basic data integration to advanced AI‑enhanced optimization, delivering rapid ROI—often within a year—while supporting long‑term decarbonization goals.
Target Audience
Primary customers are industrial manufacturers and plant operators seeking to improve energy efficiency, including energy managers, process engineers, and sustainability teams across sectors such as steel, chemicals, paper, automotive, and food production.
Features
- Automated integration of heterogeneous energy and production data sources into a unified platform
- Real‑time dashboards with process‑specific energy KPIs and ISO 50001‑compliant reference models
- AI‑powered digital twin and regression models that identify influential consumption factors and forecast savings
- Alert system that detects over‑consumption events and suggests corrective actions
- Dedicated Energy Managers and Data Scientists who configure the software, coach plant staff, and co‑develop bespoke algorithms
- Flexible service tiers (Data integration, Deepen, Accelerate) matching the client’s energy‑maturity level