The platform European chemical companies use to unify, simplify and automate their energy procurement.










































Energy and load forecasting – Forecast the energy demand of production plants, process heat, steam supply, refrigeration and compressed-air systems, taking production schedules, seasonal effects and planned plant operation into account.
Procurement and flexibility recommendations – See when energy should be bought, hedged or used flexibly. Flexibility from electrolysers, refrigeration, power-to-heat systems or other controllable processes can be matched to power prices and grid conditions.
Benchmarking of plants and sites – Compare energy consumption, specific consumption and costs across your plants, production lines and process areas to reveal efficiency potential and particularly cost-intensive assets.
Consumption and variance analysis – Analyse energy consumption by plant, asset, production line and energy carrier. Deviations between planned and actual consumption are detected early and can be linked to production volumes, recipes, asset states or downtime.
Coverage Tracker – Monitor for which sites, periods and energy products expected demand is already hedged, avoiding supply gaps, poor procurement timing and unnecessary price risk.
Consumption and load steering – Identify and use flexible processes without compromising production safety or quality requirements. Energy-intensive operations can be shifted or optimised within defined time windows to reduce load peaks and use grid capacity more efficiently.
Cross-site coordination – Create a shared data basis for production, energy management, procurement and controlling, so energy demand across several plants can be consolidated and decisions coordinated centrally.


Market Analytics & Alerts – Track power and gas prices, grid fees, CO₂ costs and relevant regulatory developments. Early warnings make cost risks and required action visible.
Automated energy and operating data capture – Consolidate meter readings, production data, asset states, energy costs and emissions KPIs in one central overview, reducing manual data preparation and error-prone transfers.
Automated procurement and trading processes – Support the structured capture, evaluation and execution of procurement decisions, looking at price trends, forecast demand and available flexibility together.
Decarbonisation analysis – Assess how changed operating modes, renewables, electrification and flexible processes affect costs and emissions, so decarbonisation measures can be prioritised economically.
Reporting – Create standardised reports for management, energy management, production, procurement and controlling. Transparent KPIs on consumption, specific energy intensity, costs, CO₂ emissions and utilisation provide a solid basis for operational and strategic decisions.

