ecorize

ecorize starts from the meters a plant already has. Data may arrive from control systems, a CSV export or a monthly reading entered through a QR code, and the product says which questions that data can already answer and where another meter would pay off.

Each reading is placed in a digital twin of the plant. The AI then looks for base load, rest-day load and start-up peaks, and each finding comes with an amount in euros, the energy involved, CO2 and a stated confidence.

Questions put to plant staff

Where the data runs out, the AI asks a targeted question of the people who know the equipment. The example on the site has it ask maintenance why a dryer stays at about 190 kW on rest days, and the answer is stored as context that can be corrected later.

Prices, flexibility and subsidies

The product weighs load shifting against day-ahead prices, using examples such as pre-cooling and filling compressed-air storage. It also relates peak loads to the capacity charge and addresses a federal subsidy rule under which at least half of the grant has to go into efficiency, flexibility or renewables within four years.

Standards and works council

ISO 50001, EMAS and the German energy efficiency act (EnEfG) run on the same dataset, with the energy review, EnPIs and manual generated from the twin. The site stresses that it evaluates machines, halls and meters rather than persons, which eases talks with a works council.

Limitations to Consider

The website is in German only, and the examples centre on German rules such as EnEfG and grid-fee reform, so a plant elsewhere in Europe gets less direct benefit. There is no public price and no hosting region on the pages checked. ecorize does not supply sub-meters, so a plant with sparse metering still needs hardware from elsewhere, for instance Sensorfact.

Who Should Use ecorize

Mid-sized German manufacturers with several hundred meters, an ISO 50001 duty and an interest in shifting loads to cheaper hours.