About us

Industry 4.0, energy and process optimization

Challenges

We are looking for a solution that leverages artificial intelligence (AI) to optimize the operation of small steam-powered flow machines, such as turbines or process drives. The expected system should operate based on modules mounted directly on steam valves, enabling real-time regulation to adjust machine performance to the optimal operating point.

The solution should learn the operating characteristics of the equipment and automatically adapt its settings to minimize energy consumption and improve operational efficiency. It should be capable of functioning either through integration with a DCS system or as a standalone “black box” solution that requires no changes to the existing automation infrastructure. Due to installation in potentially explosive environments, ATEX compliance is required. We are looking for a system ready for pilot deployment in an industrial setting.

We are seeking a solution that enables the optimization of the company’s procurement decisions through market data analysis, scenario simulation, and management of price, contractual, and volume risks. The tool should include functionalities/modules such as gas price forecasting, development of hedging scenarios, contract portfolio management, price risk management, operational recommendations, and reporting.

We are looking for a solution that enables real-time prediction of the flash point of diesel fuel during the blending process in a tank fed by multiple component streams with varying quality parameters. The goal is to develop a predictive algorithm that uses process data from each stream to provide a continuous forecast of the flash point in the currently blended tank.

The solution should be based on a soft sensor approach, leveraging genetic algorithms or other AI techniques capable of processing both qualitative and quantitative variables from each incoming stream. The expected outcome is increased accuracy in flash point prediction, faster operational response, and improved quality control of diesel blending – all achieved without relying on delayed laboratory results.