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 looking for a solution that enables comprehensive asset lifecycle management. Enterprise Asset Management (EAM) systems should allow tracking of the entire lifecycle of equipment and components-from procurement, through operation and maintenance, to disposal. The goal is to optimize costs associated with asset upkeep and enable timely planning of equipment replacements.

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.