Manufacturing Execution System(MES) AI that analyzes data from chemical reactors to improve process quality and productivity. It helps the chemical reactor to operate optimally by training the AI model with variables directly(raw materials, catalyst etc.) or indirectly(temperature, weather pressure, humidity, etc.) related to reactors.

Temperature Sensor Based Boiler Tube Leak Detection(TSBT) AI is capable of detecting leaks in power plant boiler tubes. TSBT utilizes thousands of sensor data such as temperature, pressure and flow in order to detect the tube leakage as early as possible.

Electric Arc Furnace(EAF) AI calculates and predicts electricity needed to melt steel scraps. The efficiency of an electric furnace is affected by the amount and types of steel scrap. Our AI predicts the total amount of energy (electricity) required to melt the scrap based on its type, quantity, oxygen level, internal temperature etc. The AI calculates the appropriate amount of electricity needed to melt the scrap, allowing our customers to save on expensive electricity bills.

Green Power(G-Power) AI that is currently under development with eco-friendly goals such as monitoring carbon dioxide (CO2) emissions etc.

AI that will help customers’ future investment plans by accurately predicting changes in the market index.

AI that will help customers to avoid risky investments by anticipating future changes in key stocks

AI that will predict commodity prices so it can help customers purchase raw materials at the lowest possible rate and to reduce operating costs.