Artificial Intelligence Process Optimization

Artificial Intelligence Process Optimization (AIPO)

  • AIPO is based on machine learning algorithms and deep neural networks where each structure is customer made for individual case​
  • Solution is embedded in scalable technology which allow to use computational power of computer clusters both CPU and GPU​
  • AIPO can be implemented on the existing operational system on premise or on in the cloud (Azure, AWS, Watson IBM, etc.)​
  • Product allow to analyse data from thousands of physical sensor in real time

AIPO - Development Process

AIPO - Technology

AIPO - Cloud Platforms

What’s it all about​

  • AIPO can replace or support physical sensors​
  • AIPO is a solution which can be integrated with existing operation system or IoT platform. ​
  • AIPO can be used in all industries with continuous production, such as: Diversified Industrial Products, Manufacturing, Food and Beverage, Oil & Gas, Chemical and more.​
  • Solution allows an accurate description of physical processes in plant science, offering new advantages over traditional treatments as the possibility of a model, prediction and optimize results.

AIPO Goals

  • AIPO – Artificial Intelligence Process Optimization​
  • Application of Artificial Intelligence for process optimization by influencing production efficiency leading to cost reduction and increase benefits

AIPO in Numbers

  • End-product quality prediction accuracy reaching 99%​
  • Slope reduction in fuel blending up to 60%​
  • Prediction error decreased by up to 20%​
  • Thousands of sensors monitored and analyzed in real-time


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