The increasing complexity of the problems and the continuous growth of information and knowledge that should be mastered by responsible people in organizations underlines the need for DSSs driven by advanced and modern technologies.

We build intelligent decision support system (IDSS) for our clients that make extensive use of Artificial Intelligence techniques for supporting decision makers, based on Machine Learning (that use structured data) and Deep Learning, a subset of machine learning where Artificial Neural Networks, algorithms inspired by the human brain, learn from large amounts of data through AI.

The Deep learning solutions provided by IRIS allow machines to solve complex problems even when using a data set that is very diverse, unstructured and inter-connected.

Provides Machine Learning and Chemometrics tools for complex process control, with the ability of interpreting and connecting metadata in an intelligent way.

Communication drivers for the main PAT sensors on the market, simplifying integration into plants and the consolidation of real-time monitoring information to ensure that the processes are running according to the correct specifications and guidelines for optimal operation of the production plant.

API for bi-directional linking of the Data Management Platform Predictive Engine with the plant SCADAs for: a) collecting the required data for modelling the respective machinery (process) digital twins; and, b) feeding the SCADA-based control algorithms with high level predictions -e.g. based on inducted rules- as an alternative source of AI-based decision-making criteria, whenever required.

Connectivity with ERP, MES and SCADA systems makes it possible to elevate the chain of communication directly to plant managers and directors.