We develop high-end solutions in the fields of Artificial Intelligence (AI) and Machine Learning (ML), with proven success in industrial environments — including water treatment and reverse osmosis (RO) systems. Our clients benefit from our deep expertise and long-standing experience in consulting, sensor data analysis, pilot deployments, and tailor-made implementations that optimize performance, reduce downtime, and unlock hidden value in complex operational processes.
Dynamic Normalization
Automate the normalization of RO performance data
Regression models or neural networks to predict "ideal" membrane performance under current conditions
Predictive Cleaning-in-Place (CIP) Scheduling
Optimize the timing of membrane cleaning based on predictive analysis
Machine learning (e.g. Random Forest, LSTM) to predict performance decay trends (e.g. normalized flow, pressure drop).
Hybrid Desalination Systems
Optimize system performance in hybrid setups
Reinforcement learning or predictive modeling to determine the optimal operating mode