Success Stories

An integral approach to mitigate production losses due to solid influx.

An application that uses a machine learning model trained on operational and weather data to predict the rate and composition of wastewater.

A recommender system to identify causes of high oil-in-water concentrations.

Shyft is an open source high performance simulator for distributed hydrological simulations.

Designing a power price forecasting model for Nordic Flow-Based Market Coupling integration.

Development of a state-of-the-art simulator for guiding engineering choices in maritime industry

Development of transactions monitoring system for fraud detection in financial institution.

Using statistical analysis to reduce loss in production due to calibration routines.

A comprehensive framework to evaluate and mitigate slugging severity in oil and gas systems.

Transforming sensor data into actionable insights to reduce costs and improve product quality.

Enhancing efficiency in the energy market through Data Science and System Innovation

Predicting wear, extending life: intelligent maintenance for lasting performance This project focused on developing a comprehensive data...

Using AI to lower the false-positives in detected fraudulent transactions For one of our FinTech clients, we were asked to improve their...

Domain modelling of the hydro thermic electrical system in order to allow advanced context based analysis and visualization. Long term...