We build and deploy machine learning technology to tackle complex life science datasets

Life Sciences encompass, inter alia, medicine, biology, genetics, biochemistry and pharmacology. Each of these fields has evolved very rapidly recently through the massive computerisation of these domains and the acquisition and analysis of substantial collections of vast datasets. We have developed cutting-edge tools in data-mining technologies to find patterns and structure within large datasets for better classification or prediction.

Machine learning algorithms to analyze biological, chemical and medical datasets

Robust methods for the analysis of microarrays, genes and proteins and their modelings

State of the art technologies for feature selection, noise reduction and large class imbalance

R&D geared towards optimized ensemble learning and hybrid classification for life sciences

Genes expressions visualization tools

You have data! We have the solution