learning models with biological and clinical data to identify patterns, generate predictions, and support hypothesis testing in oncology. In the bioprocessing sector, its technology contributes to process monitoring and control, aiming to improve consistency and efficiency in laboratory and industrial settings. The company collaborates with research institutions and biotech organizations to adapt its tools to specific experimental or production needs. Its focus lies in bridging artificial intelligence with life sciences to support discovery and development activities.