Biopharmaceutical companies struggle to manage the volumes and complexity of data generated all stages of the product lifecycle, and teams can spend significant time manually acquiring and engineering data from disparate siloed systems, then analysing it with tools not developed for bioprocess data needs. 

Bioprocess data is generated and stored within a variety of systems such as process control, MES, historians, LIMS and various business intelligence systems. BioMAC provides the ability to efficiently combine these data sources and apply advanced analytics, machine learning and artificial intelligence to improve efficiency and competitiveness.