Accelerated Product and Process Development with AI

New product introduction is the key competitiveness factor for all process manufacturers, but process development (PD) capacity is not sufficient to keep up with the increasing demand. Lack of PD capacity becomes a bottleneck to much needed manufacturing capacity.

The complexity of molecules – chemical, biologic, and biochemical – is increasing the complexity of data relationships. With legacy software, statistical tools, and DoE methods at their disposal, PD teams are continually under pressure to meet the demand.

Machine Learning (ML) can accelerate PD, but large amount of data required by most ML algorithms is never available during PD. Fortunately, the inherent experimental nature of PD and prior knowledge is always available.

With our sample-efficient, small-data AI, Quartic has revolutionized the way PD is done and will be done in the future. Leaders in the industry are using this application to complete PD campaigns with unprecedented speed.