technology

Hybrid mechanistic/ML bioprocess modeling

Bioprocess models combining known biological/chemical mechanistic principles with machine learning trained on process data, applied across the full development-to-manufacturing lifecycle.

Where it's used

AI bioprocess optimization as SaaS
Cloud/SaaS platforms applying machine learning to bioprocess development and manufacturing data to predict outcomes and optimize process parameters — a software analytics layer distinct from the physical PAT hardware (Raman, chromatography, mass spec sensors) generating the data — sold by four specialists (DataHow, Aizon, AlgoCell, Atinary) spanning process-lifecycle modeling, manufacturing-intelligence compliance platforms, and code-free self-driving-lab R&D tools.
digital-it 7 min