Pharmaceutical R&D requires selecting candidates that balance pharmacological activity and ADMET (absorption, distribution, metabolism, excretion, toxicity) and formulating them appropriately.

Through in‑silico simulation and data science, we enable high‑accuracy affinity assessments, pre‑evaluation of candidate compounds, stability evaluation of crystal polymorphs, and formulation optimization for nanoparticles, amorphous forms, and cocrystals. Using CAE, Computer Aided Engineering, we also virtually evaluate downstream processes such as tableting, molding, and mixing, reducing prototyping cycles and ensuring reproducibility during scale‑up.

Drawing on our experience spanning over 40 years and a global network, we support you from discovery to formulation.