How well do you really know your process? 🤔

Most teams understand their process when everything runs smoothly. True process understanding is demonstrated when something doesn't. When a reaction slows, a yield drops, an unexpected impurity appears, or operating conditions drift, can your team confidently explain why? Too often, the root cause remains unknown until the problem surfaces during scale-up, technology transfer, process validation, or commercial manufacturing - when the consequences are far more costly.

For more than 15 years, Nalas has helped customers transition complex chemistry into robust commercial processes by answering the questions that determine whether a process is truly ready for scale. 

👉 Which reaction pathway is actually operating? 

👉 What intermediates and impurities are being formed, and do we have complete mass balance closure? 

👉 What are the reaction kinetics and competing pathways? 

👉 Which process variables drive yield, impurity formation, and batch-to-batch variability? 

👉 What happens if cooling, mixing, or reagent addition deviates from plan?

Using an extensive suite of in-situ Process Analytical Technology (PAT) combined with orthogonal offline analytical techniques, Nalas quantitatively characterizes your process, develops predictive process models, and performs robustness studies to identify critical process parameters and potential failure modes before they become manufacturing problems. The result is greater process understanding, reduced technical risk, more reliable scale-up, and increased confidence during technology transfer and validation.

Discover the surprises in the laboratory - not during your first manufacturing campaign.

(Image shows Michaela Marquez reviewing Mettler Toledo iControl and iCVision in-process analytical data)