
We work with chemical manufacturers, from specialty chemicals and pharma intermediates to performance materials, helping you identify practical operating changes that improve yield, reduce variability, and cut energy waste. All using the historian data you already collect, with no changes to your control system.
ProZeolis combines chemical engineering, data analysis, and carefully applied machine learning to deliver clear, evidence-based recommendations.
WHO WE SERVE
if you're responsible for process performance, plant operations, or technical improvement at a chemical manufacturer running:
and you:
We don't replace your control system, we give your engineers better targets and clearer evidence to improve it.
WHAT WE DO
We analyse your historian data to identify hidden inefficiencies affecting yield, quality consistency, and energy consumption across your chemical operations.
Our agile approach can be tailored to the specific needs of you and your industry. Our chemical engineering foundation combined with advanced data science ensures recommendations are both statistically sound and practically implementable - we understand reaction kinetics, heat transfer, and mass balances, not just data patterns.
WHAT WE DO
We analyse your historian data to identify hidden inefficiencies affecting yield, quality consistency, and energy consumption across your chemical operations.
THE PROCESS
The scoping call is free. If we don't believe a study will deliver worthwhile insights for your process, we'll tell you - and recommend what data or next steps would make sense. No charge, no pressure.
RESULTS
Every process is different, and our optimisation studies are designed to deliver:
ABOUT PROZEOLIS
ProZeolis is a specialist consultancy focused exclusively on process optimisation for small and mid-sized chemical manufacturers. We work with plants in varying fields including speciality chemicals, ingredients, fine chemicals, and contract manufacturing - helping process engineers and operations teams extract more value from the data they already collect. Our approach combines classical process engineering methods with modern data analysis and carefully applied machine learning. Founded on rigorous engineering fundamentals (BEng Chemical Engineering, University of Manchester) and applied AI expertise (MSc Computer Science), we've built and deployed machine learning systems and optimisation tools in industrial settings. Now we focus exclusively on helping SME chemical plants compete with the analytical capabilities of larger enterprises.The goal is always the same: practical, evidence-based recommendations your engineers can understand, challenge, and implement - not impenetrable algorithms or theoretical studies, but clear, actionable recommendations.

FAQs
GET IN TOUCH
We'll reply within 24 hours with suggested times for a short call.



