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Limited availability | December 2025 studies

Limited availability | December 2025 studies

Turn your batch data into better yield and lower energy costs.

We work with small and mid-sized chemical manufacturers to identify practical operating changes that improve yield, cut energy waste, and reduce batch variability - using the CSV data you already have, with no changes to your control system.

ProZeolis combines chemical engineering, data analysis, and carefully applied machine learning to deliver clear, evidence-based recommendations.

Book a 20-minute intro call

Book a 20-minute intro call

WHO WE SERVE

You know your batch processes could run better - but lack the time or data science to prove where.

You know your batch processes could run better - but lack the time or data science to prove where.

You're a good fit if:
Scientist in laboratorium
Scientist in laboratorium
Scientist in laboratorium

  • You run batch or semi-batch reactors, crystallisers, or blenders in sectors such as speciality chemicals, pharmaceuticals, ingredients or fine chemical production.

  • You run batch or semi-batch reactors, crystallisers, or blenders in sectors such as speciality chemicals, pharmaceuticals, ingredients or fine chemical production.

  • You run batch or semi-batch reactors, crystallisers, or blenders in sectors such as speciality chemicals, pharmaceuticals, ingredients or fine chemical production.

  • You're using Excel, basic historian tools, or ad-hoc scripts for optimisation - and suspect there's more in the data than you can extract.

  • You're using Excel, basic historian tools, or ad-hoc scripts for optimisation - and suspect there's more in the data than you can extract.

  • You're using Excel, basic historian tools, or ad-hoc scripts for optimisation - and suspect there's more in the data than you can extract.

  • You want deeper insight without hiring a full-time data scientist or buying expensive software.

  • You want deeper insight without hiring a full-time data scientist or buying expensive software.

  • You want deeper insight without hiring a full-time data scientist or buying expensive software.

  • You'd prefer a focused, low-risk study on one process before considering anything larger.

  • You'd prefer a focused, low-risk study on one process before considering anything larger.

  • You'd prefer a focused, low-risk study on one process before considering anything larger.

  • Common applications include pharmaceutical batch synthesis, speciality polymer reactors, crystallisation processes, food ingredient blending, and other fine-chemical or speciality materials production.

  • We don't replace your control system, we give your engineers better targets and clearer evidence to improve it.

WHAT WE DO

What we do in a 2-week optimisation Study

What we do in a 2-week optimisation Study

A structured, two-week engagement that turns recent batch data into specific, evidence-based operating recommendations. Total time commitment from your team: 2-3 hours across two calls. We work around your schedule.

Clean and profile your batch data

You send a CSV or Excel export from your historian or existing tools. We check data quality, align batches, and build a clean dataset with key operating conditions, quality results, and any available lab data.

Clean and profile your batch data

You send a CSV or Excel export from your historian or existing tools. We check data quality, align batches, and build a clean dataset with key operating conditions, quality results, and any available lab data.

Clean and profile your batch data

You send a CSV or Excel export from your historian or existing tools. We check data quality, align batches, and build a clean dataset with key operating conditions, quality results, and any available lab data.

Identify drivers of yield, energy, and variability

Using a mix of statistical analysis, data science, and process-engineering judgment, we pinpoint which variables - and combinations of variables - are actually driving yield, energy use, cycle time, and off-spec product.

Identify drivers of yield, energy, and variability

Using a mix of statistical analysis, data science, and process-engineering judgment, we pinpoint which variables - and combinations of variables - are actually driving yield, energy use, cycle time, and off-spec product.

Identify drivers of yield, energy, and variability

Using a mix of statistical analysis, data science, and process-engineering judgment, we pinpoint which variables - and combinations of variables - are actually driving yield, energy use, cycle time, and off-spec product.

Propose recommendations that respect your safety and quality limits

We explore feasible operating windows and recipe tweaks that respect your safety, quality, and equipment constraints, then highlight a small number of operating changes that are realistic for your plant to trial.

Propose recommendations that respect your safety and quality limits

We explore feasible operating windows and recipe tweaks that respect your safety, quality, and equipment constraints, then highlight a small number of operating changes that are realistic for your plant to trial.

Propose recommendations that respect your safety and quality limits

We explore feasible operating windows and recipe tweaks that respect your safety, quality, and equipment constraints, then highlight a small number of operating changes that are realistic for your plant to trial.

THE PROCESS

How the 2-week optimisation study works

How the 2-week optimisation study works

A structured, two-week engagement that turns recent batch data into specific, evidence-based operating recommendations.
A structured, two-week engagement that turns recent batch data into specific, evidence-based operating recommendations.

Scoping call (30–45 minutes)

We'll work with you to choose priority batch process and agree the main objectives - for example, yield, energy per tonne, cycle time, or variability - along with any hard safety and product-quality limits.

Scoping call (30–45 minutes)

We'll work with you to choose priority batch process and agree the main objectives - for example, yield, energy per tonne, cycle time, or variability - along with any hard safety and product-quality limits.

Scoping call (30–45 minutes)

We'll work with you to choose priority batch process and agree the main objectives - for example, yield, energy per tonne, cycle time, or variability - along with any hard safety and product-quality limits.

Data export and NDA

You provide a CSV or Excel export of recent batches from your existing systems. Before receiving any data, we sign your standard NDA or confidentiality agreement. You keep full ownership and control of all data.

Data export and NDA

You provide a CSV or Excel export of recent batches from your existing systems. Before receiving any data, we sign your standard NDA or confidentiality agreement. You keep full ownership and control of all data.

Data export and NDA

You provide a CSV or Excel export of recent batches from your existing systems. Before receiving any data, we sign your standard NDA or confidentiality agreement. You keep full ownership and control of all data.

Analysis and modelling (week one)

Over the first week, we clean and align the data, carry out exploratory analysis, and build simple models to understand how key variables affect yield, energy use, and quality. Engineering judgment is used throughout to keep everything physically and operationally sensible.

Analysis and modelling (week one)

Over the first week, we clean and align the data, carry out exploratory analysis, and build simple models to understand how key variables affect yield, energy use, and quality. Engineering judgment is used throughout to keep everything physically and operationally sensible.

Analysis and modelling (week one)

Over the first week, we clean and align the data, carry out exploratory analysis, and build simple models to understand how key variables affect yield, energy use, and quality. Engineering judgment is used throughout to keep everything physically and operationally sensible.

Recommendations report (week two)

You receive a concise 10–15 page report setting out: key drivers for performance, 2–4 specific operating changes worth trialing, expected impact ranges, and any important caveats or risks to consider.

Recommendations report (week two)

You receive a concise 10–15 page report setting out: key drivers for performance, 2–4 specific operating changes worth trialing, expected impact ranges, and any important caveats or risks to consider.

Recommendations report (week two)

You receive a concise 10–15 page report setting out: key drivers for performance, 2–4 specific operating changes worth trialing, expected impact ranges, and any important caveats or risks to consider.

Engineer debrief and next steps

We walk through the findings with your process and operations team, answer questions, and agree which changes are realistic to test on plant under your usual management-of-change procedures.

Engineer debrief and next steps

We walk through the findings with your process and operations team, answer questions, and agree which changes are realistic to test on plant under your usual management-of-change procedures.

Engineer debrief and next steps

We walk through the findings with your process and operations team, answer questions, and agree which changes are realistic to test on plant under your usual management-of-change procedures.

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.

worker on laboratorium
worker on laboratorium
worker on laboratorium

RESULTS

What you get from a ProZeolis study

What you get from a ProZeolis study

Every process is different, but our optimisation studies are designed to deliver:

  • The operating changes most likely to improve your process - typically 2-4 recommendations with the strongest evidence in your data

  • The operating changes most likely to improve your process - typically 2-4 recommendations with the strongest evidence in your data

  • The operating changes most likely to improve your process - typically 2-4 recommendations with the strongest evidence in your data

  • Expected impact on yield, energy use, or cycle time - we provide ranges derived from statistical analysis of your specific batch data

  • Expected impact on yield, energy use, or cycle time - we provide ranges derived from statistical analysis of your specific batch data

  • Expected impact on yield, energy use, or cycle time - we provide ranges derived from statistical analysis of your specific batch data

  • Reveal both key and hidden sensitivities in your process - which variables have the strongest impact on yield/quality (and should be controlled tightly) vs. which have minimal impact (and can be relaxed to save time and/or cost)

  • Reveal both key and hidden sensitivities in your process - which variables have the strongest impact on yield/quality (and should be controlled tightly) vs. which have minimal impact (and can be relaxed to save time and/or cost)

  • Reveal both key and hidden sensitivities in your process - which variables have the strongest impact on yield/quality (and should be controlled tightly) vs. which have minimal impact (and can be relaxed to save time and/or cost)

  • A clear, reproducible analysis framework - your team will understand exactly how we reached our conclusions and can use the same approach for other batch processes.

  • A clear, reproducible analysis framework - your team will understand exactly how we reached our conclusions and can use the same approach for other batch processes.

  • A clear, reproducible analysis framework - your team will understand exactly how we reached our conclusions and can use the same approach for other batch processes.

Implementation: We recommend trialling changes under your usual management-of-change procedures. Most plants start with one or two low-risk batches to validate predictions before full rollout.

ABOUT PROZEOLIS

Chemical engineering expertise meets modern data science

Chemical engineering expertise meets modern data science

ProZeolis is a specialist consultancy focused exclusively on batch process optimisation for small and mid-sized chemical manufacturers. We work with plants in speciality chemicals, ingredients, fine chemicals, and contract manufacturing - helping process engineers and operations teams extract more value from the batch 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.

Investment

Fixed fee: £3,500 – £5,000 depending on process complexity and data availability. You’ll receive a fixed quote after our initial scoping call, so there are no surprises.

Payment: 50% to begin, 50% on delivery of final report.

What's included:

  • Pre-study scoping call and data quality assessment (free)

  • Complete data analysis and modelling

  • 10-15 page recommendations report with clear rationale

  • Engineer debrief call with your team

  • 2 weeks of email support post-delivery

Book a free scoping call

Investment

Fixed fee: £3,500 – £5,000 depending on process complexity and data availability. You’ll receive a fixed quote after our initial scoping call, so there are no surprises.

Payment: 50% to begin, 50% on delivery of final report.

What's included:

  • Pre-study scoping call and data quality assessment (free)

  • Complete data analysis and modelling

  • 10-15 page recommendations report with clear rationale

  • Engineer debrief call with your team

  • 2 weeks of email support post-delivery

Book a free scoping call

Investment

Fixed fee: £3,500 – £5,000 depending on process complexity and data availability. You’ll receive a fixed quote after our initial scoping call, so there are no surprises.

Payment: 50% to begin, 50% on delivery of final report.

What's included:

  • Pre-study scoping call and data quality assessment (free)

  • Complete data analysis and modelling

  • 10-15 page recommendations report with clear rationale

  • Engineer debrief call with your team

  • 2 weeks of email support post-delivery

Book a free scoping call

FAQs

Common questions

Common questions

Do you need access to our control system or network?
Do you need access to our control system or network?
Do you need access to our control system or network?
What if the study doesn't find any improvements?
What if the study doesn't find any improvements?
What if the study doesn't find any improvements?
What format should the data be in?
What format should the data be in?
What format should the data be in?
How much data do I need?
How much data do I need?
How much data do I need?
Can you guarantee a specific improvement?
Can you guarantee a specific improvement?
Can you guarantee a specific improvement?
Do you work outside the UK?
Do you work outside the UK?
Do you work outside the UK?
What makes this different from hiring a data scientist or buying software?
What makes this different from hiring a data scientist or buying software?
What makes this different from hiring a data scientist or buying software?

Ready to see what your batch data can tell you?

If you're responsible for process optimisation, operations, or plant performance at an SME chemical manufacturer, book a free 20-minute call to discuss a focused study on one of your batch processes.

Not sure if a study is right for your process? The scoping call is free, and we'll tell you if the data and objectives are a good fit.

Book a free scoping call

Book a free scoping call

December availability: 2 study slots remaining

Checking all chemical elements
scientist doing rechecking

Ready to see what your batch data can tell you?

If you're responsible for process optimisation, operations, or plant performance at an SME chemical manufacturer, book a free 20-minute call to discuss a focused study on one of your batch processes.

Not sure if a study is right for your process? The scoping call is free, and we'll tell you if the data and objectives are a good fit.

Book a free scoping call

December availability: 2 study slots remaining

Checking all chemical elements
scientist doing rechecking

GET IN TOUCH

Ready to explore an optimisation study?

Ready to explore an optimisation study?

Use the form below to outline one batch process you'd like to improve. We'll reply within 24 hours with suggested times for a short call.

Ready to see what your batch data can tell you?

If you're responsible for process optimisation, operations, or plant performance at an SME chemical manufacturer, book a free 20-minute call to discuss a focused study on one of your batch processes.

Not sure if a study is right for your process? The scoping call is free, and we'll tell you if the data and objectives are a good fit.

Book a free scoping call

December availability: 2 study slots remaining

Checking all chemical elements
scientist doing rechecking