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Q1 2026 | 3 study slots remaining

Q1 2026 | 3 study slots remaining

Reduce off-spec production and cut energy costs without changing your control system.

Reduce off-spec production and cut energy costs without changing your control system.

Reduce off-spec production and cut energy costs without changing your control system.

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.

Book a free scoping call

Book a free scoping 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.

if you're responsible for process performance, plant operations, or technical improvement at a chemical manufacturer running:
Scientist in laboratorium
Scientist in laboratorium
Scientist in laboratorium

Speciality chemicals

(intermediates, agrochemicals, custom synthesis, toll manufacturing)

Speciality chemicals

(intermediates, agrochemicals, custom synthesis, toll manufacturing)

Speciality chemicals

(intermediates, agrochemicals, custom synthesis, toll manufacturing)

Pharma intermediates & APIs

(small-molecule synthesis, batch reactors, campaign operations)

Pharma intermediates & APIs

(small-molecule synthesis, batch reactors, campaign operations)

Pharma intermediates & APIs

(small-molecule synthesis, batch reactors, campaign operations)

Performance materials

(coatings, adhesives, polymers, specialty formulations)

Performance materials

(coatings, adhesives, polymers, specialty formulations)

Performance materials

(coatings, adhesives, polymers, specialty formulations)

Flavors, fragrances & natural extracts

(essential oils, aroma chemicals, botanical extracts)

Flavors, fragrances & natural extracts

(essential oils, aroma chemicals, botanical extracts)

Flavors, fragrances & natural extracts

(essential oils, aroma chemicals, botanical extracts)

Industrial chemicals

(batch reactors, semi-continuous units, hybrid operations)

Industrial chemicals

(batch reactors, semi-continuous units, hybrid operations)

Industrial chemicals

(batch reactors, semi-continuous units, hybrid operations)

and you:
  • Collect process historian data (DeltaV, Wonderware, OSIsoft PI, CSV exports, Excel, basic historian tools, or ad-hoc scripts for optimisation) but lack time or expertise to extract insights

  • Collect process historian data (DeltaV, Wonderware, OSIsoft PI, CSV exports, Excel, basic historian tools, or ad-hoc scripts for optimisation) but lack time or expertise to extract insights

  • Collect process historian data (DeltaV, Wonderware, OSIsoft PI, CSV exports, Excel, basic historian tools, or ad-hoc scripts for optimisation) but lack time or expertise to extract insights

  • Suspect inconsistencies in your processes, batch-to-batch variability, off-spec rates, or yield losses but need evidence to justify operating changes

  • Suspect inconsistencies in your processes, batch-to-batch variability, off-spec rates, or yield losses but need evidence to justify operating changes

  • Suspect inconsistencies in your processes, batch-to-batch variability, off-spec rates, or yield losses but need evidence to justify operating changes

  • Want to improve throughput, reduce energy costs, or minimize waste without capital investment

  • Want to improve throughput, reduce energy costs, or minimize waste without capital investment

  • Want to improve throughput, reduce energy costs, or minimize waste without capital investment

  • 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.

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

WHAT WE DO

Maximise operational excellence

Maximise operational excellence

We analyse your historian data to identify hidden inefficiencies affecting yield, quality consistency, and energy consumption across your chemical operations.
Scientist in laboratorium
Scientist in laboratorium
Scientist in laboratorium
  • Historian data analysis (10-20 batches or continuous campaign data)

  • Historian data analysis (10-20 batches or continuous campaign data)

  • Historian data analysis (10-20 batches or continuous campaign data)

  • Root cause analysis of process variability

  • Root cause analysis of process variability

  • Root cause analysis of process variability

  • Operating window recommendations with expected impact ranges

  • Operating window recommendations with expected impact ranges

  • Operating window recommendations with expected impact ranges

  • Energy and yield improvement opportunities (no capex required)

  • Energy and yield improvement opportunities (no capex required)

  • Energy and yield improvement opportunities (no capex required)

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

2-Week Diagnostic Engagement

2-Week Diagnostic Engagement

We analyse your historian data to identify hidden inefficiencies affecting yield, quality consistency, and energy consumption across your chemical operations.

Clean and profile your batch data

You send a CSV or Excel export from your historian or existing tools. We check data quality, align process cycles (whether batch, campaign, or continuous operation), 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 process cycles (whether batch, campaign, or continuous operation), 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 process cycles (whether batch, campaign, or continuous operation), 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, chemical engineering 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, chemical engineering 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, chemical engineering 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 data into specific, evidence-based operating recommendations.
A structured, two-week engagement that turns recent data into specific, evidence-based operating recommendations.

Scoping call (30–45 minutes)

We'll work with you to choose priority 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 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 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 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 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 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, and our optimisation studies are designed to deliver:

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

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

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

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

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

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

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

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

Implementation: We recommend trialling changes under your usual management-of-change procedures.

ABOUT PROZEOLIS

Chemical engineering expertise meets modern data science

Chemical engineering expertise meets modern data science

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.

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

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

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

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.

December availability: 2 study slots remaining

Checking all chemical elements
scientist doing rechecking

Ready to see what your 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.

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?

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.

December availability: 2 study slots remaining

Checking all chemical elements
scientist doing rechecking