Processes. Predicted.
From molecules to polymer microstructures — your kinetic systems and processes, simulated with precision.
Science. Applied.
Proven, advanced algorithms and intuitive software for modeling real-world chemical engineering systems.
Empowering Innovation in Science and Industry
Our software is used worldwide in both industry and academia — from teaching fundamentals to developing novel processes. With applications in research, optimization, and education, it supports users where simulation matters most.
Just here for the tools?
You’re in the right place.
PREDICI
PRESTO-KINETICS
PARSIVAL
Modular. Visual. Configurable.
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Dynamic results. Direct feedback.
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Dynamic results. Direct feedback.
Built on dynamic simulations and robust solvers, our software lets users define models modularly — from species to full kinetics — without deriving equations. Reactor setups and operating conditions are configured flexibly using recipe-based tools.
Results are instantly available and fully configurable — from concentrations to custom rates and distributions. With scripting and automation, even complex kinetics and user-defined equations become easy to manage and reuse.
Organized. Reproducible. Ready to Share.
In our software, a model is more than a file — it’s a full, reusable project. Each one holds definitions, recipes, scripts, data, and estimation setups in a structured environment for comparison, fitting, and versioning.
Parameter and module sets let you switch between data sources or assumptions instantly — no duplication, no confusion. This supports clear, reproducible modeling as projects evolve.
From Data to Insight – Smarter Ways to Fit Complex Models
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Complex models. Intuitive workflow.
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Complex models. Intuitive workflow.
In polymer modeling, parameters are often unknown, interdependent, and temperature-sensitive. That’s why parameter estimation is essential. Our tools support flexible fitting setups, from GPC distributions to custom signals — including full support for Arrhenius parameters and transformations for stable, accurate convergence.
We assess correlations, sensitivities, and model condition to reveal what your data can truly support. From global search to reduced-direction Gauss-Newton, our solvers are tailored for polymer systems — running full simulations with every step, fully integrated for traceability and reuse.
THE MODELING CYCLE
Start with the Right Question
Every model starts with a purpose — but turning real-world problems into clear modeling goals isn’t trivial. It requires understanding what truly matters in the system. Good modeling begins with asking the right question, not just writing equations.
Study Reality Before Modeling It
Before modeling, observe — through experiments, data, or literature. What matters isn’t what can be modeled, but what can be measured and validated. Good models reflect observable reality, not just theoretical possibilities.
Simplify Mathematically. Preserve What Matters.
Full models often exceed what can be solved numerically. But reduction shouldn’t be guesswork — it should follow sound mathematics, like averaging or dimensional analysis. This keeps the model solvable without losing scientific meaning.
Check, Compare, Refine. Then Use.
Simulation isn’t the end — it’s a checkpoint. Results must be compared to real data, and mismatches may require refining the model, parameters, or assumptions. Only a model consistent with reality can guide design or decision-making.
Built for How Modelers (Should) Work
From task definition to refinement, our tools and expertise support every step of the modeling cycle. Just as important as algorithms is the freedom to explore — to test a change, tweak a reaction, or try a new idea without friction.
In many tools, small changes become big barriers. Our mission is to remove them — so you can stay curious, agile, and productive.
Because the best models emerge when testing an idea is just a click away.
INDUSTRIAL
More than 100 industrial projects
ACADEMIC
100+ research projects and thesis
PUBLICATIONS
200+ reviewed articles and publications
CITATIONS
2000+ references in scientific journals