Process Intelligence Solutions (PIS) develops process mining software: ready-to-use solutions for businesses, and core technology for software vendors that build process mining into their own products. Our roots are in academic research, and our mission is to make process mining accessible to everyone.
Process mining shouldn’t require months of setup, a large budget or handing your data to yet another cloud. We build software that every team can use, from business teams to software vendors, while you keep full control of your data.
Unlike most process mining software, our core technology is developed in the open. PM4Py’s code is public, so anyone can look inside every algorithm, adapt it and build on it. For commercial products, we offer dedicated licenses.
While many platforms run only in the vendor’s cloud, PMTk can run on your own infrastructure, so your data stays entirely under your control.
Process mining pays off most when it becomes part of your daily work, not just a single project. That’s why our licensing is priced so it doesn’t eat up your savings, even long after the first quick wins.

“Every company should be able to see how its processes really run and optimize them, without months of setup and without giving away its data.”
Researchers at Fraunhofer FIT present PM4Py, an open-source process mining library for Python.
The first PMTk prototype brings process mining to business teams, no coding required.
PIS starts as an independent spin-off from Fraunhofer FIT, and PM4Py and PMTk move to their new home.
PM4Py is downloaded more than 2 million times in a single year.
Process Intelligence Solutions GmbH is a legally independent company, founded as a spin-off from 
PM4Py started as a research project, and research is still at its core. Our team comes from process mining research, so new methods reach our products early. Researchers worldwide use PM4Py to develop and evaluate new process mining methods.
At the same time, many companies rely on PM4Py, from data science teams automating their analyses to software vendors building it into their own products.
Peer-reviewed paper · ScienceDirect
Cited more than 320 times (Google Scholar, as of October 2026)
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