Process Analytics Factory (PAF)

What we do

We believe in the power of knowledge. We want to bring it to our customers and incorporate it in our Process Mining Tool PAFnow.

With PAFnow we empower users to gain full transparency about processes. Companywide or project specific, for large quantities of data or for small optimization projects, every Office 365 user can use our software and tear down the barriers to Process Mining. Due to the integration of PAFnow with Microsoft Power BI you can do much more than just analyze your data. You can collaborate, communicate and directly start optimization measures, when you find optimization potential.

The results from our research projects are directly incorporated into PAFnow, and in combination with our mission to make Process Mining easy, affordable and comfortable we bring the best tools to the right people.

Because we’ve integrated into the world’s leading BI platform, used by millions of users in thousands of companies, there is no better way to Process Mining than ours.

Our innovative approach

We play an international leading role in innovation research and development in Process Mining in combination with technologies such as AI, Blockchain, Predictive Analytics, Industry 4.0 / IoT and Robotic Process Automation. Together with partners such as the Technical University of Darmstadt (TUDA) and the German Research Center for Artificial Intelligence (DFKI), we have successfully completed 4 research projects and are already working diligently on the next one.
In addition to innovation research, we are particularly focusing on the application of technology in practice. Our passion for Process Mining comes from our expertise in optimization and consulting projects. Since 2008, we have implemented more than 300 projects. When we started to do Process Mining, we already knew, what we were looking for in a great product. Now, we and our numerous partners are constantly working to optimize our solution for all customers.
As a result, we received the BARC Start-Up Award for Analytics and Data Management in 2017 and are listed in “Gartner’s Market Guide for Process Mining” since 2018.