Artificial Intelligence for a more Sustainable Industry
The industry needs to become more sustainable by leveraging waste reduction, energy savings, and CO2 reduction while increasing efficiency at the same time.
An essential key to work towards these goals is better understanding process data, thus, bringing the ability to analyze and learn from process data as close as possible to the people working with the data: Process engineers, data analysts, and domain experts. This necessitates a scalable and industry-agnostic machine learning technology that they can use straightforwardly without wasting time or building up additional data science skills.
Connecting Industry and Machine Learning
PerfectPattern interconnects a decade of industry experience with game-changing innovations in machine learning built on in-depth research in differential geometry, stochastic processes, functional analysis, and theoretical physics.
This enables us to create machine learning technology that is simple to use and copes exceptionally well with industrial data quality and amounts. Moreover, since it is also very close to real-world industrial applications, it helps close the gap between data acquisition and highly scalable data analytics, enabling more efficient and sustainable industrial productions.
After studying electrical engineering at the University of Applied Sciences in Munich, Fabian spent many years in leading positions at Siemens and Infineon in Germany and the USA, where he developed new technologies and products and turned them into successful businesses. As an entrepreneur and investor, he has subsequently founded, financed and built numerous technology start-up companies.
Fabian represents PerfectPattern as CEO; in this role he is responsible for the operative business and the commercial management.
Chief Marketing Officer & Co-Founder
Robert studied technical physics at the University of Applied Science in Munich. He continued his studies when changing to physics at the Ludwig Maximilians University in Munich, receiving his Bachelor of Science in 2012.
Alongside his Master’s studies in Astrophysics, he co-founded PerfectPattern GmbH in 2012 and filled a dual role as managing director and product manager from 2012 to 2020. Since 2020 he combines his passions for marketing and communication with his obsession for deep tech and AI when driving the marketing and awareness of aivis as Chief Marketing Officer.
Chief Development Officer & Co-Founder
Lukas studied physics at the Ludwig Maximilian University of Munich, where he earned a bachelor of science degree in 2013. He has extensive experience in the architecture and implementation of software projects, team leadership and engagement in open source communities.
At PerfectPattern, Lukas is responsible for the development of innovative, reliable and highly networked products such as sPrint One and develops their platform strategy.
Dr. Christian Paleani
Chief Scientist & Co-Founder
Christian completed his physics studies at the Technical University of Munich in 2008 as diploma physicist. He then earned his doctorate at the Ludwig Maximilian University on Munich with a thesis on the mathematical formulation of string theory (pseudoholomorphic curves in exact Courant algebroids). In 2012 he was Invited Researcher at the Mathematical Institute of the University of Oxford.
Christian developed the mathematical basics of PerfectPattern´s algorithms and leads the technology development.
Most of the members of the PerfectPattern team come from the disciplines of mathematics, physics and engineering. All of the team members share a fascination for translating the results from in-depth research into real-world applications that solve complex problems and help customers to save time and money.
Bart is a seasoned entrepreneur who spent the past 18 years as an investor in High Tech companies, and additionally as a serial entrepreneur himself co-founded by now 6 companies. He has been a General Partner at Wellington from 2000 to 2015 and played a significant role in building Wellington from a €50M fund in 1999 to a well established player in the European VC market with some €800M of assets under management.
Bart holds an MSc in Applied Physics from Twente University of Technology in the Netherlands and an MBA (with distinction) from INSEAD in France. He has been a member of the board of PerfectPattern since 2017.
Dr. Benedikt Hofmann
Benedikt is Chief Technology Officer of the Division Digital Ventures at Voith. This position Dr. Benedikt Hofmann took over in October 2018. Prior to that, he headed the business line Service and Upgrades at this Divison. Till 2017, Dr. Benedikt Hofmann was Senior Vice President Product Management of Voith Turbo GmbH & Co. KG. From 2014 to 2016, he was responsible for the Service and After-sales business of the Voith Turbo commercial vehicle sector. Before joining Voith, he worked as Manager at McKinsey&Co.
Benedikt has been a member of PerfectPatterns board since 2019.
Dr. Michael Alexander
Michael joined Roland Berger GmbH as a Partner in 2014 after 5 years of building up his own consulting business. He serves electronics HW and SW businesses clients with a strong focus on technology. Michael brings 10 years of experience in different managerial roles in the electronics industry in Europe and Asia, such as VP Strategy & Business Development, VP Production Management, and Development Program Manager. Michael has got his business education during 5 years at McKinsey&Co. and in a 2 years vocational training as a banker. He holds a PhD in Physics.
Michael is a member of PerfectPattern’ s board since 2021.
PerfectPattern GmbH was founded in 2012 as a Spin-off of the Mathematical Institut of the Ludwig-Maximilians-University Munich, supported by the EXIST-Program.
Its roots are in the graphic arts industry, where it started to develop AI-based software to make industrial productions more efficient. The first product sPrint One uses constructive reinforcement learning for print production planning and started to spread into the industry in 2014, followed by Ciphos (converting industry) and Kayros (general production planning).
Ever since a continuous in-depth research in close contact with various industrial applications finally led to the industry-agnostic machine learning technology for process data analytics aivis in 2018, formally known as PYTHIA.
Supported by industry partners like Voith and MPDV, PerfectPattern will continue its journey focusing on its greatest asset, the close combination of excellent industrial process knowledge with superior mathematical and physical skills.