
Bits & Pretzels is not a typical industry conference. It is a place where founders, investors, and entrepreneurs meet – often with a specific plan, sometimes with a question that only takes shape during the conversation.
Christian Mader was there for Perelyn, to have exactly those conversations. How do companies deploy AI when they don't have their own research department? What is the difference between an AI prototype and a system that actually works in daily operations? And what role do data, infrastructure, and strategy play on the way there?
For us, Bits & Pretzels is a barometer. It shows which questions are actually on the minds of the startup and investor community – and where our work connects. Not every conversation leads to a project. But every good conversation shifts the perspective.
Munich remains an important location for Perelyn and a natural hub for the exchange between technology and entrepreneurship.
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The proceedings from the "AI in Production" workshop at KI2025 have been published. Among the contributions is a paper by our team on the use of the Model Context Protocol (MCP) in industrial production environments.
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Dominik Filipiak and Michael Banf are co-authors of a community paper on the 2025 Topological Deep Learning Challenge, published in the Proceedings of Machine Learning Research. Their contributions feed into TopoBench, an open benchmarking library for the research community.