
On April 9, 2025, Michael Banf and Johannes Kuhn from our team joined the Neo4j Live podcast to share how Adiu Health uses GraphRAG to streamline clinical documentation and support smarter medical decisions.
In their talk, they explained how integrating large language models (LLMs) with a Neo4j-powered knowledge graph enables precise, context-rich summaries of doctor consultations. The result? Less time spent on paperwork, and more time focused on patient care.
The session covered:
The live discussion offered a behind-the-scenes look into the design of scalable, trustworthy AI systems in the healthcare space.
🎥 Watch the full session here:
At Perelyn, we’re proud to contribute to meaningful, real-world applications of AI — where technical innovation meets real human impact.
News

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.
News

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.