News
We are excited to announce that Perelyn has become a participant in the Neo4j Startup Program, marking a significant advancement in our use of their groundbreaking technology.
By integrating Neo4j's cutting-edge tools and resources, we are enhancing our existing AI applications and driving the development of complex graph-based retrieval systems. These systems are designed to improve accuracy and deliver clearer insights by effectively combining language models with graph data-structures, facilitating more natural interactions within knowledge networks.
Additionally, the program offers specialized training and certification, ensuring that Perelyn remains at the cutting edge of technology. We are excited about the possibilities this partnership opens up for advancing our AI solutions.
For further details on the Neo4j Startup Program and its benefits for Perelyn, please visit: Neo4j Startup Program Details.
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.
