Oncron at Neo4j GraphSummit Munich

We attended the Neo4j GraphSummit Munich last week and came away with a lot of inspiration and some very promising follow-up conversations.

What struck us most was the strong focus on practical applications and real-world problems. The talks and hallway conversations were grounded in concrete use cases — not just the potential of graph technology, but how teams are actually putting it to work today across data, AI, and connected-systems domains.

Why graph matters for rail

That practical focus resonates directly with what we are building at Oncron. Railway operations are inherently a connected-data problem. Trains share tracks, platforms, and crew. A delay at one point in the network propagates through relationships — to connecting services, to downstream slots, to knock-on effects that can ripple across an entire region.

Graph structures let us model those relationships explicitly: not as flat records in a table, but as the interconnected chains they actually are. That is the foundation for our conflict-chain analysis, which traces delay propagation from primary cause through every downstream consequence.

Conversations that move things forward

We had several very good conversations with people from Neo4j and from other companies working on graph, data, and AI topics. The GraphSummit is the kind of event where you meet people who are thinking about similar hard problems from different angles — and those cross-domain perspectives are often where the most useful ideas come from.

Thanks to everyone who took the time to talk. We are looking forward to the follow-up conversations that came out of the day.