
Accelerate compliance by revealing hidden ownership structures with Neo4j and agentic AI.
As global transparency regulations evolve, including the EU AML legislation, organizations face growing pressure to trace historical company ownership and identify Ultimate Beneficial Owners (UBOs). Neo4j’s Graph Technology analyzes interconnected ownership data from multiple sources, providing clarity, explainability, and faster insights into corporate structures, ownership dilution and hidden relationships.
Furthermore, Neo4j serves as a dynamic data layer, enabling AI systems to reason over ownership data in real time. Natural language queries let analysts explore indirect control, connections to sanctioned individuals, and other risks through an intuitive visual interface.
Join this one-hour live session (with Q&A) to see how Neo4j’s Graph Technology, combined with Agentic AI, empowers financial institutions, compliance and data teams to map ownership networks, uncover hidden links, and deliver faster, more confident decisions.
You’ll discover:
See how Graph Technology and AI together can modernize your ownership investigations with speed, accuracy, and regulatory confidence.

