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Relationships your relational database cannot show

Trust accounting systems store data in tables optimized for transactions, not for understanding how entities, accounts, fee arrangements, beneficiaries, and investment structures connect across a family's entire wealth picture.

Our Knowledge Graph builds a graph intelligence layer on top of your operational data — revealing cross-account relationships, entity hierarchies, fee interdependencies, and beneficiary networks that are invisible in traditional reporting.

  • Entity relationship mapping Visualize how trusts, LLCs, partnerships, and individuals connect across your book of business.
  • Fee interdependency analysis Understand how fee arrangements cascade across related accounts and entities.
  • Beneficiary network visibility See beneficiary relationships across accounts — critical for regulatory reporting and estate planning coordination.
  • Cross-account intelligence Identify concentration risk, related-party transactions, and structural anomalies across account families.

Built on graph science, informed by trust operations

Got-Data Inc. brings Neo4j-certified graph engineering expertise to a domain where relationship complexity is the norm, not the exception. The Knowledge Graph is not a generic visualization tool — it is purpose-built for the entity structures, fiduciary relationships, and fee mechanics that define wealth management operations.

We are currently accepting early access partners who want to shape the product against real institutional data models and use cases.

Join early access

Partner with us to build the graph intelligence layer your institution needs.

Join early access