Tursio, a structured data search platform for credit unions and other regulated industries, has been accepted into the demonstration track of VLDB 2026, the 52nd International Conference on Very Large Data Bases, taking place Aug. 31 through Sept. 4 in Boston.

Building context has emerged as one of the most critical problems in AI, and Tursio’s paper, "Tursio for Credit Unions: Powering Structured Data Search with Automated Context Graph," describes how to generate the context graph for core data in credit unions. It includes both the data semantics and the business rules that help resolve ambiguities in the underlying schemas. The Tursio platform later uses that graph to turn plain-language questions into accurate, governed SQL queries constrained by business rules, without the months of manual setup that most AI/BI tools require.

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