Tursio to show credit union data search at VLDB 2026

Tursio will present a demonstration paper at VLDB 2026 in Boston, showing how its platform turns plain-language questions into governed SQL for credit union data. The company says the approach could cut the manual setup and analyst handoffs that usually slow structured data search in regulated banking environments.

Why it matters: - Credit union staff often need answers from core banking data that sits in systems organized around accounts, not members. - Tursio’s approach aims to let nontechnical users ask those questions in plain language without waiting on a data analyst or report writer. - The platform is designed for regulated environments where data access, business rules and privacy controls have to stay inside the customer’s own security boundary.

What happened: - Tursio was accepted into the demonstration track of VLDB 2026, the 52nd International Conference on Very Large Data Bases. - The conference runs Aug. 31 through Sept. 4 in Boston. - Tursio’s paper, “Tursio for Credit Unions: Powering Structured Data Search with Automated Context Graph,” shows how the company generates a context graph for credit union core data. - The company will demonstrate the system on a sample credit union database at the conference.

The details: - The context graph combines data semantics and business rules to resolve ambiguities in underlying schemas. - Tursio uses that graph to turn plain-language questions into accurate, governed SQL queries constrained by business rules. - The company says the workflow avoids the months of manual setup that many AI and business intelligence tools require. - Core banking platforms such as Symitar are commonly organized around accounts rather than members, which makes ordinary business questions harder to answer directly. - The paper says Tursio infers join relationships across the schema, classifies columns as dimensions or measures, applies symmetric aggregates for dimension tables, and screens for personally identifiable information before a query runs. - Tursio says the platform runs fully inside a credit union’s own security boundary rather than in the cloud. - Conference demos will include resolving ambiguous column names, applying role-based access controls and answering member-centric questions such as identifying accounts with delinquent loans.

Between the lines: - The VLDB appearance puts a credit-union-specific product in front of a database audience that typically focuses on general-purpose systems. - CEO and Co-founder Alekh Jindal said AI makes it possible to specialize more narrowly and build for a specific industry instead of one broad tool for everyone. - The message is that structured data search may be moving from generic analytics wrappers toward domain-specific systems that encode industry rules from the start. - The company’s emphasis on on-premises deployment also signals a pitch to buyers that are cautious about sending regulated data to the cloud.

What's next: - Tursio plans a busy fall of credit union conference appearances after VLDB. - The company is sponsoring America’s Credit Unions’ Operations and Technology Councils’ Conference Sept. 21-24 in Las Vegas. - Tursio will also appear at Jack Henry Connect Oct. 19-21 in Kansas City, Missouri, and VentureTech Nov. 16-18 in Fort Worth, Texas. - A product playground is available on Tursio’s website for people who want to try the platform. - Tursio says interested users can request a free trial or contact info@tursio.ai.

The bottom line: - Tursio is using VLDB 2026 to position itself as a governed, on-premises alternative for credit unions that want natural-language search over core banking data without sacrificing security or business rules.