Finopotamus · April 2026

In the recap of Fintech Meetup 2026, Finopotamus featured Tursio among a small group of AI pioneers reshaping how credit unions and banks operate. The article — "Fintech Meetup 2026: AI-Driven Operational Efficiency and the New Frontier of Data Access" by John San Filippo — explores how purpose-built AI is moving from novelty to operational infrastructure across financial services, with secure data access as the central frontier.

Tursio's section in the piece centers on what we believe is the defining barrier to AI adoption in regulated industries: the risk of moving sensitive member data into the cloud. As CEO Alekh Jindal explained to Finopotamus, Tursio addresses this with in-database AI models that operate entirely within the institution's own security boundary, letting staff query core systems in natural language without the data ever leaving its secure environment. VP of Go-to-Market Murali Mahalingam added that credit unions have responded strongly to the self-service nature of the product and the fact that Tursio doesn't move or touch underlying data.

The article also features Corning Credit Union, a $2.6 billion institution in Corning, New York, that sought out Tursio specifically to solve data privacy challenges. Tom Foster, VP of Product, Project Management and Data Analytics at Corning, told Finopotamus: "This 'bring AI to the data' approach was a critical security and time-to-market advantage for us."

Foster noted that Corning is currently using Tursio for ad hoc analysis and data pulls, with plans to expand into daily operations including fraud detection.

The full article — which also covers perspectives from Titan AI, Roe AI, and Shiftmate — is available on Finopotamus.