Boston, MA - March 4, 2026 - Zengines, an AI technology company specializing in data migration and mainframe and AS400 data lineage, today announced it has been selected to demo live at FinovateSpring 2026, taking place May 5–7 in San Diego, California.
Finovate is one of the most prestigious fintech event series, drawing over 1,200 senior-level executives from banks, credit unions, and financial institutions - including nine of the top 10 U.S. banks. Demo slots are awarded through a competitive application and selection process, with only the most innovative and market-ready fintech companies earning a spot on stage.
Zengines will use its seven-minute live demo - Finovate's signature format - to showcase its Data Lineage product: an AI-powered research and visualization tool purpose-built for large financial institutions managing the complexity of “black box” systems.
What sets Zengines apart? Traditional lineage tools show you the map - at the surface level. Zengines gives you the map and the context behind it - built exclusively for the decades-old COBOL, RPG, and PL/1 systems no one fully understands anymore.
Conventional tools produce technically accurate data flow diagrams. They cannot tell you why a calculation exists, what business rule drives it, or what it means for your regulatory obligations. That context is buried in the code itself - and Zengines is built to surface it.
Two things define the Zengines platform:
- Contextual lineage - Beyond data flow, Zengines captures the intent embedded in legacy code: calculation logic, branching conditions, field-level relationships, and business rules across thousands of modules. Raw lineage becomes actionable intelligence.
- Legacy-codebase focus - Zengines specifically targets COBOL, RPG, and PL/1: the systems where the stakes are highest. Decades of accumulated business logic. Subject matter experts retiring faster than institutions can document what they know. No individual holds the full picture - and that risk is growing.
Together, these enable three outcomes financial institutions are struggling to achieve today:
- Regulatory compliance - Generate audit-ready lineage evidence for CDE, BCBS-239, and ORSA quickly and accurately
- Safe modernization - Reverse-engineer the "why, where, and how" of legacy code before migrating or replacing systems
- Live system confidence - Know your mainframe well enough to manage it: supporting teams, answering questions, and making changes with certainty
"Being selected to demo at Finovate is a meaningful validation of what we've built," said Caitlyn Truong, CEO and Co-Founder of Zengines. "The financial institutions in that room are dealing with exactly the challenges our lineage tool was designed to solve - regulatory mandates, modernization programs, and the 'black box' problem of legacy systems that no one can fully see into. We're excited to show them that contextual lineage is what actually moves the needle."
“Finovate demos are about showing, not telling, and Zengines’ contextual data lineage is something that I’m sure our audience is going to really appreciate seeing at FinovateSpring this May,” said Greg Palmer, VP and Host of Finovate. "The FI’s in our audience are wrestling with legacy infrastructure that's been accumulating complexity for decades. Zengines' ability to understand what's inside those systems before trying to modernize them or meet regulatory requirements is exactly the kind of solution that is likely to resonate with them.”
The Zengines Data Lineage tool is currently deployed at several Fortune 100 financial institutions across codebases spanning hundreds of thousands of source modules and tens of millions lines of code, where teams use it at enterprise scale to accelerate analysis that previously took months down to minutes.
FinovateSpring 2026 will feature RegTech, AI, data optimization, and risk management among its key themes - making it an ideal stage for Zengines to connect with the financial institutions and consulting partners navigating solutions to support these exact priorities.
About Zengines
Zengines is an AI technology company helping financial institutions trace, map, change, and move their data to manage legacy systems, modernize, and meet regulatory compliance requirements. Our Mainframe Data Lineage solution goes beyond traditional lineage tools by delivering contextual intelligence - not just where data flows, but the business logic, calculation rules, and institutional knowledge embedded in decades of legacy code. Our Data Migration platform accelerates data conversion programs using AI, reducing time and risk across core conversions, system implementations, and new client onboarding. Zengines serves financial services firms and their technology and service provider partners - where the cost of getting data wrong is highest.
Learn more at zengines.ai