ZENGINES MEDIA KIT
Cleared for editorial use. Press inquiries: Jess (Schultz) Poindexter, jess.schultz@zengines.ai

AT A GLANCE
Founded: 2020
Headquarters: Boston, Massachusetts
Co-founders: Caitlyn Truong, Todd Stone, Carl Drisko
Category: AI data readiness platform for financial services
Products: Contextual Data Lineage; Turnkey Data Migration Platform
Funding: $14M raised across announced rounds
Legal name: Zengines, Inc.
Spokesperson: Caitlyn Truong, CEO & Co-founder
Recognition: FinovateSpring 2026 Best of Show; Info-Tech Women Leading IT 2025 (Caitlyn Truong); Responsible AI Trailblazer, Ally Financial Innovation Challenge 2024; 5.0 on G2

ABOUT ZENGINES — approved descriptions. Use as written.

ONE-LINER
Zengines is the AI Data Readiness Platform that enables enterprise AI to scale in financial services, connecting and contextualizing the oldest and messiest data so it’s trusted, explainable, and AI-ready.

SHORT DESCRIPTION
Zengines is the AI Data Readiness Platform that enables enterprise AI to scale in financial services. Enterprises use Zengines to connect and contextualize the most critical layers, for the oldest and messiest data, so it becomes trusted, explainable, and AI-ready.

Two products, one outcome. Contextual Data Lineage reads the logic inside decades-old COBOL, RPG, and PL/1 code and explains, in plain English, how and why every value is what it is. The Turnkey Data Migration Platform maps, validates, and reconciles data as it moves, and its Logic Discovery feature surfaces the business logic and exceptions other tools miss. Both put business analysts, not armies of engineers, in the driver’s seat.

The result: implementations up to 80% faster, analysts 6x more productive, 99% fewer reconciliation breaks, and legacy analysis compressed from months into minutes, proven at Fortune 100 financial institutions.

LONG DESCRIPTION
Zengines is the AI Data Readiness Platform that enables enterprise AI to scale in financial services. Every board is asking the same question: how can we be successful with AI? Many institutions already have AI in production, quietly acting on the wrong context and answering confidently wrong. The gap isn’t model selection or infrastructure. It’s the data underneath: messy and untrustworthy, missing the context of why it looks the way it does, and locked in legacy systems like mainframe and AS/400 that run the calculations behind regulatory reporting, risk models, and core operations.

The world is moving to an AI operating system, with agents relying on a semantic layer, modeled data, and lineage underneath them. Enterprises use Zengines to connect and contextualize the most critical layers, for the oldest and messiest data. AI-ready data comes down to two things: data that’s trusted across every system change, and data whose logic and origin can be explained. Zengines delivers both: two products, one outcome.

Contextual Data Lineage reads the logic inside the code: the calculations, branching conditions, field-level relationships, and business rules locked in COBOL, RPG, and PL/1 across mainframe and AS/400 systems. Where traditional lineage and code-analysis tools stop at what’s already written, Zengines follows a single data element across every program that touches it and explains, in plain English, how and why every value is what it is. Teams can pinpoint the elements feeding regulatory reports, see what depends on them, and defend every number to analysts, regulators, and the AI models themselves.

The Turnkey Data Migration Platform is an AI-native operating system for the full conversion lifecycle: analysis, mapping, execution, validation, and reconciliation. Its Logic Discovery feature surfaces the business logic and exceptions around systems as data moves, including the spreadsheets, workarounds, and shadow IT where no other tool can see. Migration becomes a repeatable capability rather than a one-time project, so core conversions, system implementations, and recurring client onboarding stay fast, governed, and ready for whatever system comes next.

Both products put business analysts, the people who understand the data best, in the driver’s seat without coding expertise, instead of depending on scarce COBOL specialists and engineering queues as SMEs retire and documentation falls behind. The results: implementations up to 80% faster, analysts 6x more productive, and legacy analysis compressed from months into minutes. Zengines is proven at Fortune 100 financial institutions on codebases of 80,000 COBOL modules. At one Fortune 100 bank, it de-risked moving a core accounting function off the mainframe, cutting reconciliation breaks by 99% and producing a Critical Data Elements report for a system with no prior documentation.

Zengines serves large financial institutions facing mandates like BCBS 239, ORSA, and Solvency II, the software and services firms that convert client data again and again, and the Tier 1 consulting firms that guide them. AI-ready data isn’t a destination; it’s the outcome of two capabilities working together. The institutions making the most progress on AI aren’t the ones with the most ambitious model strategies. They’re the ones who have done the foundation work, and Zengines is how that foundation gets built, faster and with far less risk. Unlock data. Unlock AI.

NAME USAGE
In text, Zengines is one word, with only the Z capitalized (the logotype itself is set in lowercase). It is not "ZenGines," "Zen Engines," or "Zengines.ai" (zengines.ai is our website). Product names are Contextual Data Lineage and Turnkey Data Migration Platform. The legal entity is Zengines, Inc.

LEADERSHIP
Caitlyn Truong, CEO & Co-founder
Caitlyn Truong is the CEO and co-founder of Zengines. She has more than 20 years of experience advising financial services, telecommunications, and energy companies on data, digital innovation, AI, automation, and technology modernization. Before founding Zengines, she was a leader at Accenture, PwC Strategy& (formerly Booz & Company), and Deloitte, advising C-suite executives. In 2025 she received the Info-Tech Women Leading IT Award. Caitlyn speaks on AI data readiness, legacy modernization, and data lineage in financial services.

Todd Stone, President & Co-founder
Todd Stone is the President and co-founder of Zengines, overseeing operations, finance, and administration. A technology executive with decades of leadership in enterprise software, risk management, and SaaS, Todd previously co-founded and led ProcessUnity, a SaaS platform for vendor and third-party risk management used by global organizations, and held leadership roles at CSC and IBM spanning software development and global deployment.

Carl Drisko, Strategic Advisor & Co-founder
Carl Drisko is a Strategic Advisor and co-founder of Zengines, where he previously served as CTO. Before Zengines, he was a Principal at Strategy& (formerly Booz & Company) and a Partner at Booz & Company, advising executives on strategy and technology modernization. Earlier, he was Global Strategic Partner Executive at Novell, founder and CEO of Infocade, and President of Logistics.com, and held senior technology roles at CSC specializing in software and services for banks, including cash management, payments, and financial EDI.

BRAND
Colors: Ink #1E1E28 (primary text) · Lantern #FF774D (primary accent) · Deep #16161F (dark surfaces) · Paper #FDFDFC · Blue #EBF5FA · Sage #F4F8F2
Typography: FK Grotesk SemiMono (headings, figures, labels) · Instrument Sans (body)
Logos: use as supplied; don't recolor, stretch, outline, or add effects.

FOLLOW
LinkedIn: linkedin.com/company/zengines · YouTube: @zenginesai · G2: g2.com/products/zengines · Web: zengines.ai
