Q3 Roundup: A Quarter of Conversations, Programs & Partnerships
by admin on Oct 01, 2026
Some quarters are about product launches. This one was about conversations — with quality engineering leaders, financial services and healthcare teams, and partners across the ecosystem. They kept coming back to one idea: when testing moves at machine speed, test data can’t keep up with human speed. Here’s what we shared, built, and learned.
UDA Proof of Value Program — Unstructured Data, Unlocked
Up to 90% of enterprise data is unstructured — claims forms, IDs, clinical notes, loan files — and most of it sits locked behind privacy, security, and residency rules. Your AI and QE teams need it; they just can’t use it. The UDA Proof of Value Program is a low-risk way to change that:
- UDA-Redact: permanently removes PII/PHI from real production documents, with the original data and page layout intact
- UDA-Generate: creates unlimited realistic synthetic documents on demand, including the negative data and edge cases production never gives you
- Fixed-price and focused: measurable results in weeks, not quarters
Data Quality Evolution:tm:: How to Reduce Legacy TDM Costs by 50–75% While Building the Foundation for AI
Legacy TDM quietly drains budgets — licensing, infrastructure, services, and the daily drag of managing masked copies of production data. Forrester’s TEI math puts it near $934K a year for a single modeled deployment. Garth Rose (Co-Founder & CEO) and Doug Smith (Director of Solutions Engineering) show how to cut that by 50–75% and put the savings toward the data foundation your AI initiatives need.
- Where legacy TDM really stands in the age of AI
- How synthetic-first, on-demand test data works, with full referential integrity
- A live In-Place Masking demo
Live Session: The Unstructured Data Challenge
How do you test and train AI on real documents, contracts, and statements without exposing a single piece of sensitive production data? Ulas Kumar (AI Practice Lead, GenRocket) and Dave Zwicker (CMO, GenRocket) explored it live on September 23.
- Enterprise applications and intelligent document processing
- What agentic AI systems need from unstructured data
Podcast: GenRocket × Capgemini
At one major bank, production data covered roughly 50% of test cases. The other 50% is where the biggest risks hide. Garth Rose and Stephen Benjamin (CU Lead – Test Data & Test Environment Management, Capgemini FS QE&T) explain why design-driven synthetic data is becoming essential for financial services:
- Negative scenarios and boundary conditions
- Fraud patterns
- High-volume data for load and performance testing
PARTNERSHIP NEWS
GenRocket × Qapitol: The AI Validation Tradeoff Is Over
AI assurance is only as trustworthy as the data behind it. Our partnership with Qapitol brings deterministic synthetic data and AI assurance into one compliance-ready workflow, from data provisioning to deployment validation.
- GenRocket’s governance-ready synthetic datasets feed directly into Qapitol’s Nexus and CHEQ
- Run complete AI evaluation pipelines without production records
- Keep test data and assurance evidence in one clear audit trail
AI assurance is only as trustworthy as the data behind it. Our partnership with Qapitol brings deterministic synthetic data and AI assurance into one compliance-ready workflow, from data provisioning to deployment validation.
Future of QE: From Validation to Value Creation (with Capgemini & TestMu AI)
a fireside on what agentic QE demands, plus live DataConnect:tm: showcases. The ch’AI’ was hot; the questions were hotter.
CollabEx 4.0, Chennai (with Capgemini & TestMu AI)
live demos across core banking, insurance, and credit workflows.
25 Years of Infosys Quality Engineering, Hyderabad & Pune
two cities, buzzing booths, and new teams introduced to GenRocket. Congratulations, Infosys QE!
TestMu Conference 2026
proud partner to 50,000+ engineers and QA leaders, August 19–21.
FRESH READS
The Silent Multiplier — 93% of organizations hand dev and test teams production data, only 54% protect it, and 45% keep three or more copies. A practical roadmap to Protect, Expand, and Scale toward the Synthetic Enterprise:tm:.
Quarter after quarter, one thing keeps proving true: the future of testing won’t be built by improving yesterday’s approaches. It will be shaped by rethinking them, together. Thank you for being part of these conversations. We can’t wait to share what’s brewing for Q4.
If anything here maps to a project on your desk, reply and we’ll connect you with the right person.
Until next quarter,
— The GenRocket Team