Cut Legacy TDM Costs by 50–75% — and Build the Foundation for AI
As organizations increase investment in AI and automation, many technology leaders are rethinking legacy Test Data Management. In this executive webinar, Garth Rose, Co-Founder and CEO of GenRocket, explains how organizations are reducing production-data dependency, lowering data provisioning costs, improving software quality, and strengthening privacy compliance — all while creating a practical roadmap toward the Synthetic Enterprise™.
You’ll learn how to:
- Reduce legacy TDM operating costs by 50–75%
- Lower production-data dependency with synthetic-first strategies
- Improve software quality, operational efficiency, and privacy
- Replace legacy TDM while preparing your organization for AI
Garth Rose & Doug Smith
GenRocket leadership & solutions teamWatch the on-demand recording
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Your speakers
Strategy and hands-on engineering, in one room.
Garth Rose
30+ years growing technology businesses, with multiple VC-backed startups led and acquired.
Doug Smith
35+ years in technology and 10 years in Test Data Management, formerly at Delphix.
Get the presentation deck
Every slide from the session — the TDM cost breakdown and the walkthrough of Model, Design, Deploy, Manage — to share with your team.
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See GenRocket in action
Three short demos of Design-Driven Synthetic Data at work — no GANs, no black box, just designed data on demand.
Replace sensitive values right where they sit with synthetic data that holds format and referential integrity — your first step from masking toward fully synthetic, with no new copies of production.
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Pull a smaller, referentially-intact slice of data on demand — test against realistic subsets instead of cloning full production, and spin them up whenever a test needs them.
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Mask sensitive data inside files — CSV, JSON, XML and more — with synthetic replacements that keep structure and relationships intact across every record.
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