Expand Your GenRocket Deployment to Unstructured Data
by admin on Aug 13, 2026New Proof of Value Program for GenRocket Customers and Partners
Enterprise Quality Engineering and AI initiatives increasingly depend on documents, images, text, and other forms of unstructured data. But much of the most valuable real-world data contains sensitive PII or PHI that cannot safely move into testing, development, or AI environments. And even when production data can be made available, it rarely provides the volume, variety, negative scenarios, and edge cases needed for comprehensive testing and AI model training and validation.
GenRocket customers and partners can now extend their existing Quality Evolution Platform deployment to address this challenge through the Unstructured Data Accelerator (UDA) Proof of Value Program.
Two Offers, One Framework
Evaluate UDA Redact or UDA Generate independently-or combine them for end-to-end unstructured data provisioning.
AI-assisted detection, validation, and redaction of sensitive PIl/PHI in production documents for testing and AI.
$5,000 • 100 pages • 1-year license
No existing GenRocket platform deployment required
Ideal for: Organizations that need production-derived documents for testing or AI.
Path forward: Safely redact sensitive data, then expand to synthetic generation.
UDA-Generate
AI-assisted replacement of sensitive document values with engineered synthetic data for Quality Engineering and AI.
$5,000 • 5 templates • 1-year license
Leverage an existing GenRocket Platform deployment
Ideal for: GenRocket customers and partners extending synthetic data to unstructured data.
Path forward: Generate controlled synthetic documents with the volume, variety, and conditions you need.
UDA provides two complementary approaches to compliant unstructured data provisioning.
UDA Redact starts with existing production documents. AI-assisted detection identifies sensitive information, human validation confirms the results, and automated redaction removes PII/PHI while preserving the original document structure and real-world fidelity.
UDA Generate goes beyond what production can provide. It combines reusable document templates with GenRocket Design-Driven synthetic data to replace sensitive values and generate realistic variations with precisely controlled conditions, including positive and negative scenarios, rare edge cases, and data volumes on demand.
Together, these capabilities create an evolutionary path from production dependency to controlled synthetic data provisioning: start with real production documents, make them safe through redaction, transform them into reusable templates, and generate scalable synthetic data for Quality Engineering and AI initiatives. The combined workflow delivers the fidelity of production-derived data with the privacy, control, variety, and scale of synthetic data.
The POV program is designed to be flexible. Customers and partners can evaluate UDA Redact independently, evaluate UDA Generate using their existing GenRocket deployment, or combine both to demonstrate the complete unstructured data provisioning lifecycle.
See how far your existing GenRocket investment can take you.