Syntho Guide for Software Vendors

Accelerate product innovation

Software vendors operate in high-speed markets where release cycles keep getting shorter. Teams need realistic test data to build and launch features quickly, but privacy rules, slow data provisioning, and outdated masking methods often get in the way. This leads to delays, missed bugs, expensive post-deployment fixes, and blocked innovation.

Why You Can’t Just De-Identify Data Anymore

Even after masking, data can be re-identified. Privacy laws now require stronger protection before reuse in testing. Synthetic data replaces sensitive information entirely, while keeping the structure, logic, and complexity of your original datasets so you can move faster without risk.

What you’ll learn in this guide

• Software Vendors’ Test Data Challenges
  Understand why legacy masking, de-identification, and manual workarounds slow releases, limit coverage, and fail to meet today’s privacy standards
• The Strategic Value of Synthetic Data
  How software vendors use data masking, rule-based and AI-generated synthetic test data to accelerate releases, stay privacy-preserving, and enable more complete, scenario-rich testing
• Top Use Cases & ROI Examples
  Explore real software vendor scenarios, from faster feature testing to realistic demo environments, and the measurable business impact of solving them.
  • Product & Feature Development
  • Development, testing, acceptance and production (DTAP)
  • Process Innovation​
  • Demo Data
  • Data Sharing & Protection
  • AI Innovation & Modeling​
• Gain a competitive edge by leveraging synthetic data for business innovation
  Learn how synthetic data reduces privacy barriers, improves quality, and unlocks faster product cycles in a highly competitive market.