Sii and Synthesized join forces to accelerate software testing with AI-driven synthetic data

Sii has entered a strategic partnership with Synthesized, a technology company delivering an AI-driven Test Data Management and synthetic data platform for modern software engineering and quality assurance. Through this cooperation, Sii expands its advanced testing portfolio with automated synthetic test data generation, enabling clients to modernize their testing processes while meeting strict data privacy and regulatory requirements.

AI-driven synthetic test data: a modern answer to a long-standing challenge

Access to high-quality, production-like test data remains one of the most persistent challenges in software testing. Traditional approaches based on copying and anonymizing production databases are time-consuming, difficult to scale, and increasingly limited by data protection regulations such as GDPR.

Through its partnership with Synthesized, Sii offers a modern alternative by replacing static datasets with AI-generated synthetic test data that:

• accurately reflects real data structures, relationships, and business logic,
• contains no real personal or sensitive information,
• can be generated automatically and on demand.

This approach removes a major bottleneck in test environments, supports shorter and more predictable test cycles, and enables smoother software delivery pipelines.

Strengthening Sii’s AI-driven testing portfolio

The cooperation with Synthesized reinforces Sii’s strategy focused on the practical use of AI in software testing. While AI-powered test automation and performance testing platforms improve test design, execution, and optimization, their effectiveness often depends on access to realistic and compliant test data.

Synthesized addresses this challenge by applying advanced machine learning techniques to model real-world data structures and relationships, generating high-fidelity synthetic datasets that integrate seamlessly with automated testing pipelines. The platform complements AI-driven tools, such as mabl and Tricentis Tosca, as well as performance testing solutions like Tricentis NeoLoad, helping eliminate data-related friction in CI/CD pipelines.

Together, these capabilities enable organizations to implement Continuous Testing at scale and align test automation with DevOps practices – without compromising data security or regulatory compliance.

“Test data plays an increasingly important role in enabling organizations to evolve their systems efficiently and securely. Today’s clients expect shorter change cycles, stronger data governance, and full regulatory compliance. Our collaboration with Synthesized allows us to meet these expectations at scale, in a way that reflects the realities of large, complex IT environments” – says Marcin Laksander, Senior Competency Center Director at Sii Poland.

Proven value in large-scale banking environments

The Synthesized platform has already demonstrated measurable results in complex, highly regulated enterprise environments, including the banking sector.

A leading global banking organization adopted Synthesized to provide test data at scale for multiple engineering teams. By enabling self-service access to compliant, production-like synthetic data, the organization significantly reduced its reliance on static test databases and manual data preparation. As a result, development and testing teams accelerated delivery cycles, improved test coverage and quality, and lowered operational overhead related to repetitive data handling.

In this environment, the use of AI-driven synthetic data contributed to measurable improvements in development and testing cycle times – reported at up to approximately 30% – while ensuring full compliance with internal security policies and external regulatory requirements.

Transforming test data management with Sii’s expertise

As part of the partnership, Sii supports clients throughout the transformation of their Test Data Management processes, including:

• implementation and configuration of the Synthesized platform,
• migration from manual, static data workflows to automated, data-as-code approaches,
• infrastructure optimization through intelligent data subsetting to create lightweight and consistent datasets,
• application of advanced AI-driven data masking techniques when working with sensitive production data.

By combining Sii’s extensive Quality Assurance and Test Data Management expertise with Synthesized’s AI-powered platform, the partnership delivers a scalable, enterprise-grade, and compliance-ready approach to software testing – helping organizations improve delivery speed, enhance quality, and reduce operational risk across complex IT environments.