Synthesized delivers an AI-native platform that automates the creation, masking, subsetting, and provisioning of test data at enterprise scale. Its technology addresses a persistent bottleneck in software development: the availability of secure, high-quality, production-grade data for testing. By unifying these functions, the platform enables organisations to achieve what the company reports as 2x faster test cycles, up to 80% cost savings, and complete test coverage.
The platform provides deep support for both SAP and non-SAP environments, a distinction of particular relevance to large enterprises running complex, heterogeneous technology stacks. Its core technical domains span artificial intelligence, test data automation, software testing, data masking, and data provisioning.
Synthesized serves clients across sectors where data integrity and security are non-negotiable, including banking, financial services, government, and the broader enterprise software market. For engineers and data professionals drawn to applied AI problems with measurable impact on development velocity and cost, the work at Synthesized sits at a consequential intersection of machine learning and DevOps tooling.
