Test data infrastructure for Healthcare and Life Sciences

Healthcare organizations are under constant pressure to innovate, meet strict regulatory requirements, and safeguard patient data—all while maintaining seamless operations across complex platforms like Epic, Cerner, and Meditech. Reliable application testing is critical to ensure patient safety, data privacy, and operational efficiency.

Synthesized empowers healthcare providers to accelerate software delivery by provisioning compliant, production-like test data at scale, helping teams improve quality and reduce risk across every release.

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Trusted by data teams at world's leading companies

Manual test data creation and fragmented environments are major obstacles in healthcare IT. Generating and managing test data for diverse systems is slow, resource-intensive, and often fails to meet regulations such as HIPAA and GDPR. Privacy concerns and compliance requirements complicate data management, while legacy applications and ongoing digital transformation initiatives create additional bottlenecks. Engineering and QA teams spend valuable time resolving data access issues, managing compliance, and coordinating with IT—slowing innovation and potentially impacting patient care.

Automated test data infrastructure transforms healthcare testing by enabling secure, scalable, and compliant workflows that support rapid innovation and protect sensitive information.

Financial Services

How UBS advances data privacy and operational excellence with Synthesized

UBS partnered with Synthesized to overcome regulatory bottlenecks and slow, manual test data workflows. By automating the creation of high-fidelity, compliant test data, UBS empowered global teams to innovate faster, reduce risk, and unlock new opportunities for experimentation—all while maintaining the highest standards of data privacy and operational excellence.

70%
Reduction in compliance-related delays for new releases
Zero
Data privacy incidents or regulatory fines since implementation
+40%
Increase in test coverage across global business units
banking & investment

How Deutsche Bank modernizes QA with compliant, scalable test data infrastructure

Deutsche Bank’s Credit Risk Technology team adopted Synthesized to automate the generation of complex, production-like test data for ESG onboarding and beyond. The result: faster, compliant testing, seamless CI/CD integration, and a reusable foundation for future automation—empowering both technical and non-technical teams to deliver with confidence.

80%
Reduction in manual test data provisioning time
3x
Faster onboarding of new regulatory and ESG requirements
+30%
Increase in developer and QA productivity across teams
Why synthesized

Synthesized is built for the Healthcare & Life Sciences industry

Provision compliant, production-like test data

Instantly generate secure, production-like test data for Epic, Cerner, Meditech, and other core healthcare platforms, reducing test cycle times and release delays.

Unified data management across legacy and modern systems

Consolidate test data management for both legacy and cloud-based healthcare applications, ensuring consistency and reliability in every environment.

Self-service access for distributed teams

Enable healthcare teams to access compliant test data on-demand, eliminating bottlenecks and improving productivity.

Automated data privacy and regulatory compliance

Automate data masking and anonymization to meet HIPAA, GDPR, and other privacy regulations, safeguarding sensitive patient information.
Generate

Data generation any development and QA use-case

Automate and streamline the test data generation process , ensuring the availability of high-quality production-like data for testing while removing manual efforts and accelerating development cycles.
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Generate
Mask

Reduce the risk with codified regulatory rules

Ensure regulatory compliance and reduce risk by encoding masking policies that protect sensitive data from breaches and legal liabilities.
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Mask
Subset

Access the right data, not all the data

Enable secure, role-specific data access, or create tailored subsets and selectively mask sensitive information to balance usability and protection.
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Subset
“Not only did the Synthesized platform help us save tens of thousands of pounds per project in costs, but it also helped us discover defects that we would have otherwise missed before they went live — improving not only our testing coverage, but the software itself.”
Gil Perez
Former CIO
“Via Synthesized, the bank’s engineering teams have access to the test data they need — speeding up testing, driving more accurate outcomes and shortening time to market.”
Mike Dargan
Global CTO
“Synthesized is at the forefront of AI-native test data solutions, perfectly complementing Qualitest's focus on agile and scalable enterprise transformation. Together, we’ve helped clients reduce testing costs by up to 80% while enhancing the quality of their software releases. I'm excited to continue building on this momentum in 2025.”
Aviram Shotten
CTO
“Cognizant is collaborating with Synthesized on their Generative-AI-native test data management platform. We have seen promising results in our Banking and Financial Services sector during FY24 and are optimistic about the potential for continued collaboration and value creation for our clients in 2025.”
John Da Gama-Rose
Head of BSFI
“Synthesized’s AI-native approach is transforming enterprise testing and QA. Their strong traction in FY24, particularly in BFSI, reinforces their leadership in test data automation. I will continue to promote Synthesized with editors of core banking systems as well as banks in all continents.”
Alexander Dembitz
Chairman
“Synthesized is setting a new benchmark for AI-driven test automation. Their success last year highlights strong enterprise demand, and I believe they are well-positioned to become a foundational player in the testing space.”
Al-Noor Ramji
Board Member

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Generate high-fidelity production-like databases for testing and development with only a prompt.
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