Duck Creek is the foundation for policy, billing, and claims management at leading insurers—spanning property & casualty, specialty, and multiline providers. But extensive customizations and integrations make comprehensive testing a challenge—risking compliance gaps and slow releases.
Synthesized delivers secure, production-like test data at scale, so Duck Creek teams in insurance and public sector organizations can accelerate deployments, validate integrations, and ensure every release is reliable.
Trusted by data teams at world's leading companies
We've got you covered
Challenges and how Synthesized solves them
Complex configurations and integrations
Duck Creek’s flexibility means each implementation is unique, making manual test data creation slow and error-prone. Synthesized automates compliant, scenario-rich datasets tailored to your configurations and integrations.
Frequent regulatory changes
Insurance regulations evolve rapidly. Synthesized streamlines compliant data provisioning—enabling fast, audit-ready testing across policy, billing, and claims updates.
Manual data preparation increases risk
Hand-crafted test data is slow, incomplete, and hard to scale. Synthesized automates data generation and refreshes, improving coverage and reducing manual effort.
End-to-end process validation
Policy, billing, and claims workflows span Duck Creek and other systems. Synthesized provides consistent data across platforms to validate real business scenarios.
Environment sprawl and data drift
Multiple test environments and distributed teams lead to inconsistencies and duplicated work. Synthesized standardizes provisioning with reusable workflows, improving repeatability and reducing costs.
Manual QA
Manual testing eats up 30% of overall development efforts
Manual, fragmented QA processes force engineering teams to spend valuable time on repetitive tasks—slowing down release cycles and increasing the risk of human error. As software complexity grows, traditional testing methods simply can’t keep pace, leaving organizations exposed to bugs, delays, and mounting technical debt.
Data compliance risks
With regulations changing yearly, fines are no longer an “if” but a “when”
Data privacy and residency requirements are evolving faster than most teams can adapt. Manual compliance checks and legacy test data management tools create bottlenecks, increase the risk of violations, and make it nearly impossible to ensure every release meets global standards—putting your business at risk of costly fines and reputational damage.
High costs
The cost of releasing quality software has never been higher
Manual, fragmented QA processes force engineering teams to spend valuable time on repetitive tasks—slowing down release cycles and increasing the risk of human error. As software complexity grows, traditional testing methods simply can’t keep pace, leaving organizations exposed to bugs, delays, and mounting technical debt.
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 Duck Creek
Accelerate Duck Creek upgrades and releases
Provision compliant, production-like data on demand to de-risk upgrades, migrations, and new product rollouts.
Enhance regression and compliance testing
Continuously feed test suites with realistic data to catch issues earlier and ensure regulatory compliance.
Reduce risk by design
Apply automated masking, anonymization, and audit trails to meet GDPR, PCI DSS (when payments are present), SOX, and internal audit requirements.
Strengthen end-to-end policy, billing, and claims validation
Deliver consistent data across Duck Creek and connected applications to validate real business scenarios at scale.
Covering Duck Creek testing needs
High-fidelity data for policy, billing, claims, and rating
Generate realistic datasets across core Duck Creek modules—aligned to your configurations.
Migration and upgrade support
Standardize data across legacy and modern Duck Creek environments to validate process and product changes.
Cross-system integration validation
Provision coherent data for Duck Creek plus adjacent platforms (e.g., Salesforce, data warehouses, payment gateways) to test end-to-end flows.
Performance and load-ready datasets
Create scaled, representative data volumes to evaluate performance and stability before peak events.
Partners & integrations
Built to work with your ecosystem
We understand that today’s production data pipelines and development environments are complex and dynamic. So while you can use Synthesized to generate production-like data for your specific POC, it also works with your specific technologies.
Data generation for any development and QA use-case
Streamline the database generation process, ensuring the availability of high-quality production-like data for testing while removing manual effort and accelerating development cycles.
learn more
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.
learn more
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.
learn more
