Test data infrastructure for Insurance

Insurance companies face growing demands to modernize legacy systems, launch new digital products, and maintain rigorous compliance—all while ensuring seamless customer experiences and operational reliability. Core platforms like Guidewire, Duck Creek, and Majesco, in addition to ERP, HCM, and other core IT applications only add complexity to the testing challenge.

Synthesized enables insurance organizations to accelerate software delivery by provisioning compliant, production-like test data at scale, helping teams reduce risk and enhance quality across every release.

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Trusted by data teams at world's leading companies

Manual test data creation and fragmented environments slow down innovation in the insurance industry. Generating and managing test data for complex systems is time-consuming, error-prone, and often falls short of meeting strict regulatory requirements such as GDPR and PCI DSS. Legacy applications, cloud migrations, and evolving business needs create additional bottlenecks, while engineering and QA teams spend excessive time resolving data access issues, coordinating with IT, and maintaining compliance. These challenges delay product launches, increase operational risk, and impact customer satisfaction.

Automated test data infrastructure addresses these pain points by enabling secure, scalable, and compliant testing workflows for insurance organizations.

Why synthesized

Synthesized is built for the Insurance industry

Provision compliant, production-like test data

Instantly generate secure, production-like test data for Guidewire, Duck Creek, Majesco, and other core insurance platforms, speeding up test cycles and reducing release delays.

Unified data management across legacy and modern systems

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

Self-service access for distributed teams

Empower distributed insurance 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 GDPR, PCI DSS, and other privacy regulations, protecting sensitive customer and policyholder 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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