At Curiosity Software, we set the global standard for test data management, empowering enterprises to unlock the full potential of their data. Our AI-powered test data platform helps organisations overcome complexity, legacy, scale, and regulatory compliance challenges.
Not only do we strive for excellence in data quality, but also in our operations. Our commitment to excellence extends throughout our software, customer support, and team.
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A strong desire to learn, innovate, take risks and explore new ideas is fundamental to our continued success. Curiosity is in the DNA of our people and our company.
We collaborate closely with our customers, partners and colleagues, continuously innovating our software and services, and improving the data that powers the world.
Curiosity focus on unlocking the full potential of data, addressing the critical productivity blockers in your ecosystem by providing innovative enterprise test data management solutions.
Spanning four decades, companies co-founded by Curiosity’s leadership have set standards in test data management.
Our team worked together at award-winning companies, pioneering techniques in test data management, data visualisation, data coverage, and AI-accelerated data delivery.
Today, we continue our mission to redefine how enterprise test data is understood, delivered and managed.
Curiosity redefines enterprise test data management. We empower enterprises to thrive when delivering superior software, overcoming the test data challenges holding them back – complexity, legacy, and scale.
Building on decades of experience in unblocking enterprise data delivery, our pioneering approach transforms how enterprises manage data. We focus on key productivity blockers: test data discovery, delivery, compliance, and quality.
Our Enterprise Test Data® platform empowers your teams by simplifying your complex application landscape, and providing you with confidence and clarity at every step of your data journey.
Manually finding and making data adds up to one of the most resource-intensive, time-consuming tasks in testing and development. Automating provisioning can make the difference when striving to hit release deadlines and stay on budget.
Senior Test Data Engineer
AI is making system data more complex than ever. Developing AI-driven, AI-built systems requires diverse data that reflects intricate relationships, trends and hierarchies. Model-based data generation is perfect for overcoming this complexity.
Principal Test Data Engineer
Using generative AI to visualise complex requirements provides the clarity developers need to build quality systems. The same models then generate optimal tests, testing continuously and paying off technical debt in requirements, tests and code.
Chief Technology Officer
Testers and developers can spend 20-50% of their time on data-related activities. Accurately and automatically provisioning test data is one of the biggest and fastest wins for enterprises seeking to deliver software faster and with better quality.
Test Data Engineering Lead
Curiosity’s models ensured the reliability of complex connections between user types, so payments stay on target and private data remains secure … They identified minor and major bugs, so we could bring our product to market quickly—and guarantee our users a simple, worry-free experience.
John McElroy
President of Eljin Productions
Payment platforms and complex banking systems are perfect for model-based data generation. We can break their intricate logic down into intuitive visual models, applying algorithms that create the smallest message set needed to cover diverse combinations.
Program Manager, ISO 20022
Visual models break our system down in reusable chunks that generate the functional and visual tests we need. We can further assemble these reusable building blocks automatically as new courses are checked in, generating rigorous tests.
Greg Sypolt
VP of Quality Engineering
Curiosity’s platform enabled rigorous in-sprint testing, while facilitating cutting-edge development practices like shift left API testing, fail-fast experimentation, and test-driven API design. It worked seamlessly alongside our teams and processes.
Johnny Pitt
Founder of ThinkDonate
Importing requirements to visual models not only generates rigorous test automation at speed; it also improves the requirements and pays off technical debt. This transparency and shared vision allows critical thinking upfront, while building quality throughout the delivery lifecycle.
Product Owner
Miscommunications, silos, and a lack of transparency create bottlenecks throughout software delivery. AI can now diagram complex requirements and generate tests. This not only accelerates delivery and pays off technical debt; it also provides a collaborative vision that aligns every team.
VP of Application Delivery
Streamline your data delivery with our AI-powered Enterprise Test Data platform.
