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This meeting is designed to understand your interest in talking to Curiosity, and how we can collaborate to solve your enterprise test data delivery needs.
We'll discuss how you heard about our team, why you're getting in touch, and the best next steps to accelerate your software development.
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Start your journey to superior test data management
Discover
Gain full visibility into your application landscape. Understand what data exists, how it’s structured, where it’s located and who uses it for more informed decision-making.
Act
Intelligently execute on insights gained from the discovery and monitoring phases of your test data journey within our end-to-end Enterprise Test Data® platform.
Monitor
Proactively govern your test data and leverage AI-driven insights, to help you anticipate issues, optimise processes, and ensure compliance across your whole enterprise.
Transforming data at global enterprises
Across industries, some of the world’s largest enterprises leverage our platform to deliver quality data faster than ever.
- View all industries
- Finance and banking
- Telecommunications
- Government
- Technology Software
- Accounting Services
On-demand test data generation
- 5-day provisioning reduced to self-service
- Optimal quantities and variety of data on demand
- Data ranging from DB2 mainframe to BigQuery
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
On-demand, synthetic data warehouses
- Data generation for an AI-driven platform
- 50% more test data than all client data combined
- 18 test databases drive parallel development
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
AI-assisted requirements modelling
- 25% forecast reduction in bugs hitting code
- 8-20x fewer tests, generated with optimal coverage
- 30% forecast reduction in overall test design time
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
Self-service test data
- $2M saved in year 1 provisioning costs
- 400 users run 1,000 provisioning jobs per week
- 50 weeks’ of labour time saved every week
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
Launching a business critical platform
- 8x increase in test design speed
- Optimal test coverage for bug-free releases
- Synthetic test data removed privacy risks
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 message generation
- 33x faster ISO 20022 message creation
- ½ day to regenerate test messages after a requirements change
- £300k saved in just one project
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
Continuous, collaborative test generation
- Generate new tests within minutes of code check-ins
- 85% of systems automated in 9 months
- 100% permutation coverage
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
Automated API test generation
- Rigorous API testing within 2-week sprints
- 25x reduction in test volume vs exhaustive testing
- Optimal coverage, without under- or over-testing
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
Optimal requirements and tests
- 15x faster test creation vs scripting
- 10x faster test case design in Jira
- 50% overall increase in test coverage
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
Collaborative requirements & test generation
- AI imports and augments BPMN requirements
- Test suite generation in 45 minutes for new requirements
- Integration with written user stories and process maps
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
Build a complete picture of your application landscape
Our platform provides integrations and accelerators for your data, processes, and tools.
Book a meetingSet the standard in enterprise test data
Streamline your data delivery with our AI-powered Enterprise Test Data® platform.
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