Driving global enterprise quality
Our enterprise customers win at delivering high-quality software
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Setting the global standard in software delivery
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Quality
Not only do we strive for excellence in software quality, but also in our operations. Our commitment to excellence extends throughout our software, customer support, and team.
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Curiosity
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.
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Partnership
We collaborate closely with our customers, partners and colleagues, continuously innovating our software and services, and improving the software that powers the world.
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Innovation
Curiosity focus on addressing the critical productivity blockers in your software ecosystem by providing innovative data management and quality engineering solutions.
Market-defining solutions
Spanning four decades, companies co-founded by Curiosity’s leadership have sets standards in software delivery.
Our team worked together at these award-winning companies, pioneering techniques in test data management, test generation, requirements engineering, and AI-assisted quality.
Today, we continue our mission to redefine how software is delivered, empowering enterprises to lead markets.
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Set the global standard in software delivery
Curiosity redefines software delivery. We empower enterprises to thrive when delivering superior software, overcoming the challenges holding them back – complexity, legacy, and scale.
Building on decades of experience in unblocking enterprise software delivery, our pioneering approach transforms how enterprises deliver software. We align the “inner” and “outer” loops of software delivery, focusing on key productivity blockers: quality and test data.
Our platform empowers your enterprise to achieve unbeatable productivity, unlocking quality and scalability throughout software delivery.
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The world's most innovative enterprises use Curiosity
- View all industries
- Finance and banking
- Telecommunications
- Government
- Technology Software
- Accounting Services
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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.
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Greg Sypolt
VP of Quality Engineering
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.
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Chief Technology Officer
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.
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Principal Test Data Engineer
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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.
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John McElroy
President of Eljin Productions
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.
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Senior Test Data Engineer
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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
Quality Modeller 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.
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Johnny Pitt
Founder of ThinkDonate
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.
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Program Manager, ISO 20022
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.
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Test Data Engineering Lead
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.
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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.
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VP of Application Delivery