Surviving software delivery in 2025! Curiosity's next webinar, live on the 21st of November at 4pm GMT.
Align all stakeholders to quality outcomes and create critical assets early, delivering superior software at speed.
Collaborate seamlessly on organisation-wide quality goals
Generate key assets upfront, with measurable coverage to prevent bugs
Maximise productivity, with minimal toil and rework
Visual models align stakeholders and enable upfront critical thinking, reducing costly bugs and avoiding miscommunications.
Automating repetitive test creation, requirements engineering and maintenance enables faster releases with minimal rework.
Instilling quality upfront and ensuring it throughout software delivery finds bugs while they are quick and affordable to fix.
Measuring coverage and generating optimised tests provides transparency and assurance, without under-testing or wasteful over-testing.
Visualise requirements to avoid miscommunications and align every team on quality outcomes. Ensure transparency, foster critical thinking and streamline software delivery.
Provide the domain expertise, specialist feedback and assets your teams need. Virtual assistants pay off technical debt, provide on demand clarity, and augment your tests and requirements.
Unblock delivery and prevent quality issues before they arise. Continuously generate rigorous tests and data, with full transparency and coverage.
Across industries, some of the world’s largest enterprises leverage our platform to deliver superior software faster than ever:
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
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
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
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
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
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.
Johnny Pitt
Founder of ThinkDonate
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
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
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
Start with a free resource. Or, talk with an expert about how you can embed quality and productivity throughout your software your delivery.
Quality Modeller integrates with your people, processes and tools, accelerating requirements engineering, test management, automation and beyond.
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