Over 20 customizable, plug-and-play solutions, white-labeled for seamless integration by B2B software companies, enabling rapid deployment and brand-aligned user experiences.
Streamlined & resilient solutions for efficient test data creation, handling, and organization.
AI-powered insights that analyze vast data sets—including code quality, logs, coverage, defects and user behavior—to detect patterns and anticipate potential issues.
Seamless support for API, CI/CD, Agile methodologies, and more, ensuring flexibility across development environments.
A robust online platform catering to all security testing needs, available on demand for comprehensive protection. Integrated Accessibility Testing: Inclusive testing tools embedded within our automation framework to ensure full accessibility compliance.
Reliable automation frameworks for consistent testing across diverse platforms and devices.
Precise and efficient tools for accurate document validation and comparison, ensuring data integrity.
Intelligent solutions for flawless linguistic quality control, enhancing user experience across languages.
AI-driven prioritization of test cases based on risk assessment, helping teams focus on high-impact areas.
Simplified provisioning and management of test environments, reducing setup time and ensuring consistency
Secure test data with real-time masking solutions, ensuring compliance with data privacy regulations.
Automated visual testing to detect UI changes and visual regressions across different screen resolutions and devices.
Live dashboards and in-depth analytics for tracking test progress, defect density, and quality metrics.
Integrated tools to assess application scalability and performance under varied load conditions, ensuring reliability.
Specialized frameworks for end-to-end testing of mobile applications across OS versions, device models, and network conditions
Built-in regulatory compliance checks, ideal for industries like healthcare, finance, and telecom.
Simulate network conditions for realistic testing scenarios, such as latency, bandwidth constraints, and packet loss.
Proactively identify areas prone to defects with AI algorithms, helping prevent issues before they arise.
Simulate dependent systems and services to enable testing even when certain components are unavailable or in development, reducing bottlenecks and improving test coverage.
Ensure that APIs consistently meet contract specifications by automating contract validation, enhancing reliability in microservices architectures.
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