GenAI Testing Services

Prompt and Accuracy Testing: Validate the accuracy and reliability of responses generated by AI models across diverse input scenarios, including edge cases.

Performance and GenAI Latency Testing: Verify system response times, scalability and overall performance to guarantee optimal user experiences.

Functional and Use Case Validation: Confirm that GenAI systems fulfill business objectives and deliver actionable and reliable outputs for intended use cases.

Additional QA Services

Automated Testing: Our robust automated testing services reduce development costs by identifying and fixing issues early, reduce manual testing time and effort, accelerate release cycles and enhance team efficiency, accuracy and consistency to ensure higher software quality and reliability.

AWS Device Farm: We leverage AWS device farm to test mobile and web applications on real devices hosted in the AWS cloud

AWS CodeBuild: Used to automate code build and e2e tests execution.

AWS CodePipelines: Helps us orchestrate & run our automated tests as part of CI/CD pipelines.

AWS Glue: Used in data validation, detecting anomalies, ensuring data consistency and validating transformations across large datasets.

Manual Testing: Manual testing identifies and addresses intuitive edge-case issues early, crucial for customers that want to receive immediate feedback, catch user-experience issues that go outside of the automated framework and identify system limitations on time.

Performance Testing: Guarantee speed, scalability and stability of your application under various conditions by identifying potential bottlenecks; significantly improve end-user satisfaction by delivering a high-quality responsive experience.

User Acceptance Testing: Confirm that your app meets user requirements and business needs by validating functionality before release. Minimize the risk of defects reaching production and boost stakeholder confidence by ensuring the system works as expected.

Sanity, Smoke and Regression Testing:** Develop comprehensive test cases for functional, visual and non-functional aspects of your software. These tests ensure that recent code changes work correctly (sanity), basic functionalities of the application are operational (smoke) and existing functionalities remain unaffected by new changes (regression).

Compatibility Testing: Rigorous testing post-merge, including edge cases detection and escalation for substantial changes, guarantees bug-free application across different devices, browsers and platforms.