AI-powered digital assurance and automated testing services
Your partner for software quality journey
Digital Assurance Services
Enterprise testing and digital assurance
AI driven QA platform
Harness generative and predictive AI to drive intelligent automation across your application testing lifecycle – from strategies and cases to synthetic test data and scripts. Accelerate value creation while fostering a business-focused quality engineering mindset.




Software Assurance
Software Validation
Software validation focuses on confirming that the software meets the needs and expectations of the end user, that is, that it performs the functions for which it was designed accurately and completely. It involves ensuring that the software satisfies the functional and non-functional requirements specified during the planning and design phase of the project.
Software validation activities include:
Functional Testing: Comprehensive testing is performed to verify that the software performs its functions in accordance with the specified requirements. This includes functionality, usability and performance testing.
Requirements Validation: The software requirements are verified to be clear, complete, and aligned with user needs.
Regulatory Compliance Validation: Ensures that the software complies with the standards and regulations applicable to your industry, such as ISO, IEC, CENELEC, FDA, EMA, HIPAA, PCI DSS, among others.
Documentation Validation: Software documentation, such as user manuals and technical documentation, is verified to be accurate and up-to-date.
Software Verification
Software verification focuses on reviewing and evaluating software code, architecture, and documentation to identify errors, inconsistencies, or non-compliance with programming standards.
This process focuses on the software development phase and is carried out before validation. Software verification activities include:
Code Review: Developers and testers review source code to ensure that it meets programming guidelines, is readable, and follows best practices.
Unit Testing: Tests are performed at the level of individual modules or units of code to identify errors in specific functions or components.
Integration Testing: How different modules or components interact with each other is evaluated to ensure proper integration.
Static Analysis: Static analysis software is used to look for potential problems in the code without running the program.
Design Verification: The architecture and design of the software is reviewed to ensure that it meets the requirements and is well structured.
The combination of software validation and verification is essential to ensure that a software product is robust, functions correctly, and is secure before implementation or release. These processes help to reduce the costs and risks associated with software problems in production environments and maintain end-user satisfaction.
Product Assurance
Our ‘assurance-in-a-box’ solution combines domain expertise, minimal-touch automation, behavioral-driven testing approaches, and AI-powered intelligence.
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Technologies
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Industries
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IT & ITS
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