AI/ML Testing Service Offerings


The AI and ML-powered approach to Software testing can allow QA teams to overcome some of the key challenges of traditional testing.


Some of the key challengers are :

  1. Identifying the key business use cases for AI-based testing
  2. Lack of awareness about AI driven testing approach.
  3. Integration with existing applications

DevQAExpert AI/ML capabilities will help our clients build more efficient continuous frameworks for quality delivery. However, there are plenty of software testing-related challenges that businesses may come across while trying to leverage AI for testing apps for quality.

Utilizing DevQAExpert expertise in intelligent test and automation services helps clients release products time-to-market by reducing the overall testing lifecycle time reducing business risk and improving product quality and operational efficiency.

DevQAExpert AI/ML testing COE will follow a disciplined structured approach that internally helps our clients identify defects during the early stages of the SDLC Lifecycle optimize testing and predict failure points, thus reducing the overall testing engagement cost and achieving high customer satisfaction.

A few of the test automation tools we use for automation are

  2. Appvance
  4. Functionize
  5. Eggplant AI
  6. mabl
  7. retest
  8. TestCraft
  9. Testrigor