Deliver High-Quality Applications With Continuous Quality Engineering
Delivering Quality at Scale
Efficient testing and quality assurance (QA) are essential to the success of any software development project. MicroGenesis Quality Engineering and assurance services combined with a modern test automation framework allows enterprises to effectively develop software and to deliver high quality applications with speed and efficiency.
Transform the Quality of Your Applications
Enabling Quality Assurance Driven by Best Practices
Enabling Quality Assurance Driven by Best Practices
MicroGenesis brings strong capabilities in end-to-end testing of core business applications across industries, with Quality Assurance across the application lifecycle. Our Quality Engineering services are designed to align with your business needs to improve quality of their applications and accelerate release to market.
Time and Cost Saving
Time and Cost Saving
Reduce time to market and increase productivity through automation.
Improved Processes
Improved Processes
Strong processes help add business value and increase quality.
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Application Quality Assurance
Build and deploy error-free applications and software products with our fully integrated and Intelligent automation powered Quality Assurance services
Test Automation
Our Testing Automation Platform (TAP) delivers test automation accelerators for DevOps and configurable solutions for Test Driven Development (TDD) and Behavior Driven Development (BDD).
Testing as a service (TAAS)
Our Testing-as-a-Service (TaaS) operating model enables you to optimize test releases more efficiently. The pay-per-usage model gives clients the flexibility to focus on lean resource utilization without cost overruns.
Application Quality Assurance
Our test advisory services deliver a customized, engineering-led Quality assurance plan that best fits any customer’s specific needs.
Artificial Intelligence Powered Testing
Our Test Automation Platform- (TAP), incorporates emerging technology accelerators like AI and machine learning to implement a next-generation testing delivery model.