HTC’s AI-driven Quality Engineering embeds in Agile & DevOps to accelerate releases and ensure end-to-end quality. With AI-led automation, ready-to-deploy GenAI accelerators for test case and data generation, and TMMi-aligned maturity, we enhance coverage, reliability, and ROI across performance, mobile, and data testing.
Automate intelligent test creation, apply shift-left QA, and use AI-led orchestration with self-healing scripts to deliver faster, scalable testing across CI/CD pipelines in Agile and DevOps models.
Use advanced AI-powered, cloud-based performance testing and chaos engineering to forecast, prevent, and resolve key scalability issues across apps, ensuring speed, resilience, and reliability.
Validate digital applications on real devices across iOS, Android, IoT, and 5G with AI-based UI testing, accessibility checks, and omnichannel automation to ensure consistent mobile experiences.
Create accurate synthetic test data, apply intelligent masking, and virtualize complex environments using AI tools to maintain compliance and speed while enhancing testing integrity and outcomes.
Improve quality engineering maturity with AI accelerators, continuous test automation, and shift-left practices that embed quality early in CI/CD pipelines, boosting speed, ROI, and release quality.
Accelerate end-to-end data validation using AI-enabled ETL and migration testing to ensure accuracy, completeness, and integrity across data pipelines between legacy, cloud, and hybrid systems.
Enable faster digital product releases with in-sprint automation, AI-generated test cases, and DevOps integration, reducing QA time and enabling rapid feedback to launch high-quality applications.
Improve software release quality using shift-left testing, predictive QA models, and continuous quality monitoring to eliminate major defects early and deliver customer-ready digital software.
Ensure reliable user experiences across mobile, web, APIs, and IoT through real-device testing, AI-powered validations, and consistent cross-platform quality assurance to boost trust and usability.
Drive long-term QA transformation using a dedicated QE CoE, AI-driven test optimization, and agile methodologies to enhance maturity, improve adaptability, and support business transformation goals.