Dvanta Innovation Labs
Software Quality Assurance & Testing Technology • Agentic AI Innovation for Autonomous QA Testing
Project Overview
An R&D initiative from Dvanta Technologies to bring autonomous, Agentic AI-powered QA testing to enterprise websites — capable of exploring, understanding, testing, analyzing, and reporting issues across an entire site without relying on manually maintained test scripts. A team of specialized AI agents works together to discover pages, plan and execute tests, validate content, APIs, and visuals, investigate failures, and generate detailed QA reports.
The Problems
Traditional QA testing requires manually created test cases and repetitive execution. Testing large websites with multiple pages, forms, APIs, workflows, user roles, and responsive layouts is time-consuming, difficult to scale, and prone to human errors. As catalogs and workflows grow, manually maintained test scripts become harder to keep up to date, and defects are often caught too late in the release cycle.
- High dependency on manual testing
- Repetitive regression testing
- Limited test coverage
- Difficulty testing large websites
- Manual content verification
- Manual responsive testing
- Difficult maintenance of automation scripts
- Delayed defect detection
- Difficulty identifying root causes
Our Solution
Dvanta Technologies is building an Agentic AI platform that autonomously explores a website, understands its structure and behavior, generates test cases, executes tests, analyzes failures, investigates root causes, performs re-testing, and generates detailed QA reports — reducing dependency on manually maintained test scripts while increasing coverage and confidence in every release. The platform is self-healing, adapting to minor UI changes using contextual signals such as element text, DOM structure, and accessibility labels instead of relying only on fixed selectors, and it can be integrated into CI/CD pipelines to run automatically after every deployment.
Our Design & Development Process
Application Discovery
The Website Explorer Agent discovers pages, routes, links, forms, and interactive components across the application.
AI Test Case Generation
The Test Planner Agent studies application functionality and generates positive, negative, and boundary test scenarios.
Autonomous Test Execution
The Browser, Content QA, Visual QA, and API QA Agents execute UI workflows, validate content and APIs, and capture screenshots across devices.
Failure Analysis & Root Cause Investigation
The Bug Investigator Agent analyzes failures, console and network errors, reproduces issues, and identifies the probable root cause.
Re-testing & Reporting
The platform re-runs affected tests, and the Report Generator Agent classifies bug severity and produces the final QA report with recommendations.
Desktop Screenshots
QA Dashboard — Live view of test coverage, pass/fail rates, bug severity breakdown, and overall website quality score
Test Execution & Bug Report — Autonomous test run results with AI-identified root cause and recommendations
Mobile View
Mobile View — Track test runs, bug reports, and QA metrics on the go
