Dvanta Innovation Labs
Software Quality Assurance & Testing Technology • Agentic AI Innovation for Autonomous QA Testing
Project Overview
An enterprise R&D product from Dvanta Innovation Labs delivering autonomous, Agentic AI-powered QA testing to modern web platforms. DvantaQA360 is packaged as a version-controlled, multi-container Docker platform with coordinated QA Engine and Frontend components, guided OS-specific installers for Linux and Windows, headless browser execution, and fail-safe image verification.
DvantaQA360 Platform And Customer Installers
Packaged with fail-safe Linux And Windows Docker installers. Single DQV_VERSION=1.0.1 configuration, dedicated internal bridge network, and headless browser execution out of the box.
The Problems
Enterprise customers use different operating systems (Linux & Windows) and require repeatable, foolproof deployments. Two distinct Docker images must always coordinate with identical release tags without requiring customers to manually manage Docker networking, port mapping, image names, or environment variables. Crucially, missing image tags must fail cleanly rather than creating a partial or broken installation.
- Complex multi-container Docker networking and port mapping for end customers
- Dual Docker images (QA Engine & Frontend) requiring synchronized version tags
- Headless browser execution challenges across diverse customer OS environments
- Partial deployments and broken states when Docker images are missing or misconfigured
- High dependency on manually written test scripts and fragile CSS selectors
- Repetitive regression cycles and slow time-to-market for enterprise releases
- Manual responsive, visual, and cross-device validation overhead
- Delayed defect detection and difficult root-cause investigation
Our Solution
DvantaQA360 solves customer deployment through OS-specific guided packages for Linux and Windows. Customers set a single configuration variable—DQV_VERSION—in config/.env. The installer automatically verifies Docker availability, conducts pre-flight manifest checks on both Docker Hub images, constructs an isolated dvantaqa360 bridge network, launches the QA Engine with HEADLESS=true on internal port 7070, and binds the Frontend to host port 3500. A dedicated removal script removes product artifacts while keeping customer Docker installations intact.
Our Design And 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
