Self-learning automation
The AutoRunner agent learns your product while it tests it. Point at a gap and say "cover this", and it stays covered in every run after.

The AutoRunner agent learns your product while it tests it. Point at a gap and say "cover this", and it stays covered in every run after.
One score for your test cases against your requirements, one for what your automation actually reaches on screen. No documentation? The second score still works.
A single scenario that moves from web to tablet to Apple Watch, tested in one run.
Business Agents question every demand before development begins, so untestable work never reaches the backlog.
Agents propose, your people approve, and every approval is on the record.
Software development has changed. AI has shortened cycles from weeks to days, while quality-assurance processes have remained the same. As code accelerates, ambiguous requirements, escaped defects, and production incidents become more costly.
RabbitQA was designed to close this gap. It combines AI-powered test automation, test management, and quality governance on one platform. From requirements analysis and test-case generation to regression testing, API testing, and production monitoring, every step of quality is carried out by coordinated AI agents while every decision remains with your team. Quality is not a phase; it is an end-to-end process managed from requirement to production.
Increased Productivity
50% Cost SavingFewer Human-Related Errors
40% Defect ReductionFaster to Market
65% Faster QA CycleRabbitQA brings three coordinated agent groups onto one platform, each aligned with a team in your organization.

Agent groups manage the quality process. Platform modules extend that process across channels.
Remote access to real iOS and Android devices for web, native and hybrid apps. Scan QR codes with the device camera, simulate GPS locations, shake the handset and run accessibility checks on the device itself, with more than 150 devices on demand.
Explore MobileHub
Every stage of quality, from the first requirement to production health, is managed from one place. RabbitQA prevents defects before they reach production, shortens releases, protects the automation investment you have already made, and keeps quality reportable at any moment with audit-ready evidence.
Quality starts at the backlog gate, before a line of code is written. Requirements are analyzed for gaps, ambiguity and contradictions. Testable PBIs with acceptance criteria are generated automatically, and only validated work enters the backlog. Defects are prevented where they cost least, not where they cost most.
Test cases are generated from validated requirements, ready-to-run suites from API definitions such as OpenAPI/Swagger and Postman, and GDPR-compliant synthetic test data without ever touching production records. Each set is scored for how much of the requirement it covers, and when the code changes, the tests that change needs are generated too. Your team reviews and approves rather than writes.
Tests run in parallel and in coordination on the frameworks you already use. Runs are triggered from your Jenkins, GitLab CI, Azure DevOps and GitHub pipelines, and results come back as a release gate. While it runs, the AutoRunner agent learns your product and shows which parts of the screen your automation never reaches. There is no migration project and no rewrite: RabbitQA adds orchestration and governance on top of your existing stack.
The full picture, from release readiness to production health, sits in a single live view. Every action is logged with the user, the timestamp and the change. Audit evidence is not assembled after the fact; it accumulates as the work happens.
Your customers move between devices, and RabbitQA tests the way they move. A single scenario runs from web to tablet to Apple Watch in one run, with real iOS and Android devices, cross-browser testing and accessibility audits under one evidence model. As coverage grows, the platform grows with it; your tool count does not.
RabbitQA connects to your own AI account: OpenAI, Azure OpenAI, AWS Bedrock, Gemini or Anthropic. You can also run entirely on-premise with local models, so no prompt ever leaves your infrastructure. Work performed with your own model does not consume platform capacity, and your AI costs stay under the provider agreement you already negotiated. The model changes; the platform does not.
Your existing tests keep running exactly as they are. RabbitQA adds orchestration and governance on top, works bidirectionally with your Jira and Azure DevOps boards, and connects to your enterprise identity infrastructure through SSO.
Where we run your tests
Where results enter your workflow and system-specific automations run

Proven results in the field


RabbitQA has completed a SOC 2 Type II audit and operates under ISO/IEC 27001:2022 and ISO 9001:2015.
RabbitQA is a multi-agentic AI platform for digital product quality, developed by Virgosol. Specialized AI agents cover the quality lifecycle from the first business requirement through test design and execution to production monitoring, and every critical decision stays with your team.
In agentic AI testing, AI agents carry out quality work themselves: they read requirements, write and run test suites, and report results. In RabbitQA, people review and approve what the agents produce, and every approval is recorded.
RabbitQA starts at the business requirement and stays through production. Its automation learns the product as it runs, it measures coverage twice (against requirements and on screen), it tests journeys across web, tablet and wearables in one run, and every critical decision stays with your team.
RabbitQA includes three coordinated agent groups. Business Agents (SmartRequest, Analyzer, SmartPBI) govern requirements. Planning Agents (CaseWriter, TestPilot, DataCrate) design test cases, plans and data. Technical Agents (AutoRunner, SmartAPI, Healthcheck) run automation, validate APIs and monitor production.
RabbitQA modules include MobileHub for real iOS and Android devices, BrowserHub for cross-browser testing and Accessibility for WCAG 2.2 testing, added as you need them. Reporter is included in every package.
No. RabbitQA works alongside the frameworks you already use. It orchestrates your existing tests and adds governance on top, so no migration project is needed.
RabbitQA runs Selenium, Playwright, Appium, Cucumber, Gauge, Robot Framework, JUnit 5, TestNG, xUnit.net and Postman projects. Runs can be triggered from Jenkins, GitLab CI, Azure DevOps and GitHub, and results can act as quality gates in your pipeline.
RabbitQA is designed for enterprises where quality spans several teams, especially in regulated industries such as banking, insurance, aviation, retail and telecom that need audit-ready evidence for requirements such as DORA and GDPR.

See RabbitQA running against your own scenarios in a 30-minute session. Fill in the form and our team will review your current test setup, release cycle and priority risks with you.