RabbitQA – Multi-agentic AI Platform for Digital Product Quality.
Agentic AI platform for risk-based software quality and proactive defect detection.
- Category
- AI Apps and Agents
- Registry category
- Operations & Productivity
- Vendor
- Virgosol
- Location
- Not disclosed
- Reviews
- Not rated (0 reviews on the listing)
- Listed on
- Microsoft Marketplace
- Pricing
- 1 plan listed
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What the publisher says
Multi-agentic AI Platform for Digital Product Quality.
RabbitQA is a SaaS-based, multi-agentic AI platform that manages digital product quality across the entire software development lifecycle.
The platform analyzes requirements, generates and prioritizes risk-based test scenarios, orchestrates test execution, and continuously learns from test results and production signals.
Show the rest of the publisher’s description (14 more lines)
RabbitQA applies a Deep Testing approach — focusing not only on whether a digital product works, but on where, when, and under which conditions it may fail. By combining AI-driven analysis, autonomous multi-agent decision-making, and centralized quality orchestration, RabbitQA enables teams to manage digital product quality as a continuous and measurable capability.
RabbitQA is designed for:
- QA and Test Engineering teams
- Software Development and DevOps teams
- Product and Platform Owners
- Compliance, Risk, and Governance teams
- Enterprises managing complex, business-critical digital productsThe platform includes modules for requirements intelligence, autonomous test design, intelligent test execution, mobile device testing, accessibility and compliance validation, performance testing, monitoring, and reporting — all operating on a unified multi-agent AI engine.
Many organizations manage digital product quality reactively — detecting defects late, relying heavily on manual effort, and making release decisions with limited risk visibility. This often results in production incidents, rework, delayed releases, and increased regulatory and operational risk.
RabbitQA addresses these challenges by:
- Shifting quality decisions earlier in the lifecycle
- Making risk visible and actionable before release
- Reducing dependency on manual and intuition-based testing
- Enabling continuous quality, compliance, and reliability validation
As a result, organizations gain better control over digital product quality, delivery confidence, and operational risk.
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5 imagesPlans and pricing
1 plan listed
Linked repositories
Unknown
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Publisher resources
Sources
- Marketplace listingMicrosoft Marketplace (opens in a new tab)
- Legal linkPrivacy Policy (opens in a new tab)
- Legal linkLicense Terms (opens in a new tab)
- Company recordVendor website company data, matched on rabbitqa.com
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