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End-to-End Agentic AI Platform for Software Quality

Quality assurance for your digital investments.

Today, the most critical processes—from financial transactions and flight operations to customer data protection and regulatory compliance—run on software. A single critical failure in these systems can lead to operational outages, regulatory violations, and losses worth millions.

Software failures cost the enterprise market an estimated $61 billion annually. At the same time, ROI projections often deviate by ±30–50%, making it increasingly difficult to measure the true value of digital investments.

Despite this reality, software quality in most organizations is still addressed after code is written. Risks are discovered close to release, and testing decisions are often driven by intuition rather than data. In a world of accelerating software delivery, this approach is no longer sustainable.

RabbitQA transforms quality from a reactive control function into a measurable, predictable, and autonomous trust system.

It is an end-to-end Agentic AI–powered Product Quality Platform that predicts risk in advance, prioritizes critical flows, and prevents failures before they reach production.

WHY RABBITQA?

Software failures are not random. They are typically the result of incomplete requirements, late risk visibility, and quality decisions made too late in the lifecycle. As development speed increases, systems are released earlier—yet quality is still managed after implementation. This leads to production risk, regulatory exposure, and high operational costs.

RabbitQA addresses the root cause of this problem: late quality decisions.

The objective is to manage quality before code, surface risk before release, and turn digital trust into a measurable, manageable, and sustainable capability.

This approach is not theoretical. Organizations using RabbitQA have achieved:

·     60–70% reduction in test design effort

·     Up to 70% faster regression cycles

·     Up to 80% shorter release timelines

·     90%+ functional coverage

·     Near-zero critical production defects

As a result, quality shifts from a reactive control activity to a predictable capability confidently managed by leadership.

RabbitQA is designed to make digital trust predictable.

SOFTWARE QUALITY CYCLE WITH DEEP TESTING & AGENTIC AI

Traditional testing focuses on a single question: Does the system work?

This is insufficient for complex, regulation-critical digital systems.

RabbitQA addresses a more meaningful question:

Where, when, and under which conditions can this system fail?

This perspective transforms testing from simple verification into risk and decision management.

RabbitQA manages quality across the entire software development lifecycle.

At its core is Deep Testing, which goes beyond happy paths. It autonomously explores edge cases, negative flows, complex combinations, and regulation-critical journeys using AI. The key differentiator is not just scenario generation—but deciding which scenarios are riskier and must be executed first.

This is enabled by RabbitQA’s closed-loop Agentic AI system:

·     Understands Context

Requirements, user stories, change requests, and historical test data are analyzed contextually.

·     Generates Risk Scenarios

Thousands of realistic, risk-driven scenarios are created using AI.

·     Prioritizes and Executes

Tests are orchestrated based on business impact and risk—not randomly.

·     Learns Continuously

Every execution and production signal improves future decisions.

Through this loop, testing evolves from a volume-driven activity into a continuously learning, decision-driven quality mechanism.

QUALITY STARTS BEFORE CODE

Quality does not begin at the testing phase—it starts at request and analysis.

·     Smart Request matures unclear demands through AI-driven questions and ensures only execution-ready requests enter the backlog.

·     Analyzer surfaces ambiguity, inconsistencies, and risk in requirements before development begins.

·     Smart PBI converts these insights into test-ready backlog items with clearly defined acceptance criteria.

Result: Less rework, clearer planning, and higher delivery confidence.

TEST DESIGN WITH AGENTIC AI

Manual test case design does not scale.

CaseWriter autonomously generates high-coverage test cases—including negative and edge scenarios—directly from requirements.

Test design becomes faster, standardized, and institutionalized.

INTELLIGENT TEST EXECUTION

Test execution must be as intelligent as test design.

·     Test Pilot orchestrates manual and automated tests from a single control center with risk-based prioritization.

·     Devicer enables scalable mobile testing across real and virtual devices, with remote access that feels local.

Hardware dependency and testing bottlenecks are eliminated.

CONTINUOUS COMPLIANCE & ACCESSIBILITY

Accessibility and regulatory compliance are not final checkpoints.

Accessibility continuously validates WCAG and related regulations—including authenticated and role-based flows—through automated testing.

Compliance becomes a natural part of the lifecycle.

ONE INTELLIGENCE. ONE PLATFORM.

All RabbitQA modules operate on a single AI engine and a shared quality memory.

Every execution, finding, and feedback loop strengthens the system over time.

RabbitQA is not static software—it is a learning quality intelligence.