Qatalyst

AI-powered Quality Engineering accelerator for end-to-end software testing

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AI coding agents are only as good as the enterprise context they understand. They need a unified quality engineering workflow that connects requirements, enterprise knowledge, automation, execution, and reporting.

Qatalyst is Nagarro's AI-powered quality engineering accelerator that enhances AI coding agents with enterprise intelligence, project-specific context, and intelligent automation. It unifies the complete testing lifecycle across requirements, test engineering, execution, optimization, reporting, and modernization.

Why Qatalyst?

Enhances existing AI coding agents instead of replacing them

Accelerates software delivery without compromising quality

Reduces manual effort across the testing lifecycle

Modernizes legacy automation assets efficiently

Improves consistency through project-specific AI customization

Integrate securely into enterprise ecosystems with MCP and RAG

How Qatalyst accelerates quality engineering

Intelligent requirement & context ingestion AI-assisted test engineering Smart test optimization Documentation modernization Automation modernization & migration

Connect requirements, repositories, enterprise documentation, and historical test assets through MCP integrations and Retrieval-Augmented Generation (RAG).
Gives AI coding agents accurate project context, improving the relevance and quality of generated outputs.

Generates manual test cases, automation scripts, API tests, and reusable automation components using your preferred AI coding agents.
Ensures outputs align with project frameworks, coding standards, and engineering practices.

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Optimize test execution through intelligent test selection based on code changes, requirements, and business impact.
Improve automation resilience with AI-powered failure analysis, self-healing recommendations, and Vision AI-based validation.

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Generate functional documentation, user journeys, and test cases directly from application source code when documentation is missing.
Accelerate application modernization and transformation initiatives with AI-generated documentation.

Accelerate migration across automation tools and frameworks while preserving business logic, reusable components, and testing standards.
Reduce migration effort and speed up delivery for legacy modernization and new framework adoption.

Success stories

Global risk management player

AI accelerated test script authoring by 35%

Leveraged AI-powered sub-agents, MCP integration, reusable skills, and automation hooks to generate test scenarios, author test scripts, and accelerate review. The solution combined an understanding of requirements with framework-aware script generation to reduce repetitive engineering work while maintaining coding standards.

U.S.-based consulting firm

30% improvement in test execution efficiency

Implemented an AI-augmented testing workflow using specialized sub-agents, MCP, reusable skills, and framework hooks to generate and maintain automated tests. AI-assisted generation increased coverage while reducing manual testing effort across applications.

Multinational logistics company

Accelerated API test migration at scale in just 20 minutes

Utilized AI to analyze existing Rest Assured test scripts, understand API flows and assertions, and automatically transform them into Playwright-based API tests while preserving business logic and validations.

Global gaming company

Single Vision AI script validated 1,000+ slot games

Used Vision AI to create a single intelligent validation flow capable of visually verifying game loading, detecting UI readiness, performing spin actions, and confirming the core gameplay flow across multiple slot games without game-specific scripts.

Multinational railway company

Generating test cases from source code at scale

AI generated comprehensive functional test cases from the source code repository and transformed them into executable automation scripts, enabling rapid validation of business functionality throughout the application transformation.

The technology behind Qatalyst

Works with your preferred AI coding agents

Integrates with leading AI coding assistants and LLMs.
Remains agnostic to AI coding agents and models.
Maximizes existing AI investments and avoids vendor lock-in.

Framework agnostic

Generate and maintain automation across UI, API, mobile, responsive, and integration testing.
Support the frameworks best suited to each project
Modernize and migrate existing automation frameworks with minimal disruption.

Enterprise knowledge through RAG

Ground AI-generated outputs using Retrieval-Augmented Generation (RAG).
Leverage enterprise documentation, historical test assets, coding standards, and project knowledge.
Generate context-aware test assets and documentation with greater accuracy and relevance.

Secure MCP integrations

Connect AI coding agents to enterprise systems through Model Context Protocol (MCP).
Integrate with repositories, test management platforms, ALM tools, CI/CD pipelines, and knowledge sources.
Enable secure, governed access to enterprise data and engineering context.

Tailored to your organization

Align outputs with your coding standards, engineering practices, and quality processes.
Optimize regression execution through intelligent test selection and prioritization.
Deliver AI-driven quality insights, failure analysis, and recommendations tailored to your environment.
Support modern UI validation through Vision AI and advanced quality intelligence