Autonomous QA

Speed up your commerce development

AI-powered testing that automates your quality checks and deployments

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AI software testing for commerceAI software testing for commerce

Join 2,300+ brands growing their business with us

AI agents that automate testing & delivery

Reliable software doesn't have to be slow. Let AI handle the heavy lifting

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Storefront testing

Validate websites and apps for a smooth buying experience

Storefront testing

40% of development time is lost on debugging & manual test maintenance

See how AI changes this

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Smart API testing

AI-powered functional & end-to-end API tests

Seamless accessibility audits

Automated digital accessibility assessments

Effortless test automation

Eliminates repetitive UI & API testing

Full regression automation

Zero manual regression testing-full automation

AI-powered debugging

AI-driven debugging speeds up issue resolution

Your AI testing team, built for speed & accuracy

See how AI changes this

Orchestration automation

  • AI agents manage test execution across multiple workflows, ensuring seamless coordination
  • Task chaining links test creation, execution, and result analysis, allowing for an autonomous and efficient testing process
  • AI handles testing, debugging, and reporting end-to-end, minimizing manual intervention
Orchestration automation

How AI agents transform testing & deployment

Faster go-live

AI-driven testing reduces development cycles and speeds up releases

High-performing storefronts

AI predicts performance issues before launch

Reduce customer drop-offs

AI continuously optimizes speed and loading times

Intelligent case generation

AI automatically generates test cases from artifacts like API specs

Ensures brand consistency

Validates UI against branding guidelines

Validates critical commerce workflows

Covers search, add-to-cart, checkout, and order placement

Fault-tolerant API monitoring

Ensures smooth operation of payments, inventory updates, and fulfillment processes

How AI agents transform testing and deployment

You'll love the speed & simplicity of AI-powered testing

Without

Without Ratl.ai

  • Manual setup and script generation delay testing
  • New features break existing functionalities
  • Unverified code leads to deployment failures
  • New code introduces security vulnerabilities
  • New features impact system performance under load
Without Ratl.ai
With

With Ratl.ai

  • Generates the code and sets up the infrastructure for automated tests
  • Runs comprehensive tests to ensure stability
  • Automates the build process, ensuring only tested code is promoted
  • Conducts thorough security analysis and compliance checks
  • Runs load and performance tests to evaluate impact
With Ratl.ai

Enterprise-grade security for every developer

Here's how AI agents fix that

No data retention

Your proprietary code and tests are never stored, shared, or used for AI training

Secure AI development

Ensures compliance with SOC 2, GDPR, and enterprise security standards

Reliable & scalable

Built for fast, scalable, and secure testing environments

Frequently asked questions

An AI software testing tool uses artificial intelligence to create, execute and analyse software tests. It can identify bugs, generate test cases, automate repetitive checks and recommend fixes. Ratl.ai helps teams test websites, applications and APIs without writing and maintaining every test script manually.

AI testing agents can study requirements and technical documents, generate relevant test cases, run them across different workflows and analyse the results. Ratl.ai connects test creation, execution, debugging and reporting, allowing development teams to automate more of the quality assurance process from one platform.

Ratl.ai supports user interface testing, API testing, regression testing, load testing, performance monitoring and digital accessibility audits. It can test both individual components and complete user journeys, helping teams identify functional, performance and compliance issues before and after deployment.

Yes. Ratl.ai can test important ecommerce workflows such as product search, add to cart, checkout and order placement. It can also monitor supporting systems such as payments, inventory updates and fulfilment APIs to identify failures that could interrupt the customer journey.

Yes. Ratl.ai can generate test cases from existing development artefacts such as API specifications. It can simulate different conditions and real-world interactions to check whether APIs and applications work reliably. This reduces the time teams spend creating and updating test cases manually.

Ratl.ai states that proprietary code and test data are not stored, shared or used to train AI models. The platform also supports security analysis, compliance checks and testing environments designed around enterprise requirements, including SOC 2 and GDPR standards.

AI summary
Ratl.ai is Fynd's AI-powered software testing platform for commerce teams that automates UI and API testing, accessibility audits, performance and load testing, and regression coverage end-to-end. AI agents handle orchestration, generate test cases from API specs, validate critical commerce workflows like search, add-to-cart and checkout, and monitor payments, inventory, and fulfillment under real-world load. With no data retention, SOC 2 and GDPR compliance, AI-driven debugging, and built-in storefront and digital-accessibility testing, Ratl.ai cuts development cycles, prevents launch regressions, and speeds time to go-live without manual scripting.

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