Low Code Automated Functional Testing |

Intelligently identifies, generates, and prioritizes test scenarios
Auto-enhance business user stories OR simply test the URL
Self-learning model to improve testing each time you run the test
AI Software Interface

Powering Modern QA for Fast-Launch Teams

%

Direct Savings from automation and reuse

%

Reduced manual testing

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Scenarios executed in hours

Why NAT Studio for Functional Testing Automation

Convert URL or lose JIRA stories into test scenarios

Instantly transform JIRA stories or URLs into executable test scenarios, saving hours of manual effort per sprint.
Eliminate ambiguity between QA and product teams by accurately interpreting and optimizing loosely written natural language user stories.
Test Creation Interface
Cloud Testing

Run tests on links, CTAs, images, or forms

Prevent broken user journeys and lost conversions by continuously testing critical elements like links, CTAs, forms, and abandoned carts.
Accelerate launch cycles by spotting layout issues, visual or functional bugs early in the release cycle.

AI-powered test maintenance at scale with self-healing capability

Automatically adapts to minor UI changes (like updated selectors or element shifts), eliminating the need to constantly rewrite test scripts.
Ensures consistency while reducing the noise in test reports and triaging effort even when running thousands of tests.
AI Maintenance Interface
Test Data Profile

Get Complete Test Visibility with AI-Powered Reporting Dashboards

Align with GxP, 21 CFR Part 11, and Annex 11 requirements through documented testing and detailed coverage reports.
Reduce risks in sensitive data handling processes through consistent testing and reporting of critical paths.

AI Meets the Needs of Your Team

AI Testing

Digital Transformation Leader

Accelerate release velocity across apps and channels while embedding auditability and governance into every sprint

Product Owner

De-risk product launches by validating end-to-end user journeys earlier, faster, and with zero test debt.

Engineering Head

Auto-generate test scenarios from JIRA and commit logs — freeing your team to focus on innovation, not on maintenance.

Head of Quality Assurance

Ensure continuous quality at scale with AI-driven test resilience and compliance-grade coverage.

CASE STUDY
  • 50% Reduction in Manual Testing Effort: AI-powered test generation and self-healing capabilities halved manual testing across global product sites, freeing QA teams to focus on critical compliance validations.
  • 30–40% Cost Savings Through Automation and Reuse: Reusable test assets and autonomous execution enabled efficient validation of frequent updates, leading to significant reduction in resource hours and vendor dependency.
  • Improved Test Coverage and UX Consistency: Achieved higher functional and visual coverage with fewer release defects. Automated UX and accessibility checks ensured pixel-perfect rendering and journey integrity across platforms.
  • 1000+ Sites Supported Across Diverse Tech Stacks: Deployed testing at scale across over 1000 branded and unbranded sites—spanning HTML, React, Veeva, and mobile—without custom scripting or platform limitations.
  • Audit-Ready Compliance Across GxP and Regulatory Requirements: Built-in accessibility and regulatory validation ensured every release met stringent GxP and local compliance standards—supporting audit-readiness without additional overhead.

"The ability to auto-generate test cases from JIRA stories and maintain them with self-healing logic is impressive. It directly addresses the overhead we face in regulated environments."

VP, Quality Engineering, Global Manufacturing Enterprise

Most tools struggle with multi-market testing, but this handled localized content, GxP validation, and accessibility checks without custom scripts. That’s a real differentiator for us.

Director, Digital QA, Fortune 100 Biopharma

"Being able to visualize test coverage gaps across critical user journeys helped align our dev, QA, and compliance teams. It’s now part of our sprint planning process."

Senior Engineering Manager, Enterprise Healthtech Platform

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