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KaneAI – The GenAI-Native Agent for AI-Driven Testing

Plan, author and evolve end to end tests using natural language

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Unified Testing

All-in-One flow testing

Plan, author, and evolve end-to-end tests. Test every layer - Databases, API, Accessibility, & more.

Test Case Scenario Generation

Enter text, JIRA tickets, PRDs, PDFs, images, audio, videos, spreadsheets, to create structured test cases.

Perfect Pixel

Smarter API Testing

Validate APIs alongside UI flows in one seamless strategy. No silos, no gaps, just full coverage!

Real-Time Network Checks

Check network responses, status, and payloads for reliable flows

Network

Pixel-Perfect Validation

KaneAI compares screens, flags differences, and keeps your UI flawless

Author Using Natural Language

Skip the technical complexity - no coding, no headaches.

Accessibility

Database-Ready Tests

Plug into your databases and unleash AI-Driven Testing with KaneAI, generating tests from real queries.

Accessibility Built-In

Deliver inclusive experiences without slowing down your release cycle.

Accessibility
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Manual interaction

KaneAI records every interaction in real time and converts them into reusable test steps.

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Plan approval

Ensure AI-created test plans match your intent. Approve them with confidence before they go live.

Human in the loop

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Custom environments

Choose exactly where your tests run- on local builds, in target regions, or across geographies.

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Step-level control

Control every step’s execution by deciding whether its failure should stop, continue, or be skipped in a run.

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Intelligent & modular

KaneAI builds resilient tests with smart components that adapt to your stack, environments, and real-world conditions.

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No Code, just intent

Share your requirements in natural language and let KaneAI generate detailed, structured test cases automatically.

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Smarter test inputs

Use high-level objectives to generate variables, parameters, and secrets. No manual setup required.

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Test across environments

Customize tests for every environment, adapting seamlessly from dev to production.

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Auto popup dismissal

KaneAI automatically detects and dismisses popups so your test flows continue uninterrupted.

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Reusable modules

Build once, reuse everywhere. KaneAI creates modular test blocks that stay resilient across projects.

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Dynamic test data generation

Let KaneAI generate test data for you during the authoring flow automatically.

Integrations

Seamless Integration

Bring KaneAI into your team’s workflow and run AI-Driven Testing from authoring to execution without extra effort.

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Native test case creation

Build and assign test cases directly in Jira or Azure Devops through the LambdaTest app, keeping everything in one workflow.

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Smart bug detection

KaneAI identifies failures lets you raise tickets directly in Jira or Azure Devops, ready to assign to your team.

Automated test runs

Easy execution

Run your tests across multiple environments, devices, and schedules — without extra setup.

Test runs on Hyperexecute

Run generated tests across 3000+ combinations of browsers, OS and real devices

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Flexible scheduling

Automate your test runs with one-click scheduling. Run them on demand or at fixed intervals

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Detailed analysis

Audit and analyse your test performance across multiple projects by generating detailed reports

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Built for enterprise

KaneAI is enterprise-ready from day one. With SSO, RBAC, Audit logs, and Compliance Controls, it meets the toughest organizational standards. Manage teams with confidence, integrate with the tools you already use, and rely on SLA-backed performance and enterprise-grade security.

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Frequently asked questions

Which AI testing tool is best?
KaneAI is a leading AI testing tool that helps generate, maintain, and analyze tests automatically for web and mobile applications, reducing manual effort.
What does AI-driven mean?
AI-driven means using artificial intelligence to guide, automate, or optimize processes, making decisions and predictions based on data patterns.
How to use AI as a QA tester?
As a QA tester, you can use AI to auto-generate test cases, detect flaky tests, perform visual testing, and gain intelligent insights to improve test coverage.
What is AI-driven attribution testing?
AI-driven attribution testing uses AI to analyze and assign credit to various user touchpoints, identifying which actions or channels drive desired outcomes.