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OwlityAI

OwlityAI scans web applications, generates and prioritizes test scenarios, creates and maintains automated scripts, runs tests in parallel, and reports defects.

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Product overview

What is OwlityAI?

OwlityAI is an autonomous quality-assurance platform for web applications. A team provides an application URL, and the service scans the interface, identifies features and objects, generates test scenarios, assigns priorities, creates automation scripts, and runs tests in cloud threads. It is designed to reduce the manual work of creating and maintaining regression coverage.

The platform updates tests when it detects UI changes, identifies flaky tests, reruns them, stores test artifacts, and can report defects through project-management integrations. Despite the product's automation positioning, teams remain responsible for test strategy, security scope, accessibility, non-browser systems, risk acceptance, and release decisions.

How to Use OwlityAI

  1. Create a project and enter the URL of the web application to test.
  2. Provide safe test credentials and a non-production environment when the workflow changes data.
  3. Let OwlityAI scan the application and generate prioritized scenarios.
  4. Review the proposed coverage, then run generated tests in the cloud.
  5. Triage reported defects, confirm important failures manually, and rerun after application changes.

Core Features

  • Autonomous scanning: Uses computer vision to identify application objects and features.
  • Scenario generation and prioritization: Creates test cases and labels their relative priority.
  • Script creation: Converts generated scenarios into automated tests.
  • Test maintenance: Updates tests when the application's interface changes.
  • Parallel cloud execution: Runs automation in multiple threads to reduce test time.
  • Bug reporting and storage: Stores results, detects flaky tests, and exports or reports defects.

Use Cases

  • Regression testing: Recheck critical web journeys after frequent product changes.
  • Small-team QA: Add automated browser coverage when a startup has limited dedicated QA capacity.
  • Release validation: Run a repeatable suite before deploying a new web build.
  • Audit evidence: Higher plans provide reporting capabilities that can support quality records, subject to the organization's own compliance review.

Pricing

The Free plan costs $0 for one user and one project and can scan an application and generate up to 10 test cases. Core is $299 per month for one user, one project, and 300 credits, adding test scripts, maintenance, storage, parallel execution, and bug export. Pro is $799 per month with 800 credits, up to three projects and 10 users, plus broader reporting and export features. Enterprise pricing is tailored and adds services such as QA consulting, performance testing, security testing, and enterprise controls.

Frequently Asked Questions

Does OwlityAI test applications without any setup?

The workflow begins with an application URL, but teams still need to provide access, safe test data, environment boundaries, and expected behavior for meaningful coverage.

Does it maintain tests after UI changes?

Yes. OwlityAI states that it rescans interface changes and updates affected test cases and scripts.

Can autonomous QA replace every testing activity?

No. Browser automation does not eliminate the need for product risk analysis, exploratory testing, security review, performance validation, accessibility work, and accountable release decisions.

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