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Spur

Spur provides Agentic QA services using AI agents that simulate thousands of shoppers to catch software bugs before customer encounters. These vision-first agents navigate the browser based on user flows rather than brittle code selectors, ensuring highly reliable end-to-end testing. The platform enables non-technical users to write tests using natural language, significantly accelerating release cycles and improving production quality.

San Francisco, United StatesFounded 2023112K+ followers
Updated 20 months ago

Funding

$500K raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.

Funding rounds are not available yet.

Founders

Product

Problem

Traditional end-to-end testing of web applications requires significant manual effort or complex, brittle test automation frameworks that are difficult to maintain. Existing solutions often rely on CSS selectors or XPath, leading to test failures when the UI changes, resulting in wasted time and resources for QA and development teams.

Solution

Spur provides a no-code, AI-powered testing platform that enables users to create and execute automated end-to-end tests for web applications using natural language. The platform's AI agents simulate real user behavior, navigating the browser and interacting with elements on the page without relying on underlying code identifiers. This vision-first approach allows tests to automatically adapt to UI changes, reducing flakiness and maintenance overhead. Spur offers features such as video replays of test runs, detailed analysis of each step, and integrations with CI/CD pipelines, enabling teams to improve software quality and accelerate release cycles.

Target Audience

Spur is designed for QA managers, product managers, and engineers who want to automate end-to-end testing, reduce manual effort, and improve the reliability of their web applications.

Features

  • Natural language test creation, allowing users to describe test scenarios in plain English
  • AI-powered agents that simulate user interactions within the browser
  • Vision-first testing approach that eliminates reliance on CSS selectors or XPath
  • Automatic adaptation to UI changes, reducing test maintenance
  • Video replays of test runs with detailed step-by-step analysis
  • Powerful validations based on logical statements or visual conditions
  • Secure testing environment that does not require access to the codebase
  • Integration with CI/CD pipelines for automated testing as part of the development process
  • Support for testing dynamic forms, cross-language localization, AI features, and checkout flows
This profile is AI-generated and may contain inaccuracies.