Spur
Spur provides an AI-agent-based validation infrastructure that automates testing across web, native mobile, and localized surfaces. The platform runs hundreds of tests in parallel—on pull requests before merge, on full releases before launch, and continuously in production—using agents that dynamically explore unpredictable user paths and adapt to real-world site conditions. Spur's agents generate new test paths every run, catching issues that scripted tests miss, and flag only relevant diffs or regressions for human review.
- Developer Tools
- AI Agents
- Artificial Intelligence
- Software Only
Funding
Founders
Founder details are not available yet.
Product
Problem
Traditional QA relies on manual testing or brittle automation scripts that cannot keep pace with frequent releases, local variations, and unexpected user paths. This creates release bottlenecks, scattered ownership, and production defects that often reach customers before they are detected.
Solution
Spur provides an AI-agent-based validation infrastructure that automates testing across web, native mobile, and localized surfaces. The platform runs hundreds of tests in parallel—on pull requests before merge, on full releases before launch, and continuously in production—using agents that dynamically explore unpredictable user paths and adapt to real-world site conditions like pop-up banners, cookies, promotions, and out-of-stock items. Spur's agents generate new test paths every run, catch issues that scripted tests miss, and flag only relevant diffs or regressions for human review. The result is full regression coverage completed in minutes rather than overnight, with validation results delivered automatically to engineering and QA teams.
Target Audience
Primary customers are e-commerce, retail, fintech, and health technology companies with web and native mobile products that need scalable QA infrastructure, including engineering, QA, and site merchandising teams at organizations like Abercrombie & Fitch, Bombas, Vuori, Living Spaces, and OneSafe.
Features
- AI agents for exploratory, localization, UI/UX, functional, and AI feature testing with core agent objectives and continuous path expansion
- Parallel test execution across web and native mobile apps at scale, with 100s of tests run simultaneously
- Dynamic adaptation to pop-ups, cookie banners, promotions, and dynamic inventory states for reliable test execution
- Pre-merge validation that runs on every pull request, blocks merges on failure, and flags only the diff rather than the entire site
- Pre-release full regression across all surfaces and locales in parallel, completing in minutes
- Launch-day validation of critical customer journeys against the live release, plus always-on production monitoring from multiple regions
- Localization agent that detects mixed-language UI elements, validates currency/date/number/address formats, and surfaces cultural inconsistencies
- Ability to build pre- and post-launch suites from a single CSV of product URLs, enabling site-merchandising QA at scale
- Real device labs with Spur-owned racks of iPhones, iPads, and Android devices across testing regions
- SOC-2 Type II compliant with isolated sessions and encrypted connections