AI for accessibility
Evinced is an AI-powered digital accessibility testing platform that helps enterprise development and QA teams find, cluster, and remediate accessibility defects across web and mobile applications at scale. Unlike rule-based scanners that flag syntax-level issues, Evinced uses computer vision and machine learning to analyze each screen the way a sighted user would, surfacing whole categories of critical accessibility failures — including contrast, focus, and interactive element issues — that traditional tools miss. The platform integrates into existing CI/CD pipelines via Selenium, Cypress, WebdriverIO, Appium, XCUITest, and Espresso, and includes tools for site scanning, flow analysis, design review, and an MCP-based developer debugger. Customers including Amazon, Hyundai, Verizon, Capital One, and Progressive use Evinced to maintain WCAG compliance across products with thousands of weekly changes. Evinced is a W3C member and headquartered in San Francisco with R&D in Israel.
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