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Evinced

Evinced provides a software solution that utilizes AI and machine learning to automatically identify, cluster, and track accessibility issues in web and mobile applications, eliminating the need for manual audits. By integrating seamlessly into existing development workflows, it enables teams to prioritize and resolve critical accessibility problems efficiently, reducing audit costs and improving overall compliance.

Los Altos, United StatesFounded 2018942K+ followers
Updated 20 months ago

Funding

$112.5M 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

Identifying and tracking accessibility issues in web and mobile applications typically requires manual audits, which are time-consuming, costly, and often fail to detect all potential problems. Traditional accessibility tools primarily focus on code analysis and may miss critical issues that a human user would perceive.

Solution

Evinced offers an AI-powered software solution that automates the detection, clustering, and tracking of accessibility issues within web and mobile applications. By simulating how a sighted user perceives each screen, Evinced identifies a broader range of accessibility problems compared to traditional code-reading tools. The platform integrates into existing development workflows, enabling teams to prioritize and resolve critical issues efficiently. Evinced also provides continuous lifecycle tracking of accessibility issues, preventing duplicate reporting and providing insights into resolution times.

Target Audience

Evinced is designed for web and mobile application development teams, accessibility specialists, and organizations seeking to improve digital accessibility and ensure compliance with accessibility standards.

Features

  • AI-powered analysis that simulates human visual perception to identify accessibility issues beyond code-level errors
  • Automated clustering and prioritization of issues to streamline remediation efforts
  • Continuous lifecycle tracking of accessibility issues to prevent duplicate reporting
  • Integration with existing automated testing systems (Selenium, Cypress, WebdriverIO, XCUITest, Espresso, Appium)
  • Detailed reporting and analytics to track progress and measure the impact of accessibility improvements
This profile is AI-generated and may contain inaccuracies.