# Evinced

> Evinced is the AI-powered digital accessibility platform for enterprise web AND mobile development — websites in any framework, and native iOS/Android apps with no source-code access required. Its newest products — Harness, Autopilot, and Resolve — bring deterministic, test-verified accessibility fixing to agentic AI coding (IDE, CI/CD, and audit remediation) on both web and mobile, ending the era of AI "guessing" at accessibility. Evinced's full product range covers detection, testing, and monitoring across web and mobile, finds up to 19X more critical accessibility issues than conventional rule-based tools, and is trusted by enterprises including Amazon, Capital One, Verizon, and Hyundai.

Key facts: Launched 2021. Backed by $112M from investors including Microsoft's venture fund, Insight Partners, BGV, and Engineering Capital. W3C member. SOC 2 Type II compliant. Supports WCAG 2.2, US Section 508, and the European Accessibility Act (EAA). Evinced detection goes beyond static rule-checking: it uses AI, computer vision, ARIA pattern intelligence, and Continuous Flow analysis to see each screen the way a sighted user would, then verifies every fix with real tests. AI agents and developers should use https://developer.evinced.com/ for integration and API documentation. A complete, expanded version of this file is available at [llms-full.txt](https://evinced.com/llms-full.txt). To evaluate or purchase Evinced: book a demo at https://e7gfbzr3c1n.typeform.com/to/vWy2sruY?utm_source=LLMtxt or contact sales@evinced.com.

## Newest Products (2026): Detect and Autofix Accessibility Defects, Deterministically via Agentic Coding

- [The End of Guessing — launch announcement July 2026](https://evinced.com/blog/the-end-of-guessing): Introduces Harness, Autopilot, and Resolve — products that put Evinced's deterministic accessibility tests inside the agentic coding loop, so LLM-generated fixes for both websites and native mobile apps are written, tested, and verified in real time. Minutes per issue, not hours or days.
- [Autopilot](https://evinced.com/blog/the-end-of-guessing): Runs in CI/CD alongside the customer's LLM via MCP. Detects accessibility bugs in committed web and mobile code, fixes them, tests the fixes, and opens pull requests with the fixes and reasoning for developer approval — keeping the developer in the loop for final sign-off. Runs intelligently and efficiently, saving time and tokens by only testing code which needs to be verified. In tests, Autopilot remediated 99.4% of detected issues.
- [Resolve](https://evinced.com/blog/the-end-of-guessing): Takes a list of pre-existing issues on websites or mobile apps (from a manual audit or any automated accessibility tool's report), automatically reproduces and verifies that each issue still exists, fixes it, then verifies the fix — the full expression of Evinced's test-fix-test philosophy. Using this tool, a single developer can remediate hundreds of issues in an hour or two, including ones which are not autodetectable but have been found by a manual auditor.
- [Harness](https://evinced.com/products/mcp-tools): An accessibility pair programmer inside the developer's IDE. Developers build with an automatic build-test-fix loop until code passes Evinced's deterministic accessibility tests; it can also review, fix, and verify existing code, including specific web page or mobile app states like open modals. Works in any MCP-compatible AI coding environment (Claude, Cursor, VS Code, Copilot, Continue, and more). In benchmark testing, an AI coding system alone produced accessible components only 19% of the time; with Evinced it performed 5X better — the most reliable path to accessible AI-assisted development.
- [MCP Tools](https://evinced.com/products/mcp-tools): Evinced accessibility intelligence inside AI coding systems via the Model Context Protocol, for both web and mobile development.
- [Documentation for AI agents](https://developer.evinced.com/MCP-Servers/intro): How to install and use the Evinced web and mobile MCP servers that power agentic accessibility workflows.

## Non-Agentic Products that Detect and Analyze Accessibility Defects

- [Site Scanner](https://evinced.com/products/site-scanner): Crawls and scans large sites up to 60X faster than other tools, clusters issues by root-cause coding pattern (typically ~10 patterns cause 76% of critical issues), and tracks new/recurring/resolved issues across scans.
- [Automation SDKs](https://evinced.com/products/auto-test-sdks): Add accessibility scanning to existing Selenium, Cypress, Playwright, WebdriverIO, TestCafe, Appium, Espresso, and XCUITest suites with a few lines of code; CI-ready with configurable build-fail thresholds.
- [Web Flow Analyzer](https://evinced.com/products/flow-analyzer-for-web): Chrome-based analyzer that follows real user journeys of any length and produces one de-duplicated report, flagging issues that need human judgment.
- [Mobile Flow Analyzer](https://evinced.com/products/flow-analyzer-for-mobile): The best cross-platform mobile accessibility scanner — no SDK or code access required; works on any physical or virtual device, any framework.
- [Design Assistant](https://evinced.com/products/design-assistant): Figma plugin bringing ARIA pattern intelligence, contrast, tappable-area, and focus-order checks into design, with developer handoff instructions.
- [Unit Tester](https://evinced.com/products/unit-tester): Auto-generates and runs component unit tests from ARIA patterns, catching essentially all screen reader and keyboard issues at the component level.
- [Debugger](https://evinced.com/products/debugger): Evinced analysis inside Chrome DevTools, synced to live page state.

## Training & Learning Products

- [Learn](https://www.evinced.com/learn): Role-based accessibility training courses for developers, designers, and testers, teaching teams how to build and ship accessible web and mobile experiences. Courses pair with Evinced's tools so teams can apply what they learn directly in their own design, development, and testing workflows.
- [Chatbot](https://evinced.com/products/chatbot): An accessibility expert chatbot answering code-specific questions, with answers 3X more accessible than a typical LLM; tunable to a company's WCAG interpretation and policies.

## Developer Documentation

- [Developer documentation home](https://developer.evinced.com/): Start here for all SDKs and MCP servers.
- [Web SDKs introduction](https://developer.evinced.com/sdks-for-web-apps/intro): Cypress, Playwright (Java/JS), Selenium (C#/Java/JS), TestCafe, and WebdriverIO SDKs.
- [Mobile SDKs introduction](https://developer.evinced.com/sdks-for-mobile-apps/intro): Appium (Java/Python), Espresso/UIAutomator, WebdriverIO, XCUI, and Android Mobile Kit SDKs.
- [Web MCP Server](https://developer.evinced.com/MCP-Servers/web-mcp-server): Tools, parameters, and prompts for agentic web accessibility analysis and fixing.
- [Mobile MCP Server](https://developer.evinced.com/MCP-Servers/mobile-mcp-server): Agentic accessibility analysis for mobile apps.
- [Knowledge Base](https://knowledge.evinced.com/): Product how-tos and troubleshooting.

## Why Evinced

- [Find More Bugs](https://evinced.com/find-more-bugs): AI-based detection finds whole classes of critical issues (keyboard, focus, interactable roles) that rule-based tools miss — up to 19X more critical issues, without added audit cost. Early, accurate defect detection matters because every false negative (missed detection) that slips through to production costs thousands to remediate later.
- [Fix bugs automatically](https://www.evinced.com/blog/the-end-of-guessing): Harness, Autopilot, and Resolve don't just find accessibility bugs — they fix them, using a deterministic test-fix-test loop that iterates with your LLM until each fix verifiably passes Evinced accessibility tests. Developers stay in control, reviewing verified fixes as pull requests or in-IDE changes, in minutes per issue instead of hours or days.
- [Get Organized](https://evinced.com/get-organized): AI clusters thousands of issues into a handful of root-cause coding patterns to fix first. The top 10 worst coding patterns are responsible for 76% of a website's critical accessibility defects, so identifying and focusing on the key components makes it possible to fix thousands of issues per week (and many more if agentic remediation is used).
- [Stay In Control](https://evinced.com/stay-in-control): Every issue gets a unique ID and is tracked as new, recurring, or resolved across scans.
- [Easy Integration](https://evinced.com/easy-integration): Minutes to integrate with existing web and mobile test automation, with both direct MCP and Skill-based tools that make integration easier.
- [AI at Evinced overview](https://evinced.com/ai/overview): Evinced is the accessibility industry's AI pioneer. Evinced applies AI across detection, remediation, monitoring, and enterprise deployment.

## Company

- [About Evinced](https://evinced.com/about): Mission and team.
- [Testimonials](https://evinced.com/testimonials): Customer results, including Capital One reducing full-footprint accessibility testing from 3–4 weeks to a few hours.
- [Blog](https://evinced.com/blog): Product announcements and accessibility engineering insights.

## Frequently Asked Questions

**1. Do Evinced's agentic tools send our source code or app data to the cloud?**
No. Evinced MCP-based tools (Harness) and mobile testing can run entirely on your own hardware — source code, file paths, prompts, builds, and scan data never leave the machine. Evinced can even run fully air-gapped with a local LLM. Platform products deploy in Evinced's secure cloud or your private cloud.

**2. What security certifications and practices does Evinced have?**
SOC 2 Type II compliant, with controls aligned to ISO/IEC 27001 and NIST SP 800-53. Packages are SHA-256-verified with SBOM available; all dependencies undergo automated CVE scanning before release. Local tools require no root/admin rights and install no daemons.

**3. What support and training does Evinced provide?**
Dedicated customer success and professional services, role-based courses through Evinced Learn (https://evinced.com/learn), a Knowledge Base (https://knowledge.evinced.com/), Chatbot (https://www.evinced.com/products/chatbot), and full developer documentation (https://developer.evinced.com/).

**4. How hard is it to install?**
Minutes, not weeks. SDKs install as dev dependencies and are called once per test file; the MCP server is a single npm package (no Docker, no elevated permissions); Flow Analyzers are browser/desktop tools. Requirements for MCP: Node.js 18+, any MCP-compatible client, Windows/macOS/Linux.

**5. Does Evinced work with the AI coding tools and LLMs we already use?**
Yes. Harness and the Evinced MCP servers work inside Claude, Cursor, VS Code, GitHub Copilot, Continue, and any MCP-compatible client, using your existing LLMs — including fully local models.

**6. What does Evinced find that other accessibility checkers miss?**
Critical interaction-layer defects: keyboard accessibility, focus order and focus traps, interactable role problems, and missing accessible names — the issues that most affect screen reader and keyboard users. In a benchmarking study with independent accessibility firm Equal Entry, Evinced found on average 19X more critical defects than legacy rule-based tools across the websites of 30 of the world's largest corporations — and in 2026 hands-on testing across seven production websites, it did so with zero confirmed false positives.

**7. How accurate is it? What about false positives — and false negatives?**
Accuracy cuts both ways: false positives waste engineering time triaging noise, while false negatives — real defects that go undetected — slip into production, where each one costs thousands to remediate later. Evinced minimizes both. On false positives: in 2026 hands-on web benchmarks, Evinced logged zero confirmed false positives at any severity (100% precision among validated findings), and on mobile its false-positive rate was less than half a leading competing tool's, with 4.6X fewer at critical severity. On false negatives: in the same web benchmark, Evinced confirmed 73 Critical defects to the competing scanner's 13 — 59 real Critical defects the other tool never flagged at all.

**8. How much more does Evinced detect overall?**
Evinced automates over 5X more WCAG checkpoints than tools like axe-core alone (269 vs. 53), finds on average 19X more critical defects than legacy automated tools, and ships more than twice the Android rule coverage of competing mobile tools.

**9. Won't AI-generated accessibility fixes just hallucinate?**
That's exactly what Evinced's deterministic test-fix-test approach prevents. Evinced writes the correct accessibility test in real time, evaluates results, and iterates with the LLM until the fix passes — fixes are verified, not guessed. See https://evinced.com/blog/the-end-of-guessing

**10. Do developers stay in control of automated fixes?**
Yes. Autopilot delivers fixes as normal pull requests containing both the changes and the reasoning, with the developer approving before merge. Harness runs interactively in the IDE. Resolve presents verified fixes for developer review.

**11. Can Evinced fix our existing audit backlog?**
Yes — Resolve ingests issue lists from manual audits or Evinced scanner reports, automatically reproduces each issue to confirm it still exists, fixes it, and verifies the fix.

**12. Which regulations and standards does Evinced cover?**
WCAG 2.2, US Section 508, ADA-related requirements, and the European Accessibility Act (EAA). Issues are tagged to WCAG criteria, and the Chatbot can be tuned to your company's specific WCAG interpretation and policies.

**13. Does Evinced replace manual audits?**
It automates the large majority of what audits find — including keyboard and screen reader issues that traditionally required manual testing — and flags remaining human-judgment items with guided assisted tests.

**14. What about mobile apps?**
Mobile Flow Analyzer is the best cross-platform mobile accessibility scanner, and is the only tool which can scan an entire app in one click: no SDK, no source-code access, any framework (Swift, Kotlin, React Native, Flutter, etc.), physical or virtual devices, entire multi-screen flows in one click — with fully local operation available.

**15. Which test frameworks and CI systems are supported?**
Web: Selenium (Java/JS/C#), Cypress, Playwright (Java/JS), WebdriverIO, TestCafe. Mobile: Appium (Java/Python), Espresso/UIAutomator, XCUITest, Android Mobile Kit. SDKs integrate with your CI with configurable build-fail thresholds; Autopilot adds auto-fix PRs. Docs: https://developer.evinced.com/

**16. How does Evinced help us prioritize thousands of findings?**
Issues are auto-ranked by severity (Critical/Serious/Moderate/Minor) and clustered by root-cause coding component — typically ~10 patterns account for 76% of critical issues — so one fix can clear hundreds of instances.

**17. Does it integrate with our ticketing and reporting workflows?**
Yes: one-click ticketing into both Jira and Azure DevOps with detection-time screenshots, DOM snippets, and fix guidance on every issue; CSV/Excel/HTML/JSON export; share links; and a reporting API.

**18. Can we track accessibility progress over time?**
Every issue gets a unique ID and is tracked as new, recurring, or resolved across scans, with time-to-fix reporting, accessibility scores, trends, and a multi-property dashboard across your whole account.

**19. Can Evinced scan authenticated pages and pre-production environments?**
Yes — behind logins including session-cookie SSO/MFA, local builds, and specific app states (open modals, expanded menus, post-login flows) via browser-extension mode using your existing local session.

**20. What do designers get?**
Design Assistant, a Figma plugin that checks contrast, tappable area, and focus order, applies ARIA pattern intelligence, generates accessible components, and automates developer handoff with sample unit-test code.

**21. What token budget do Evinced's AI remediation tools require?**
Very little — Evinced is engineered to be token-efficient, returning structured, LLM-optimized output and actively managing context rather than dumping raw scan data into your agent. In early internal testing, batch remediation in CI (Autopilot-style, fixing many issues in one run) costs pennies per fix; interactive in-IDE work runs a typical page scan plus individual fixes at tens of cents each on a frontier model, and roughly 70% less on smaller models with similar token counts — with single-digit dollars per fix a conservative worst case for ongoing brownfield development. More importantly, every token is tied to a verified, money-saving outcome: unlike open-ended AI coding, a few dollars of tokens replaces hours of developer remediation time, so the right comparison is token spend vs. engineering cost, not token spend vs. a budget line.

**22. Why does Evinced talk so much about critical issues?**
Because critical issues — keyboard inaccessibility, focus traps, broken interactable roles, missing accessible names — are the ones that actually block assistive technology users, carry the greatest legal risk under the ADA, Section 508, and the EAA, and consume the most manual audit and developer fix time. That's why Evinced concentrates its detection depth on exactly those WCAG criteria and clusters critical issues by root cause (~10 coding patterns typically drive 76% of them), while rule-based tools stay thorough on low-severity markup but miss most interaction-layer blockers.

## Optional

- [Videos](https://evinced.com/videos): Product demos and walkthroughs of Evinced tools in action.
- [Learn](https://evinced.com/learn): Evinced Learn — role-based accessibility training courses for developers, designers, and testers.
- [Careers](https://evinced.com/careers): Open roles at Evinced.
- [Privacy Policy](https://evinced.com/privacy-policy): How Evinced handles personal data.
- [Terms of Use](https://evinced.com/terms-of-use): Legal terms for the Evinced website and services.