axe-core under the hood
Findings come from the open-source rule engine your developers already trust. No vendor scanner; no false-positive arguments; the same output as `axe.run()` from a unit test.
For engineering teams
AccessGlade runs the same engine your developers already use locally, ships findings in a standard format, and pushes them into the queue you already triage from. No proprietary detector. No new place to babysit. No PDF.
You've seen this movie before
You inherit a 47-page accessibility audit from a consultancy. It lists 312 issues across 208 pages — most of which are the same broken header repeated. Your team gets handed a CSV, files a few tickets, and the rest evaporates. The score on the dashboard stays at 87% forever; the 13% never moves.
What you get
Findings come from the open-source rule engine your developers already trust. No vendor scanner; no false-positive arguments; the same output as `axe.run()` from a unit test.
Findings persist as W3C‑standard EARL assertions. Audit history is yours, not ours; export anytime; portable to any compliance workflow.
j/k to move, x to select, e/r/i to set status, ↵ to open. Bulk-resolve 50 issues in 5 seconds. Saved views you can share via URL. Built like the bug tracker you actually use.
One-way push from a finding to your tracker so the fix happens where engineers already work. Jira, Linear, and GitHub today; more on request.
POST EARL findings to /api/ingest from your CI, scheduled jobs, or scanners we don’t natively support. The Chrome extension uses the same API — sign in, audit any page, sync.
Tenant isolation enforced at the PostgreSQL layer, not in app code. A finding from org A is mathematically unable to surface in a query from org B. Verified with integration tests, not promises.