Glassability™
Accessibility repair for your course content

Glassability™

Museums protect a canvas with conservation glass: a layer that guards the work and makes it clearly visible to everyone, without altering a single brushstroke.

Glass does that for your Canvas® course. It finds what the accessibility scanners find, drafts the repair, shows its evidence, and waits for your yes.

How it works

Scan. Glass reads your course the way assistive technology does, pages, documents, images, video captions, and measures what would fail a student who can't see, hear, or click the way you do.

Propose. Where a fix has one correct answer, Glass drafts it. Where judgment is needed, the wording of a link, the description of an image, Glass writes a draft and shows its evidence.

You approve. Every proposed change waits in a simple review queue: approve, edit, or decline, item by item. Nothing changes in your course without your approval.

Receipts. Every finding, repair, and approval is recorded. What you get is not a promise but a before-and-after you can hand to your dean, in the numbers of the scanners your institution already uses.

Measured, not promised

715 → 44−94% findings
Scanner findings, before and after
Across our two pilot courses, measured by a third-party scanner's own re-scan.
296 → 0
Nondescript links
The vendors' single biggest category, taken to zero on one pilot course.
1,016,978
Caption words verified
Word by word, with human review where it counts.

Numbers from our pilot courses at a California community college, Fall 2026. Your course will differ; the receipts work the same way. See the two courses.

Why now

The accessibility gap for disabled students persisted for one blunt reason: the work was manual. Describing every image, verifying every caption word, rewording every vague link, across thousands of pages and hundreds of hours of lecture video, was never going to happen without staff that most colleges don't have.

Modern AI changed that arithmetic. Glass puts AI to work on the heavy lifting, captions verified word by word, image descriptions drafted, repairs proposed, through a verification process that holds machine output to a measured standard before you ever see it. When a call is genuinely a judgment, it goes to a person.

The honest limit is built in: the Department of Justice itself has said that fully automated remediation isn't yet good enough to trust on its own. Glass agrees. AI does the labor here, and people do the judgment. Read what the rule says.

Why repair, not just report

Accessibility scanners are everywhere. They hand instructors a list of hundreds of findings, and then the list becomes the instructor's problem, without staff, without release time, without an instructional designer.

Glass exists for the other half of the job: doing the work, with the instructor holding the approve button. Course content only; Glass never touches student records, submissions, or grades. What it asks of you.

Pilots

Glass is in invited pilots with instructors. If you'd like your course scanned, write to us.

Ask about a pilot