Applitools checks your web, mobile, and PDF experiences against approved baselines with Visual AI, so a covered safety statement or missing eIFU element gets caught before a regulator does, in every market you ship to. A Deterministic Language Model keeps results consistent, and patient data never leaves your environment.
Visual AI flags FDA, EMA, MHRA, or PMDA labeling and safety content the moment it moves, disappears, or becomes unreadable, so it shows up in CI, not in a market you already shipped to.
Review an intentional change across multiple markets and languages at once, instead of approving the same update page by page for every region.
Every run captures a timestamped diff and reviewer approval, so you can hand regulators a clean record instead of a folder of screenshots.
Compare safety content to your approved baseline
Visual AI compares safety information, indications and contraindications, and dosage and administration tables against your approved baseline, so promotional content stays visually consistent with what was approved.
Catch drift in eIFU screens and device diagrams
eIFU PDFs, device diagrams, and IFU screens get the same check, so instructions don't quietly drift from what was approved.
Timestamped evidence of every change
Applitools stores diffs, timestamps, environments, and reviewer decisions for regulated content workflows, so you can show exactly what changed and when.
See how approved content appeared at each release
Environment and version tagging show how approved labeling and safety content looked at any past release, not just today.
Validate regional labeling across every market, in parallel
Applitools checks that regional labeling and safety information appear correctly for EMA, PMDA, and MHLW markets by comparing them against your approved reference materials, running in parallel across browsers and devices.
Check WCAG 2.2 AA and Section 508 contrast in the same run
Accessibility contrast checks run alongside your labeling checks, so a low-contrast warning or disclosure gets caught before launch, not in a separate pass.
Pharma and med device teams update labeling and safety content constantly, often with AI-assisted code and tests behind them. Applitools adds a check that doesn't guess: Visual AI compares every page, label, and PDF to an approved reference, and a Deterministic Language Model returns the same result every time.
Marketing pages, HCP portals, and product sites get checked against approved content, so a redesign doesn't quietly drop a safety statement.
IFU PDFs, device manuals, and packaging copy get checked against approved content, so a printed change doesn't slip past what's approved digitally.
Patient education content and localized market variants get checked together, so a translation or regional template change doesn't drop an approved disclosure.
