AI Beauty
Buy vs build virtual makeup try-on: a mid-market decision frame
When to buy a vendor pilot versus building Face AR in-house — decision criteria for mid-market beauty teams.
Building Face AR in-house sounds like control. Buying a vendor sounds like speed. For mid-market beauty brands the real question is: who owns shade truth, mobile UX debt, and catalog updates for the next 12 months? This frame avoids “AI will do it” slogans.
What “build” actually includes
- face tracking / rendering stack and ongoing model updates;
- shade digitization pipeline and QA across devices;
- PDP integration, consent copy, analytics events;
- on-call ownership when mobile Safari breaks a camera path;
- product ops when a new SKU ships every month.
If you do not already have a computer-vision team and a multi-year roadmap budget, “build” often becomes a stalled prototype.
What “buy” should include
- clear integration path (widget / white-label / API);
- brand-scoped catalog control;
- pilot with exit terms;
- documented events you can read;
- honest roadmap labels (no selling Skin Advisor as live try-on).
Decision cues
| Signal | Lean build | Lean buy / pilot |
|---|---|---|
| CV / AR team already shipping | Yes | No |
| Need PDP proof in one quarter | Risky | Stronger fit |
| Catalog changes weekly | Need internal ops anyway | Vendor ops + your owner |
| Must be multi-vertical AR platform | Possible | Enterprise suite RFP |
| Beauty catalog + white-label first | Overkill | Mid-market pilot |
Where AI Beauty sits
We are a buy-path for beauty catalogs: demo → partial SKUs → white-label. See Pilot and vendor guide. If you need a full Face AR SDK across verticals, shortlist enterprise vendors explicitly — including comparisons in Banuba vs Perfect Corp vs mid-market.
Compare a buy-path pilot