Security & Trust

Your catalog. Your store. Your decisions.

Comerz.ai is engineered in Switzerland and built around one rule: the AI drafts, you decide. Here's how we treat your catalog, your store connection, and your data.

Engineered & hosted in SwitzerlandNo autonomous publishingEvery change on the record
Pillar 01

Engineered in Switzerland.

Comerz.ai is built and run from Switzerland, and hosted in Swiss-region data centers. We designed it for GDPR and FADP from the first line, not as a retrofit.

We keep claims plain. We'd rather make a few precise statements than decorate this page with badges.

Engineered in Switzerland
engineeringbuilt and operated from Switzerland
hostingSwiss-region data centers
privacyGDPR + FADP aware by design
postureplain claims, careful engineering, no badge wall
Pillar 02

Humans approve, always.

Every AI suggestion lands in a review state. You accept it, edit it, or reject it. Only then does it become part of your catalog. Nothing the AI writes reaches your store on its own.

No autonomous publishing. Not as a default, not as a toggle.

ai suggestionmeta description · ENdrafted, not saved
AcceptEditReject

status: waiting for your review · nothing saves itself

Pillar 03

Every change on the record.

Every product keeps its history, per channel: what the AI suggested, what you decided, and what was synced to your store, including what was sent and what came back. When a description changes on your storefront, you can trace exactly where it came from.

suggestedSEO title (DE) · drafted by AI from your product data
decidedaccepted with edits · by you
syncedpushed to your WooCommerce store · request and response kept
suggestedmeta description (FR) · drafted by AI
decidedrejected · nothing changed on your store

illustrative view: one product, one channel, in order

Pillar 04

Your data stays yours.

Your workspace is isolated. Your catalog, your AI Context, and your store connection are never shared with anyone else's. Your product text is used to generate suggestions for your store, not to train foundation models.

Our usage analytics are counts: how many suggestions, how many credits. They're not a feed of your content.

workspace isolated · your catalog is only yours
product text generates suggestions · it does not train foundation models
Usage analytics: counts, not a content feed
store connection scoped to catalog work
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