Die Zukunft der Mode ist virtuell
Anprobas Virtual-Try-On-Engine lässt Ihre Kunden Stoffe durch einen Bildschirm spüren.
Why Brands Choose Anproba
Built for brands that refuse
to compromise.
Performance
Render Speed That Converts
Shoppers abandon when try-on is slow. Anproba renders on the shopper's device in real-time — no waiting, no spinners, no friction. The fastest virtual try-on in the industry.
P95 render time
Intelligence
Size Recommendations That Actually Fit
Generic size charts fail 40% of online shoppers. Our Sizing Intelligence Engine uses the customer's Digital Twin and your brand's specific cut data to recommend the right size with a confidence score.
Size Recommendation
Size S
Chest
88 cm
Waist
68 cm
Hips
94 cm
Height
168 cm
Simplicity
Seamless Integration, Zero Disruption
A single script tag. A Shopify app. A WooCommerce plugin. Anproba embeds into your existing storefront in under 15 minutes without touching your checkout flow.
<script
src="cdn.anproba.de/v1.js"
data-key="pk_live_..."
></script>
// That's it. Seriously.
Architecture
Enterprise-Grade Privacy
Every Digital Twin is encrypted with keys unique to each customer. Anproba cannot read the biometric data — only the customer's device can. This is not a feature. It is a fundamental architecture decision.
Per-user key — Anproba cannot read it
Built different.
Four principles that separate Anproba from everything else on the market.
Precision at scale.
Built for Europe's largest fashion retailers. The same sub-second render whether ten or ten million shoppers are trying on simultaneously — quietly scaling on EU infrastructure, never bending performance to save cost.
Deep fashion understanding.
Years of research into how fabric moves, how seams fall, how weight changes drape. The result looks real because the physics are real — not a flat overlay pretending to be couture.
Privacy by architecture.
Every Digital Twin is encrypted with a key that belongs only to the user. Our servers process data they cannot read. Zero-knowledge biometrics — a standard we set for ourselves long before regulators asked.
Instant sizing intelligence.
A size recommendation arrives in under 200 milliseconds — before the shopper has finished reading the product description. Built on the customer's own Digital Twin, not a generic lookup table.
<0s
VTO-Render
0.99%
Verfügbarkeits-SLA
0
Sprachen
0
Plattformen
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