Velour
Fit-first fashion personalization
Body-aware outfit recommendations shown on your personal avatar—so you can judge fit and silhouette instantly.
Personal avatar preview
Evaluate your proportions and silhouette, fast, private, and practical.
Outfit Details + AI rationale
See why the outfit fits you—based on your signals, not generic trends.
Digital wardrobe + saved system
Save what you love, upload what you own, and generate outfits that combine both.
A quick look inside
Real screens from the current prototype, built for clarity, comfort, and control.
Privacy-forward
Setup
Outfits curated
for you
Discover styles for your day
Frequently Asked Questions
Quick answers about Velour—fit preview, personalization, and privacy.
Product & Experience
Do I need measurements to use Velour?
No. Measurements are optional. You can browse recommendations and save outfits without them. Adding measurements improves fit precision on the avatar.
What makes recommendations “personalized”?
Velour combines your style signals (what you like and save) with fit-aware cues to shape a feed that’s specific to you—not generic trend lists.
Can I adjust a recommendation if it’s close but not perfect?
Yes. You can refine the look by changing individual pieces and saving what feels right—so the system learns your direction over time.
Can I save outfits and individual items?
Yes. Save full outfits you love, and also save individual items to revisit later or build new looks from.
Privacy & Access
What data does Velour use, and why?
Only what’s needed to improve avatar preview and personalization—style signals, optional measurements, and your interactions (saves/edits). The goal is clarity and control.
Can I delete my data later?
Yes. You can update or remove optional inputs over time. You stay in control of what you provide and keep.
Is Velour available now?
Velour is in early access. Join the waitlist to receive an invite as access rolls out.
Will this work for different body types and styles?
Yes—Velour is built around body-aware preview and individualized style signals, so it adapts across silhouettes, proportions, and aesthetics.