About the Studio
A kinder place to play with your style.
NDS — Natis Digital Studio is a small creative space where we help you imagine outfits, try looks on yourself, and find pieces you'll actually love wearing — without the pressure of a fitting room or the noise of a feed.
Made for you
Upload a photo, get personal style suggestions, and preview real garments on yourself. Your photos are yours — we ask before we use anything for anything more than your own looks.
Honest by design
When AI gets it wrong, you can tell us. We keep notes on what worked and what didn't so the studio keeps getting better for everyone.
Built with care
No dark patterns, no surprise sharing. Clear consent, easy controls, and a focus on making you feel good about what you see.
For users
The more you try, rate, and share feedback, the smarter the studio gets for you — sharper try-ons, more accurate fits, and outfit suggestions that actually match your taste.
For Brands & AI Platforms Ship AI fashion content you can actually defend.
NDS implements VCEP — Verified Content & Evidence Provenance for generative fashion: every render carries an auditable record of the model, workflow, garment sources, user consent, and known limitations that produced it. Stop shipping AI visuals you can't trace. Start shipping campaign-ready content with provenance built in.
Render SBOMs
A signed bill-of-materials per image: model version, prompts, garment IDs, rights, and post-processing — auditable in seconds.
Failure Atoms
Structured telemetry on what went wrong, why, and on which inputs — so your image generator improves on real-world fashion data, not synthetic benchmarks.
MCP-native access
AI agents query VCEP records through Model Context Protocol — evidence tiers, output contracts, and provenance, all programmatically.
Consent & rights-clearance
User consent and brand licensing are first-class fields, not afterthoughts — reducing legal exposure on AI-generated campaigns.
Brands get rights-cleared, performance-ranked AI visuals. Image generators get high-signal failure data from real users. AI agents & platforms get a trusted provenance layer they can call.