Treffer: VAULT: A Defensive Technical Paper on Multimodal, Sustainable Fashion Curation

VAULT is a defensively published multimodal AI system designed for luxury fashion environments. Rather than replacing the stylist, VAULT functions as an intelligent collaborator—blending mathematical precision with human intuition. This technical paper outlines VAULT’s full-stack architecture, which includes a Python backend, Next.js frontend, and a modular AI stack integrating Neural Matrix Factorization (NMF), GEMMA embeddings, T-BERT textual encoders, BLIP-2 VQA transparency modules, and reinforcement learning logic (SG-RL and RSRM). The system is optimized for sustainable fashion recommendations that align with real-time inventory levels, archival brand heritage, and evolving client preference data. Real-world deployments are detailed for maisons such as Louis Vuitton, Margiela, Loewe, Sephora, and Hanifa. Each use case is grounded in equations, KPIs, and clear ethical design logic. This work is published as open prior art to preserve authorship, prevent future patent monopolization, and offer a transparent blueprint for AI collaboration in high-end fashion systems.For IP inquiries, investment outreach, or partnership opportunities:Contact: Haboon Nur, VAULT Chief Technical Officer Email: haboon@thevaulthq.co , admin@thevaulthq.co Linkedin: https://www.linkedin.com/in/haboon/Publisher: VAULT