Bussiness Ideas

LUXSIVA SCENTURA LLP is building an AI-native olfactory intelligence platform designed to solve the fundamental digital-discovery problem in luxury fragrance retail. Unlike conventional e-commerce systems that treat perfume as static product metadata, our platform models fragrance as a multidimensional, time-evolving and context-sensitive sensory signal. The product is designed to transform subjective fragrance discovery into an explainable computational process. The core technology is a proprietary olfactory knowledge architecture that standardizes fragrance language into a structured ontology of 54 canonical notes and 14 accords. This ontology resolves ambiguous consumer and marketing terms such as “woody,” “amber,” “khus,” “oud,” and “fresh” through semantic alias resolution and provenance tracking. Rather than relying on keyword search or a conventional single-vector recommender, LUXSIVA SCENTURA generates three independent orthogonal representations for every fragrance: Top Note, Heart Note and Base Note vectors. These are fused dynamically according to each user’s stated longevity preference, enabling the engine to preserve the temporal evolution of scent rather than flattening it into one generic similarity score. The platform also uses a cold-start preference encoder that converts sparse user signals—loved notes, avoided notes, occasion, budget, climate, intensity and longevity preferences—into a versioned preference vector without requiring past purchase history. A context-aware reranking engine then applies explainable adjustments based on environmental telemetry, including temperature and humidity, as well as occasion and product constraints. For example, dense amber, oud or gourmand profiles can be contextually deprioritized in hot and humid climates while remaining discoverable for users who explicitly prefer them. Every recommendation is delivered with a plain-language explanation of note alignment, top/heart/base register affinity, contextual adjustment and confidence score. The platform continuously improves through consented feedback signals such as saves, skips, ratings and purchases. LUXSIVA SCENTURA will initially launch as a curated AI-powered fragrance discovery platform for Middle Eastern, designer, niche and artisanal perfumes. The scalable long-term model is Olfactory Intelligence as a Service: a white-label API and SaaS infrastructure for luxury retailers, marketplaces and fragrance distributors. The MVP has internally benchmarked 283 ingested fragrance SKUs and reported 73% Precision@3, 69% cold-start accuracy and sub-480 millisecond end-to-end recommendation latency.

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Startup Teams

• 1 sanskar mishra (Founder)
• 2 Sushila Mishra (Partner)

Incubation Details

Not Incubated