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As a queer non-binary person of color navigating uniquely different identities, Ahmari has used fashion as both a suit of armor and a tool for self-expression. FINESSE officially launches today and I interviewed Ahmari, a recent computer science graduate with investment banking experience, to find out how (and why) he raised $4.54 million in pre-seed and seed funding to grow the first AI-led fashion house.Īhmari’s idea for FINESSE came from his propensity to solve inefficiencies with data and a personal relationship with fashion. NFLX,” FINESSE creates the products their Gen Z target audience want when they want them, and in the quantities they demand. Armed with proprietary deep tech, FINESSE eliminates the subjective style-tendencies of individual designers and speculative order quantities of buyers, thereby slashing the traditional 5 month lead time to just 25 days and eliminating overstock. In doing so, the brand is also redefining fashion design and production models and, crucially, the value proposition for its customers. Described by its founder Ramin Ahmari as “Zara meets Netflix
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Overstock in the fashion industry is a major barrier to sustainability due to decades-old buying strategies based on high volumes and low unit prices. As a result, many fashion companies are not openly discussing overstock, as their bulging inventory often ends up being incinerated. On the face of it, it may seem a difficult problem to solve. One startup has built a radically innovative business model, replacing designers and buyers with data, to avoid speculative order volumes.