Updated posts 2026
Where luxury meets technology, a set of entrepreneurs is using AI to reshape how people invest in collectible goods. From watches to wine to sneakers, these tools are changing how collectors at the top end of the market assess what they are buying.
EveryWatch: AI for Watch Collectors
EveryWatch was founded by Giovanni Prigigallo, a watch enthusiast who found the auction market frustratingly opaque.
The platform draws on data from over 400,000 watch sales dating back to 1989, giving subscribers access to pricing trends and auction results.
EveryWatch’s database covers brands including Rolex, Cartier and Omega, allowing collectors to make better-informed decisions about what a piece is actually worth.
eWibe: An AI Chatbot for Wine Investment
In Italy, Carlo Arrigoni runs eWibe, a marketplace for wine collectors interested in both drinking and investing.
Using ChatGPT’s technology, eWibe has built a chatbot that helps investors assemble a wine portfolio.
The system considers stated preferences and risk tolerance to suggest combinations from eWibe’s inventory, simplifying what has traditionally been a specialist’s game.
Entrupy: Authentication for Luxury Resale
Entrupy applies AI to authentication in the luxury resale market, using microscopic imaging of items to assess whether they are genuine.
The company reports an accuracy rate of 99.1% for its machine learning models, which matters in a market where counterfeiting is both widespread and increasingly sophisticated.
Authentication is the quiet precondition for everything else on this list. A secondary market cannot function at scale if buyers cannot trust what they are buying, which is why resale in watches and handbags historically ran through a small number of dealers whose personal reputation stood behind each item. Automating that judgement is what allows the market to widen beyond people who know a dealer — and also why the accuracy figure, and what happens in the remaining fraction of a percent, is the number worth examining most closely.
Arbit: AI Pricing for Sneakers
Venita Cooper’s Arbit, based in Tulsa, Oklahoma, uses an AI-driven pricing algorithm aimed at sneaker collectors.
By analysing market data and trends, Arbit offers pricing guidance and projections for sought-after releases from Jordan, Nike and Adidas.
The company has indicated plans to extend into luxury handbags, with the stated aim of making investment information available to newer collectors as well as established ones.
Poshmark’s Posh Lens
Posh Lens by Poshmark identifies brands and styles from uploaded images, drawing on the platform’s substantial catalogue of listings. Poshmark has pointed toward further applications of generative AI in content creation and styling.
Taken together, these ventures are making markets that were once closed and relationship-driven more legible to outsiders. The tools do not remove the risk in collecting — prices for all of these categories remain volatile and driven by taste — but they do narrow the information gap between the dealer and the buyer.
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