FindMine builds AI-driven styling and outfitting technology that generates outfits, shoppable content and editorialized product recommendations for retailers and brands. Its tech combines discriminative machine-learning models, vector databases and generative AI visualizations to understand products and create shoppable experiences from messy, unstructured brand data. The company says its technology directly powers $89 million in retailer and brand revenue annually and drives nearly $1 billion in downstream annual revenue through FindMine-generated content. Clients include Adidas (an early adopter), Lululemon, Lands’ End, DXL, Annie Bing, Vineyard Vines and French retailer CFOC, spanning the U.S., Canada, Europe and Japan. Founded in 2014 and taking on clients from 2016, FindMine emphasizes building its own models and infrastructure rather than relying on human-in-the-loop systems. Investors and partners cite the product’s ability to ingest unstructured data and scale outfit curation as key benefits for driving engagement, margin and inventory outcomes. FindMine builds predictive-intelligence and analytics technology that uses merchant sales data and AI to help brands predict trends, manage inventory, and automate content creation. The company’s platform generates highly-produced, curated editorial and visual shoppable assets in milliseconds for use across websites, campaigns, social media, emails and in stores. FindMine serves beauty, apparel and home brands, including Adidas, Perry Ellis, Reebok and Cole Haan. Leadership says the product improves top-line revenue via larger shopping carts and longer customer lifecycles while helping merchants improve profitability and gross margins through better inventory and logistics management. The firm positions its solution as a scalable alternative to one-to-one personalization by automating bespoke content at scale. FindMine plans to continue developing its AI-powered content engine and machine-learning capabilities and to use new data sets to better locate inventory along the supply chain and reduce split shipments. Its technology is marketed to help brands maintain visibility with customers and drive revenue and loyalty.

Total raised

$17M

Funding rounds

2

Latest round

Series A

Latest activity

Apr 2024