Anglera

Product catalog data cleanup for retailers

Anglera turns messy retail catalog data into complete, structured product data ready for AI-driven shopping. As shoppers shift toward comparing products through conversational search, most catalogs fall short: attributes are missing, taxonomies are inconsistent, specifications are locked in PDFs, supplier files are disorganized and millions of listings were only ever good enough for keyword search. Anglera fixes this at scale for large retailers, marketplaces and brands, including Fortune 500 retailers and well-known consumer brands. The team previously built catalog AI systems covering millions of items at Stanford and Uber Eats. The company is based in San Francisco, profitable and growing quickly.