Claro is an AI-powered product data platform that helps aggregators, distributors, marketplaces, and vertical platforms transform fragmented supplier and catalog data into a unified, reliable source of truth. Built for organizations managing complex multi-supplier ecosystems, Claro ingests data from ERPs, PLMs, PIMs, spreadsheets, PDFs, APIs, and supplier feeds, regardless of format, language, or schema. It automatically normalizes attributes, resolves duplicates, creates canonical entity IDs, and enriches records with missing technical specifications, compliance data, and external context. Claro acts as the execution and coordination layer between disparate data sources and systems of record. Teams use it to accelerate supplier onboarding, improve search and discovery, enable accurate analytics, and support smarter procurement and pricing decisions. Typical use cases include supplier onboarding, product matching and deduplication, taxonomy generation, data enrichment, competitive intelligence, and catalog governance across retail and e-commerce, manufacturing and B2B distribution, ticketing and events, and procurement platforms. Founded in 2024 by Matteo Fava (former Delivery Hero and Yelp, where he built large-scale catalog intelligence systems) and Tameesh Biswas, Claro delivers measurable impact within weeks by automating data operations that traditionally required extensive manual workflows.