Operational data should be a competitive advantage, not a cleanup task.
Claro is the operating system for product and supplier data. It ingests supplier feeds and documents, maps them into your canonical schema, resolves identity, fills and validates attributes, and writes trusted records back into the systems your teams already use.
We find the invisible links between documents, products, suppliers and systems, so every catalog can be trusted by people and by machines. Complete is not the goal. Correct is.
Built from a simple belief: data should get better as your business grows.
Claro started with a simple observation: most companies treat product and supplier data as a mess to clean up, over and over, instead of an asset that compounds over time.
We'd seen it first-hand: distributors onboarding the same supplier by hand every quarter, manufacturers whose specs lived in PDFs no system could read, marketplaces drowning in duplicate listings. The tools existed to store data. Nothing made it correct, or kept it that way.
So we built the layer that does. Claro ingests supplier feeds and documents, works out what's actually the same product, fills in and checks attributes, and keeps every downstream system in sync, with a person in the loop wherever the stakes are high.
The result is operations that get faster and catalogs that get cleaner the more a business grows, built on data your teams can genuinely trust.
— Matteo Fava, CEO & Co-founder, Claro AI
The people behind Claro

Tameesh
Co-founder & CTO
Matteo
Co-founder & CEO
Emin
Principal Data Scientist · Founding Team
Prince
Sr Full-Stack Developer
Nitin
AI EngineerJoin our mission to end catalog chaos.
Bring your judgment in matching, retrieval, evals, data engineering, industrial sales and product design.
We're hiring in Berlin.