Tilores Review

Tilores solves the unglamorous problem underneath most data initiatives: the same customer existing five times across five systems, spelled four different ways. Its real-time fuzzy matching resolves those scattered records into unified profiles, eliminates duplicates, and syncs the clean result back to downstream systems. Uses extend beyond hygiene — fraud detection at account creation, retrieval-augmented generation support for AI applications, and transparent merge reasoning so teams can audit why records were combined.

Key Features

• Real-time fuzzy matching of customer data
• Duplicate record elimination
• Unified data sync to downstream systems
• Fraud detection at account creation
• Retrieval-augmented generation support for AI
• Transparent profile merge reasoning

Who It's For

Tilores is built for fast-growing, data-driven companies — fintechs and similar businesses — whose customer data has outgrown manual cleanup but who do not want to build entity resolution in-house. Risk and fraud teams use it at onboarding, data teams use it for reporting accuracy, and AI teams feed unified profiles into RAG pipelines. For outreach and GTM contexts, its role is upstream: clean, deduplicated customer data makes every downstream targeting decision better. Pricing is not clearly published, so contact the vendor to scope a deployment.