Tilores does entity resolution in real time: linking the duplicate and conflicting records scattered across systems into one resolved entity, with sub-300ms ingestion, a GraphQL API for querying, thirteen fuzzy matching algorithms and confidence scoring across sources.
Explicit auditable rules are what make it usable in the markets it targets. A fraud or compliance team asked why two records were merged cannot answer “the model thought so”, and a regulator will not accept it either; rules you can read and point at are the difference between a tool a bank can deploy and one it cannot.
Tilo Tech in Berlin offers Tilores Studio free for local evaluation up to 100,000 records, with commercial pricing on request, and names Exiger and Grover among customers. Entity resolution quality depends entirely on rule tuning against your own data, false merges are more damaging than missed ones in fraud and compliance, and AWS-native deployment shapes where it can run.
