Quantexa Entity Resolution

What Quantexa Entity Resolution is

Quantexa Entity Resolution links fragmented, uncertain records to build fuller views of people, organizations and places. It uses machine-learning models to match records incrementally, drawing on available information and, where relevant, third-party context. Machine learning and natural-language processing prepare structured and unstructured data by cleansing, parsing, transliterating and handling synonyms; models can be trained and tuned by country. Low-code, schema-less ingestion automates mapping and handles complex nested data. The product supports both batch matching and dynamic resolution when a request arrives, plus household and organization matching. Quantexa says it can scale to tens of billions of records and reports 99% matching accuracy. Deployment options include on-premises and cloud, with integrations to analytics environments, data lakes and warehouses through APIs and libraries. Quantexa identifies financial crime, anti-money laundering, customer intelligence and fraud as use cases. Pricing is on request; the product page offers a demo request but lists no trial terms.