Named Entity Recognition

Sophisticated systems that automatically identify and extract specific entities like people, organizations, locations, dates, products, monetary values, and custom entity types from unstructured text. We train models on your domain-specific entities and terminology to achieve high extraction accuracy. Our solutions handle entity disambiguation, relationship extraction, and normalization to standard forms. Applications include information extraction from contracts, resume parsing, regulatory compliance monitoring, news analysis, and knowledge graph construction. The extracted entities enable powerful search, analytics, and automation capabilities. We provide annotation tools, quality assurance processes, and continuous model improvement frameworks. This transforms unstructured text into structured, actionable data for downstream business processes and analytics.