Transforming unstructured content into structured, usable information
Natural Language Processing
Identify, extract, understand, and classify meaning from unstructured content and populate your Microsoft 365 term store with automatically discovered taxonomies.
Genetic Pattern Matching
Go beyond general artificial intelligence (AI) and machine learning (ML) by using genetic pattern identification algorithms to extract and match organization-specific expressions.
Multi-Dimensional Metadata
Match taxonomical terms, concepts, keywords, entity types, and classifications to inform your information architecture (IA) and create multi-dimensional metadata.
Automatic Tagging
Tag documents and lists items with approved metadata automatically, and unleash the knowledge contained in your content.
Multi-Dimensional Search
Implement search experiences to ensure content is discoverable and information lifecycle management policies operate effectively.
Meta-Lake™
Multi-dimensional enrichment-in-place solution for Microsoft 365
