Lead Semantics develops and markets TextDistil an enterprise grade AI product targeting ‘Language and Knowledge’. TextDistil is built using state of the art Large Language Models, modern NLP, Machine Learning and Semantic Graph technology.  At the core, TextDistil product suite is an ‘automated end to end cognition pipeline’ that understands and extracts knowledge from a corpus of text, video, audio, image and standard databases, and creates RDF triples that conform to a target Ontology. These output triples populate an RDF Knowledge Graph supporting a default graph (SPARQL) query interface. TextDistil is delivered under TWO offerings:

1. TextDistil-KG, creates an integrated knowledge graph conforming to an Ontology from unstructured, semi-structured or structured input such as text documents, video, audio, images, and standard databases (SPARQL, SQL, NoSQL, GraphQL, etc.)

2. TextDistil-NLQ, an Ontology powered ‘natural language search’ interface to directly ‘query’ the corpuses of text documents, libraries of video, audio and images.

TextDistil includes an intelligent content management system and a visual graph display.

TextDistil has been applied in different industry domains: Document Archives & Libraries, News, Media, ESG Finance, Legal, Education, Healthcare and others.