Semantic AI for Scientific Knowledge Systems
T2 Labs builds ontology-aware AI workflows that transform scientific documents, datasets, and domain knowledge into structured knowledge graphs and AI-ready context.
T2 Labs builds ontology-aware AI workflows that transform scientific documents, datasets, and domain knowledge into structured knowledge graphs and AI-ready context.
Reusable semantic AI components for retrieval, annotation, graph construction, and agentic scientific workflows.
Agentic workflows for retrieving, normalizing, and assembling scientific context from literature, datasets, and knowledge bases.
A semantic layer for connecting entities, relationships, provenance, and domain knowledge into graph-ready structures.
Ontology-aware annotation tools for mapping text, metadata, and tabular data to controlled vocabularies and ontology terms.
Pipelines for transforming publications, entities, datasets, and relationships into reusable scientific knowledge systems.
Natural-language query workflows that help users explore RDF knowledge graphs through structured SPARQL generation.
T2 Labs is exploring collaborations around ontology-aware AI systems, knowledge graph workflows, and scientific data infrastructure.
Contact T2 Labs