Customer
Case Study

Leveraging a Billion-Edge Knowledge Graph for Drug Re-purposing and Target Prioritization using Genomically-Informed Subgraphs


Explore and Validate Connections Critical to Drug Discovery

We help inform strategic drug discovery decisions by unlocking critical relationships and insights from a complete landscape of biomedical data.

tellic uses large language models, NLP, and knowledge graphs to form a single source of truth for biomedical concepts. With our technology, biomedical cause-effect features are extracted from text format data, including research, grants, preprints, trials, patents, and proprietary research. Researchers and analysts can dramatically increase efficiency in searching multiple data sources and identifying relationships between biomedical entities.