Terminologies are not just vocabularies - they are the backbone of reproducible, interpretable data in the biomedical domain. Many publicly available terminologies were not designed for automated annotation but for human annotation. To allow automated annotation, terminologies need to be made context-aware and need to cover all semantic variations and their meaning since there is no domain expert in the loop to decide on each questionable case.
We build and curate terminologies that are:
Purpose-built for your scientific domain
Mapped to authoritative identifiers (e.g., Entrez, UniProt, MeSH, ChEMBL etc.)
Outstanding regarding their precision and recall – be amazed by our comprehensiveness and quality
Updated and versioned
Designed for integration into NLP pipelines, search engines, and AI training loops
Our terminology services cover both core biomedical domains (genes and proteins, diseases, compounds, affiliations etc.) as well as customized, focused areas (e.g., specific disease subtypes, animal models, pharmaceutical technologies, machine learning types, etc.).
Each terminology is the result of automated extraction, manual curation, and iterative validation against real-world data. We ensure high coverage and excellent balance between precision and recall - a prerequisite for reliable entity recognition, annotation, and semantic search.
Best of all:
We also offer perpetual licenses which allow you - with a one-time payment - to fully and permanently integrate the terminologies in your solutions, workflows and models.
Reach out to us to receive examples of content, structure and quality of our terminologies.
