From Complexity to Clarity

Our applications and workflows transform unstructured scientific data into structured, AI-ready information - enriched with high-precision terminologies.

FAIRify Data
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Turning Scientific Complexity into Reliable Data

We help life science organizations turn complex, fragmented, and un-/semi-structured scientific information into clean, structured, and semantically enriched data - ready for analysis, automation, or training of next-generation AI models.


Innovation and decision making requires reliable data. In biomedical R&D, insights often remain hidden within vast volumes of semi-structured or unstructured text - from publications to clinical trials, from proprietary research data to patents. Traditional text mining falls short in precision, and general-purpose large language models (LLMs) struggle with terminological ambiguity and domain-specific complexity.

Our company bridges this gap through two types of solutions which go hand-in-hand:

FAIRify terminology services
FAIRify Data applications

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FAIRify Data – From Complexity to Clarity


FAIRify Data is a specialized company in the life sciences and biomedical sector, dedicated to the reliable structuring, enrichment, and FAIRification of scientific data. In today’s research landscape, valuable information is often fragmented, semi-structured, or entirely unstructured. We provide innovative solutions to transform this complexity into clear, machine-readable, and AI-ready formats that empower better analysis, automation, and decision-making.


Our approach combines powerful applications, flexible workflows, and tailored terminology services designed specifically for pharmaceutical companies, research institutions, and biomedical organizations. With the FAIRify Data® Tool, scientific input from diverse sources such as publications, clinical trials, databases, and documents can be ingested, standardized, FAIRified, and semantically enriched. The workflows are modular and adaptable, supporting everything from expert-in-the-loop processing to full automation.


A key focus of our work is the development of high-precision terminologies for the life sciences. These controlled vocabularies enable consistent and context-aware interpretation of scientific content, overcoming the limitations of traditional text mining and general-purpose AI models, which often struggle with terminological ambiguity and domain-specific complexity.


FAIRify Data was founded by Dr. Wolfgang Thielemann, who brings over 20 years of experience in information retrieval, data science, and machine learning within the pharmaceutical industry. His mission is to strengthen innovation and research through high-quality data, creating a solid foundation for next-generation AI models and scientific breakthroughs.


At FAIRify Data, we turn scientific complexity into reliable clarity – transforming data into actionable insights for life science research and development.