Who We Are
At OntoChem, we specialize in consolidating and structuring data through semantic normalization, turning unstructured data, internal data silos, and external data into actionable insights that fuel discovery and innovation.
Our mission is to enable organizations to accelerate innovation by making knowledge accessible, actionable, and ready for advanced analysis.
What We Do
We help organizations bridge the gap between unstructured and structured data. By leveraging our wold-class ontologies and advanced semantic algorithms, we make it easy to extract information from unstructured data sources and provide normalized inputs for advanced technologies such as Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG) applications.
Our platform is specifically designed to streamline data discovery, offering powerful functionalities like Named Entity Recognition (NER), Label Resolution, Abbreviation Detection, Name2Structure as well as Optical Structure Recognition (OSR) to identify domain-specific concepts such as chemical compounds and reactions in text and images.
Whether it's normalizing data for use in knowledge graphs or accelerating research through advanced insights, OntoChem provides unparalleled precision and speed in data processing.
Who We Serve
OntoChem serves organizations in the life sciences and chemical sectors as well as from material sciences that are looking to drive innovation, accelerate research, and gain a competitive edge. We support R&D teams, knowledge leaders and data strategists by removing data silos and consolidating internal and external data for easy access and analysis.
With one of the largest chemical databases in the world, featuring over 165 million chemical compounds, we are uniquely equipped to meet the needs of these industries.
Together, we turn data into actionable intelligence.