Our Knowledge Graph (KG) services leverage advanced agent-based operation and ontology representations, thus bringing automation and semantic context to machine-assisted solutions for the problems at hand. This allows us to introduce a semantic framework to seamlessly connect humans, machines, and agents, making them able to infer new knowledge from available data.
Use the links below, or the navigation menu at the top of the page, to view interactive demos of some of our advanced agent-based services.
A proof-of-concept search engine for accessing chemical data from the World Avatar Knowledge Graph and the Wikidata Knowledge Graph.
A "Digital Twin", composed of distributed KGs and collaborative agents that share, and combine data to answer complex questions.
Alongside our internal efforts, this work is being catalysed via involvement in collaborative research efforts, as well as engagement with initiatives such as the C4T programme of CARES at the University of Cambridge, and the Computational Modelling Group (CoMo) at the University of Cambridge.
You can also contact us if you want to know more about our Knowledge Graph technology.