Bidirectional translation of biomedical knowledge from the early research laboratory, through development and manufacturing to clinical & patient-oriented and population-based research

Machine Learning (ML) and Artificial Intelligence (AI) model development, integration and management to support scientific decisions and analysis.

Master Data Management (MDM), Semantics and Data Enrichment can help maximise data value, trust in data and support the FAIRification of data assets and digital transformation.

Generating, transforming non-graph data, and graph data storage platforms like GRAKN, NEPTUNE, NEO4J etc. alongside ontology definition & management supports interoperable and reusable data.

Data modelling, plumbing, wrangling, transformation, management, and enrichment all support Machine Learning (ML) & artificial intelligence (AI) as need good quality data to work well.

Extracting data from and transforming to alternate formats including graph data structures like RDF, special structures like ADF etc to support loading to data lakes, warehouses for reuse and data FAIRification

Ontology definition and governance in commercial and open-source platforms alongside deep domain and technical knowledge to support your FAIR and semantic data journey.