Unison

Startup

Unison addresses one of the biggest bottlenecks in life sciences: fragmented, siloed, and heterogeneous data. Traditional approaches to integration—such as manual consolidation or heavy ETL engineering—are slow, expensive, and error-prone, thereby delaying insights and limiting the potential of AI/ML.

Unison’s middleware platform provides a faster, simpler, and more secure alternative:

Federated architecture: Analyse data as if unified without moving it, preserving security, privacy, and sovereignty

“Rosetta Stone” semantic layer: Resolves structural and vocabulary mismatches across ontologies (e.g., SNOMED vs. ICD-10)

ETL-light workflows: Logical rather than physical transformations, cutting harmonisation effort by up to 70%

Rapid standards alignment: Automated mapping to OMOP, FHIR, CDISC, or custom models

Iterative refinement tools: Domain experts can adjust and improve mappings dynamically.

The result is faster time-to-insight, higher data quality, and AI/ML-ready datasets—all while reducing engineering overhead so teams can focus on science, not data wrangling. 

Proven pilots, such as with BBMRI-ERIC, show a 70% reduction in time to interoperability and a 3.3× increase in dataset mapping capacity

By collapsing weeks of manual effort into guided, automated steps, Unison enables biopharma, healthcare, and research organisations to unlock the full value of their data—rapidly, securely, efficiently, and at scale.