BC Unify: AI-native data mastering for research-ready health data

With its end-to-end data mastering capabilities, BC Unify manages the entire cycle of structured and unstructured healthcare data integration, helping organizations replace fragmented, one-off approaches with a scalable, repeatable way to prepare high-quality data for downstream use.

Automates the ingestion, harmonization, and transformation of structured and unstructured data from clinical and non-clinical sources to reduce silos and manual effort – efficient integration at scale.

Applies recognized standards such as OMOP, FHIR and SDTM to align datasets across systems, ensuring consistency, interoperability, and compliance for collaborative research and advanced analytics.

Uses proprietary AI models to extract, structure, harmonize, and validate information, including unstructured text, with machine learning, causal reasoning, and continuous quality checks. Built-in review workflows help teams check outputs, resolve data quality issues, and maintain confidence in trusted, research-ready datasets.

Features an intuitive UI and built-in tools to process data quickly, maintain quality, and capture continuous feedback across the data lifecycle, accelerating data readiness so projects can start faster. Built-in traceability makes it clear how data was prepared, standardized, and approved.