Unify structured and unstructured data
across studies, formats, and systems
In life sciences, data drives everything, from clinical trials to regulatory approvals and post-market monitoring.
However, that data is often distributed across:
Datavid helps life sciences teams modernize how they manage, organize, and reuse scientific information- across clinical, regulatory, and research domains.
We work with leading biotech, pharmaceutical, agriscience, and research institutions to:
across studies, formats, and systems
Enable researchers to find what matters—fast. We use knowledge graphs and AI tools to interpret vague queries, uncover hidden relationships, and connect teams with the needed information.
Standardize data using controlled vocabularies (e.g., MeSH, SNOMED CT, MedDRA) or internal taxonomies—this is essential for cross-study analysis, collaboration, and traceability.
Convert scientific PDFs, regulatory reports, scanned documents, and internal records into structured formats like XML or JSON, ready for automation and downstream analytics.
From audit trails to content validation, we embed GxP, FDA, and EMA requirements directly into your data pipelines to streamline oversight and reduce manual intervention.
Deploy on AWS, Azure, GCP, or on-premise—our systems flex with your infrastructure.
Structure your data for predictive modeling, generative AI, and ML-based or agentic AI automation—accelerating time-to-insight.
Datavid unifies structured and unstructured information across clinical, regulatory, and research sources. We apply semantic enrichment, FAIR principles, and knowledge graphs to make data consistent, searchable, and ready for reuse.
We build compliance into the data platform from the start. Our workflows include audit trails, validation, and traceability aligned with GxP, EMA, and FDA standards. This reduces manual effort while maintaining regulatory integrity.
Our accelerators, such as Datavid Rover, shorten delivery timelines. Teams typically see working pilots in weeks, not months. This allows organizations to test value quickly and scale to production with confidence.