R&D organizations thrive on insights, but how research data is stored, accessed, and shared often creates bottlenecks.
Teams repeat past experiments without realizing it. Literature reviews take too long. Institutional knowledge is lost when staff leave. And proving compliance is difficult without traceable documentation.
You’ve likely seen:
Datavid helps R&D organizations make their research FAIR: Findable, Accessible, Interoperable, and Reusable. We bring structure to everything from experimental results to scientific publications, giving your teams faster access to the knowledge they’ve already created.
Key elements of our approach:
Datavid is helping Syngenta's scientists identify concepts that are relevant to their research quickly and effectively, saving hundreds of hours of time and effort weekly.Head of Content Digitisation, Syngenta
Every component is modular, letting you start small and scale over time.
Extract meaning from experiment reports, publications, and notebooks, making them searchable and machine-readable.
Use controlled vocabularies and identify key research entities (such as compounds, genes, methods) across unstructured content.
Develop reusable metadata frameworks aligned with industry standards, such as CDISC for clinical trials or internal compound libraries.
Import data from Excel, PDFs, Word files, and more with automated tagging, classification, and enrichment.
Empower scientists and analysts with faceted search, graph-based navigation, and interactive discovery tools.
Syngenta struggled with decades of valuable research locked in siloed documents and systems, forcing scientists to waste time searching for past work or unintentionally duplicating it.
Datavid partnered with Syngenta to: