Data challenge
Scientific evidence, targets, pathways, biomarkers, and publications are scattered across sources, internal databases, literature, patents, and third-party feeds with no unified reasoning layer to connect them.
Datavid value
Knowledge graphs and semantic search connect scientific evidence across CAS, BioFinder, Medline, EFSA, and Registration.gov. Researchers surface relevant publications, identify targets, and prioritize leads faster, without leaving a single interface.
Data/content services - BioBank integration - Data source integration
Data challenge
Compound, assay, model, field trials, and experimental data sit in separate, siloed systems, making it impossible to connect targets, mechanisms, and outcomes for confident progression decisions.
Datavid value
Harmonized data models and specialist UIs built for research scientists link compounds, targets, mechanisms, and outcomes. Knowledge management workflows and compliance & safety reporting are traceable from day one.
Knowledge management - Specialist research UIs - Compliance & safety reporting
Data challenge
Trial data, documents, endpoints, site, and field data, and operational feeds are fragmented, reducing cross-study visibility, increasing manual burden, and slowing submission preparation.
Datavid value
FAIR metadata, trial data harmonization, and semantic enrichment improve cross-study reuse. Structured compliance reporting and data quality layers significantly reduce submission timelines.
Trial Management - Data quality & harmonization - Compliance reporting
Data challenge
Submission content, labeling, and registration claims, regulatory obligations, and policy changes are document-heavy, hard to trace, and difficult to monitor consistently across markets and jurisdictions.
Datavid value
Traceable evidence links, regulatory intelligence workflows, and audit-ready data foundations support end-to-end compliance. Semantic retrieval surfaces the right content across labels, registrations, submissions, and regulatory change feeds.
Regulatory intelligence - Traceable evidence - Audit-ready data foundations
Data challenge
Literature, congress content, KOL activity, and competitor signals are high-volume, noisy, and hard to monitor, making it difficult to identify commercially relevant signals before they matter.
Datavid value
Semantic indexing, text mining, and graph-based intelligence help medical affairs, agriscience, and commercial teams detect signals across publications, trial registrations, competitor pipelines, and real-world evidence.
BI & data science - Commercial engagements - Semantic signal detection
Data challenge
Safety signals, case narratives, product labels, and regulatory updates are siloed and difficult to connect at scale, while manual case review creates bottlenecks that slow regulatory response.
Datavid value
Multi-channel post-market surveillance with semantic retrieval and evidence traceability supports signal evaluation, safety monitoring, and regulatory response, reducing manual overhead and accelerating case processing.
Multi-channel post-market surveillance - Semantic retrieval - Evidence traceability
Semantic search for R&D efficiency
AI-powered knowledge graph platform transformed decades of siloed research into instantly searchable insights.
- Reduced research retrieval time from hours to seconds
- Tens of millions in productivity gains annually
- Supports regulatory goals by enabling data reuse over new testing
