Accelerate Life Sciences innovation with trusted data

Accelerate discovery, enable new product innovation, reduce compliance risks, and modernize your scientific data management while making data AI-ready.
The challenges
Fragmented data slows scientific progress
In life sciences, data drives everything, from clinical trials to regulatory approvals and post-market monitoring.
However, that data is often distributed across:
This causes:

The Datavid difference
Structured, searchable, and AI-ready scientific data platforms
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:
Unify structured and unstructured data
across studies, formats, and systems
Apply semantic enrichment and ontologies
for machine-actionable content
Enable fast discovery
with clause-level semantic search and natural language queries
Harmonize CRF and non-CRF trial data
for a complete clinical picture
Support AI and machine learning
by structuring data for LLMs, AI copilots, and predictive tools
Support compliance
with GxP, EMA, FDA, and FAIR standards
Scientific research
Unify internal and external research sources into a searchable knowledge base. Reduce rework and enhance transparency across teams.
Learn more →Clinical data harmonization
Bring together CRF and non-CRF data - from EDCs, labs, wearables, and more - to improve trial visibility and speed data readiness for regulatory reporting.
Regulatory intelligence & compliance
Automate validation and metadata tracking for GxP-aligned workflows. Improve traceability and audit readiness without slowing down delivery.
Knowledge management & AI enablement
Build an enterprise information asset using semantic techniques that support downstream applications such as document summarization, content discovery, LLM training, and automated literature review.
Datavid Rover
Our accelerator speeds time-to-value by structuring data for FAIR compliance, AI compatibility, and cross-system reuse in just weeks.
Core capabilities
Foundational tools for scientific data transformation
From enrichment to infrastructure, Datavid delivers transformation at scale
Semantic search & discovery
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.
FAIR - Metadata
modeling & ontology alignment
Standardize data using controlled vocabularies (e.g., MeSH, SNOMED CT, MedDRA) or internal taxonomies - this is essential for cross-study analysis, collaboration, and traceability.
Document transformation at scale
Convert scientific PDFs, regulatory reports, scanned documents, and internal records into structured formats like XML or JSON, ready for automation and downstream analytics.
Compliance-ready workflows
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.
Scalable, Cloud-Agnostic Platforms
Deploy on AWS, Azure, GCP, or on-premise - our systems flex with your infrastructure.
AI-ready data pipelines
Structure your data for predictive modeling, generative AI, and ML-based or agentic AI automation - accelerating time-to-insight.
Real results for leading Life Sciences teams


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
SYNGENTA
Semantics & knowledge graphs – practical applications for enterprises
Showcased how a global life sciences organisation leveraged semantics and knowledge graphs to drive innovation, improve search, and accelerate research outcomes.
- Demonstrated how semantic search transforms enterprise information into a strategic asset
- Showed how knowledge graphs unify complex data sources for advanced discovery and reuse
- Explored practical steps for building scalable semantic platforms with proven tools
Why organizations choose Datavid
Deep domain expertise throughout the scientific lifecycle
From research to regulatory submission and post-market monitoring, we understand your workflows and the pressure to move quickly.
Faster delivery with Datavid Rover
Our proprietary accelerator reduces the time-to-FAIR, time-to-search, time-to-insight, and time to compliance from months to weeks.
Lean, results-driven delivery teams
Lean senior teams that act with urgency and precision to deliver results, without the overhead of large SIs.
Audit and AI-ready platforms
Every system we develop supports traceability, reuse, and structured data flow, all designed to meet GxP, EMA, and FDA compliance requirements.
In-country leadership and global delivery
We maintain project progress — while ensuring costs remain low and accountability stays high.
Proven at scale, in production
Our solutions handle millions of records across multi-phase studies and global deployments, from $9B clinical pipelines to 33M+ research documents.
Frequently Asked Questions
How does Datavid make life sciences data easier to use?
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.
How does Datavid help with compliance requirements?
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.
How fast can Datavid deliver results for life sciences teams?
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.
