Life Sciences Semantic AI Platform
Knowledge graph-powered semantic layer for Healthcare & Life Sciences
Giving healthcare and life sciences teams immediate, hallucination-managed insights built on a knowledge graph-powered semantic layer to drive faster answers and accelerate speed to market.
Trusted by Life Sciences leaders at:
Stopping the spread of epidemics like Ebola is greatly informed by models of disease, but building disease transmission models is data and software intensive. Finding the needed data and software is made much easier by the ontology-based search that uses Stardog.
Benefits of a Knowledge Graph-Powered Semantic Layer for Healthcare & Life Sciences
Strengthen scientific integrity, regulatory traceability, and interoperability with a knowledge graph-powered semantic layer built for the complexity of healthcare and life sciences environments.
Make your data FAIR
Built on open standards, Stardog ensures biomedical digital assets are Findable, Accessible, Interoperable, and Reusable.
Traceable and transparent
Stardog facilitates tracing of data lineage and empowers users to infer factors and dependencies within data.
Full ontology support
Our ontology capabilities help you create a common taxonomy for searches, pattern recognition, and recommendations. Stardog supports SNOMED, PubMed, NCIt, and more.
Data quality management
Our data quality constraints find inconsistencies across your data silos and flag conflicting data.
Stardog's Use Cases for Healthcare & Life Sciences
Stardog transforms complex healthcare and life sciences data into a traceable, AI-ready foundation that improves forecasting, supply chain visibility, quality control, and scientific discovery.
End-to-end supply chain visibility
Unify supplier, production, distribution, and demand data to deliver real-time, end-to-end visibility across complex life sciences supply chains.
Quality management & batch traceability
Link manufacturing, testing, and quality systems to reduce defects, accelerate root cause identification, and strengthen batch release confidence.
Inspection readiness & regulatory controls
Align policies, controls, evidence, and operational data to maintain continuous inspection readiness and support transparent regulatory compliance.
Scientific research acceleration
Enable researchers to discover relationships across clinical, genomic, and literature data through semantic search and traceable, context-rich insights.
Explainable, hallucination-managed AI
Deliver fast, traceable answers grounded in connected enterprise data to power AI initiatives with explainability and strong oversight controls.
Demo: Try our Supply Chain 360 knowledge pack
Stardog comes with prebuilt Knowledge Packs that eliminate up to 80% of typical onboarding time and accelerate implementation timelines.
- A well-defined data model covering a horizontal or vertical business domain.
- A set of embedded questions to allow the Semantic AI Platform to answer questions right away.
- Sample data that can be easily removed.
- An accelerator for getting insights fast!
Case Study
Boehringer Ingelheim drives faster research through Stardog
Cost savings from virtualization: Stardog eliminated the need for expensive ETL processes, redundant data storage, and data conversion. Increased analyst efficiency: the knowledge graph allows analysts to reuse past research and find answers more quickly. Increased bioinformatician output: scientists can quickly answer questions that link data across domains without cleaning data or creating additional local databases.
Read Case StudyBringing Clarity to Healthcare & Life Sciences Challenges
From early discovery through clinical trials and regulatory submission, life sciences organizations manage vast volumes of genomic, experimental, clinical, and real-world data across siloed platforms. Stardog helps unify these domains into a connected, context-rich foundation that accelerates research and strengthens scientific confidence.
Healthcare & Life Sciences Challenges
- Target, compound, genomic, and experimental data live in separate systems, making translational insight slow and manual
- Clinical trial, biomarker, and real-world evidence data are difficult to analyze together across platforms
- Studies, publications, and experimental results are stored across siloed systems, limiting visibility and reuse
- Drug development workflows must demonstrate provenance from raw data through analysis and submission
- Machine learning models often rely on disconnected datasets without biological grounding
Stardog's Solutions
- Connect research domains through a unified semantic layer so scientists can explore relationships without manual data stitching
- Link clinical and research datasets through a semantic framework to create a complete view of therapies and outcomes
- Capture and connect scientific relationships to make institutional knowledge searchable and reusable
- Preserve lineage and context across systems to support regulatory review and audit readiness
- Deliver a connected knowledge foundation that improves model explainability and scientific confidence
Stardog's Solutions for Healthcare & Life Sciences Teams
Stardog empowers healthcare and life sciences teams to make AI intelligent with a knowledge graph-powered semantic layer that connects research, clinical, and operational data into a traceable foundation.
Stardog for R&D Teams
R&D teams struggle to connect target, compound, genomic, and experimental data across disconnected systems, slowing translational insight and discovery.
Stardog connects research domains through a unified semantic layer so scientists can explore relationships and accelerate discovery without manual data stitching.
Stardog for Clinical & Medical Affairs Teams
Clinical and medical affairs teams find it difficult to analyze trial, biomarker, and real-world evidence data together across fragmented platforms.
Stardog links clinical and research datasets through a semantic framework to create a complete, traceable view of therapies and outcomes.
Stardog for Regulatory & Compliance Teams
Regulatory and compliance teams must demonstrate provenance from raw data through analysis and submission across many systems.
Stardog preserves lineage and context across systems to support regulatory review, inspection readiness, and audit readiness.
Stardog for Data & Analytics Teams
Data and analytics teams spend significant time reconciling siloed, inconsistent data, limiting reliable insight and trusted AI.
Stardog builds a connected foundation that preserves context, enforces data quality, and enables trusted analytics and AI across domains.
Stardog for Quality & Manufacturing Teams
Quality and manufacturing teams struggle to link production, testing, and quality systems, slowing root cause identification and batch release.
Stardog connects manufacturing and quality data to reduce defects, accelerate root cause analysis, and strengthen batch release confidence.
Stardog's Healthcare & Life Sciences Insights & Resources
Blog
The Unconscious Patient Problem: Entity Resolution in Healthcare & Life Sciences
The Databricks DI Platform, coupled with Stardog as a semantic layer, provides a robust, scalable alternative to brittle traditional approaches to matching patient records.
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Blog
Mapping Influence Networks for Strategic Engagement with Key Opinion Leaders
Pharma companies need a comprehensive understanding of the KOL landscape and a single tool where they can get it. See how Stardog maps influence networks.
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Blog
Make your Data FAIR
Learn how Stardog makes data findable, accessible, interoperable, and reusable to drive key outcomes for top global pharmaceutical companies.
Read Article