Get more from
your data.
Connect published scientific evidence and knowledge graphs in a data foundation for research, with your organization’s proprietary information integrated on request.
Causaly’s Data Fabric combines indexed content with access to external sources and internal data integrations available on request, helping teams find and use evidence across their research.
Explore Data Fabric with usAccess depends on the source, license and integration configured for your organization.
A broader foundation for the question at hand.
Different questions call for different evidence. Data Fabric brings together the scientific content already in Causaly, external sources and, on request, your organization’s own knowledge.
Start with an established evidence base.
Indexed literature, preprints, clinical trials and patents provide a foundation for scientific investigation.
- PubMed / MEDLINE and preprints
- ClinicalTrials.gov records
- USPTO patent documents
- Bio Graph and Pipeline Graph
Extend the evidence available.
Connectors and licensed content extend research into specialist databases and other scientific sources.
- Chemistry and compounds
- Protein structure and function
- Genomics and pathways
- Drug safety and regulatory information
Examples include ChEMBL, UniProt, Reactome and openFDA. Source access and query coverage vary.
Make internal knowledge discoverable.
On request, work with Causaly to integrate the information your teams already hold, alongside published evidence.
- Internal scientific documents
- Proprietary databases
- Enterprise knowledge bases
- Custom ontologies
Internal data integration is available on request, with scope agreed for your organization.
Indexed content is processed within Causaly. Connectors provide access to external sources; they do not imply that every record in those sources is indexed or reachable through every query. Licensed content requires the relevant access rights.
Prepare information for scientific use.
For indexed sources, integration includes ingestion, metadata mapping, content processing and validation. Processing is adapted to each source’s format and update cycle.
Enterprise Data Fabric can ingest, index and extract data from 100,000+ documents per day across multiple file types and modalities, including text, tables and images.
Bring the source in.
Fetch content, parse its format and retain identifiers, dates and other source metadata.
Manage the information.
Map source fields and account for duplicate records, updates and retractions where applicable.
Make content discoverable.
Parse, chunk and embed content for retrieval. Apply graph extraction where the source and integration support it.
Validate and refresh.
Test the processed content and maintain source-specific update and release cycles.
Connect the information your teams depend on.
Use the integration approach that fits the source and the work. Causaly supports indexing and embeddings, knowledge graph integration, ontology integration, and MCP or API connectors.
Professional services support custom connectors, document preprocessing and data modeling when needed.
Discuss your data sourcesDocuments and scientific content
Process multiple file types and layouts, including text, tables and images.
Databases and external tools
MCP and API connectors extend access to configured tools and data sources.
Scientific concepts and relationships
Graph and ontology integration add structure for scientific exploration.
Connect biological evidence and drug-development context.
Bio Graph and Pipeline Graph are part of Causaly’s broader Data Fabric ecosystem, alongside indexed documents, external sources and private datasets integrated on request.
Pipeline Graph
Explore drug-development information and the competitive landscape around targets and indications.
Explore Pipeline GraphBring your knowledge. Protect your intellectual property.
On request, Causaly’s private data fabric integrates internal information in a secure customer environment, with enterprise security, data privacy and IP protection.
Causaly does not train on clients’ data.
Discuss your integration requirementsConfigured for your organization
Agree the data sources, formats and integration scope for your deployment.
Support for complex information
Adapt preprocessing and modeling to the formats your organization uses.
Built for scale
Modular ingestion infrastructure supports processing across multiple file types and modalities.
Frequently asked questions
How does Data Fabric relate to the knowledge graphs?
Data Fabric is the broader data foundation. Its ecosystem includes indexed scientific documents, Bio Graph and Pipeline Graph, external data access and proprietary information integrated on request.
Is all external content indexed in Causaly?
No. Some content is indexed and processed within Causaly, while other sources are accessed through connectors or APIs. Access depends on the source, supported queries, licensing and your organization’s configuration.
Can we bring our own licensed or internal data?
Yes. Internal and licensed data integrations are available on request. Work with Causaly to agree the sources, access rights and integration approach. Options include indexing and embeddings, graph and ontology integration, and MCP or API connectors.
How is the information kept current?
Indexed sources have update and release processes adapted to their content and lifecycle. Refresh frequency varies by source. Connector-based access depends on the external source and the supported integration.
