DISQOVER Foundation

DISQOVER Foundation, developed by ONTOFORCE, is a purpose-built life sciences knowledge graph platform designed to integrate, semantically link, and enrich heterogeneous data sources into a single, scalable, and trusted data layer. It is built exclusively for life sciences and pharmaceutical organizations that need to harmonize internal, licensed, and public data into one connected source of truth — ready to power both human-driven discovery and AI/ML workflows.

Modern life sciences teams face the challenge of working with vast amounts of disconnected data. DISQOVER Foundation addresses this by delivering connected, trusted, and semantically mapped data at scale. With over 3.7 billion triples pre-ingested, a track record of enabling 10× faster data harmonization compared to conventional approaches, and 15 years of industry experience supporting leading pharma organizations, DISQOVER Foundation provides a robust and proven foundation for enterprise data strategy.

Core Features and Capabilities

• Pre-built Knowledge Graph: An out-of-the-box, pre-ingested life sciences knowledge graph that connects key domains via the Life Sciences Foundation Knowledge Feed, eliminating the need to build from scratch.
• Low-code Data Ingestion Engine: A drag-and-drop visual pipeline builder that allows users to import, manipulate, link, and integrate their own data with minimal overhead, compressing months of work into hours without requiring extensive coding expertise.
• Semantic Search (UI & API): Synonym-aware search across both graph and text data, enabling scientists and data experts alike to discover relationships naturally and intuitively.
• Provenance & Traceability: Every fact within the knowledge graph carries source metadata, ensuring complete transparency, data lineage, and confidence — making the platform suitable for regulated environments.
• Plugin Framework: Automates workflows and supports export of harmonized data in standard formats including RDF and RDF*, enabling seamless downstream use across the broader data ecosystem.
• Foundation for AI & ML: A semantically enriched, fully connected knowledge graph architected to power machine learning pipelines and AI-driven discovery workflows.

Data Unification and Flexible Modeling

• Data from every domain is mapped to shared ontologies, linked across entities, and enriched with full provenance, creating a single harmonized knowledge graph from internal, licensed, and public data sources.
• The visual Data Ingestion Engine allows users to rapidly build pipelines without writing extensive code, reducing the need for specialized skills while retaining the power and flexibility of conventional RDF/SPARQL approaches.
• All unification is dependent on the Knowledge Feeds and internal data ingested by the organization, ensuring the graph reflects each organization's unique data landscape.

Data Access Options

• DISQOVER Explore: An intuitive, no-code interface that lets users interact with linked knowledge using semantic search, rich filters, real-time charts, and 360° concept views.
• DISQOVER API: Provides powerful programmatic access, enabling seamless integration with internal systems, analytics tools, and machine learning environments.
• DISQOVER Export: Transforms connected knowledge into portable, standards-based datasets that can be used anywhere within an organization's ecosystem.

Real-World Impact

• Life sciences organizations globally rely on DISQOVER Foundation to amplify their data strategy.
• Boehringer Ingelheim is strategically reusing 27 years of clinical data thanks to DISQOVER Foundation's standardization and integration capabilities, demonstrating the platform's ability to unlock value from legacy data assets.

DISQOVER Foundation is deployed by ONTOFORCE to support life sciences and pharmaceutical companies with innovative data management and visualization, built on knowledge graph technology. The platform is designed to meet the needs of regulated environments through its provenance and traceability features, and supports interoperability through standards-based export formats and open API access.