DISQOVER Explore

DISQOVER Explore, developed by ONTOFORCE, is a modern, no-code interface designed to give life sciences teams instant, self-service access to connected biomedical data. Built on knowledge graph technology and powered by semantic and natural language search, it enables everyone from translational researchers to medical affairs professionals to search, filter, visualize, and collaborate on complex, interconnected datasets — without relying on data engineers or writing custom queries.

The platform addresses a core challenge in life sciences: the need for fast, intuitive access to multi-domain data without technical dependencies. DISQOVER Explore provides a configurable, interactive environment that guides users through a structured workflow — from initial search, through exploration and visualization, to evidence-based decision-making and action.

Search and Query Capabilities

• Natural language query (NLQ) support allows users to ask plain-language questions and jump directly to relevant concepts, entities, and linked datasets
• An intuitive query builder requires no coding skills, making structured querying accessible to all team members
• Synonym expansion and MeSH-based semantic query expansion enable intelligent, context-aware discovery across biomedical domains
• The in-app AI Assistant translates natural language questions into structured queries, accelerating the path from hypothesis to evidence

Exploration, Filtering, and Visualization

• Powerful, easy-to-use filters allow users to narrow down datasets, compare options, and focus on the most relevant results
• Related data concepts can be surfaced to uncover meaningful connections across result sets and domains
• Rich real-time charts and tables support data analysis and visualization directly within the interface
• Linked concept pages enable navigation across genes, diseases, drugs, and clinical trials through interconnected knowledge
• AI-generated summaries provide concise, natural language overviews of any selected result set, such as a group of clinical trials

Collaboration and Action

• Results can be exported, shared with colleagues, or used to submit data requests, supporting collaborative and evidence-based decision-making
• Customizable buttons and actions allow DISQOVER Explore to generate tailored, exportable reports — such as target reports — ready for distribution across an organization
• The DISQOVER API supports automated report generation on a recurring basis, ensuring insights remain current as new data, such as incoming clinical studies, becomes available

Configurability and User Scalability

• The interface adapts to organizations of any size, from 20 to 10,000+ users
• Views, filters, visualizations, and landing pages can be configured to match the specific workflows of different teams
• No coding or data engineering expertise is required for any user role

Integration and AI-Enhanced Insights

• Plugin and workflow integration capabilities allow DISQOVER Explore to connect with external systems, moving insights from discovery to action and eliminating manual handoffs
• The AI Assistant provides automated result summarization and AI-generated literature overviews within the platform
• Users can move from question to understanding in a single interface without leaving the platform

DISQOVER Explore is deployed by leading pharmaceutical organizations, including AstraZeneca, where it has reduced cohort selection time from weeks to minutes by providing intuitive access to harmonized clinical data. The platform is built and maintained by ONTOFORCE, whose DISQOVER technology supports life sciences and pharmaceutical companies with advanced data management, knowledge graph-based infrastructure, and visualization capabilities.