What is DISQOVER used for?

DISQOVER is used to search, link, and explore public and private life sciences data through a knowledge graph and semantic search.

Who should use DISQOVER?

Researchers, analysts, and data teams in pharma, CROs, agritech, and animal health working on R&D, clinical, or regulatory questions.

Does DISQOVER use AI?

Yes. DISQOVER provides AI-based semantic search and NLP, and it can ground LLMs and AI agents with traceable, source-linked data.

Does DISQOVER require SQL skills?

No. DISQOVER lets users query in plain language or with structured queries and build visualizations without SQL or data engineering skills.

What are the best alternatives to DISQOVER?

Alternatives include Benchling, Dotmatics, Stardog, and data.world for research data management, knowledge graphs, and data discovery.

DISQOVER Reviews, Features & Alternatives

Overview

What is DISQOVER?

DISQOVER is a knowledge discovery platform from ONTOFORCE built for life sciences organizations. It uses an ontology-based knowledge graph to link proprietary, licensed, and internal datasets with more than 80 pre-ingested public sources. Users can query in plain language or with structured queries, filter results dynamically, and build visualizations without SQL skills. Researchers, analysts, and data teams in pharma, CROs, agritech, and animal health use DISQOVER across R&D, clinical, and regulatory work.

Best for

Pharma ResearchersData ScientistsClinical TeamsR&D AnalystsRegulatory Teams

Product snapshot

Category: Data Discovery & Exploration
Best for: Life sciences research
Deployment: Contact vendor
Free trial: No
Integrations: 80+ public data sources
AI features: Yes

Key features

Key features of DISQOVER

Knowledge graph

Link datasets through an ontology-based graph that structures related entities.

Semantic search

Find connected records using AI-based semantic and natural language search.

Public data sources

Enrich internal data with more than 80 pre-ingested public sources.

Visual ingestion pipelines

Build data ingestion pipelines visually without writing SQL or code.

Text mining add-ons

Extract entities and relationships from text with NLP add-on modules.

Data provenance

Trace every result back to its source for audit purposes.

Reviews

DISQOVER reviews

Overall

Nobody has reviewed

What users like

Links internal and public datasets
No SQL skills required
Full data provenance tracking
Built for life sciences use

What users dislike

Pricing not published
No free trial offered
Narrow focus on life sciences
Setup needs data team involvement

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Alternatives

Top DISQOVER alternatives

Benchling
Best for
Biotech R&D data
Why choose it
Unified lab data and research workflows
Dotmatics
Best for
Scientific data management
Why choose it
Search and analysis across research data
Stardog
Best for
Enterprise knowledge graphs
Why choose it
Knowledge graph platform with virtual data integration
data.world
Best for
Data catalog and governance
Why choose it
Knowledge-graph catalog for finding and governing data
View data.world

Integrations

DISQOVER integrations

DISQOVER brings proprietary, licensed, and internal datasets together with more than 80 pre-ingested public sources used in life sciences research. Teams ingest data through visual pipelines, including a clinical SDTM pipeline for study data, and can run biomarker searches across scientific databases from one interface. Results can be accessed through an API, exported, or downloaded as data packages for use in other analytics tools. A plug-in architecture lets organizations connect external AI services, and DISQOVER is positioned as a knowledge layer that grounds large language models and AI agents with traceable, source-linked data through an MCP offering.

FAQ

DISQOVER