Connected scientific evidence
Explore relationships between variables alongside quantitative findings, populations, and study context. The Public Graph uses openly available research sources.
Explore connected scientific evidence with an AI-powered graph, research applications, and APIs.
System organizes scientific findings as a graph of relationships between variables. AI extracts and links evidence from research sources, helping researchers investigate connected factors across health, biology, climate, and other fields. Its platform includes research applications and APIs; the Public Graph provides a subset drawn from openly available sources. These access routes have different conditions, including a partner beta for the Public Graph.
Explore relationships between variables alongside quantitative findings, populations, and study context. The Public Graph uses openly available research sources.
Retrieve disease determinants, study counts, effect sizes, and multi-step relationships through graph APIs.
Access structured findings with bibliographic information, population details, statistical measures, and confidence intervals.
Generate themed evidence summaries using graph-backed retrieval and reranking. WholeHealth and Synthesis offer application workflows for disease research and biomedical literature review.
Examine reported associations among risk factors, interventions, and outcomes, then trace the underlying findings.
Use thematic summaries and study metadata to organize literature for a research team.
Add evidence retrieval to a research workflow through the API, within the access and licensing terms agreed with System.
Request a demo for platform and API access. The Public Graph currently offers beta access by application for selected partners, with a broader public launch planned for Fall 2026.
System commits to keeping the Public Graph free for non-commercial use. That commitment does not make all platform features or commercial API access free; commercial access requires a separate agreement.
The public service terms require prior written consent for AI or machine-learning development and training. Arrange the appropriate permission before using it for those purposes.
The public service is for scientific research, not individual diagnosis, treatment, or real-time clinical decisions. Statistical associations do not by themselves establish causation.
Traffic data is for reference only.
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