Cut through the noise with a high-precision biomedical knowledge graph
We built the largest and most accurate knowledge graph on the market for life sciences.
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That are always verifiable
Understand the distinction between factors that directly cause an outcome and those that happen together without a causal link
That organize facts and relationship triplets across hundreds of semantic categories
In production environments and continually reviewed and revised by scientists.
For not only external but also internal data and IP
Reliably distinguish between causality and correlation
Causaly’s machine learning team is supported by PhD research scientists who spent years building, fine-tuning, and testing our knowledge graph and enabling generative AI to give a complete picture of the biomedical landscape.
500 million reliable facts
Built to scale, with pipelines that add new relationships at the pace at which the underlying biomedical data evolves
70 million directional relationships
Understand the precise nature of the relationships between biomedical concepts, versus only interactions
5 million custom concepts
Custom biomedical ontologies not present in competitor knowledge graphs
Give R&D teams a “single source of truth”
With the enterprise data fabric, organizations are able to integrate institutional knowledge into the knowledge graph. Causaly’s scalable, secure Private Data Fabric embeds, structures, and characterizes customers’ proprietary data in the context of the graph’s massive and dynamic store of public information.
Investigate millions of relationships quickly
Causaly’s Bio Graph is a visual knowledge exploration tool that enables R&D teams to find answers to the complex, questions that drive discovery and innovation forward.
With the help of Causaly Copilot, users can, in seconds, compare side-by-side data visualizations of hierarchical, multi-directional data and cluster relationships and facts, speeding research and uncovering new connections.
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A complete picture of biomedical knowledge
Causaly’s graph stands out not only for its breadth of information, but for its depth of knowledge on biomedical topics. Custom ontologies have been built and maintained by PhD research scientists and constantly updated by Causaly’s enterprise data fabric. They cover millions of critical life sciences concepts, including drug targets, causality, genes, pathways, disease mechanisms, and treatments.
The future of knowledge access
The knowledge graph works in tandem with Causaly’s next-generation search and retrieval technology: Scientific RAG™. A hybrid of standard similarity search and advanced graph-based search, it pulls and prioritizes information from the knowledge graph to deliver complete, clear, accurate, and precise answers — verifiable through inline citations — that drive scientific discovery and innovation forward.
"We previously conducted a big proteomics study on a clinical trial where we were trying to see patterns in the data. Initially we didn't find much, but when I went back with Causaly, I kept saying 'hey, we missed that.'"
Always stay up-to-date
The knowledge graph is underpinned by Causaly’s advanced enterprise data fabric that continuously draws and updates data from thousands of credible, vetted pipelines.
Abstracts, full text, and preprints
Quickly scan sources like MEDLINE and PubMed Central to identify studies that are relevant to your research question
Genome-wide association studies
Pinpoint specific genetic variants and how they interact to influence diseases
USPTO patent filings
Identify emerging trends, competitors, and technologies across the landscape
Clinicaltrials.gov data
Analyze ongoing trials and assess the feasibility of conducting similar trials for a disease
Your own proprietary data, securely stored
Investigate the mechanism of existing drugs and their interactions with biological targets
An API to harness the power of the knowledge graph for in-house applications
Causaly’s Bio Graph API offers programmatic access to Causaly’s knowledge graph. Populate applications and workflows with the knowledge graph, and improve end-user value and adoption of in-house and third-party platforms, applications, and data pipelines.
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Get to know Causaly
What would you ask the team behind life sciences’ most advanced AI? Request a demo and get to know Causaly.
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Unlock scientific insights from external and internal information at unprecedented levels of precision and efficiency.