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Accelerate biomedical research.
Fast-track scientific discovery.

Find evidence, discover hidden connections and make new predictions at lightning speed with AI that reads all the biomedical literature ever published, in seconds.


Learn how to amplify your research productivity with Causaly.

Trusted by world-leading organizations

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Find answers, not just documents

Scientific discovery has outpaced conventional search capabilities. Unlike every other biomedical search tool, Causaly curates the exact evidence you need. We use machine learning to analyze and connect over 35 million scientific documents and clinical trial databases, revolutionizing the way you answer complex research questions.

Stay on top of biomedical breakthroughs

Effortlessly keep pace with the latest discoveries in your field. Causaly machine-reads and maps over 150,000 new research papers each month to give you a birds-eye view of your domain. Get notified of knowledge you need to augment your research or take it somewhere new.

Insights you can’t find anywhere else

Quickly unlock key evidence from over 350 million hidden links connecting every known biomedical cause and effect relationship to date.

What the experts are saying

“Causaly has been a valuable resource specifically for extracting top drug hits that have been tested to inhibit COVID19 in vitro or have proceeded to clinical trials”

Jillian Tingli

Researcher - UAB

"The technology behind Causaly is phenomenally impressive"

Mike Rea

Idea Pharma

“Causaly mimics how humans read, understanding the context of data in text itself”

Dr Vassilis Georgiadis

UCL

“Causaly has been a valuable resource specifically for extracting top drug hits that have been tested to inhibit COVID19 in vitro or have proceeded to clinical trials”

Jillian Tingli

Researcher - UAB

"The technology behind Causaly is phenomenally impressive"

Mike Rea

Idea Pharma

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Intelligent

Our AI technology comprehends cause and effect evidence in natural language, accounting for document context and linguistic expression, to construct directional causal graphs.

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Reliable

All evidence is represented as a cause-effect network operating in a graph database that is transparent and accessible for exploration and querying via a secure REST API.

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Secure

We have implemented robust security protocols to safeguard our platform and our users’ data.

Causaly in the news