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Machine-reading platform for Biomedicine and Healthcare

Machine-reading platform for Biomedicine and Healthcare

We are developing the world’s biggest data platform for Cause and Effect evidence in Biomedicine using AI Machine-Reading technology. See here why we love what we do: causaly.com/blog/advancing-clinical-with-ai-hemorrhagic-disease-of-newborn-5d… The technology is self-developed and proprietary, powering a massive Biomedical Causal Knowledge Graph. It helps researchers and decision-makers to discover insights from 30,000,000 academic publications, in minutes. Causaly is used by Pharmaceutical companies and Academia in Research and Commercial departments, for Drug Discovery and Drug Safety.

Artur Saudabayev

Avatar for Artur Saudabayev
Co-Founder and CTO of Causaly. Building the worlds biggest Cause & Effect evidence platform for Biomedicine. Intelligent systems, knowledge discovery, ML

Yiannis Kiachopoulos

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Co-Founder, computational linguistics <3, Graph databases, building causal model of the world starting with Biomedicine
Total raised


Funded over

1 round

Latest round

Series A (Nov 2019)