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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.
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Artur Saudabayev

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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

$4.8M

Funded over

1 round

Latest round

Series A (Nov 2019)