Causaly

Causaly uses machine learning to extract causal relationships from research papers and clinical literature, helping researchers identify evidence connections and build knowledge maps automatically.

Causaly analyzes scientific literature to extract and visualize causal relationships between variables, outcomes, and interventions. It processes PDFs and text to identify cause-effect patterns, then organizes findings into interactive knowledge maps. The platform supports systematic reviews, meta-analyses, and research synthesis by reducing manual paper screening time and surfacing relationships researchers might miss.