Decipher complex disease biology
Causaly makes it easier for R&D teams to build a comprehensive, current understanding of pathophysiology.
Probe and share knowledge about environmental and lifestyle mechanisms, anatomy, physiology, molecular processes, heterogeneity, and more.
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With greater confidence
Than any other AI tool on the market
And run stronger experiments
Including biologists, pharmacologists, and computational biologists
Improve reporting accuracy and speed
Pull together a complete understanding of a disease in hours with AI
Map the full landscape of the disease state
Uncover critical insights into disease pathophysiology by examining causative cellular mechanisms using the visuals, text, and graphs in Causaly’s knowledge graph, and understand the root causes of disease at the molecular level by analyzing specific genes and proteins and how they are controlled and function in different cell types.
Uncover pathways, explore relevant targets
Find mutually associated biochemical disease pathways and use clear, structured data to see what happens upstream or downstream of a gene, enzyme, or target in minutes, dramatically deepening understanding, especially about diseases that are not yet well understood.
Generate novel hypotheses
Use Causaly’s AI to identify causal relationships between biological factors and disease outcomes. Incorporate internal information to further bolster research and answer complex scientific questions such as, “How do mutations in the BRCA1 gene increase the risk of breast cancer?” to create targeted hypotheses that drive discovery and innovation forward.
Optimize resource allocation
Allocate costs much more efficiently than before by identifying promising research directions and terminating potential failures with confidence.
Faster, smarter comparative analyses
Even the most brilliant scientists work with limited time and resources. Causaly gives drug discovery and clinical teams an instant view of all scientific information — even information that’s on page 1,000 of PubMed — surfacing key connections that manual approaches cannot do. Three-dimensional visualizations of its high-precision knowledge graph make biochemical pathways clearer, elucidating molecular mechanisms in cells and tissues and informing promising therapeutic strategies
Identifying and exploring the pathways affected by targets for acute kidney injury.
Cut through the noise and manage data overload
With 2 publications added to PubMed every minute, identifying therapeutic targets with traditional keyword searching is time-consuming, causes reading fatigue, and introduces bias. By machine-reading information, datasets and other scientific source materials across tens of millions of vetted sources, Causaly extracts scientific insights in minutes to enable the exploration of more novel avenues.
Using Causaly to narrow insights on Huntington’s disease from 1,300 targets down to 30.
Uncover hidden relationships
Traditional research methods for biomarker discovery are time-consuming - and most often, not comprehensive. Causaly’s advanced AI technology streamlines this process by analyzing vast amounts of biomedical data and presenting not only the most relevant information, but unique insights that are not possible by manual processes or other AI tools on the market.
Using Causaly to understand genes, proteins and potential mediators implicated in Graves’ disease.
Eliminate bias to decipher mechanism of action
Understanding a drug’s mechanism of action is imperative to progress in drug development. Causaly cuts through the noise to extract only the most relevant insights and dramatically reduce reading time and bias, ensuring that disease pathophysiology research is always based on reliable data and allowing R&D teams to accelerate drug discovery and development.
Using Causaly to hone in on a repurposed monoclonal antibody with potential for treating peripheral arterial disease.
"An advantage of Causaly is where I am investigating the mechanism of action for a gene of interest - I can use the platform to understand the cellular and molecular function of the gene in the disease and it will point me towards best publications to review."
See how Causaly enhances disease pathophysiology
Standardize and automate with hyper-efficient, intelligent research tools
Generative AI Copilot
Ask questions in simple, natural-language and obtain robust, cited answers on causal relationships, relevance, and more from internal and external data.
Enterprise Data Fabric
Stay on top of a research area with customizable alerts that notify users the moment new information appears or existing information changes.
Knowledge Graph
Organize facts and relationship triplets across hundreds of semantic categories with the largest, high-precision knowledge graph for scientists.
Team Workspace
Collaborate across multidisciplinary teams and easily share novel findings, data, and resources to create a holistic view of disease mechanisms.
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.