Bring the most powerful life sciences knowledge graph in-house
Work better with scientists
Empower bioinformaticians to be a stronger partner to scientists by enabling them to translate data into competitive knowledge and deliver insights at scale.
Identify and prioritize targets
Identifying and prioritizing genes can be slow, costly and error-prone, influenced by data limitations, methodological biases and the complexity of biological systems. . With Causaly’s API, you can rapidly hone in on novel or promising target-disease relationships and retrieve relationships for 1,000+ target- disease pairs in fewer than 10 minutes. Prioritize targets using multiple dimensions, including strength of evidence, direction of regulation or levels of validation to increase success rates.
Analyze evidence in minutes, not months
With computational access to the largest, most precise biomedical knowledge graph, bioinformaticians can save thousands of hours per year in knowledge aggregation, comprehension, and document and evidence analysis.
500 million relationships & 250k UMLs
Simple API token, pre-made templates, and R/Python libraries
Unique insights into causality, not just co-occurrence
Precise and verifiable results with more evidence points and stronger signal-to-noise ratio
The most complete picture of the biomedical landscape
Unmatched scale with
500 million
facts combining generalized knowledge and biomedical topics
Deep understanding with
70 million
directional relationships between biomedical elements
Precise relationships with
8
different relationship types, more than any other knowledge graph on the market
Improve risk assessment
Expedite and improve the design of safety assessments and toxicology experiments using the API to ask questions like:
Discover novel biomarkers
Access hundreds of millions of external and internal data points in minutes to generate a transparently sourced and actionable landscape view of all genes, proteins and functions implicated in a disease. Navigate through a multi-dimensional web of text and visuals to explore the knowledge landscape of genes, proteins, cellular and molecular functions, answering questions like:
Enrich data pipelines
Future-proof drug development processes by using Bio Graph API in your internal data pipelines to add high quality data and dimensions of evidence and help qualify the scientific rationale and strength of evidence. Use the Bio Graph API to pursue questions like:
Causaly for R&D, AI, and IT teams
Causaly brings together millions of data sources, including preclinical, clinical, preprints, and customers’ internal information and makes it useful throughout the R&D process. Teams use Causaly to:
Identify and prioritize targets
With mature AI research tools and workflow automations built for target assessment, understand the complete picture of biomedical information in minutes and make stronger decisions about target prioritization.
Discover novel biomarkers
Probe the biological function, expression patterns, disease association, mechanism of action and more of a biomarker by simply asking questions in Causaly’s scientific AI copilot.
Decipher disease pathophysiology
Explore and share knowledge about environmental and lifestyle mechanisms, anatomy, physiology, molecular processes, heterogeneity, and more.
Get to know Causaly
What would you ask the team behind life sciences’ most advanced AI? Request a demo and get to know Causaly.
Request a demo
Unlock scientific insights from external and internal information at unprecedented levels of precision and efficiency.