Rapidly identify and prioritize targets
Causaly helps preclinical research teams investigate drug targets faster and with better results.
Understand the complete picture of biomedical information in minutes and make stronger decisions about target prioritization.
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Target identification programs while deprioritizing problematic targets earlier
Of all current biomedical information, external and internal
To complex scientific questions, complete with linked citations to original sources
Coming soon
With a higher concentration of successful candidates
An innovative way to build an extensive understanding of target safety profiles with AI
Understand disease biology
Causaly’s scientific AI can answer key questions for scientists as they explore the molecular, genetic, and cellular processes associated with a disease. Identify the critical points where interventions can be targeted and analyze promising pathways and signaling networks with ease.
Determine target potential
Causaly consumes the entirety of external and internal biomedical information and uses sophisticated retrieval technology to surface the most relevant, accurate results, delivering thousands of potential targets for a disease across all phases of research.
Prioritize validated targets
Advanced filtering helps scientists refine targets by criteria including study type, primary data, publication, journal impact factor, target-disease relationship, and novelty. Delve into the supporting evidence to understand directional effects, contradictory findings, and red flags.
Focus on novel targets
Pinpoint specific research needed to focus on novel targets. Zero in on emerging findings, targets with little validation, and targets yet to be directly associated with the disease and surface ideas about where to begin a preclinical study without having to run an experiment.
Faster, smarter target selection
Traditional research methods for identifying and prioritizing biomedical research targets 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 scientists with the most relevant information, saving time and effort.
The advantages of Causaly’s search and retrieval technology in a search for targets for prostate adenocarcinoma.
Quantity and quality
Causaly’s AI sifts through and removes irrelevant data from biomedical searches, offering a more thorough and accurate understanding of entire research landscapes. Now, scientists can navigate both internal and external biomedical information to discover precise, actionable targets.
The speed advantages of applying Causaly in a search for targets for chronic pancreatitis.
Uncover hidden connections
Even the most brilliant scientists work with limited time and resources. Causaly gives R&D teams a view of all scientific information — surfacing key connections that manual approaches cannot do. Three-dimensional visualizations of its high-precision knowledge graph make target-disease relationships clearer so prioritization decisions are much more informed.
Comparing Causaly to PubMed in an exploration of the off-target effects of the BRAF gene.
Remove human bias from preclinical inquiry
Identifying and prioritizing targets face significant challenges, including disease heterogeneity, stringent validation requirements, and an overwhelming volume of datasets prone to bias. Causaly cuts through the noise to extract only the most relevant insights and dramatically reduce reading time and bias, ensuring that target identification and prioritization are always based on reliable data and allowing R&D teams to accelerate drug discovery and development.
Comparing Causaly to PubMed in an exploration of the off-target effects of the BRAF gene.
"I love how Causaly's functionality allows me to generate hypotheses and gain inspiration whilst doing research, e.g. while exploring which tissues or cells are affected."
See how Causaly enhances target identification and prioritization
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.