Unlock new revenue growth from existing assets
Each new indication opens up access to a new patient population and can lead to increased sales, without the need to develop a new molecule from scratch.
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Indication expansion starts with one big question: What else could this drug treat?
Answering that means navigating overwhelming volumes of fragmented data, validating biological plausibility in a new context, and making high-stakes decisions with incomplete evidence. Most current approaches still rely on manual review and siloed tools. These approaches are slowing down discovery and raising the risk of false positives, missed opportunities, or costly dead ends.
Traditional methods can’t keep up with modern discovery
Researchers typically rely on a mix of manual literature reviews, clinical trial data, public datasets on disease biology or gene associations, and AI or machine learning tools that often lack scientific context. These efforts are frequently supplemented by expert intuition or unexpected clinical signals. But these methods are time-intensive, hard to scale, and prone to bias, and they favor familiar targets over breakthrough potential.
As a result, promising repurposing paths may be overlooked, and critical decisions are made without the full picture.
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Rapidly uncover and validate new indications with Causaly
Causaly transforms the indication expansion process by enabling researchers to rapidly discover, explore, and validate new therapeutic uses for existing drugs.
Uncover Hidden Connections
Causaly revelas hidden links between drugs, targets, and diseases.
Accelerate Hypothesis Generation
Causaly helps to accelerate hypothesis generation and explore biological pathways, test ideas, and validate target-disease relationships in minutes.
Prioritize with Strategic Insight
Causaly enables scientists to quickly identify crowded targets, active indications, and untapped white space, and to prioritze strategically.
Make smarter repurposing decisions
With Causaly, indication expansion becomes a fast, insight-led process. Causaly helps scientists turn existing compounds into new therapeutic opportunities with speed, clarity, and scientific rigor.
Connect the dots across vast biomedical evidence
Our AI platform interprets millions of scientific documents (spanning literature, trials, mechanistic studies and more), to reveal hidden links between drugs, targets, and diseases.
Surface context-rich, high-quality insights
Causaly doesn’t just show associations. It shows why they matter. It brings together mechanistic rationale, strength of evidence, and source data in one intuitive interface.
Accelerate hypothesis generation
Explore biological pathways, test ideas, and validate target-disease relationships in minutes, not weeks.
Reduce risk. Prioritize with confidence
Confidently rule in (or out) new opportunities based on high-quality, contextualized evidence. De-risk your pipeline and focus on programs with real clinical potential.
Causaly: The essential tool for unlocking new drug uses
"As I am responsible for divestment of assets, I am interested in identifying potential new uses for marketed drugs. I haven't been able to find any tool other than Causaly that can support my work. Often I don't know what I'm searching for and that's the beauty of the tool, but it gives me a starting point for interesting areas for potential development. If I didn't have Causaly, I wouldn't know whether the product works in a specific indication and wouldn't know what preliminary research has been done by other teams; it would be difficult to position the value of the product."
Global Regulatory Affairs, Head of EU Region
“If I didn't use Causaly, finding relevant papers would really be left up to chance. I really need Causaly to give me the starting point for my research.”
Global Regulatory Affairs, Head of EU Region
“It would be possible to browse the literature manually, but you can imagine the number of products I am responsible for and the amount of papers I would need to review, either industry-sponsored studies or pilot studies conducted by physicians. All this data is retrieved by Causaly, and I can filter and sort based on quality of evidence.”
Global Regulatory Affairs, Head of EU Region
Proven productivity benefits to life science organizations
77%
Of scientists believe that Causaly improves their decision-making.
(Source: Causaly customer survey.)
40%
Average time savings observed.
(Source: Causaly customer survey.)
$26-42M
Potential cost savings to be realized
(through efficiency gains across a typical organization of 5,000+ scientists; and faster deprioritizing non-viable targets.)
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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.
Request a demo