Causaly
Unlock R&D productivity with the most complete AI platform for life sciences
Description
Causaly provides an advanced AI platform specifically designed for the life sciences sector, aiming to enhance research and development productivity and reduce risks. It integrates multiple sophisticated components, including a Generative AI Copilot, a high-precision biomedical Knowledge Graph, an Enterprise Data Fabric, and Scientific RAG (Retrieval-Augmented Generation) tailored for scientific information retrieval. This unified system empowers R&D teams to efficiently find, interpret, and share complex biomedical information derived from both external literature and internal proprietary data.
The platform focuses on delivering trustworthy and transparent results. Its AI Copilot allows scientists to ask intricate biomedical questions and receive reliable answers supported by inline citations, mitigating the 'black box' problem often associated with AI. The Knowledge Graph, noted for its precision and scale, helps distinguish causal relationships from mere co-occurrences. Causaly facilitates secure data integration and offers robust AI governance, supporting confident decision-making across various stages of the drug discovery and development pipeline, ultimately aiming to improve program success rates.
Key Features
- Generative AI Copilot: Ask complex biomedical questions and get trustworthy, cited responses.
- High-Precision Knowledge Graph: Distinguishes causality from co-occurrence across millions of data points.
- Bio Graph API: Provides in-house programmatic access to query the extensive knowledge graph.
- Enterprise Data Fabric: Securely integrates internal and external data sources for a unified view.
- Scientific RAG™: Enhances information retrieval precision specifically for life sciences AI.
- GenAI Operating System: Ensures reliable AI performance with central governance and flexibility.
Use Cases
- Target Identification & Prioritization
- Biomarker Discovery
- Deciphering Disease Pathophysiology
- Accelerating R&D Workflows
- Enhancing IP Value through Data Integration
- Improving Clinical Development Success Rates
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