
TechRxiv
A preprint server for health sciences.

The AI platform for target identification and biomedical knowledge discovery.

Causaly is an AI platform for life sciences R&D, leveraging a high-precision knowledge graph and GenAI copilot to accelerate scientific discovery. It combines advanced AI with a biomedical knowledge graph of over 500 million relationships, enabling researchers to identify targets, discover biomarkers, and decipher disease pathophysiology. The platform integrates external and internal data, providing a 'single source of truth' for R&D teams. Its AI solutions unlock insights from diverse data sources, offering transparency with hyperlinked citations, ensuring confidence in research decisions. Causaly's data fabric securely connects internal and external data, ensuring research continuity. The platform features a GenAI operating system for reliable answers at scale and can be trained on multiple LLMs, providing users with control and flexibility. It's designed to enhance productivity and reduce risk in drug discovery, supporting target assessment and biomarker exploration.
Causaly is an AI platform for life sciences R&D, leveraging a high-precision knowledge graph and GenAI copilot to accelerate scientific discovery.
Explore all tools that specialize in knowledge graph analysis. This domain focus ensures Causaly delivers optimized results for this specific requirement.
Expansive, directional knowledge graph with custom-built ontologies across millions of causal biology topics, working in sync with RAG to help R&D teams cut through the noise and find the right information at the right time.
Open, modular GenAI operating system with central AI governance, safeguarding against hallucinations and model drift, and capable of being trained across multiple LLMs and other systems.
Securely brings internal and external data together to form a single source of truth, with sophisticated indexing and extraction capabilities for accurate search and prioritization.
Provides programmatic access to the Causaly knowledge graph, enabling users to run rigorous analyses by querying 500 million relationships, empowering bioinformaticians and data scientists.
Differentiates causality from co-occurrence using the largest and most precise knowledge graph, providing information about directionality absent from other knowledge graphs.
1. Request a demo and get access to the Causaly platform.
2. Integrate internal data sources into the Causaly Enterprise Data Fabric.
3. Define specific research questions and objectives for target identification or biomarker discovery.
4. Use Causaly's AI copilot to explore the knowledge graph and analyze relationships between biomedical entities.
5. Leverage the API to run custom analyses and integrate Causaly's insights into existing workflows.
6. Collaborate with Causaly's digital excellence team for strategic AI change management.
All Set
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A preprint server for health sciences.

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