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causaly.com - Causaly | Agentic AI Platform for Life Sciences R&D

causaly.com provides information on Causaly's agentic AI platform for life sciences R&D, including drug discovery, target identification, biomarker research, clinical development, and evidence synthesis, as well as resources covering AI in biopharma, scientific benchmarks, and regulatory guidance.

Their llms.txt

The beginning of the file, from our validated copy saved 2026-10-21T08:50:04.642Z. Cached copy · Source on causaly.com

# causaly.com - Causaly | Agentic AI Platform for Life Sciences R&D

> causaly.com provides information on Causaly's agentic AI platform for life sciences R&D, including drug discovery, target identification, biomarker research, clinical development, and evidence synthesis, as well as resources covering AI in biopharma, scientific benchmarks, and regulatory guidance.


## General Information
- **Site Name**: Causaly
- **URL**: https://www.causaly.com
- **Contact**: https://www.causaly.com/contact-us
- **Demo**: https://www.causaly.com/request-a-demo
- **Privacy**: privacy@causaly.com
- **LinkedIn**: https://www.linkedin.com/company/causaly/
- **Crunchbase**: https://www.crunchbase.com/organization/causaly-inc
- **Sitemap**: https://www.causaly.com/sitemap.xml


## Overview
Causaly is the number one agentic AI platform for life sciences R&D, helping pharmaceutical and biotech organizations accelerate:
- Drug discovery and target identification
- Biomarker research and validation
- Disease pathophysiology analysis
- Indication expansion and competitive intelligence
- Clinical development and evidence validation

Causaly's platform is built on a biomedical knowledge graph containing 500 million facts and 70 million multi-directional relationships, covering 5 million biomedical concepts across 150+ ontology categories. Clients include Novo Nordisk, Teva, UCB, Eisai, Ipsen, ProQR, Scripps Research, and Innate Pharma.


## Platform
- [Generative AI Copilot](https://www.causaly.com/ai-platform/generative-ai-copilot): The core scientific AI interface. Uses GraphRAG combining Causaly's biomedical knowledge graph with Scientific RAG to deliver verifiable, inline-cited answers to complex R&D questions. Compared favorably to Microsoft Copilot and ChatGPT for life sciences use cases: provides comprehensive biomedical information access, advanced graph-based retrieval, and centralized AI governance — features unavailable in general-purpose AI tools.
- [Scientific Information Retrieval System (SIRS)](https://www.causaly.com/ai-platform/scientific-rag): Causaly's proprietary information retrieval architecture. Combines semantic similarity search with graph-based search and ranking for accuracy, reproducibility, and precision. Calibrated by biomedical information specialists and validated by scientists in production environments. Solves the core limitation of standard RAG: non-deterministic ranking and incomplete coverage.
- [Knowledge Graph](https://www.causaly.com/ai-platform/knowledge-graph): High-precision biomedical knowledge graph with 500 million facts, 70 million multi-directional relationships (including directionality and refuting evidence), 8 relationship types, and ontologies linking 150+ categories across 5 million biomedical concepts. Continuously updated via the Enterprise Data Fabric. Can be augmented with customer internal and licensed third-party data.
- [Enterprise Data Fabric](https://www.causaly.com/ai-platform/enterprise-data-fabric): Infras
…

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