(31 Mar 2025) Causaly today announced new scientific AI agents that provide research teams with the industry’s most comprehensive biomedical knowledge for drug discovery. With agentic AI in Causaly Discover, life sciences teams can access, analyze, and synthesize information across the Causaly Knowledge Graph and internal and external data sources. Now researchers can tap into the broadest and deepest ecosystem of biomedical information to answer their research questions with unprecedented speed, accuracy, and transparency.
Developed over seven years, Causaly is the most advanced AI platform for scientific discovery powered by sophisticated search algorithms that connect 500 million facts and 70 million directional relationships across 8 relationship types in a knowledge graph. Scientists report up to 90% time savings in identifying and validating the right targets for developing effective, safe therapies. Leading biopharmaceutical companies, including Novo Nordisk, use Causaly to increase their breadth of research, accelerate the timeframe and quality of target pipelines, and fuel better drug discovery and outcomes.
Built specifically for life sciences, Causaly AI agents reduce time and effort sifting through scattered data sources and large volumes of biomedical knowledge to discover new biomarkers, prioritize targets, understand disease biology, and more. Now, researchers have an even more powerful way to analyze relationships and uncover insights with the ability to:
- Answer complex biomedical questions in minutes compared to weeks
- Automatically generate detailed reports to save time reviewing insights
- Integrate Causaly with external resources like Human Protein Atlas as well as web search results
Every insight in Causaly Discover is fully traceable and backed by trusted resources, making it easy to verify results and ask follow-up questions in natural language using Causaly Copilot. Research teams can also collaborate on scientific insights by easily centralizing, saving, sharing, and commenting on findings in one workspace, with automated alerts summarizing and notifying scientists on the latest evidence.
The press release in full is here.
