Causaly 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.
“We’re redefining drug discovery by helping research teams integrate knowledge from the entire biomedical landscape, not just search literature,” said Yiannis Kiachopoulos, co-founder and CEO of Causaly. “Causaly Discover serves as the central hub for all information researchers need to accelerate therapies to market. New AI agents now deliver deeper insights so scientists can quickly move from questions to confident decisions with unmatched speed and transparency.”
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The cost to develop a new drug can exceed $2 billion, with the entire development process from discovery to launch taking over a decade. Identifying the right target for research and not wasting time on non-viable programs can significantly improve effectiveness, efficiency, and productivity in the early discovery stages.
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.
Source: PRNewswire
