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CAS, a division of the American Chemical Society specializing in scientific knowledge management, has launched an enhanced version of its CAS SciFinder platform with advanced AI-driven capabilities. The update introduces science-specific AI tools designed to improve the efficiency of research and development workflows by delivering faster, more actionable scientific insights.

This release marks the most extensive integration of artificial intelligence within the CAS solution suite. By combining these technologies with the CAS Content Collection™—a curated dataset of global scientific information—and refining models with expert scientific input, the new tools offer accurate, domain-specific responses tailored to scientific inquiry.

The platform now features SearchSense, a set of AI-enabled tools that allow users to input natural language queries and receive synthesized, relevant results more rapidly. These features also include result summarization and personalized output based on user behavior. According to CAS, 93% of beta testers reported improved efficiency using the updated search interface. All AI functionalities are deployed within a closed system to maintain data security across user interactions.

In addition, CAS SciFinder introduces Interactive Retrosynthesis, a real-time synthetic planning solution that reduces planning time from minutes to seconds. The tool offers immediate comparisons using curated evidence directly in the synthetic pathways, enhancing both planning speed and creativity. The system also supports more precise interpretation of user input, drawing from the world’s largest human-curated reaction dataset.

To further support R&D teams in managing intellectual property (IP) considerations, CAS has added features for patent search, visualization, and mapping. A new tool called IP Connections enables users to identify prior art and assess patent landscapes by linking relevant patent and non-patent literature from natural language inputs. These capabilities are designed to reduce uncertainty and avoid unnecessary investment in redundant research.

CAS emphasized its commitment to supporting researchers with evolving technologies that enhance productivity and insight generation. The new features are being rolled out in phases over the next two months.