Agentic search built for scientists
CAS SciFinder® has been enriched with several new AI capabilities, sourced from trusted scientific data, to make your research faster and more comprehensive than ever before.
AI built for scientific research
Many AI models rely on incomplete data or are used for tasks they weren’t designed to accomplish. The Science-Smart AI built into CAS SciFinder is built specifically to help today’s researchers achieve breakthroughs, delivering trustworthy results and insights that you can’t get anywhere else.
- Results sourced from the world’s most trusted source of scientific data, the CAS Content Collection™
- AI that understands the nuances of scientific research
- Technology and features built with the help of real-world scientists
"AI tools, like Microsoft Copilot and ChatGPT often show wrong results, whereas the results in CAS SciFinder are very accurate and reliable."
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An assistant with generations of scientific knowledge
CAS Newton℠, our agentic AI assistant, is included in CAS SciFinder. Ask a question or conduct a search, and CAS Newton℠ will give you summaries, insights, and more all sourced from 150 years of published scientific data.
- Accurate, trustworthy results with lower risk of inaccurate information or hallucinations
- Agentic search functionality that helps you tackle multi-step research workflows
- A secure model that keeps your proprietary data safe
Search using natural language
Complex scientific questions are common when conducting research. Many tools are unable to interpret queries without proper formatting and Boolean language, leading to more time spent refining your questions. SearchSense in CAS SciFinder makes queries easier, faster, and smarter.
- Ask questions with natural language, and SearchSense will interpret it accurately, providing more targeted results.
- Get easy-to-understand summaries of reference results that you can trace back to the source.
- Enjoy the flexibility to continue using Advanced Search techniques like Boolean search
"What stands out about CAS Newton is that unlike general purpose AI models that lean heavily on language probabilities, it can execute multi-step research autonomously. For example, if a researcher asks about a complex multi-part synthesis or chemical property prediction, it handles that in a way that feels meaningfully different from what you'd get elsewhere."
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Prior art discovery in your existing workflow
Many scientists are being asked to conduct varied levels of patentability as part of their research. IP Connections in CAS SciFinder makes this possible. Using an integrated, AI-driven, proprietary search engine, you can access:
- New visualizations for assessing the research landscape.
- Current patent status information, including alive, transitional, dead, or indeterminate patents.
- Similar patents within a single search.
Retrosynthesis in real time
Synthesis planning once relied solely on human expertise. As the volume of scientific data continues to increase, this is challenging and potentially impossible. CAS SciFinder uses Science-Smart AI to deliver real-time retrosynthesis planning, a world-first for scientific research.
- Make changes to your synthesis plans as you build them.
- Draw results from CAS Reactions and the CAS Content Collection for accurate predictions.
- Seamlessly explore synthetic pathways with the click of a button.
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