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When getting the science wrong isn’t an option, can you trust your AI?

When stakes are highest, you need answers that can be sourced and defended. Most AI tools were built for language, but CAS Newton is built on over 150 years of peer-reviewed scientific literature that is curated by CAS scientists and interconnected across disciplines. Every answer is sourced and cited so you can verify.

3 out of 4

Early users rated CAS Newton answers as more trustworthy than those from other AI tools

Capabilities

From question to discovery

CAS Newton does not just retrieve information. It reasons through it, connects it, and returns answers you can act on immediately.

A trusted scientific foundation

Every answer is grounded in the CAS Content Collection™, curated and refined by CAS scientists. Get conclusions you can stand behind because the evidence behind every output is authoritative, verifiable, and citable.

Science that goes deeper

Complex, multi-part questions become targeted search paths across chemistry, biology, and more. Science-specific capabilities including structure search, functional group reactivity, spectra prediction, and properties prediction surface what a standard search cannot reach.

Complex research that moves faster

Multi-step research workflows run autonomously. Vast reference sets become clear, actionable direction. As findings emerge, hidden relationships and trends surface across the CAS Content Collection without requiring you to manually piece results together.

Decisions you can stand behind

Get the evidence to generate hypotheses, validate assumptions, and support competitive analysis and trend identification. Verified scientific evidence sits behind every recommendation, so every decision your organization makes is defensible.

CAS Newton, everywhere you work

CAS Newton is available within trusted CAS solutions like CAS SciFinder®, CAS BioFinder®, and CAS IP Finder, powered by STN™. You can also experience the possibilities CAS Newton delivers in other workflow tools via CAS Connections℠.

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CAS Newton in CAS SciFinder

Agentic Search and Search Summarization bring science-smart AI directly into your chemistry research workflow and reference searches. Multi-step questions get answered with cited, verifiable evidence in seconds.

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CAS Newton in CAS BioFinder

Agentic Search brings the same science-smart AI capability to your life sciences research workflow, orchestrating complex queries and returning directional answers grounded in verified biological sources.

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CAS Newton for CAS IP Finder™

Agentic search that transforms patent and IP searching with intuitive, conversational AI that understands your intent and delivers relevant insights.

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Experience CAS Newton in other tools

CAS Newton isn’t limited to CAS solutions. Through CAS Connections, the same science-smart agentic AI capability becomes available through ELNs, LIMs, discovery platforms, and other AI-driven environments your organization already uses. CAS Newton becomes a knowledge source to these tools through CAS Connections, making it possible to get cited, verifiable answers grounded in the CAS Content Collection within an existing workflow.

Explore CAS Connections →

For a structural biology–driven drug discovery lab like ours, CAS Newton becomes a sophisticated medicinal chemistry partner, enabling researchers without deep chemistry training to navigate complex design challenges with confidence. This capability can dramatically accelerate our efforts against diseases such as malaria and arboviral infections.

Glaucius Oliva

Professor Senior, Universidade de São Paulo

Muliti-lingual science smart ai

Interact conversationally in your native language

CAS Newton removes barriers to understanding and enables you to contextualize the direction of your thinking to take full advantage of 150 years of trusted scientific knowledge.

Protecting your ideas and data

CAS Newton operates within a secure CAS application boundary. No user input is shared outside the solution or in cross-user model training. Every output answer can be audited, providing your compliance and IP teams with the governance foundation they require. To understand how CAS approaches responsible and ethical AI, visit the CAS approach to ethical artificial intelligence.

CAS approach to ethical AI →

No cross-user training

Your queries are never used to train AI models

Private Infrastructure

All data is maintained in a secure, private environment.

User confidentiality

Search activity never shared with other users or outside CAS

Full auditability

Every AI output traceable for compliance review

Use case videos

Evolving research requires better tools

Researchers are facing constant pressure to move from question to insight faster. CAS Newton is designed to help meet these challenges head-on, combining trusted science with more efficient workflows. Here are a few examples of ways CAS Newton can improve your research.

Uncovering Scientific Insights

Watch CAS Newton analyze chemical structures, biological relationships, and curated research data to answer complex scientific questions.

Optimizing Synthetic Routes

Identify opportunities for synthetic efficiency and scalability as CAS Newton analyzes reactions data and associated literature.

Unlocking IP Insights

Streamline your patent research with CAS Newton, uncovering insights and opportunities with an AI-enabled analysis of patent and scientific literature.

Frequently asked questions

What is CAS Newton?

How do I access CAS Newton?

Does CAS Newton have usage limits?

Are my user search queries visible to other users?

Will my data be used to train CAS AI models?

How do I know if the results of my search query are AI-generated?

How reliable are AI outputs in CAS Solutions? Are there hallucinations?

Where can I learn how to use CAS Newton?

How does agentic AI identify emerging technology trends in biotechnology?

How does CAS Newton navigate large-scale scientific data repositories?

How does CAS Newton streamline routine scientific literature reviews?

How does robust scientific data management accelerate lead optimization in drug discovery?

How does agentic AI improve the speed of chemical research workflows?

How do AI agents retrieve verified scientific data from large databases?

What enables easy data management for small biotech startups?

How do drug discovery platforms support high-throughput screening and chemical synthesis?

How does scientific data management software scale for large-scale chemical research databases?

How does agentic AI automate chemical structure property prediction tasks?