What if your AI had a Ph.D.?

General AI is just that - general. CAS builds AI on decades of curated scientific data, so your R&D team gets answers it can trust.

Scientist examining chemical samples or conducting laboratory research.
課題

‍Why AI in science needs better data

67% of R&D leaders are dissatisfied with the speed of AI implementation in their organizations. One of the most common barriers is unreliable or unstructured data. 

Science-smart AI addresses these risks by integrating high-quality, validated content and technical expertise that reflects the rigor of scientific research.

How we help

Science-smart AI, built for your R&D teams

DATA

Scientist-curated, AI ready data

CAS scientists harmonize chemistry, biology, and pharmacology content into clean, interoperable datasets that fuel accurate predictions and reduce data prep time.

Solutions

AI embedded in your discovery workflow

Solutions like CAS SciFinder® and CAS BioFinder® embed science-smart AI to help you prioritize targets, accelerate pipeline decisions, and reduce risk throughout R&D.

NEW: CAS NEWTON℠

Agentic AI that thinks like your best  scientist

Conversational access to 150 years of interconnected scientific knowledge sets a new standard for AI in science.

Explore CAS Newton →
NEW: CAS INTELLIGENCE HUB℠

Your proprietary data, ready for AI

We transform scientific data management by ingesting, harmonizing, enriching, and serving scientific data at scale.

Explore CAS Intelligence Hub →
Evidence

Science-smart AI unlocks better outcomes

40% excess inventory cut in one week

Servier securely screened and categorized 47,000 chemical intermediates, cutting inventory by 40% in just seven days while protecting proprietary compounds.

Read the case study40% excess inventory cut in one week

Improved prediction and simplified synthesis planning

ChemLex improved regioselectivity prediction accuracy and accelerated discovery, competing efforts in half the time of similar projects.

Read the case studyImproved prediction and simplified synthesis planning

Waste compounds turned into products

ICL identified new applications for byproducts, enabling 75% of targeted waste compounds to be repurposed into valuable products instead of incurring disposal costs.

Read the case studyWaste compounds turned into products

More AI in science resources

R&DにおけるAI活用の準備状況を示す5つの指標

No items found.

AI in drug discovery: Moving from potential to practical

Ready to accelerate progress? Schedule a consultation