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GeezerVison is showing www.cas.org — CAS Data: AI-Ready scientific data collection | CAS CAS Data The world’s most comprehensive human-curated scientific data collectionThe CAS Content Collection™ is expertly curated to transform 150+ years of global research into harmonized, AI-ready knowlege that powers faster, more confident decisions for chemistry, life sciences, materials, and beyond. Accelerate your path to discovery Trusted by the world's leading Innovators Top 25 Life Sciences Companies  Top 25 Chemical companies  Top 25 Universities  Top 10 Global patent offices Explore CAS dataExplore the comprehensive data types available from CAS, including chemical substances and reactions, bioactivity, clinical trials, patent intelligence, and more.  Your research teams want to be advancing science, not preparing data.Partner with CAS to eliminate data bottlenecks hindering your success.   About the collection Connecting the world's scientific knowledgeThe CAS Content Collection is the world's largest repository of human-curated scientific data. Whether you are searching for a CAS Registry Number®, planning a synthesis, conducting prior art research, or training AI models, you are leveraging a century of expert curation and scientific rigor. Human expertise at scaleHundreds of Ph.D. scientists curate the CAS Content Collection Comprehensive coverage150 years of knowledge across chemistry, life sciences, materials, and engineering Structured for discoveryHarmonized, interconnected data that delivers human insight and AI impact CAS data in actionCAS data powers the platforms scientists, IP professionals, and innovators rely on to make confident decisions, from comprehensive research tools to drug discovery platforms. Explore CAS SolutionsAI + Data Your AI is only as good as your dataGeneral AI platforms struggle to provide accurate scientific answers and reliable insights because they lack the needed data and context. What makes caS data AI-ready for science?Chemical & biological literacyAI models must interpret IUPAC nomenclature, stereochemistry, biological pathways, and reaction mechanisms correctly to generate reliable results in complex scientific domains. Structured relationshipsKnowledge structures that connect substances, reactions, diseases, targets, and patents across disciplines give models context instead of isolated facts. Expert validationScientists who correct chemical structures, clarify compound relationships, and confirm biological interactions reduce the risk of hidden errors in model training. Comprehensive domain coverageDeep training data that spans chemistry, biology, materials science, and pharmacology helps models perform across discovery workflows. Traceable provenanceLinks to peer-reviewed literature, patents, and other authoritative sources with transparent methodology make model outputs easier to audit, reproduce, and trust. |
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