New artificial intelligence-enabled solution from CAS transforms patent office workflow, cuts examination times in half, speeds customer service, and reduces patent backlogs.
CAS Partnership with INPI Brazil Demonstrates AI Success in Increasing Examiner Productivity
iuvo BioScience Uses Improved Data to Accelerate Product Development for Clients
Read how iuvo BioScience teamed with CAS IP Services to help clients move new products from research to release faster, and at a lower cost.
ICL Discovers New Uses for Waste Compounds with Better Data Connections
Repurposing chemicals requires first uncovering the right insights from vast amounts of research. This case study shows how CAS enabled the efficient discovery of application leads for 75% of ICL’s target byproduct compounds.
SciFinderⁿ Case Study - Konishi Chemical Industry Co.
This case study features Konishi Chemical Industry Co. Ltd., a chemical research and development company based in Koizaka, Japan, and how they use SciFinderⁿ to speed up their science to develop profitable solutions in an ever changing market.
Toray Industries unlocks new value from data with CAS Knowledge Management Training
A strong data platform enables valuable R&D data to be integrated where and when it is needed. Yet, managing scientific data requires expertise. Researchers at a leading materials organization learned key principles of data management through specialized training at CAS.
Curated Training Sets for Innovative AI Predictions
Utilizing only internal data can lead to the lack of specific electronic, structure and device properties required to generate innovative machine learning predictions. Learn how one company turned to custom-curated data to expand a limited view of the scientific landscape.
Driving Innovation with Data: Preserving Brazil’s Biodiversity
In this case study, learn how CAS collaborated with natural product researchers in Brazil to build an accessible data collection, representing over 54,000 substances from Brazilian biodiversity.
Improved Data Integrity Enhances R&D Efficiency
Data silos compromise the value of digital assets and decrease efficiency. See how one company projected an annual savings of over $800,000 through harmonization and standardization of internal data.
Impact of Data Quality on Machine Learning Results
Enhancing the quality of the input data alone, without changing the algorithm, impacts prediction accuracy of an algorithm designed to assess the biological activity of compounds relative to different targets.