Cambridge, Mass. (PRWEB) February 18, 2014 — Cambridge Semantics, the leading provider of Unified Information Access (UIA) solutions for enterprises, today announced it has partnered with ChemAxon to provide customers with advanced chemical search and visualization capabilities.
ChemAxon’s products and services focus on adding functionality and value to chemistry information and provides cheminformatics software platforms, applications and services to optimize the value of chemistry information in life science and other R&D. Based on semantic technology, Cambridge Semantics’ Anzo software addresses a variety of enterprise data management and end-user data consumption challenges in the pharma, financial and life science industries.
With the integration, Anzo customers gain the ability to perform chemical structure searches over their existing databases that contain chemical data by directly drawing substructures as well as the ability to visualize chemical structures within their Anzo Web dashboards.
ChemAxon customers can now easily integrate other sources of data with their chemical structure data while also being able to quickly setup searchable knowledge bases and dashboards of chemical data combined with any other related data with Anzo’s easy-to-use tools.
About Cambridge Semantics
Cambridge Semantics provides the award-winning Anzo software suite, an open platform for building interactive Unified Information Access (UIA) solutions. Enterprises face an increasing need to rapidly discover, understand, combine, and act on data from diverse sources both from within and across organizational boundaries. Anzo makes it easy for both IT and end users to deal with this need by rapidly creating solutions that leverage unified access to structured and unstructured data from varied sources in the context of specific business problems.
Cambridge Semantics is privately held and based in Boston, Massachusetts. For more information visithttp://www.cambridgesemantics.com or follow us on Twitter @CamSemantics.
Original Release: PR Web
Image: Courtesy Cambridge Semantics