Uncountable
Uncountable provides an enterprise-class cloud solution that integrates data across laboratory workflows for R&D organizations in industries such as Chemicals, Pharma, and Food & Beverage, featuring predictive capabilities and visualization tools.
Services
Uncountable provides an enterprise-class cloud solution designed for global R&D organizations. The service aims to unify data across laboratory workflows, offering an integrated platform that connects disparate and dispersed data sets. The platform includes tools for data visualization and predictive capabilities, enhancing the efficiency and effectiveness of R&D operations.
Industries Served
Uncountable offers tailored solutions for multiple industries, including Chemicals, Pharma & Biotech, Advanced Materials, and Food & Beverage. The flexibility of their platform allows them to meet the specific needs of different sectors, ensuring that various R&D environments can benefit from their unified data solutions.
Trusted Partners
Uncountable's platform is trusted by several prominent companies and organizations. Notable partners include Sika, Indorama Ventures, Beiersdorf, Cabot Corporation, and St. Jude Children’s Research Hospital. These partnerships demonstrate the reliability and effectiveness of their solutions across diverse applications.
Case Studies
Uncountable features case studies on their website that highlight successful collaborations with various organizations. Examples include St. Jude Children’s Research Hospital, Natural Fiber Welding, Repsol, Carbon, and Cooper Standard. These case studies provide detailed insights into how Uncountable's solutions have been implemented to address specific R&D challenges.
Blog
Uncountable publishes a blog that covers a range of topics relevant to their field. Articles discuss subjects such as Laboratory Information Management Systems (LIMS), the benefits of replacing Excel with LIMS solutions, and strategies for accelerating chemical product development. This blog serves as a resource for current trends and best practices in R&D data management.