Epicor Kinetic
Epicor Kinetic is a cloud-first, AI-powered ERP platform for manufacturing environments that require a connected system for transactional, operational, and reporting workflows. The platform supports finance, supply chain, production, inventory, quality, service, analytics, project management, governance and compliance, and global business management. Functional coverage includes planning and scheduling, materials management, shop floor coordination, product management, CRM, field service, electronic reporting, and enterprise content management. Kinetic provides browser-based access, role-based workflows, integration and extensibility tools, IIoT-related capabilities, and deployment options for cloud, on-premises, or hybrid architectures. It can integrate with listed third-party systems for payroll, tax, labeling, procurement, warehouse processes, data capture, and quality workflows, including ADP Workforce Now, Avalara, BarTender, Sage, SourceDay, and Sovos. Epicor Prism adds AI-supported automation and decision support for selected workflows. Kinetic also supports operations across the Americas, EMEA, and APAC and is available in multiple languages, which can matter for distributed manufacturing organizations with regional or multinational requirements.
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SDS Manager
SDS Manager is a premier provider of SDS Management solutions, featuring one of the world’s largest SDS databases with over 14 million Safety Data Sheets in 25 languages.
With SDS Manager, employees can access essential SDS information directly from their mobile devices by simply scanning QR code posters in work areas where chemicals are used. This seamless mobile access promotes both safety and regulatory compliance.
Our automated data extraction feature lets you effortlessly add SDS files to your library without any manual typing, significantly improving accuracy and streamlining SDS management. Keep your SDS library updated, organized, and ready for quick access in a secure cloud environment.
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BIOVIA COSMO-RS
BIOVIA COSMO-RS serves as an extensive toolkit for modeling and forecasting fluid phase characteristics, which empowers professionals such as chemical engineers, chemists, formulation experts, and materials scientists to innovate and develop solutions more rapidly and effectively than relying solely on traditional testing and experimentation methods, thereby enhancing innovation while minimizing costs. The simulations conducted using COSMO-RS are grounded in a solid scientific framework, guaranteeing dependable predictions across the entire spectrum of liquid-state chemistry. By employing a first-principle methodology, it is capable of forecasting the properties of new compounds that have yet to be synthesized, pushing the boundaries of known chemical territory. The team behind BIOVIA consists of the original creators of COSMO-RS, providing prompt assistance and unparalleled expertise to tackle even the most complex challenges in solution thermodynamics. Additionally, the primary advantages encompass a solid scientific basis that merges quantum chemistry with thermodynamics to assure both accuracy and reliability, fostering a deeper understanding of fluid behaviors in various contexts. This comprehensive approach not only streamlines the research process but also opens up new avenues for exploration within the field.
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Aurora Drug Discovery
Aurora utilizes principles of quantum mechanics and thermodynamics alongside a sophisticated continuous water model to assess the solvation effects on ligand binding affinities. This methodology is significantly different from the traditional scoring functions typically employed for predicting binding affinities. By integrating entropy and aqueous electrostatic contributions directly into the computations, Aurora's algorithms yield far more precise and reliable binding free energy values. The interaction between a ligand and a protein is fundamentally defined by the binding free energy value. This free energy (F) serves as a thermodynamic measure that correlates directly with the experimentally determined inhibition constant (IC50), influenced by factors such as electrostatic interactions, quantum effects, aqueous solvation forces, and the statistical characteristics of the molecules involved. Non-additivity in F arises primarily from two key components: the electrostatic and solvation energy, and the entropy, which together contribute to the complexity of ligand-protein interactions. Understanding these contributions is essential for the accurate prediction of binding affinities in drug design and molecular biology.
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