Redlist is a reliability centered maintenance platform that extends traditional CMMS to track at the individual lubrication point, capturing execution data your ERP was never built to collect.
Available on web, iOS, and Android with full offline capability, Redlist replaces paper lube routes, eliminates pencil-whipping, and connects oil analysis data to technicians in the field.
Lubrication Management
Point-level route execution with the right lubricant, amount, and frequency per ICML standards.
CMMS and Asset Management
Component-level asset hierarchies, work orders, PM templates, and inventory. Integrates with SAP, Oracle EAM, JDE, and Maximo.
Operator Basic Care
Guided inspections and daily tasks that capture institutional knowledge before it retires.
AI Agents
Nine agents for FMEA, RCM, oil analysis, vibration & lubrication optimization.
Serving mining, oil and gas, chemical processing, food and beverage, packaging, and manufacturing. Deployed under 100 days.
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Epicor Kinetic is a cloud-first, AI-powered ERP platform for manufacturing organizations. It includes modules for financial management, supply chain, production management, inventory, quality, service, analytics, project management, CRM, and compliance. Built for discrete, make-to-order, engineer-to-order, and mixed-mode manufacturers, Kinetic supports planning and scheduling, materials management, shop floor coordination, and multi-site operations in one system. The platform provides browser-based access, role-based workflows, integration and extensibility tools, IIoT-related capabilities, and support for cloud, on-premises, and hybrid deployment. Epicor Prism extends the platform with AI-supported automation and decision support for selected ERP tasks.
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AQChemSim
AQChemSim is a cloud-native platform developed by SandboxAQ that leverages Large Quantitative Models (LQMs) grounded in physics and chemistry to revolutionize materials discovery and optimization. By integrating Density Functional Theory (DFT), Iterative Full Configuration Interaction (iFCI), Generative AI, Bayesian Optimization, and Chemical Foundation Models, AQChemSim enables high-fidelity simulations of molecular and material behaviors under real-world conditions. AQChemSim's capabilities include predicting performance under various stresses, accelerating formulation through in silico testing, and exploring sustainable chemical processes. Notably, AQChemSim has demonstrated significant advancements in battery technology by reducing lithium-ion battery end-of-life prediction time by 95%, achieving 35x greater accuracy with 50x less data.
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