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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Interfacing’s Integrated Management System (IMS) is an AI-powered platform that unifies BPM, QMS, Document Control, and GRC into one platform. Organizations use IMS to model and automate processes, control documents, manage risks, and maintain regulatory compliance with full traceability and audit readiness.
Built for highly regulated sectors such as aerospace, life sciences, finance, and government, IMS provides real-time visibility, automated workflows, and AI-driven insights that improve quality and reduce operational risk. The platform is ISO 27001 certified and fully validated for 21 CFR Part 11, making it suitable for mission-critical environments requiring strong governance, security, and control. IMS also includes low-code automation, process mining, audit management, training tracking, CAPA workflows, and dashboards to help teams streamline operations and continuously improve. AI strengthens governance, improves accuracy, and reinforces regulatory control.
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IBM Process Mining
IBM Process Mining enables organizations to identify the business processes that may benefit most from automation by using business system data to create and visualize an end-to-end process to uncover derivations, bottlenecks, and inefficiencies that are hidden in business processes. IBM Process Mining provides users an objective view to analyze business processes, identify areas to focus automation initiatives and create what-if scenarios on prioritizing automation projects. As a foundational capability of IBM Cloud Paks for Automation, IBM Process Mining finds the best process candidates for automation, calculates expected ROI, and shows the impact of automation initiatives on the entire process before implementation. Apply data analysis patterns to discovered processes, visually verifying metrics like frequency, duration, cost, compliance and conformance with advanced data visualizations on custom drag-and-drop dashboards.
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