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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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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mindzie
mindzie is a process intelligence platform built on three modules that work together. Process Mining discovers how work actually runs from your system event logs, exposing every variant, rework loop and bottleneck. Task Mining captures desktop activity to reveal the manual work in between the systems. Business Process Modeling designs and governs BPMN 2.0 models, then checks them against how the process really runs.
Around those three sit object centric process mining, simulation, built in ETL and system connectors, process monitoring with AI predictions, an AI Copilot for natural language analysis, and AI agents that act on real process context.
Deploy three ways: Cloud Edition (SaaS) for a fully managed rollout, On-Premises Edition for banking, healthcare, government and other regulated industries that need data to stay inside their own infrastructure, and a free Desktop Edition for analysts and consultants who want to work locally.
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