Tractian is the Industrial Copilot for maintenance and reliability, providing a cutting-edge platform designed to prevent unplanned downtime, boost operational efficiency, and enhance maintenance capacity.
Trusted by global brands such as Bosch, Kraft Heinz, Carrier, Hyundai, Johnson Controls, and P&G, Tractian combines condition monitoring, energy efficiency, and a CMMS into a comprehensive, mobile-first solution. With Tractian, you can:
Monitor real-time vibration, temperature, runtime, and RPM across critical assets
Get real-time alerts and detailed diagnostics to address potential issues before they lead to failures
Digitize workflows for streamlined work order management, planning & scheduling, and materials management
Optimize energy consumption for improved sustainability and cost savings
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The Asset Guardian (TAG) Mobi, an AI-powered EAM solution embedded in Microsoft Dynamics 365 Business Central, now enhanced with mobiMentor AI to help maintenance teams maximize wrench time.
TAG Mobi helps teams manage assets, schedule maintenance, dispatch work orders, and complete field work from one mobile-ready platform. With IoT and SCADA integration, teams can turn asset signals into maintenance action by monitoring conditions, reducing alert noise, and triggering work orders when issues need attention.
Key features include:
• Asset Lifecycle Management: Extend equipment life
• Preventive & Predictive Maintenance: Reduce failures and downtime
• Work Order Management: Simplify dispatch, tracking, and completion
• Reporting: View KPIs, costs, and performance
• IoT Monitoring: Connect asset signals to alerts and work orders
With AI-driven workflows and voice-enabled execution, TAG Mobi helps teams spend less time on admin work and more time maintaining critical assets
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RemoteAware GenAI Analytics Platform
RemoteAware™ GenAI Analytics Platform for IoT transforms complex streams of sensor and device data into clear, actionable insights using advanced generative AI models. It ingests and normalizes high‑volume, heterogeneous IoT data, whether from edge gateways, cloud APIs, or remote assets, and applies scalable AI pipelines to detect anomalies, forecast equipment failures, and generate prescriptive recommendations in plain‑language narratives. Through a unified, web‑based dashboard, users gain real‑time visibility into key performance indicators, customizable alerts and threshold‑based notifications, and dynamic drill‑down capabilities for time‑series analysis. The platform’s generative summary reports condense vast datasets into concise operational briefs, while its root‑cause analysis and what‑if simulations guide preventive maintenance and resource allocation.
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