19 – 20 February 2025 | Messe Dortmund

Co-located with
I-Care Deutschland GmbH

I-see™ – The AI-enhanced PdM Platform

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Beschreibung

I-see™ is I-care’s AI-enhanced, web-based predictive maintenance platform used in more than 40 countries and trusted by top global manufacturers. It centralizes your machine health data, automates diagnostics, and gives you real-time visibility into the condition of every critical asset, anywhere, anytime.

Built by PdM experts, I-see™ brings together vibration, temperature, oil analysis, ultrasound, infrared, and more, into one intuitive platform strengthened by AI-driven analytics that make reliability simple, scalable, and impactful.

Transform Data Into AI-Powered Decisions
I-see™ aggregates all your condition-monitoring technologies and process data into one secure cloud platform. Through machine-learning insights and self-diagnosis capabilities, you benefit from automated anomaly detection, smarter diagnostics, and clearer decision support.
The platform uses advanced visualization tools, spectrums, waterfalls, benchmarking, customizable dashboards, and criticality ranking to translate complex signals into AI-supported maintenance decisions your team can act on.

Plug-and-Play Predictive Maintenance
Fully compatible with the Wi-care™ wireless sensor range, I-see™ eliminates complexity. Install the sensors, and AI instantly converts data streams into early warnings, trends, and actionable insights, with no software installation or setup required.

Smarter, Faster Maintenance Decisions
With built-in FMEA logic, asset criticality assessment, failure-mode-driven tasks, and direct CMMS integration, I-see™ helps teams focus on the right asset at the right time.
AI-enhanced analysis accelerates fault detection, strengthens diagnostics, and reduces unplanned downtime.

Always Connected, Always In Control
From the Control Room dashboard to 24/7 AI-triggered SMS/email alerts, I-see™ gives reliability teams a live overview of machine health, sensor status, and alarms across one or multiple plants.

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