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SaaS · Cloud

KRAKEN
Monitoring eXpert

AI-powered real-time asset monitoring SaaS solution.

Gain full visibility into your asset status anytime, anywhere via the cloud.






Features

KMX's 3 Core Strengths


Cloud-native architecture that enables rapid deployment and flexible scalability.

01

AI-Powered Anomaly Detection

Machine learning algorithms analyze equipment sensor data in real time to detect anomalies proactively. Beyond simple threshold-based alerts, the system learns equipment-specific patterns to deliver accurate notifications without false positives.


AI Pattern Matching Real-Time Sensor Analysis PdM Integration
02

Subscription-Based Cloud SaaS

A cloud-based subscription service that can be used instantly without a server setup. With a pay-per-use model that charges only for what you use and no upfront investment, it enables flexible operation and scalability for businesses of all sizes.


No Server Required Pay-per-use Auto-Scaling
03

Multi-Device Unified Dashboard

Monitor equipment status in real time with a consistent experience across PC, smartphone, and tablet. Even in global multi-plant environments, compare and analyze equipment status from all sites on a single dashboard.


Mobile Responsive Multi-Plant Unified View Custom KPIs
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Preview
KMX Key Screens

An intuitive interface that's easy to use for both field engineers and managers

AI-Powered Real-Time
Asset Monitoring Solution
Explore implementation options today


Our expert consultants will recommend the optimal configuration for your on-site environment at no cost.

Evaluate cost, timeline, and ROI in one place.

 AI-Powered Real-Time Asset Monitoring Solution
Explore implementation options today

Our expert consultants will recommend
the optimal configuration for your on-site environment at no cost.

Evaluate cost, timeline, and ROI in one place.

Smarterbuild

Business Registration No.   790-87-02039  ㅣ  Email  sales@smarterbuild.net


Address 
16677, 1411~1412, Factory Sector, Techtreeyoungong Knowledge Industrial Center 55, 
Sinwon-ro, Yeongtong-gu, Suwon-si, Gyeonggi-do, Republic of Korea


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