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What is SAM4?

Minimize unexpected downtime in AC motors and rotating machinery by employing electrical waveform analysis, which allows us to predict over 90% of potential failures as much as five months in advance. This method supports predictive maintenance designed for maintenance professionals, helping them focus their limited resources on the equipment that truly needs attention. With the SAM4 system, maintenance teams are equipped to initiate interventions solely when an emerging fault is detected, ensuring quicker responses through immediate fault diagnostics. Once an issue is identified, SAM4 accurately locates the precise fault, enabling the maintenance crew to tackle the underlying problem directly without the need for an exhaustive inspection of the entire asset. Experience success where previous predictive maintenance efforts may have struggled, as SAM4 offers an accuracy level that exceeds traditional vibration-based methods by 20% and is also faster and more cost-effective to implement and maintain. In addition, SAM4's ability to identify over 90% of failures demonstrates that it is up to 50% more accurate than previously used vibration-based solutions, significantly improving your overall maintenance strategy. Ultimately, this innovative approach not only enhances efficiency but also contributes to prolonged equipment lifespan and reduced operational costs.

What is PreCognize?

In a highly interconnected process industry characterized by a lack of historical data, the challenge of unpredictable failures remains ever-present. Our all-encompassing monitoring solution effectively detects quality issues, equipment breakdowns, operational deviations, and unusual process activities. Instead of wading through a sea of false alarms, we refine this to provide no more than five significant alerts each day. This system enables advanced warnings of potential failures, with notifications issued anywhere from a week to just 24 hours in advance, thereby preventing unexpected interruptions during off-peak hours. By focusing on proactive and scheduled maintenance, we not only boost operational efficiency but also significantly lower costs. The distinct requirements of industrial assets call for a creative strategy; we expertly combine your team's knowledge with cutting-edge machine learning technologies to establish a customized predictive monitoring framework. Using your current sensors and data, the setup is quick; within two weeks, a process engineer can map out the plant's structure and functions, after which the software becomes fully functional, laying the groundwork for enhanced reliability and performance. This swift implementation guarantees that your operations can rapidly reap the rewards of improved monitoring capabilities, ultimately fostering a more resilient industrial environment.

Media

Media

Integrations Supported

PI Vision
dataPARC Historian

Integrations Supported

PI Vision
dataPARC Historian

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Semiotic Labs

Company Location

Netherlands

Company Website

www.samotics.com

Company Facts

Organization Name

PreCognize

Company Location

United States

Company Website

www.precog.co

Categories and Features

CMMS

Asset Tracking
Calibration Management
Inventory Control
Key & Lock Management
Mobile Access
Preventive Maintenance
Purchasing
Scheduling
Service History Tracking
Technician Management
Work Order Management

Equipment Maintenance

Customer Database
Dispatch Management
Equipment Tracking
Inventory Control
Job Management
Maintenance Scheduling
Warranty Tracking
Work Order Management

IoT

Application Development
Big Data Analytics
Configuration Management
Connectivity Management
Data Collection
Data Management
Device Management
Performance Management
Prototyping
Visualization

Maintenance Management

Asset Tracking
Billing & Invoicing
Calibration Management
Dispatch Management
Inventory Control
Inventory Management
Key & Lock Management
Mobile Access
Planning Calendar
Predictive Maintenance
Preventive Maintenance
Purchasing
Scheduling
Service History Tracking
Technician Management
Work Order Management

Preventive Maintenance

Condition Monitoring
Inspection Management
Maintenance Scheduling
Mobile Access
Predictive Maintenance
Purchasing
Reminders
To-Do List
Vendor Management
Work Order Management

Categories and Features

Maintenance Management

Asset Tracking
Billing & Invoicing
Calibration Management
Dispatch Management
Inventory Control
Inventory Management
Key & Lock Management
Mobile Access
Planning Calendar
Predictive Maintenance
Preventive Maintenance
Purchasing
Scheduling
Service History Tracking
Technician Management
Work Order Management

Preventive Maintenance

Condition Monitoring
Inspection Management
Maintenance Scheduling
Mobile Access
Predictive Maintenance
Purchasing
Reminders
To-Do List
Vendor Management
Work Order Management

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