SAM4 logo

SAM4

by Samotics · Since 2015
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ActiveAvailable globallyCloud
Quick facts
VendorSamotics
Year launched2015
StatusActive
LocationSamotics B.V. Bargelaan 200 2333 CW Leiden Netherlands
Countries servedGlobal
Languages4
Integrations
Free tier
Free trial
Contact salesYES

About SAM4

SAM4 is a predictive maintenance software from Samotics that monitors and analyzes industrial equipment performance. It combines data analytics, real-time monitoring, and machine learning to help prevent unexpected failures and reduce downtime. By providing insights into equipment health, SAM4 enables users to make informed maintenance decisions. The software utilizes advanced algorithms to detect anomalies in performance metrics and provide actionable recommendations. Key capabilities: predictive analytics real-time alerts performance benchmarking customizable dashboards integration with existing systems Best for: maintenance teams that need to improve equipment reliability and extend asset lifespan.

SAM4 Health emerges as a promising solution in the realm of predictive maintenance, leveraging AI to proactively identify and address potential equipment failures before they escalate into costly downtime. Its core value proposition lies in minimizing unplanned interruptions, optimizing maintenance schedules, and enhancing safety by providing real-time insights into the health of critical assets like motors, pumps, and fans. The system's strength lies in its ability to monitor the entire drivetrain, from the electrical supply to the driven load, using a combination of sensor data and sophisticated AI-driven analysis. This comprehensive approach allows SAM4 Health to detect a wide range of faults, both electrical and mechanical, offering a holistic view of the asset's condition. One of the standout features of SAM4 Health is its use of electrical signature analysis. This technique delves into the intricacies of the electrical signals powering the equipment, uncovering subtle anomalies that might indicate developing problems.

Pros & Cons

What users like
  • +Non-invasive installation with sensors placed inside the motor control cabinet.
  • +Detects both mechanical and electrical failures across the entire drivetrain.
  • +Ideal for monitoring submerged, hard-to-reach, and hazardous assets.
  • +Predicts over 90% of failures in advance, reducing unplanned downtime.
  • +Provides energy efficiency insights to optimize asset performance.
What users flag
  • Requires a stable internet connection for continuous monitoring.
  • Does not directly monitor temperature or lubrication conditions.
  • Potential additional costs for integrations with external systems.
  • Limited visibility for assets without electrical signature analysis compatibility.
  • May require training for teams unfamiliar with predictive maintenance systems.

Features

Key features

1. Easy and quick installation inside the motor control cabinet.
2. Real-time machine condition monitoring to detect anomalies early.
3. AI-powered predictive analytics to forecast failures in advance.
4. Clear maintenance recommendations based on detected faults.
5. Remote monitoring for submerged, hard-to-reach, and hazardous zone assets.

Additional features

1. Power quality monitoring to detect harmonic distortions and voltage imbalances.
2. Detection of mechanical and electrical faults across the drivetrain.
3. Pump performance analysis to evaluate efficiency and detect clogging.
4. Predictive alerts for timely notifications about imminent failures.
5. Condition-based maintenance to optimize resource allocation.

Pricing

Free trial
Free version
Request a quote
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Countries & Languages

Global
Countries served
4
Interface languages
19
Billing currencies

Interface languages

EnglishSpanishItalianPortuguese

Billing currencies

🇺🇸USD🇪🇺EUR🇬🇧GBP🇯🇵JPY🇦🇺AUD🇨🇦CAD🇨🇭CHF🇨🇳CNY🇸🇪SEK🇮🇳INR🇰🇷KRW🇲🇽MXN🇳🇿NZD🇸🇬SGD🇭🇰HKD🇳🇴NOK🇩🇰DKK🇷🇺RUB🇿🇦ZAR

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