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Software Status:Active

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 Details

Vendor
Samotics
Year Launched
2015
Location
Samotics B.V. Bargelaan 200 2333 CW Leiden Netherlands
Deployment
cloud
Training Options
documentation, videos, live online
Countries Served
All Countries
Languages
English, Spanish, Italian, Portuguese
Users
Operations Specialists, Maintenance Engineers, Innovation Leaders
Industries Served
Wastewater treatment, Clean water, Steel industry, Paper mills, Chemical industry, Mining, Oil & Gas, Wind energy, Airports
Tags
Maintenance Management, SAM4

SAM4's In-App Market Place

Does SAM4 have an in-app market place?

Yes

How many Mini-Apps in the marketplace?

0

Mini Apps

Pricing Options

Free trial
Free version
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Promo Offer

Accepted Payment Currencies

USD ($), EUR (€), GBP (£), JPY (¥), AUD (A$), CAD (C$), CHF (CHF), CNY (¥), SEK (kr), INR (₹), KRW (₩), MXN (Mex$), NZD (NZ$), SGD (S$), HKD (HK$), NOK (kr), DKK (kr), RUB (₽), ZAR (R)

Pros & Cons

  • 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.
  • 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.

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