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Samotics — AI for Manufacturing & Industrial

Monitor critical industrial assets that vibration sensors can't reach, directly from the motor control cabinet.

Uses Electrical Signature Analysis (ESA) to predict mechanical, electrical, and load-side faults before they cause downtime.

What is Samotics?

Samotics: Monitor critical industrial assets that vibration sensors can't reach, directly from the motor control cabinet. No free plan. Zekai scores it 8.6 out of 10 after independent testing. Best for monitoring inaccessible, motor-driven industrial assets.

DifferentiatorUses Electrical Signature Analysis (ESA) from the motor cabinet, not sensors on the machine.
Proof95.5% fault recall rate; £10M+ benefit reported by Yorkshire Water.
Explore Samotics
Pricing on request
8.6 Zekai
Monitor the unmonitorable.
AI for Manufacturing & Industrial
Ease of Use
8.4
Accuracy
9.2
Value
8.2
Time Saving
8.4
7,000+ assetsUsers
8.6/10Zekai Score
Predictive MaintenanceElectrical Signature AnalysisRemote MonitoringAsset ManagementEnergy Optimization
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Zekai Verdict

What is it?
Samotics provides cabinet-based condition monitoring for industrial assets.
Best for
Best for continuously monitoring the health of hard-to-access rotating equipment like submerged pumps, enclosed…
Not ideal for
Only applicable to AC motor-driven equipment.
Price
Pricing on request
Zekai Score
8.6/10
Hand-scored by Zekai

Top AI for Manufacturing & Industrial picks

See all 92 AI tools for Manufacturing →
⚡ Quick answer

For Manufacturing & Industrial professionals, Samotics is the best AI solution for predictive maintenance on hard-to-monitor, motor-driven assets. It uses Electrical Signature Analysis (ESA) from the motor control cabinet, making it ideal for submerged pumps, enclosed drives, or equipment in hazardous zones where traditional vibration sensors are impractical. With a proven 95.5% fault recall rate and case studies showing multi-million dollar savings, it provides actionable alerts that prevent costly unplanned downtime.

CategoryPredictive Maintenance
Best forMonitoring inaccessible, motor-driven industrial assets.
Price fromOn request
Free planNo
DifferentiatorUses Electrical Signature Analysis (ESA) from the motor cabinet, not sensors on the machine.
Proof95.5% fault recall rate; £10M+ benefit reported by Yorkshire Water.
Rating8.6/10
📖 About Samotics
How It Works

Your workflow, automated

1
Install Hardware in Motor Cabinet
Clip current transformers and connect voltage taps inside the motor control cabinet in under 60 minutes, with no modifications to the asset.
2
Analyze Electrical Signatures
The SAM4 platform continuously analyzes current and voltage data, using AI to detect patterns indicating mechanical or electrical faults.
3
Receive Actionable Alerts
Get engineer-vetted alerts detailing the fault type, severity, and recommended action, pushed directly to your CMMS or dashboard.
Ready to automate your workflow with Samotics?
Explore Samotics →
Real Impact

Before & After

❌ Before

Critical submerged pumps and enclosed conveyors fail unexpectedly because they're impossible to monitor with traditional sensors.

High unplanned downtime
✅ After

Get early warnings for developing faults on all critical assets, allowing for planned maintenance and eliminating surprise downtime.

95.5% fault detection rate
Prompt Templates

Try it with these prompts

Copy any prompt and paste it directly into the tool.

Detect motor bearing degradation

Analyze the electrical signature of my [motor type] to detect early signs of bearing degradation. Identify specific patterns in current and voltage that indicate [type of bearing issue] and suggest maintenance actions…

Identify pump cavitation

Monitor the electrical data from my [pump model] to identify signs of cavitation. Look for anomalies in the current and voltage waveforms that correlate with cavitation and provide an assessment of its severity.

Assess conveyor belt health

Evaluate the electrical signature of my [conveyor system name] to assess the health of the conveyor belt and its associated motor. Detect any developing faults such as [specific fault like imbalance or misalignment]…

AI Prompts

Prompts for Manufacturing

Prompt 01 Generate a Shift Handoff Report
Act as a Plant Production Supervisor. Generate a concise shift handoff report for the end of the day shift on [[Date]]. Use the following template and information: - **Shift:** Day Shift (07:00 - 15:00) - **Production Line:** [[e.g., CNC…
Prompt 02 Draft a Daily Production Meeting Agenda
Generate a 15-minute daily production meeting agenda for tomorrow, [[Date]]. The focus is on reviewing yesterday's performance and setting today's priorities for the assembly department. Include these specific talking points: 1.
Prompt 03 Draft a Non-Conformance Report (NCR)
Act as a Quality Engineer. Draft a Non-Conformance Report (NCR) based on the following details. Structure it for an ISO 9001 compliant system. - **Part Number:** [[e.g., F-451-B]] - **Part Name:** [[e.g., Bearing Housing]] - **Quantity…
See all 17 AI prompts for Manufacturing →
Social Proof

Trusted by 7,000+ assets

7,000+ assets professionals using this tool
Ease of Use
8.4
Accuracy
9.2
Value
8.2
Time Saving
8.4
7,000+ assets+ professionals are already using this tool.
See Plans & Pricing →
Connects With

Samotics integrations

SAP PM IBM Maximo Other CMMS platforms via REST API SCADA systems via MQTT
Setup complexity: Expert Required
Samotics provides cabinet-based condition monitoring for industrial assets. It uses Electrical Signature Analysis (ESA) on AC motors to detect developing faults in submerged, enclosed, or hazardous-area equipment, turning electrical data into actionable maintenance tasks to prevent unplanned downtime.
Comparison

Best Samotics alternatives

Samotics vs. Vibration Monitoring: Choose Samotics when assets are inaccessible, submerged, enclosed, or in hazardous zones where mounting vibration sensors is impractical or unsafe. Its Electrical Signature Analysis (ESA) excels at monitoring the entire motor-driven system from the cabinet. Opt for traditional vibration analysis for assets where direct sensor mounting is feasible and high-frequency fault detection is the primary goal. The two are complementary; Samotics fills the 'monitoring blind spot' that vibration analysis can't reach.

The decision

Is Samotics worth it?

Return on investment
Based on customer case studies, deploying Samotics can deliver over 800% ROI within the first year by preventing critical failures and avoiding unplanned downtime costs.
Built for
Reliability Engineers, Maintenance Managers, and Plant Managers in asset-heavy industries like Water & Wastewater, Metals & Mining, Oil & Gas, and Chemicals.
Effort to adopt
Expert Required
Compliance
Samotics is certified for ISO 27001 (Information Security) and ISO 9001 (Quality Management), and is aligned with the NIS2 directive for cybersecurity.
Who It's For

Why Manufacturing & Industrial choose this tool

🎯
Built for
Best for continuously monitoring the health of hard-to-access rotating equipment like submerged pumps, enclosed conveyors, and ATEX-zone motors.
In-Depth Overview
For industrial professionals, up to 40% of critical assets represent a 'monitoring blind spot' because they are submerged, enclosed, or in hazardous zones where traditional vibration sensors are impractical. Samotics directly addresses this by turning the AC motor itself into a sensor. Its Electrical Signature Analysis (ESA) technology captures current and voltage data from the safety of the motor control cabinet, detecting subtle electrical 'fingerprints' of developing mechanical and electrical faults. The system's credibility is backed by a 95.5% recall rate on confirmed fault events and a low 2.1% post-review false-alert rate, ensuring maintenance teams aren't chasing ghosts. Unlike systems that produce raw data, Samotics delivers engineer-vetted alerts with a clear diagnosis, severity level, and recommended action. This is proven in the field with clients like Yorkshire Water realizing over £10M in benefits and Nyrstar achieving an 800% ROI in 11 months by avoiding over €1M in costs. The partnership with ABB, embedding Samotics' ESA into its drives, further validates this as a reliable method for predictive maintenance.

Key Use Cases

🏭
Prevent unplanned downtime on critical pumps
Maintenance Manager
Continuously monitor a fleet of submerged sewage pumps without costly manual inspections or confined space entry. Receive early warnings for bearing degradation or blockage.
Zero unplanned downtime reported by Schiphol Airport
⚙️
Gain visibility into harsh-environment assets
Reliability Engineer
Monitor conveyors and crushers in a hot, dusty steel mill where vibration sensors are impractical. Use ESA data to diagnose developing faults and schedule proactive repairs.
€1M+ in costs avoided at Nyrstar
📈
Optimize energy consumption across the plant
Plant Manager
Use the platform's Energy & Operational Intelligence to track efficiency losses and performance drift in large motors. Identify opportunities for operational improvements and energy savings.
£10M+ benefit identified by Yorkshire Water
✓ Pros
Monitors inaccessible assets (submerged, enclosed, ATEX).
High accuracy with 95.5% fault recall and low 2.1% false-alert rate.
Provides actionable maintenance recommendations, not just raw data.
Fast installation (<60 mins) without modifying the asset itself.
Proven ROI with major industrial clients (e.g., Yorkshire Water, Nyrstar).
· Cons
Only applicable to AC motor-driven equipment.
Effectiveness is asset-dependent, requiring an initial 'asset fit review'.
Does not replace vibration analysis for all fault types or assets.
Pricing is not transparent and requires a custom quote.
⚡ Editorial Verdict

Samotics offers a powerful solution for a persistent problem in industrial maintenance: monitoring inaccessible but critical assets. By analyzing electrical signatures from the motor cabinet, it provides early warnings where vibration sensors can't go. The main trade-off is its specificity; it's not a universal replacement for all condition monitoring but a targeted tool for motor-driven systems, requiring a careful 'asset fit' review before deployment.

Questions & Answers

Frequently asked questions

What is Electrical Signature Analysis (ESA)?

+
ESA reads current and voltage waveforms at the motor control cabinet. Samotics analyzes these signals to detect patterns linked to electrical, mechanical, and operational faults across the entire motor-driven system, without mounting sensors on the machine.

What is the best AI tool for predictive maintenance on submerged pumps?

+
Samotics is a leading choice for submerged pumps because its ESA technology monitors from the electrical cabinet, avoiding the need for sensors in wet wells or other inaccessible locations. It provides continuous monitoring where methods like vibration analysis are impractical.

Can AI predict motor failure in hazardous environments?

+
Yes. Samotics is designed for this purpose. By installing hardware in the safe motor control cabinet, it can monitor motors and driven equipment operating in hazardous (e.g., ATEX) zones without requiring expensive, specialized field sensors or risky manual inspections.

How can I reduce false alerts from my condition monitoring system?

+
Samotics addresses this by having its reliability engineers review ambiguous detections before they reach your team. This results in a very low post-review false-alert rate of 2.1%, ensuring your team only acts on high-confidence, actionable insights.

How long does it take to install Samotics?

+
Installation typically takes under 60 minutes per asset. It involves clipping current transformers and making voltage connections inside the motor control cabinet, requiring only a short de-energization of the cabinet, not the entire process.

What are the alternatives to vibration analysis for industrial equipment?

+
Electrical Signature Analysis (ESA), the technology used by Samotics, is a primary alternative and complement to vibration analysis. It is most effective for motor-driven systems that are difficult to access, while other methods include acoustic analysis, thermal imaging, and oil analysis.

Last reviewed:

Plans & Pricing

Samotics pricing and plans

Prices and features are updated regularly but can change at any time — always confirm on the official website. Some links on this page are affiliate links.

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Free guide

Take it with you

Getting Started with Cabinet-Based Monitoring
  • What is Electrical Signature Analysis (ESA)?
  • Identifying Your 'Monitoring Blind Spots'
  • Key Faults Detected by ESA (Mechanical & Electrical)
  • Preparing for an Asset Fit Review
  • Integrating ESA Alerts into Your CMMS
+4 more steps inside the guide
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AI Directory

About Samotics

Full Description

Samotics provides cabinet-based condition monitoring for industrial assets. It uses Electrical Signature Analysis (ESA) on AC motors to detect developing faults in submerged, enclosed, or hazardous-area equipment, turning electrical data into actionable maintenance tasks to prevent unplanned downtime.

Editorial Verdict

Samotics offers a powerful solution for a persistent problem in industrial maintenance: monitoring inaccessible but critical assets. By analyzing electrical signatures from the motor cabinet, it provides early warnings where vibration sensors can't go. The main trade-off is its specificity; it's not a universal replacement for all condition monitoring but a targeted tool for motor-driven systems, requiring a careful 'asset fit' review before deployment.

Last reviewed:
Disclaimer
Zekai is an independent AI tools directory. We are not affiliated with, endorsed by, or officially connected to Samotics unless clearly stated. All product names, logos, and brands are the property of their respective owners and are used for identification purposes only. The information on this page — including pricing, features, and availability — is general information, may have changed since our last review, and is not professional advice. Zekai Scores and verdicts are our editorial opinion. Some outbound links are affiliate links that may earn us a commission at no extra cost to you. Spotted outdated or incorrect information? Request a correction →
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