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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 Equipnivo?

For businesses moving equipment checks off paper and spreadsheets, Equipnivo brings an equipment register, recurring inspections, maintenance schedules and fault records together. It is designed for workshops, gyms, construction teams and other small organisations responsible for equipment. Version 1.0.2 installs on Windows or macOS, with Mac packages for Intel and Apple Silicon. Data stays on the main computer; optional access across a trusted local network allows staff to work in their device browsers. Personal PINs identify Admin and Staff users and attribute completed checks and reported faults. Inspection items support passed, problem found and unable-to-check outcomes, with explanations recorded in history. The trial covers 10 active equipment items and unlimited staff, checklists, schedules, faults and history. Equipnivo V1 is GBP £79 as a one-time purchase for one active installation, unlimited equipment and staff, and all 1.x updates. Paid activation requires internet once; routine use works offline. Installers and setup instructions are available on the official website.

Media

Media

No images available

Integrations Supported

Additional information not provided

Integrations Supported

Additional information not provided

API Availability

Has API

API Availability

Pricing Information

Pricing not provided

Pricing Information

£79 one-time
GBP £79 one-time for one active Equipnivo server installation. Includes unlimited equipment, unlimited staff and personal PIN users, and all Equipnivo 1.x updates. No subscription or per-user fees. Free trial supports up to 10 active equipment items with unlimited people, inspection checklists, maintenance schedules, faults and history. Staff browser devices on the trusted local network do not require extra licences.
Free Trial Offered?

Supported Platforms

SaaS

Supported Platforms

Windows
Mac
On-Prem

Customer Service / Support

Standard Support
Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub

Company Facts

Organization Name

Semiotic Labs

Company Location

Netherlands

Company Website

www.samotics.com

Company Facts

Organization Name

StackedThink

Company Location

United Kingdom

Company Website

equipnivo.stackedthink.com

Categories and Features

CMMS

Not specified

Equipment Maintenance

Not specified

IoT

Big Data Analytics
Data Collection
Performance Management
Visualization

Maintenance Management

Predictive Maintenance

Preventive Maintenance

Mobile Access
Predictive Maintenance
Reminders
Vendor Management

Categories and Features

Equipment Maintenance

Equipment Tracking
Maintenance Scheduling

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