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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.

What is DIVA DYNAMICS?

The DIVAâ„¢ DYNAMICS maintenance software has been expertly developed by professionals for industry practitioners, drawing on more than forty years of extensive research. It delivers precise forecasts using an algorithm-based interval management system, features a user-friendly interface, includes lifelong learning capabilities, is modular in structure, accommodates various interfaces, and is available in several languages. The software autonomously creates detailed inspection and maintenance schedules. One of its primary strengths is its ability to account for all variables impacting wear margins, such as operational times, environmental factors, stress levels, and component characteristics. Having been rigorously tested in the field, it effectively aims to reduce unexpected downtimes. Furthermore, the incorporation of our cutting-edge Personnel-Deployment-Planning module significantly boosts this goal, ensuring optimal resource allocation and enhancing operational performance. Ultimately, this software stands out as a comprehensive solution for maintenance management, blending innovation with practical efficiency.

Media

Media

Integrations Supported

PI Vision
dataPARC Historian

Integrations Supported

API Availability

Has API

API Availability

Pricing Information

Pricing not provided

Pricing Information

Pricing not provided

Supported Platforms

SaaS

Supported Platforms

SaaS
Windows

Customer Service / Support

Standard Support
Web-Based Support

Customer Service / Support

Standard Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Online Training

Company Facts

Organization Name

PreCognize

Company Location

United States

Company Website

www.precog.co

Company Facts

Organization Name

IAS MEXIS

Date Founded

1977

Company Location

Germany

Company Website

www.ias-mexis.com

Categories and Features

Maintenance Management

Technician Management

Categories and Features

Maintenance Management

Asset Tracking
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

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