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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 BAE Systems?

BAE Systems' Reliability Centered Maintenance (RCM) platform provides a structured approach to improve asset management and establish safe, effective maintenance standards for complex and critical assets. The RCM Toolkit is designed to help organizations formulate a cost-effective maintenance strategy that focuses on the core causes of equipment failures, mitigates risks associated with safety, environmental concerns, and operational interruptions, while minimizing unnecessary maintenance tasks. Instead of relying primarily on preventive maintenance or reactive measures following failures, the RCM approach utilizes a systematic decision-making framework that considers risks, costs, and environmental factors, thereby extending the operational life of the equipment. This all-encompassing toolkit supports users in recognizing and expressing maintenance issues, gathering vital data, outlining equipment functions and performance criteria, identifying functional failures, analyzing failure modes, documenting the consequences of those failures, and selecting maintenance tactics based on the potential impacts of each failure. By methodically tackling these components, organizations can enhance their maintenance reliability and overall efficiency while fostering a culture of continuous improvement. Furthermore, adopting this structured methodology not only streamlines maintenance processes but also aligns them with broader organizational goals, leading to better resource utilization and sustainability.

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

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

Documentation Hub
Webinars
Online Training

Company Facts

Organization Name

PreCognize

Company Location

United States

Company Website

www.precog.co

Company Facts

Organization Name

BAE Systems

Company Location

United Kingdom

Company Website

www.baesystems.com/en/product/reliability-centered-maintenance-software

Categories and Features

Maintenance Management

Technician Management

Categories and Features

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