Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
PlantOS Prescriptive AI, created by Infinite Uptime, is an advanced industrial intelligence platform designed to enhance the reliability of equipment, operational efficiency, and energy performance in manufacturing plants through insights derived from AI-based maintenance and optimization. By integrating cutting-edge sensing technology with tailored artificial intelligence models specific to the industry, along with human expertise, it allows for continuous real-time monitoring of machinery and production processes. Utilizing specialized MEMS and piezoelectric sensors, the system captures intricate operational data from essential equipment, including motors, mills, and compressors, even in challenging industrial settings characterized by high temperatures or very slow rotational speeds. The collected data is processed using prescriptive AI models that focus on industry-specific failure trends, allowing the platform to identify subtle performance indicators that may signal impending mechanical issues or inefficiencies. This proactive approach not only minimizes downtime but also optimizes overall operational performance, ensuring that manufacturing processes run smoothly and effectively.
Description
In an interconnected process industry where historical data is scarce, the unpredictability of failures is a constant challenge. Our comprehensive monitoring solution identifies quality concerns, equipment malfunctions, deviations in operational modes, and irregular process behaviors. Rather than sifting through countless false alarms, we streamline this to deliver a maximum of five meaningful alerts daily. This allows for advance notifications of potential failures, ranging from a week to just 24 hours before they occur, eliminating unexpected disruptions during off-hours. Emphasizing proactive and planned maintenance not only enhances operational efficiency but also reduces costs. The unique demands of industrial assets necessitate an innovative approach; we seamlessly integrate your team's expertise with advanced machine learning technologies to create a tailored predictive monitoring system. With your existing sensors and data, implementation is swift; it only takes two weeks for a process engineer to outline the plant's structure and behavior, after which the software will be fully operational, paving the way for improved reliability and performance. This rapid deployment ensures that your operations will benefit quickly from enhanced monitoring capabilities.
API Access
Has API
API Access
Has API
Integrations
PI Vision
dataPARC Historian
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
No price information available.
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
Infinite Uptime
Founded
2016
Country
United States
Website
www.infinite-uptime.com/plantos-prescriptive-ai/
Vendor Details
Company Name
PreCognize
Country
United States
Website
www.precog.co
Product Features
Manufacturing Intelligence
Aggregation
Analysis
Contextualization
KPIs
Propagation
Visualization
Product Features
Maintenance Management
Asset Tracking
Billing & Invoicing
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
Preventive Maintenance
Condition Monitoring
Inspection Management
Maintenance Scheduling
Mobile Access
Predictive Maintenance
Purchasing
Reminders
To-Do List
Vendor Management
Work Order Management