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Description
Pronto AI is an enterprise asset management solution designed for manufacturers and growing businesses that need better control over equipment, maintenance, inventory, and compliance processes. The platform uses artificial intelligence to predict equipment issues before they become costly failures, helping teams reduce downtime and plan maintenance more effectively. Businesses can centralize asset records, automate maintenance schedules, manage resources, track inventory, and generate reports for audits from one system. Pronto AI helps eliminate manual data entry by replacing spreadsheets and fragmented tools with real-time dashboards and automated workflows. Its AI asset assistant provides quick answers about equipment status, maintenance history, inventory levels, and operational records. Teams can use the mobile app to scan barcodes, access asset information offline, approve work orders, and receive maintenance alerts on the go. The platform supports both IT and non-IT assets, making it useful for managing physical equipment across multiple sites. With predictive reports, full audit logs, access controls, and multilingual support, Pronto AI is built for scalable operations. By improving visibility, reducing manual work, and supporting proactive maintenance, Pronto AI helps manufacturers run safer, smarter, and more efficient facilities.
Description
A comprehensive solution for monitoring and predictive analysis can enhance equipment condition tracking and streamline maintenance and repair processes. This involves utilizing predictive analysis to ensure production process quality and assess potential risks of exceeding maximum permissible loads through detailed unit operation evaluations. By implementing predictive analysis of unit conditions, emergency shutdowns can be effectively minimized. Furthermore, evaluating the quality of repair work by comparing equipment performance before and after servicing is critical for continuous improvement. The integration of automatic controls for manual repair and maintenance tasks enables efficiency and accuracy in operations. Additionally, predictive analysis aids in strategic maintenance and repair decisions while facilitating informed purchases of new equipment based on intelligent load balancing of current assets. Spare parts and consumables can also be optimized through intelligent failure predictions, reinforcing a proactive approach to equipment management. Overall, this solution supports a robust framework for enhancing operational reliability and efficiency.
API Access
Has API
API Access
Has API
Screenshots View All
No images available
Integrations
No details available.
Integrations
No details available.
Pricing Details
$20/month
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
Digimonk Technologies
Founded
2016
Country
India
Website
prontoapp.ai/
Vendor Details
Company Name
Ctrl2GO Global
Country
Russia
Website
ctrl2go.solutions/en/solutions/smart-maintenance/
Product Features
EAM
CMMS
Energy Management
Equipment Management
Facility Management
IT Asset Management
Inventory Management
Maintenance Management
Parts Management
Preventive Maintenance Scheduling
Software License Management
Warranty Management
Work Order Management
Product Features
EAM
CMMS
Energy Management
Equipment Management
Facility Management
IT Asset Management
Inventory Management
Maintenance Management
Parts Management
Preventive Maintenance Scheduling
Software License Management
Warranty 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
