Augury
Uptime: AI-Driven Insights to Optimize Industrial Production
Summary
This case study demonstrates how industrial manufacturers leveraged Augury’s AI-driven machine and process health solutions to reduce downtime, improve capacity, and enhance safety and sustainability....
Value Drivers
Challenges
- Unplanned downtime and high MRO (Maintenance, Repair, and Operations) costs
- Lack of real-time visibility into operations
- Difficulty in scaling current infrastructure
- High operational costs due to legacy systems
- Poor data integration across departments
- Limited automation capabilities
- Inconsistent reporting and analytics
- Security vulnerabilities in existing systems
7 more challenges available
Solutions
- Deployment of Augury’s AI-powered Machine Health and Process Health platforms
- Deployed real-time monitoring and analytics platform
- Migrated to cloud-based scalable infrastructure
- Modernized legacy systems with new technology stack
3 more solutions available
Outcomes
- Significant reduction in unplanned downtime and associated costs
- Achieved 24/7 real-time visibility and monitoring
- Successfully scaled operations to support 3x growth
- Decreased operational costs by 40% annually
- Improved data accuracy and accessibility by 85%
- Automated 70% of manual processes
- Enhanced decision-making with unified analytics
- Strengthened security posture and reduced vulnerabilities
7 more outcomes available
Products
Software
Machine Health
Prescriptive AI machine diagnostics to predict and prevent industrial machine failure and improve machine performance.
Sample Category
Sample Product 2
Sample product description for demonstration purposes.
1 more products available
Target Organization
ICL
Description: A global specialty minerals and chemicals company focused on delivering essential solutions for humanity's sustainability needs.
Industry:Chemicals, Manufacturing