Enhancing Predictive Maintenance, Operation and Design for Critical Infrastructure

KartaSoft supports methodology known as Physics-Informed AI.  
It is a progressive science using physics, biology and chemistry, and is applicable to critical infrastructure sector challenges where there is poor quality unstructured data & rare failure events that render traditional AI solutions ineffective.  
The framework builds on and adds value to existing data science project efforts and targets the specific challenges faced by critical infrastructure.  

Scientific evidence that proves robust strategies for: 

• Validating regulatory strategies, 
• Extending asset lifecycles,
• Predicting risk affecting customer experiences, and  
• Optimising workflows.  

The KartaSoft framework is not revolutionary and uses base sciences. The methodology has undergone extensive market testing, and a robust peer review process in Florida during the patent application process. This confidential unbiased point-of-view from Professor Dr Imre Bartos and Dr Ian Oppermann will deliver valuable information for you and your executive team, in an easy-to-understand format. We are confident that it will add to your thinking, and how planning and forecasting is viewed over the coming years.