KartaSoft: Providing a
Forward View of Assets
Defensible forward view of ‘at-risk’ assets and failures.
The Inherent Flaws of a Rear-View Approach
Relying on historical data creates a critical gap between information and reality, failing to provide the timely and accurate insights that modern asset management demands.
Fail to Predict Novel and Emergent Risks
By definition, historical data cannot account for new or changing failure modes. This leaves your organization exposed to unforeseen events.
Slow and Inaccurate "Black Box" Models
A rear-view approach tells what has already happened, not what is about to happen. This forces maintenance into a constant and costly state of reaction.
Dependence on Lagging Indicators
Conventional AI provide correlations to failures, not causation of failures, making its outputs "black boxes" that are indefensible and not trusted by engineers.
Inability to Adapt to Dynamic Conditions
Historical models are static. They fail to account for the dynamic operational stresses and environmental factors that directly impact asset health in real-time.
Efficient Proactive Approach to Asset Health and Service Continuity
KartaSoft operates the new science of Physics-Informed Artificial Intelligence, providing a clear, dynamic, and forward-looking view of asset health, translating complex information into actionable intelligence.
Unlock the True Value of Your Asset Data
Empower your organization to move beyond the strategic boundaries defined by data limitations.
Our platform is designed to master complexity and deliver the intelligence required for modern asset management.
Schedule a confidential briefing to assess your current data challenges and build a roadmap for transformation.
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