From Big Data to Decision-Ready Asset Intelligence
Predictive Maintenance
Predictive Maintenance uses physics-informed AI for real-time damage detection, failure prediction and maintenance planning across composite structures and rotating equipment.
Use-Case-Driven SHM
Smart Data
Transforms complex and incomplete datasets into information engineers can use.
Physics and AI Combined
Links adaptive learning with scientific damage-propagation models rather than relying on data alone.
Critical-Asset Focus
Targets composite structures and rotating equipment where failure has major operational consequences.
Cross-Sector Applications
Supports aerospace, space, energy and other infrastructure-intensive industries.
Market Opportunity
Market estimates cited in the 2022 executive summary
$15.9B
Predictive Maintenance Market
Forecast for 2026
$4.34B
Structural Health Monitoring Market
Forecast for 2025
Energy projected to lead market share; aerospace expected to show the fastest rise























