Fleet-Wide Maintenance Intelligence
Three integrated technologies - LOG, I-See, and AI Joe - work together to collect, visualize, and analyze maintenance data automatically across your entire fleet.
How It Works
LOG Collects
LOG operates transparently within MDDV, collecting user activities in real time - every maintenance action, every troubleshooting step, every page view. No manual data entry, no behavior change required.
I-See Visualizes
I-See receives LOG data and presents it as a live dashboard - multidimensional analysis by unit, tail number, time period, maintenance type, or S1000D system, in any combination.
AI Joe Analyzes
AI Joe continuously learns from LOG data using non-generative, deterministic AI - conducting deep analysis, recommending improvements, and highlighting trends in near real time. No hallucinations. Recommendations are derived from actual maintenance data, not generated text.
Automatic Data Collection
MDDV automatically collects real-time maintenance data - time to perform all activities, by user, unit, tail number, and model. Every troubleshooting step, every timing, every selection is captured transparently without adding burden to the technician.
Dashboard Capabilities
Multidimensional Analysis
Slice data by any combination of unit, tail, time, maintenance system, or S1000D system.
Live Updating
Dashboards update in real time as LOG data streams in from field operations.
Pattern Discovery
I-See's phenomena discovery works on data of any size, including continuously streaming live data from field operations.
Predictions & What-Ifs
AI Joe provides trends, predictions, and what-if scenarios using machine learning and Trusted AI.
Supply Chain Intelligence
When connected to supply chain databases, I-See and AI Joe discover hidden issues and provide actionable logistics insights.
Actionable Recommendations
AI Joe does not just report - it recommends improvements and highlights both positive and negative trends.
CBM+ Enablement
Condition-Based Maintenance Plus (CBM+) requires comprehensive data collection at the point of maintenance. MDDV's integrated analytics pipeline - LOG collecting, I-See visualizing, AI Joe analyzing - provides the data foundation CBM+ demands. Every troubleshooting path feeds into fleet-wide analysis. Every maintenance timing builds the predictive model. The result is a continuous virtuous cycle from pilot debrief through maintenance, troubleshooting, reporting, learning, and recommending improvements.
From the Field
“If we want to be more effective faster, we need to holistically change what data we capture and how we capture that data. This tool, when implemented within an eco-system, checks all of those boxes!
Like all MDDV components, LOG, I-See, and AI Joe are delivered over the web or network with zero footprint - no installation, no plugins, no maintenance. Back-end data of any size is supported.
See fleet analytics in action
We'll demonstrate LOG, I-See, and AI Joe using real maintenance data - from collection through analysis and recommendations.