July 13, 2025
Smarter decisions before failures happen.Start with insights even if you're running legacy systems. AVIR learns from your data.
Uses historical maintenance records, flight logs, and environmental variables
Anticipates faults and schedules interventions proactively
Minimizes unplanned downtime and improves overall aircraft reliability
Automatically adapts to evolving operational patterns across your fleet
This section details how predictive algorithms assess, learn, and improve your maintenance efficiency. Start by connecting your legacy or modern systems to Avir Nexus — no migration needed. Initial insights are generated in minutes.
Data Sources
AVIR analyzes both structured and unstructured data, including logbooks, sensor outputs, weather reports, and part histories. The system uses pretrained models to predict failure probabilities.
Setup & Integration
Once your data is connected, AVIR Nexus begins indexing and classifying the records. You can customize thresholds and alert settings directly through the dashboard.
Intervention Planning
The AI proposes ideal windows for servicing, based on usage patterns, aircraft downtime history, and part lifecycle curves. These are visualized with confidence indicators.
Collaborative Tools
Integrated planning modules allow cross-functional teams to assign, accept, and report on proactive maintenance actions. Everything is tracked against the airframe and maintenance logs.

AVIR is trusted by aviation teams globally to manage operations with military-grade security and aviation-grade compliance.
Pronounced ah-VEER(אֲוִיר) and sounds like
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