Predictive maintenance now live for airlines

In late July 2025, AVIR launched its AI-powered predictive maintenance platform. This first phase enabled AVIR's predictive maintenance module — a system that anticipates faults and schedules interventions proactively — to go live.

Instead of waiting for breakdowns, AVIR's algorithms analyze maintenance logs, flight data, and environmental inputs to forecast wear on aircraft components. Rather than fixing parts after they fail, the system flags issues days or weeks in advance.

How the technology works

AVIR's core technology uses machine learning to scan sensor outputs, usage cycles, and historical repairs.

Each aircraft's telemetry streams into AVIR's cloud. If the system spots an anomaly — like a rising vibration trend in an engine — it automatically generates a work order before a failure occurs.

Technicians describe this as a "check-engine light for jets." Instead of waiting for excessive hydraulic pressure to trigger a fault, AVIR highlights the issue early, allowing maintenance during scheduled downtime.

This proactive approach keeps AOG incidents to a minimum. Early results show a 15-20% drop in unscheduled groundings since launch.

Unified data platform

AVIR unifies previously siloed data by integrating directly with existing tools — from ERP inventory systems to electronic flight logbooks — via secure APIs.

This creates a single dashboard view of every aircraft: flight logs, parts shelf-life, inspection records, and compliance checks.

A returning aircraft's logbook entries and sensor readings upload automatically. AVIR cross-references them with inventory and compliance schedules. Maintenance tasks are assigned instantly. No manual data entry. No mismatched spreadsheets. One single source of truth for engineers, pilots, and auditors.

Key results

Proactive fault alerts — predicts failures days in advance, keeps AOG events to a minimum. Cost savings — avoids expensive rush repairs and emergency part orders, maintenance spending cut by 10-30%. Increased availability — more uptime, fewer flight delays, approximately 20% improvement in schedule reliability. Unified data — all stakeholders share one integrated view. Mobile real-time access — field crews act on alerts instantly via the AVIR Mind mobile app.

Looking ahead

Next phases include an airworthiness module that alerts teams ahead of regulatory deadlines, an inventory module that tracks part usage and predicts demand, and flight path optimization currently in development.

We're building an avionics operating system for maintenance — one that lets teams fix tomorrow's problems today.