Predictive Maintenance Is Live with Dassault

How AVIR and Dassault Are Redefining Aircraft Reliability.

Business Aviation

Dassault Falcon

Fleet Reliability

Aviation AI

Case Studies

Laman 🦙

Aug 18, 2025

Case Studies

Business Aviation

Dassault Falcon

Fleet Reliability

Aviation AI

Case Studies

Introduction

In late July 2025, AVIR launched its AI-powered Predictive Maintenance platform in partnership with Dassault Aviation. As a pilot focused on Dassault’s Falcon jet fleet.

This first phase enabled AVIR’s Predictive Maintenance module a system that “anticipates faults and schedules interventions proactively” to go live for the first time.

Instead of waiting for breakdowns, AVIR’s algorithms analyze maintenance logs, flight data, and environmental inputs to forecast wear on aircraft components. Think of it as a routine health check for every jet: rather than fixing parts after they fail, the system flags issues days or weeks in advance.

Industry benchmarks show airlines using AI-driven maintenance have cut costs by up to 30% and boosted fleet uptime by nearly 20%

Introduction

In late July 2025, AVIR launched its AI-powered Predictive Maintenance platform in partnership with Dassault Aviation. As a pilot focused on Dassault’s Falcon jet fleet.

This first phase enabled AVIR’s Predictive Maintenance module a system that “anticipates faults and schedules interventions proactively” to go live for the first time.

Instead of waiting for breakdowns, AVIR’s algorithms analyze maintenance logs, flight data, and environmental inputs to forecast wear on aircraft components. Think of it as a routine health check for every jet: rather than fixing parts after they fail, the system flags issues days or weeks in advance.

Industry benchmarks show airlines using AI-driven maintenance have cut costs by up to 30% and boosted fleet uptime by nearly 20%

Introduction

In late July 2025, AVIR launched its AI-powered Predictive Maintenance platform in partnership with Dassault Aviation. As a pilot focused on Dassault’s Falcon jet fleet.

This first phase enabled AVIR’s Predictive Maintenance module a system that “anticipates faults and schedules interventions proactively” to go live for the first time.

Instead of waiting for breakdowns, AVIR’s algorithms analyze maintenance logs, flight data, and environmental inputs to forecast wear on aircraft components. Think of it as a routine health check for every jet: rather than fixing parts after they fail, the system flags issues days or weeks in advance.

Industry benchmarks show airlines using AI-driven maintenance have cut costs by up to 30% and boosted fleet uptime by nearly 20%

Aircraft in Scope

Dassault’s Falcon line of business jets including the 8X, 7X, 6X, and mission-specific variants like the Falcon Albatros (maritime surveillance) and Falcon Archange (strategic intelligence) were the first aircraft on AVIR’s system.

The initial rollout covered Dassault’s Bordeaux–Mérignac facility and the Argonay maintenance center in France. These engineering hubs now run with AVIR’s predictive analytics integrated into their workflows.

How the Technology Works

AVIR’s core technology uses machine learning to scan:

  • Sensor outputs

  • Usage cycles

  • Historical repairs

Each Falcon’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 (aircraft-on-ground) incidents to a minimum. Early results show Dassault experiencing a 15–20% drop in unscheduled groundings since launch.

Published benchmarks echo these figures:

  • GE Aviation predictive systems → 30% cost reduction, 20% uptime gains

  • Airbus Skywise → 10–15% cost savings, ~20% reliability improvement



Unified Data Platform

AVIR unifies previously siloed data by integrating directly with Dassault’s 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

  • Compliance checks

For example:

  • A Falcon returns from a flight.

  • 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.

Mobile Access

Through the AVIR Mind mobile app, crews and technicians receive instant alerts.

Example workflow:

  • A Falcon lands.

  • A technician opens the app.

  • A new maintenance task (flagged by AVIR the previous day) is already scheduled.

This ensures seamless coordination between the hangar and the flight line.

Rollout Details July , 2025

  • Scope: Pilot rollout of Predictive Maintenance only (Airworthiness and Inventory modules to follow).

  • Deployment: Activated across selected Falcon jets.

  • Early Results:

    • 8 out of 10 major discrepancies predicted before inspections.

    • Dozens of issues flagged before becoming critical.

    • 15–20% fewer unscheduled maintenance events in the first month.

This matches industry findings: predictive analytics lets teams “schedule repairs during planned downtime” so flights remain on schedule.

Key Benefits and Results

  1. Proactive Fault Alerts

    • Predicts failures days in advance

    • Keeps AOG events to a minimum

  2. Cost Savings

    • Avoids expensive rush repairs and emergency part orders

    • Maintenance spending cut by 10–30%

  3. Increased Availability

    • More uptime, fewer flight delays

    • ~20% improvement in schedule reliability

  4. Unified Data

    • All stakeholders share one integrated view

    • Simplifies decision-making and audit trails

  5. Mobile Real-Time Access

    • Field crews act on alerts instantly

    • Accessible at Mérignac, Istres, or Argonay anytime, anywhere

Integration with Dassault Operations

The rollout involved direct data feeds from Dassault’s flight logs and maintenance systems into AVIR’s cloud.

Examples:

  • Falcon 8X flight recorder → nightly sync

  • ERP system → real-time part replacement history

Because AVIR uses open APIs, integration was completed in just weeks with no disruption. Dassault’s IT and MRO teams trained on reviewing AVIR tasks and logging discrepancies via tablets.

By go-live, all targeted Falcons were onboarded. Now, when a Falcon lands at Istres or Argonay, its flight data is already in AVIR. Anomalies generate immediate alerts. The system, pre-trained on thousands of Dassault flight hours, will only improve with ongoing data.

Looking Ahead

The July rollout was only the beginning. Next phases include:

  • Airworthiness Module: Alerts teams ahead of regulatory deadlines (DGAC/EASA compliance).

  • Inventory Module: Tracks part usage, predicts demand, and suggests optimal stock levels.

  • Future Features: Flight path optimization and advanced analytics currently in development.

In short, AVIR is building the AI-native operating system for aviation.

As one AVIR engineer put it: “We’re essentially building an avionics operating system for maintenance one that lets teams fix tomorrow’s problems today.”

Closing

The July 29 rollout marks a fundamental shift for Dassault Falcon operations: from reactive repairs to proactive AI-driven maintenance.

  • Fewer last-minute fixes

  • Lower costs

  • Higher fleet readiness

Early results have been encouraging, and as more features go live, both Dassault and AVIR expect these benefits to compound.

Stay in the Loop

We’ll be sharing more as we build from deep dives into our predictive engine to lessons in designing for high-stakes aviation workflows.

  • Laman 🦙

Say hi anytime → laman@avir.space - Twitter → @LamaN__Y

Aircraft in Scope

Dassault’s Falcon line of business jets including the 8X, 7X, 6X, and mission-specific variants like the Falcon Albatros (maritime surveillance) and Falcon Archange (strategic intelligence) were the first aircraft on AVIR’s system.

The initial rollout covered Dassault’s Bordeaux–Mérignac facility and the Argonay maintenance center in France. These engineering hubs now run with AVIR’s predictive analytics integrated into their workflows.

How the Technology Works

AVIR’s core technology uses machine learning to scan:

  • Sensor outputs

  • Usage cycles

  • Historical repairs

Each Falcon’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 (aircraft-on-ground) incidents to a minimum. Early results show Dassault experiencing a 15–20% drop in unscheduled groundings since launch.

Published benchmarks echo these figures:

  • GE Aviation predictive systems → 30% cost reduction, 20% uptime gains

  • Airbus Skywise → 10–15% cost savings, ~20% reliability improvement



Unified Data Platform

AVIR unifies previously siloed data by integrating directly with Dassault’s 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

  • Compliance checks

For example:

  • A Falcon returns from a flight.

  • 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.

Mobile Access

Through the AVIR Mind mobile app, crews and technicians receive instant alerts.

Example workflow:

  • A Falcon lands.

  • A technician opens the app.

  • A new maintenance task (flagged by AVIR the previous day) is already scheduled.

This ensures seamless coordination between the hangar and the flight line.

Rollout Details July , 2025

  • Scope: Pilot rollout of Predictive Maintenance only (Airworthiness and Inventory modules to follow).

  • Deployment: Activated across selected Falcon jets.

  • Early Results:

    • 8 out of 10 major discrepancies predicted before inspections.

    • Dozens of issues flagged before becoming critical.

    • 15–20% fewer unscheduled maintenance events in the first month.

This matches industry findings: predictive analytics lets teams “schedule repairs during planned downtime” so flights remain on schedule.

Key Benefits and Results

  1. Proactive Fault Alerts

    • Predicts failures days in advance

    • Keeps AOG events to a minimum

  2. Cost Savings

    • Avoids expensive rush repairs and emergency part orders

    • Maintenance spending cut by 10–30%

  3. Increased Availability

    • More uptime, fewer flight delays

    • ~20% improvement in schedule reliability

  4. Unified Data

    • All stakeholders share one integrated view

    • Simplifies decision-making and audit trails

  5. Mobile Real-Time Access

    • Field crews act on alerts instantly

    • Accessible at Mérignac, Istres, or Argonay anytime, anywhere

Integration with Dassault Operations

The rollout involved direct data feeds from Dassault’s flight logs and maintenance systems into AVIR’s cloud.

Examples:

  • Falcon 8X flight recorder → nightly sync

  • ERP system → real-time part replacement history

Because AVIR uses open APIs, integration was completed in just weeks with no disruption. Dassault’s IT and MRO teams trained on reviewing AVIR tasks and logging discrepancies via tablets.

By go-live, all targeted Falcons were onboarded. Now, when a Falcon lands at Istres or Argonay, its flight data is already in AVIR. Anomalies generate immediate alerts. The system, pre-trained on thousands of Dassault flight hours, will only improve with ongoing data.

Looking Ahead

The July rollout was only the beginning. Next phases include:

  • Airworthiness Module: Alerts teams ahead of regulatory deadlines (DGAC/EASA compliance).

  • Inventory Module: Tracks part usage, predicts demand, and suggests optimal stock levels.

  • Future Features: Flight path optimization and advanced analytics currently in development.

In short, AVIR is building the AI-native operating system for aviation.

As one AVIR engineer put it: “We’re essentially building an avionics operating system for maintenance one that lets teams fix tomorrow’s problems today.”

Closing

The July 29 rollout marks a fundamental shift for Dassault Falcon operations: from reactive repairs to proactive AI-driven maintenance.

  • Fewer last-minute fixes

  • Lower costs

  • Higher fleet readiness

Early results have been encouraging, and as more features go live, both Dassault and AVIR expect these benefits to compound.

Stay in the Loop

We’ll be sharing more as we build from deep dives into our predictive engine to lessons in designing for high-stakes aviation workflows.

  • Laman 🦙

Say hi anytime → laman@avir.space - Twitter → @LamaN__Y

Aircraft in Scope

Dassault’s Falcon line of business jets including the 8X, 7X, 6X, and mission-specific variants like the Falcon Albatros (maritime surveillance) and Falcon Archange (strategic intelligence) were the first aircraft on AVIR’s system.

The initial rollout covered Dassault’s Bordeaux–Mérignac facility and the Argonay maintenance center in France. These engineering hubs now run with AVIR’s predictive analytics integrated into their workflows.

How the Technology Works

AVIR’s core technology uses machine learning to scan:

  • Sensor outputs

  • Usage cycles

  • Historical repairs

Each Falcon’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 (aircraft-on-ground) incidents to a minimum. Early results show Dassault experiencing a 15–20% drop in unscheduled groundings since launch.

Published benchmarks echo these figures:

  • GE Aviation predictive systems → 30% cost reduction, 20% uptime gains

  • Airbus Skywise → 10–15% cost savings, ~20% reliability improvement



Unified Data Platform

AVIR unifies previously siloed data by integrating directly with Dassault’s 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

  • Compliance checks

For example:

  • A Falcon returns from a flight.

  • 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.

Mobile Access

Through the AVIR Mind mobile app, crews and technicians receive instant alerts.

Example workflow:

  • A Falcon lands.

  • A technician opens the app.

  • A new maintenance task (flagged by AVIR the previous day) is already scheduled.

This ensures seamless coordination between the hangar and the flight line.

Rollout Details July , 2025

  • Scope: Pilot rollout of Predictive Maintenance only (Airworthiness and Inventory modules to follow).

  • Deployment: Activated across selected Falcon jets.

  • Early Results:

    • 8 out of 10 major discrepancies predicted before inspections.

    • Dozens of issues flagged before becoming critical.

    • 15–20% fewer unscheduled maintenance events in the first month.

This matches industry findings: predictive analytics lets teams “schedule repairs during planned downtime” so flights remain on schedule.

Key Benefits and Results

  1. Proactive Fault Alerts

    • Predicts failures days in advance

    • Keeps AOG events to a minimum

  2. Cost Savings

    • Avoids expensive rush repairs and emergency part orders

    • Maintenance spending cut by 10–30%

  3. Increased Availability

    • More uptime, fewer flight delays

    • ~20% improvement in schedule reliability

  4. Unified Data

    • All stakeholders share one integrated view

    • Simplifies decision-making and audit trails

  5. Mobile Real-Time Access

    • Field crews act on alerts instantly

    • Accessible at Mérignac, Istres, or Argonay anytime, anywhere

Integration with Dassault Operations

The rollout involved direct data feeds from Dassault’s flight logs and maintenance systems into AVIR’s cloud.

Examples:

  • Falcon 8X flight recorder → nightly sync

  • ERP system → real-time part replacement history

Because AVIR uses open APIs, integration was completed in just weeks with no disruption. Dassault’s IT and MRO teams trained on reviewing AVIR tasks and logging discrepancies via tablets.

By go-live, all targeted Falcons were onboarded. Now, when a Falcon lands at Istres or Argonay, its flight data is already in AVIR. Anomalies generate immediate alerts. The system, pre-trained on thousands of Dassault flight hours, will only improve with ongoing data.

Looking Ahead

The July rollout was only the beginning. Next phases include:

  • Airworthiness Module: Alerts teams ahead of regulatory deadlines (DGAC/EASA compliance).

  • Inventory Module: Tracks part usage, predicts demand, and suggests optimal stock levels.

  • Future Features: Flight path optimization and advanced analytics currently in development.

In short, AVIR is building the AI-native operating system for aviation.

As one AVIR engineer put it: “We’re essentially building an avionics operating system for maintenance one that lets teams fix tomorrow’s problems today.”

Closing

The July 29 rollout marks a fundamental shift for Dassault Falcon operations: from reactive repairs to proactive AI-driven maintenance.

  • Fewer last-minute fixes

  • Lower costs

  • Higher fleet readiness

Early results have been encouraging, and as more features go live, both Dassault and AVIR expect these benefits to compound.

Stay in the Loop

We’ll be sharing more as we build from deep dives into our predictive engine to lessons in designing for high-stakes aviation workflows.

  • Laman 🦙

Say hi anytime → laman@avir.space - Twitter → @LamaN__Y

Involved Topics

Business Aviation

Dassault Falcon

Fleet Reliability

Aviation AI

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Start Optimising Now

Manage your Airops, Wherever You Are

Stay connected with real-time ops, insights, and actions — all from the AVIR Mind mobile app.

Start Optimising Now

Manage your Airops, Wherever You Are

Stay connected with real-time ops, insights, and actions — all from the AVIR Mind mobile app.

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