Build the Foundation
for Prediction & AI

Everyone wants predictive maintenance. Few are ready.

Build the clean, connected, trusted data foundation that makes prediction real, through modular aviation-native apps and expert guidance

Plan My Predictive Roadmap

Prediction Foundation Analysis

Why Prediction Fails Without A Foundation

The Industry's Approach

✕ Focus on flight data & AI pilots
✕ Predictive work done by 1-2 specialists
✕ Tools outside reliability programs
✕ Poor maintenance data quality

The Result?

→ Partial view of aircraft health
→ Dependency on individuals
→ No compliance traceability
→ Untrusted predictions

The EXSYN Approach - Modern Concept

The EXSYN Approach — Predictive In Continuity

We don't predict in isolation, we predict in continuity. EXSYN’s modular apps connect every step of the data lifecycle. From airworthiness to reliability and prediction. Each app strengthens a layer of data continuity, ensuring predictive insights are clean, traceable, and operationally grounded.

1

1. Data Integrity

Complete, accurate airworthiness & compliance records.

Apps: OEM Library · AD/SB Automation

2

2. Fleet Health Visibility

Comparable, standardized condition views.

Apps: Airworthiness Reviews & Checks · M&E Consistency Checks & Reports

3

3. Reliability Intelligence

Trends, KPIs, MTBUR, repeat rates.

Apps: Reliability Reporting · Reliability Analysis

4

4. Predictive & Risk Insights

Forecasts and risk scoring you can audit.

Apps: AOG Risk Monitor · Engine Health Monitor

5

5. Continuity & Exchange

Keeps aircraft data connected across systems.

Apps: Data Integration

Predictive Intelligence Roadmap

From Data Fixes to Predictive Intelligence

A Step-By-Step Path Airlines Can Trust, Practical Today, Predictive Tomorrow.

1.

Connect

Integrate M&E/MRO, and planning data across systems to ensure continuity and consistency.

Layer: Continuity & Exchange

2.

Clean

Validate, structure, and automate checks to create trusted maintenance and airworthiness data.

Layer: Data Integrity

3.

Monitor

Gain full fleet health visibility through unified condition data and early-warning insights.

Layer: Fleet Health Visibility

4.

Leverage

Turn clean data into reliability metrics, insights, and decisions that improve daily performance.

Layer: Reliability Intelligence

5.

Predict

Build predictive and risk-based models grounded in reliable, traceable data, not assumptions.

Layer: Predictive & Risk Insights

The Partner for Predictive-Ready Aviation

Future-ready, but grounded in today’s CAMO and engineering reality.

Predictive Aviation Comparison

The Partner for Predictive-Ready Aviation
Future-ready, but grounded in today’s CAMO and engineering reality.

Typical Industry Predictive Approach

EXSYN Predictive Approach

Driven by telemetry or FDR data only

Integrates flight, maintenance, airworthiness, and telemetry data

Built as stand-alone data science pilots

Embedded within existing reliability monitoring programs

Dependent on individual specialists or vendors

Scalable, team-wide processes that operators can own

Limited traceability and compliance link

Fully auditable, regulator-ready insights

Reactive model training and short-term pilots

Continuous improvement on a clean, connected data foundation

It’s the difference between isolated predictions and continuous, trusted reliability intelligence.

Apps That Build the Foundation

Prediction isn’t a leap. It’s the result of continuity — built one app at a time.

EXSYN • Apps
      
        Apps

Trusted by Operators Worldwide

Ready to Move to Predictive Readiness?

Start a conversation about your predictive readiness. Together, we’ll assess your current data setup, reliability practices, and opportunities to strengthen continuity across your M&E environment.

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Build the Foundation for Prediction & AI