Getting Started Guide

Follow these steps to get up and running with Trakt System

1

Account Setup

  • Create your account
  • Verify your email
  • Complete company profile
  • Set up user roles
Sign Up Now
2

Add Your Fleet

  • Add aircraft information
  • Register components
  • Upload maintenance history
  • Set up monitoring
3

Start Predicting

  • Configure AI models
  • Connect sensor data
  • Review predictions
  • Set up alerts

Interactive Tutorials

Step-by-step animated guides to help you master Trakt System

Dashboard Overview

Learn to navigate your main dashboard and understand key metrics.

3-5 minutes Beginner
Add

Aircraft Management

Add and manage aircraft in your fleet with detailed specifications.

5-7 minutes Beginner

Component Monitoring

Monitor component health and manage maintenance schedules.

6-8 minutes Intermediate

Analytics & Predictions

Understand AI predictions and interpret analytics dashboards.

8-10 minutes Intermediate
AMOS TRAKT

System Integrations

Connect AMOS, TRAX, and other maintenance systems.

10-12 minutes Advanced

Reports & Export

Generate and export comprehensive maintenance reports.

5-7 minutes Intermediate

Frequently Asked Questions

Quick answers to common questions about Trakt System

Our AI models achieve 90-95% accuracy in predicting component failures, with continuous improvement through machine learning. The accuracy depends on data quality, component type, and historical maintenance records. We provide confidence scores with each prediction to help you make informed decisions.

To get started with the Trakt System, you need basic aircraft information such as the tail number, type, and manufacturer. You also need component details including part numbers, serial numbers, and installation dates. Ideally, some historical maintenance records should be provided. For enhanced performance and accurate predictions, sensor data is required. Additionally, pilot reports and other relevant information are needed to ensure a comprehensive analysis.

Federated learning allows your AI models to learn from industry patterns without sharing raw data. Only encrypted model updates are shared, never your actual maintenance records, sensor data, or operational information.

Yes! We support integrations with major maintenance systems including AMOS, TRAX eMRO, and others. We offer SFTP, REST API, and SOAP connections to ensure compatibility with your existing workflow.

We support all ATA chapters including Power Plant (70-80), APU (49), Landing Gear (32), Flight Controls (27), Hydraulic Power (29), Electrical Power (24), Air Conditioning (21), Communications (23), Fuel (28), and Navigation (34).

Trakt System is a decision support tool designed to provide data-driven insights and predictions to assist qualified professionals. The final responsibility for all maintenance, operational, and airworthiness decisions rests solely with the human experts, such as certified aviation maintenance professionals and engineers, using this tool. The information provided by the platform, including AI predictions, health scores, and recommendations, should be used as a valuable supplement to, but not a replacement for, established maintenance practices, regulatory requirements, and professional judgment. All actions must be verified by certified personnel to ensure safety and compliance.