Airport Operations Software for Real-Time Monitoring and AI Analytics
Aerdrya brings real-time aviation data and AI-powered analytics together in one platform.
With Monitor, airport teams see what is happening across their operations right now. With Analyzer, they can use historical data to identify patterns, analyze performance and model future scenarios.
Two products. One connected data foundation.
Aerdrya Monitor
Real-Time Airport Operations Dashboard
Real-Time Airport Operations and Data Collection
Monitor provides a continuously updated view of airport operations.
Flight schedules, ADS-B data, existing airport data and connected sensor information are automatically collected and updated every few minutes.
This creates per-flight visibility into ground operations and reduces the need to manually collect information from different systems.
Monitor can show:
- Flight movements and aircraft positions
- Flight schedules
- Ground Support Equipment activity and utilisation
- Energy consumption
- Noise measurements
- Operational sensor data
- Relevant operational events and deviations
The continuously updated dataset creates a digital representation of current airport operations and provides the data foundation for further analysis, reporting and prediction.
See what is happening, where resources are being used and where inefficiencies occur.
Aerdrya Analyzer
AI-Powered Aviation Data Analytics
Analytics, Prediction and Reporting
Analyzer turns continuously collected airport data into operational insights, predictions and predefined reports.
Analyze
Compare operations across flights, stands, equipment, days or periods.
Identify:
- Operational bottlenecks
- GHE utilisation and idle time
- Energy consumption
- Delay patterns
- Operational cost drivers
- Emissions
- Performance changes over time
This allows airports to measure whether operational improvements actually deliver the expected results.
Predict
AI-based prediction helps airport teams understand what is likely to happen next and evaluate possible actions before problems occur.
Examples include:
- Delay prediction based on ground service times
- Charging recommendations based on operational requirements, energy availability and costs
- Detection of recurring operational patterns
- Scenario modelling for operational changes
Predictions can be evaluated against their potential impact on costs, delays, resource utilisation and emissions.
Report
Automatically collected data can be turned into predefined operational, sustainability and safety reports.
Examples include:
- Scope 3 emissions reporting
- Energy and emissions reports
- Runway and operational safety reports
- GHE utilisation reports
- Performance and turnaround reports
This reduces recurring administrative work and provides a consistent data basis for internal teams, airlines, authorities and other stakeholders.
What Airports can improve
Efficiency
Reduce idle time, identify bottlenecks and improve the utilisation of GHE and other operational resources.
Costs
Understand cost drivers and use predictions and recommendations to reduce avoidable operational and energy costs.
Emissions
Measure energy use and emissions and evaluate the effect of operational improvements.
Safety
Create consistent operational and runway reports and improve visibility into relevant operational deviations.
Time & Administration
Automate recurring data collection and reporting instead of manually combining information from multiple sources.
From Airport Data to Better Decisions
Real-time visibility with Monitor.
Data analysis and forecasting with Analyzer.
Aerdrya gives airport teams one simple platform to understand their operations today and plan for tomorrow.
One Platform. Two Products.
Monitor and Analyzer work with the same connected data foundation.
Monitor provides real-time operational visibility.
Analyzer uses collected data for analysis, reporting and future scenario modelling.
This allows airports to move from simply collecting data to actively using it for operational and strategic decisions.