ADVANCED ANALYTICS

Real-Time and Predictive Analytics.
Insights based on AirSense data (fused, cleaned and enhanced Aircraft Tracking data).

Demo: How we used our analytics to create an Airport Performance Dashbord

...

AIRCRAFT IN THE AIR
AT THIS MOMENT

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AIRCRAFT IN THE AIR AT THIS MOMENT

Customer Value

Real-Time Notifications
(ie: Take-off and Landing)

  • Real-time Event detections

  • Fast processing and Push delivery

  • High accuracy of detections

  • Flexible filters and triggers

Customizable
Predictions

  • Trajectory Prediction

  • Predicted Time of Arrival

  • Customizable Intelligence

  • Performance Analytics

Easy Ingestion and Dynamic Pricing

  • Flexible data formats

  • Individually configured data parameters

  • Easy integration to your existing system

  • Transparent pricing based on number of flights per month

Be informed sooner about relevant flight status change, by subscribing to our real-time Notifications and Alerts !

Graphic Pre-defined events
Request a demo
Request a demo

MULTI-SOURCED DATA, ENHANCED FOR QUALITY

The quality framework at the heart of AirSense enables the identification and elimination of all data quality issues; ensuring the best availability, accuracy and relevance of data to our customers.

We generate trustworthy analytics for your operations.

SOURCES

  • Terrestrial ADS-B Data
  • Mode S Data
  • Space-based ADS-B Data
  • FAA ASDE-X
         What is ADS-B?

FEATURES

  • Data Quality Framework
  • AirSense Data Fusion
  • AirSense own Flight-ID
  • Flattening / Correcting of meta data
  • Data Format convertion (json, avro)

SIMPLIFIED DELIVERY

  • Kafka Topic
  • Geo-Server
  • API Calls

AirSense and Artificial Intelligence

Artificial Intelligence and Machine Learning are means to create new insights, leading to better decision making. AirSense is utilising both approaches in order to guarantee the best possible analytical results out of its unique data.

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AirSense is providing decision support for a domain where actionable insights are required with sub-second latency. Especially for Air Traffic Management operations an approach in real-time is needed to enhance efficiency and contribute to an optimised and safer process for our customers.

As many mature tools and algorithms for Artificial Intelligence and Machine Learning are available on the market, we are focussing on applying them for our services, adapting them to the specific data field we are working in.

The underlying methods are well researched and their opportunities and limitations are perfectly understood by our technical development team, so that we are comfortable positioning us at the cutting edge.

As it is very challenging to industrialize Artificial Intelligence and Machine Learning, it is important to gradually build trust in the solutions that are based on these technologies. We believe in transparency and clearly communicate where Artificial Intelligence and Machine Learning are useful, as well as their limitations. The challenge now is to prove its application opportunities in the market!

We want to do this jointly with our customer in dedicated co-creations.

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