ODYSSEE is a powerful portfolio of 3 modules (Lunar, Quasar and Nova) from CADLM. It is a unique and powerful CAE-centric innovation
platform that allows users to apply modern Machine Learning, Artificial Intelligence, Reduced Order Modeling (ROM) and Design Optimization
to workflows. ODYSSEE uses Machine Learning and Reduced Order Modeling techniques: It employs algebraic or machine learning solutions for
reducing the volume of data while preserving the most important parts of the information contained within that data. This is commonly done via
decomposition or machine learning or other efficient data fusion techniques. Such techniques allow for creating on-board and real-time applications
based on existing experimental or simulation results. Typical applications are optimization, parametric sensitivity analysis and robustness.

Agens Bellini
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ODYSSEE provides you with off-the-shelf solutions in order to profit from modern data science technology, allowing for cost effective digital twins applications in

  • Real-Time predictive modeling and optimization (CAE or test data)
  • Image compression, identification, learning, prediction (Images)
  • Fault prediction (Sensor data)


ODYSSEE, helps our clients to reach the following strategic challenges:

  • Simulations and optimization in real time which contribute to reducing design time.
  • Reduce cost and delay in analysis times as well as computational effort.
  • In a period where the planet protection is a priority, it’s important to minimize the number of simulation and exploit them efficiently in terms of the delay in performing the simulations and the data storage. With our solution, our client can predict any simulation based on any physics in real time (solver independent), using simply a DOE of few simulations.

More information can be found here.