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ODYSSEE Overview


ODYSSEE is a powerful portfolio of modules (Lunar, Quasar and Nova) from our partner CADLM. It is a unique and powerful CAE-centric innovation platform that allows users to apply modern Machine Learning, Artificial Intelligence, Reduced Order Modelling (ROM) and Design Optimization to workflows.

ODYSSEE includes:

  • Machine Learning & AI
  • Statistics, Data Mining, Data Fusion
  • Optimization and Robustness
  • Process Discovery
  • Image Recognition and Compression

ODYSSEE (CADLM) Key aspects of Lunar:

ODYSSEE accelerates product design and development via real-time parametric simulations with optimization, machine learning and AI tools

Intelligent DOE

Adapted tool Improve an existing DOE tool DOE can include simulation models, tests or the two

Reduces CAE computing effort

Allows for a few, wisely selected sampling points Adaptive learning that allows you to improve as you learn

Real-time computing

Zero-computing effort for parametric studies and optimization Corridor / Population generation

Precision & completeness

Full time history output (not only scalars) Physical domain decomposition and not fitting (it is NOT a Response Surface Method!)

Software and physics independent

Works with Structural, Thermal, CFD, Acoustics (MSC Nastran, Marc, Adams, Cradle CFD, Actran)

Can produce 3D animations

No interpolations but reconstructions Stress/displacement iso value reconstruction


Automatic post-preprocessing

Evaluation tools included

Quality of parameters Quality of DOE Best method for your application...

How ODYSSEE AI and Machine Learning works?

ODYSSEY entails applying algorithms to identify and extract the natural language rules such that the unstructured language data is converted into a form that computers can understand.

Why choose ODYSSEE?

Whatever your business nature, ordinary or difficult, we will be happy to serve you. Tell us your business plan and get assistance from our experts.


Simulation in Real Time

  • With Lunar, you can manage the main steps of your project in real time with parametric design and optimization based on very few simulations
    • Concept Design: Parametric Studies, Trial and error
    • Detailed Modeling: Optimization, Model Fitting
    • Validation: Reliability Studies, Robustness



The benefits of ODYSSEE will interest your entire organization:

  • Engineering project managers
  • CAE engineering departments
  • VP of Engineering
  • Purchasing and procurement


You can use our services on your private cloud

Advanced technology

Our algorithms enables accurate recognition

Free try

We don’t need your credit card for trying our services on your app.

Competitive pricing

Just Top up your account and pay for what you consume

Rethinking Design COST

The environmental cost of computing worldwide is reaching that of transport. Increasing
number of solvers (often decoupled in terms of the underlying physics), size of models and
their CPU cost is hindering innovations, forcing engineers to start from zero at every design
cycle thus not exploiting past experience. Numerous design iterations are creating
computing bottlenecks in spite of huge advances in hardware and storage solutions.
ODYSSEE, allows to remedy this problem by reducing the effective number of CPU intensive
computations, replacing them by real-time equivalents capable of being run on small size

Reducing the cost of production and design requires optimization of designs and processes
leading to efficient manufacturing. While a great majority of engineers are aware of the
advantages of optimization techniques, few of them actually have the resources and the
opportunity to employ them. Numerous iterations are necessary either over the solver
solutions or their approximate surrogates. The existing solutions often ignore the fact that
many runs may be avoided using “learning” instead of calculating every single possible
combination of design parameters.
ODYSSEE, allows to remedy this drawback by combining optimization and learning in order
to provide very precise surrogate models which may be employed at very low computing
cost. The gain in total computing effort may be in the order of 1 to 1000 or even more. Robust
optimization can in particular benefit from this and allow for running thousands of runs in
seconds or minutes.

A design space is identified by variables or parameters. The associated results are simulations
outputs, experimental measurements or both. The primary purpose of simulations is to
replace real-life experiments by lower cost and easier to control counterparts. This however,
has it limits due to often too complex physics or lack of reliable models. We simply don’t have
an intermediate solution allowing to learn from experiments or simulations and establish a
link between the two, allowing for a “digital twin” or simply a “coupled simulationexperimental” model. Additionally, modeling is often confronted with issues related to
licensing, multi-scale considerations and confidentiality, especially in an industrial
ODYSSEE, establishes the missing links and allows for the above enhancements to be made in
order to improve the performance, the precision and the feasibility of simulation based

Even in the case where all the above barriers are overcome, the speed with which new
solutions can be obtained and explored remains a major obstacle. Engineering is about
“what-if” interrogations and incremental learning. Many decisions do not necessary require
a detailed FE model nor an elaborated experiment. This is especially the case in early stages
of the design in “V”. We can simply learn from our past experience and data and provide
real-time answers.
ODYSSEE technology is based on real-time computing; therefore you need little-computing
effort for parametric studies and optimization, exploring new horizons in data science in
order to capture the most important part of the solution, leaving the details to more elaborate
and CPU intensive computing, optimization and simulation technology.