ODYSSEE
Artificial intelligence / machine learning for enhanced engineering
ODYSSEE
Real-time solutions for engineering, manufacturing and quality.
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Ready to get started?
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ODYSSEE – Optimal Decision Support System for Engineering and Expertise
Want to reduce two months of work down to just one week?
This is the power of AI/ML applied to CAE simulation and production.
Hexagon's AI/ML solution, specifically designed for engineers, employs predictive techniques that can work effectively with small datasets (which make up about 10% of the data typically needed for traditional ML). As a result, engineers can avoid the challenges of generating large amounts of data, which is time-consuming and expensive. But we won't stop there - ODYSSEE is improving continuously as more techniques are incorporated into the learning models over time.
Challenges tackled with AI/ML
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Overcome your challenges with ODYSSEE solutions
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ODYSSEE CAE
Perform CAE design space exploration to broaden your horizons
ODYSSEE CAE is an innovative platform for engineers that integrates machine learning, artificial intelligence, reduced order modelling, and design optimisation into workflows. It enables cost-efficient digital twin creation through real-time predictive modelling and optimisation by leveraging CAE simulation and physical test data. With minimal prior simulations, ODYSSEE CAE can quickly generate accurate results (with deformation, stresses, ...) and full-time history outputs.
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ODYSSEE A-EYE
Image based learning and prediction
ODYSSEE A-Eye is a machine learning solution for accelerating product design and development through image and CAD-based learning. Using images, CAD and sensor data as inputs, ODYSSEE A-Eye creates customised AI applications that predict output responses and field data. This enables designers and production technicians to explore the design space thoroughly and design next-generation products efficiently without excessive computing time and cost.
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ODYSSEE Solver
The powerful AI engine
ODYSSEE Solver includes the Artificial Intelligence engine Quasar and the optimiser Nova. Quasar is an object-oriented programming language that allows configurable computations for data mining, prediction, interpolation, classification, image processing, matrix operations etc. Quasar is the AI engine powering ODYSSEE products, and it is integrated into multiple Hexagon products:
- Cradle
- MSC Nastran through smart sub-modeling
- Adams through FMU
... and more ...
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ODYSSEE Explore
Data analysis and data mining managed by interactive dashboards
ODYSSEE Explore is an application for exploratory data analysis and data visualisation:
- Perform data preprocessing and feature engineering before using the data for machine learning.
- Visualise output responses and outliers.
ODYSSEE Capabilities
Scripting with Quasar or Python
ODYSSEE Solver is built on an object-oriented language called Quasar. But it also supports Python.
- Easy to automate any process or integrate into internal software.
- Quasar is a powerful language, but engineers are familiar with Python. They can access ODYSSEE libraries with maintenance and support.
- Built-in AI/ML, ROM, STATS, OPTIMIZATION, RELIABILITY, FORECASTING, and process monitoring libraries.
- "No-code" access to all the above (very little scripting, just a couple of lines...).
Solving problems in real-time & optimising product design
ODYSSEE CAE can predict historical curves and complete field data at all nodes and elements (stress, strain, ...) in a way that is completely data-driven and CAE solver independent.
ODYSSEE can deploy different machine learning and reduced order modeling techniques to extract important features from your data. This enables the creation of highly accurate data-based surrogate models.
ODYSSEE ROM-based optimisers can perform efficient optimisation in real-time. Multi-objective and multi-constraint optimisation studies can be defined with ease.
Parsers - Data-driven and CAE solver independent
To be more efficient during data preparation and preprocessing, ODYSSEE CAE proposes dedicated parsers (MSC Nastran, Adams and LS-DYNA) and a multi-purpose generic parser adaptable for any software.
The parsers dedicated for Marc, Cradle CFD, and MSC Apex are respectively integrated into Mentat ScFlow and MSC Apex.
Adaptive DOE methods
Different algorithms are available for DOE sampling. These algorithms allow adding new sample points to improve space-filling. They also allow reducing the sample points to effectively handle large datasets.
ODYSSEE enables adaptive sampling that generates results in real-time when new points are added.
Embed ODYSSEE models in CAE through FMU and smart superelements
Parametric superelement (for MSC Nastran or Marc), parametric FMUs (for Adams and electronics devices...) can be generated with ease in ODYSSEE.
Replace a complete model with an ODYSSEE representative element for quick parametric studies and faster computation times.
Directly use images and CAD (step, stl) files for modeling and parametric design or production/quality
Process images (JPG and PNG formats) and CAD files (STEP and STL formats) directly in A-Eye. Easily associate these with scalars, curves and labels.
Images can be geometry design views, manufactured parts snapshots or simulation field data.
The capability can be implemented for quality inspection, manufacturing fault detection and forecasting.
Scripting with Quasar or Python
ODYSSEE Solver is built on an object-oriented language called Quasar. But it also supports Python.
- Easy to automate any process or integrate into internal software.
- Quasar is a powerful language, but engineers are familiar with Python. They can access ODYSSEE libraries with maintenance and support.
- Built-in AI/ML, ROM, STATS, OPTIMIZATION, RELIABILITY, FORECASTING, and process monitoring libraries.
- "No-code" access to all the above (very little scripting, just a couple of lines...).
Solving problems in real-time & optimising product design
ODYSSEE CAE can predict historical curves and complete field data at all nodes and elements (stress, strain, ...) in a way that is completely data-driven and CAE solver independent.
ODYSSEE can deploy different machine learning and reduced order modeling techniques to extract important features from your data. This enables the creation of highly accurate data-based surrogate models.
ODYSSEE ROM-based optimisers can perform efficient optimisation in real-time. Multi-objective and multi-constraint optimisation studies can be defined with ease.
Parsers - Data-driven and CAE solver independent
To be more efficient during data preparation and preprocessing, ODYSSEE CAE proposes dedicated parsers (MSC Nastran, Adams and LS-DYNA) and a multi-purpose generic parser adaptable for any software.
The parsers dedicated for Marc, Cradle CFD, and MSC Apex are respectively integrated into Mentat ScFlow and MSC Apex.
Adaptive DOE methods
Different algorithms are available for DOE sampling. These algorithms allow adding new sample points to improve space-filling. They also allow reducing the sample points to effectively handle large datasets.
ODYSSEE enables adaptive sampling that generates results in real-time when new points are added.
Embed ODYSSEE models in CAE through FMU and smart superelements
Parametric superelement (for MSC Nastran or Marc), parametric FMUs (for Adams and electronics devices...) can be generated with ease in ODYSSEE.
Replace a complete model with an ODYSSEE representative element for quick parametric studies and faster computation times.
Directly use images and CAD (step, stl) files for modeling and parametric design or production/quality
Process images (JPG and PNG formats) and CAD files (STEP and STL formats) directly in A-Eye. Easily associate these with scalars, curves and labels.
Images can be geometry design views, manufactured parts snapshots or simulation field data.
The capability can be implemented for quality inspection, manufacturing fault detection and forecasting.
Scripting with Quasar or Python
ODYSSEE Solver is built on an object-oriented language called Quasar. But it also supports Python.
- Easy to automate any process or integrate into internal software.
- Quasar is a powerful language, but engineers are familiar with Python. They can access ODYSSEE libraries with maintenance and support.
- Built-in AI/ML, ROM, STATS, OPTIMIZATION, RELIABILITY, FORECASTING, and process monitoring libraries.
- "No-code" access to all the above (very little scripting, just a couple of lines...).
Scripting with Quasar or Python
ODYSSEE Solver is built on an object-oriented language called Quasar. But it also supports Python.
- Easy to automate any process or integrate into internal software.
- Quasar is a powerful language, but engineers are familiar with Python. They can access ODYSSEE libraries with maintenance and support.
- Built-in AI/ML, ROM, STATS, OPTIMIZATION, RELIABILITY, FORECASTING, and process monitoring libraries.
- "No-code" access to all the above (very little scripting, just a couple of lines...).
Solving problems in real-time & optimising product design
ODYSSEE CAE can predict historical curves and complete field data at all nodes and elements (stress, strain, ...) in a way that is completely data-driven and CAE solver independent.
ODYSSEE can deploy different machine learning and reduced order modeling techniques to extract important features from your data. This enables the creation of highly accurate data-based surrogate models.
ODYSSEE ROM-based optimisers can perform efficient optimisation in real-time. Multi-objective and multi-constraint optimisation studies can be defined with ease.
Parsers - Data-driven and CAE solver independent
To be more efficient during data preparation and preprocessing, ODYSSEE CAE proposes dedicated parsers (MSC Nastran, Adams and LS-DYNA) and a multi-purpose generic parser adaptable for any software.
The parsers dedicated for Marc, Cradle CFD, and MSC Apex are respectively integrated into Mentat ScFlow and MSC Apex.
Adaptive DOE methods
Different algorithms are available for DOE sampling. These algorithms allow adding new sample points to improve space-filling. They also allow reducing the sample points to effectively handle large datasets.
ODYSSEE enables adaptive sampling that generates results in real-time when new points are added.
Embed ODYSSEE models in CAE through FMU and smart superelements
Parametric superelement (for MSC Nastran or Marc), parametric FMUs (for Adams and electronics devices...) can be generated with ease in ODYSSEE.
Replace a complete model with an ODYSSEE representative element for quick parametric studies and faster computation times.
Directly use images and CAD (step, stl) files for modeling and parametric design or production/quality
Process images (JPG and PNG formats) and CAD files (STEP and STL formats) directly in A-Eye. Easily associate these with scalars, curves and labels.
Images can be geometry design views, manufactured parts snapshots or simulation field data.
The capability can be implemented for quality inspection, manufacturing fault detection and forecasting.
Scripting with Quasar or Python
ODYSSEE Solver is built on an object-oriented language called Quasar. But it also supports Python.
- Easy to automate any process or integrate into internal software.
- Quasar is a powerful language, but engineers are familiar with Python. They can access ODYSSEE libraries with maintenance and support.
- Built-in AI/ML, ROM, STATS, OPTIMIZATION, RELIABILITY, FORECASTING, and process monitoring libraries.
- "No-code" access to all the above (very little scripting, just a couple of lines...).
Solving problems in real-time & optimising product design
ODYSSEE CAE can predict historical curves and complete field data at all nodes and elements (stress, strain, ...) in a way that is completely data-driven and CAE solver independent.
ODYSSEE can deploy different machine learning and reduced order modeling techniques to extract important features from your data. This enables the creation of highly accurate data-based surrogate models.
ODYSSEE ROM-based optimisers can perform efficient optimisation in real-time. Multi-objective and multi-constraint optimisation studies can be defined with ease.
Parsers - Data-driven and CAE solver independent
To be more efficient during data preparation and preprocessing, ODYSSEE CAE proposes dedicated parsers (MSC Nastran, Adams and LS-DYNA) and a multi-purpose generic parser adaptable for any software.
The parsers dedicated for Marc, Cradle CFD, and MSC Apex are respectively integrated into Mentat ScFlow and MSC Apex.
Adaptive DOE methods
Different algorithms are available for DOE sampling. These algorithms allow adding new sample points to improve space-filling. They also allow reducing the sample points to effectively handle large datasets.
ODYSSEE enables adaptive sampling that generates results in real-time when new points are added.
Embed ODYSSEE models in CAE through FMU and smart superelements
Parametric superelement (for MSC Nastran or Marc), parametric FMUs (for Adams and electronics devices...) can be generated with ease in ODYSSEE.
Replace a complete model with an ODYSSEE representative element for quick parametric studies and faster computation times.
Directly use images and CAD (step, stl) files for modeling and parametric design or production/quality
Process images (JPG and PNG formats) and CAD files (STEP and STL formats) directly in A-Eye. Easily associate these with scalars, curves and labels.
Images can be geometry design views, manufactured parts snapshots or simulation field data.
The capability can be implemented for quality inspection, manufacturing fault detection and forecasting.
Scripting with Quasar or Python
ODYSSEE Solver is built on an object-oriented language called Quasar. But it also supports Python.
- Easy to automate any process or integrate into internal software.
- Quasar is a powerful language, but engineers are familiar with Python. They can access ODYSSEE libraries with maintenance and support.
- Built-in AI/ML, ROM, STATS, OPTIMIZATION, RELIABILITY, FORECASTING, and process monitoring libraries.
- "No-code" access to all the above (very little scripting, just a couple of lines...).
Learn more about ODYSSEE
Collateral
Whitepaper
Emergence of artificial intelligence and machine learning
Whitepaper
Data science and artificial intelligence
Whitepaper
Optimising gearbox performance
Brochure
ODYSSEE Brochure
Brochure
Design & Engineering simulation solutions
Whitepaper
Emergence of artificial intelligence and machine learning
Whitepaper
Data science and artificial intelligence
Whitepaper
Optimising gearbox performance
Brochure
ODYSSEE Brochure
Brochure
Design & Engineering simulation solutions
Whitepaper
Emergence of artificial intelligence and machine learning
Whitepaper
Data science and artificial intelligence
Whitepaper
Optimising gearbox performance
Whitepaper
Optimising gearbox performance
Brochure
ODYSSEE Brochure
Brochure
Design & Engineering simulation solutions
Whitepaper
Emergence of artificial intelligence and machine learning
Whitepaper
Data science and artificial intelligence
Whitepaper
Optimising gearbox performance
Brochure
ODYSSEE Brochure
Brochure
Design & Engineering simulation solutions
Whitepaper
Emergence of artificial intelligence and machine learning
Whitepaper
Data science and artificial intelligence
Whitepaper
Optimising gearbox performance
Case studies
Automotive
AI/ML based trimmed body NTF and global modes prediction and optimisation using ODYSSEE CAE
Energy
Building and running the smartest solar farm in the world
Consumer goods
Bosch Group slashes costs by 60% and reduces calibration time by 90%
Automotive
Optimising gearbox mechanisms
Automotive
Pedestrian protection using the ODYSSEE suite
Automotive
Reduced order modeling of advanced versatile seats
Automotive
Dynamic load prediction of a wheel
Automotive
Exploration of innovative crash structure design trends
Automotive
Injury prediction considering driving posture
Medical
Real-time design of 3D-printed orthopedic insoles
Oil & Gas
Optimisation of casing buckling and deformation responses in shale gas wells
Materials
How to optimise the design of vibration insulators using ML-ROM
Automotive
AI/ML based prediction of crash parameters using ODYSSEE CAE
Automotive
AI/ML based trimmed body NTF and global modes prediction and optimisation using ODYSSEE CAE
Energy
Building and running the smartest solar farm in the world
Consumer goods
Bosch Group slashes costs by 60% and reduces calibration time by 90%
Automotive
Optimising gearbox mechanisms
Automotive
Pedestrian protection using the ODYSSEE suite
Automotive
Reduced order modeling of advanced versatile seats
Automotive
Dynamic load prediction of a wheel
Automotive
Exploration of innovative crash structure design trends
Automotive
Injury prediction considering driving posture
Medical
Real-time design of 3D-printed orthopedic insoles
Oil & Gas
Optimisation of casing buckling and deformation responses in shale gas wells
Materials
How to optimise the design of vibration insulators using ML-ROM
Automotive
AI/ML based prediction of crash parameters using ODYSSEE CAE
Automotive
AI/ML based trimmed body NTF and global modes prediction and optimisation using ODYSSEE CAE
Energy
Building and running the smartest solar farm in the world
Consumer goods
Bosch Group slashes costs by 60% and reduces calibration time by 90%
Automotive
Optimising gearbox mechanisms
Automotive
Optimising gearbox mechanisms
Automotive
Pedestrian protection using the ODYSSEE suite
Automotive
Reduced order modeling of advanced versatile seats
Automotive
Dynamic load prediction of a wheel
Automotive
Exploration of innovative crash structure design trends
Automotive
Injury prediction considering driving posture
Medical
Real-time design of 3D-printed orthopedic insoles
Oil & Gas
Optimisation of casing buckling and deformation responses in shale gas wells
Materials
How to optimise the design of vibration insulators using ML-ROM
Automotive
AI/ML based prediction of crash parameters using ODYSSEE CAE
Automotive
AI/ML based trimmed body NTF and global modes prediction and optimisation using ODYSSEE CAE
Energy
Building and running the smartest solar farm in the world
Consumer goods
Bosch Group slashes costs by 60% and reduces calibration time by 90%
Automotive
Optimising gearbox mechanisms
Automotive
Pedestrian protection using the ODYSSEE suite
Automotive
Reduced order modeling of advanced versatile seats
Automotive
Dynamic load prediction of a wheel
Automotive
Exploration of innovative crash structure design trends
Automotive
Injury prediction considering driving posture
Medical
Real-time design of 3D-printed orthopedic insoles
Oil & Gas
Optimisation of casing buckling and deformation responses in shale gas wells
Materials
How to optimise the design of vibration insulators using ML-ROM
Automotive
AI/ML based prediction of crash parameters using ODYSSEE CAE
Automotive
AI/ML based trimmed body NTF and global modes prediction and optimisation using ODYSSEE CAE
Energy
Building and running the smartest solar farm in the world
Consumer goods
Bosch Group slashes costs by 60% and reduces calibration time by 90%
Automotive
Optimising gearbox mechanisms
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Webinars
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WebinarUsing AI to develop the aircraft of tomorrow
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WebinarTaking advantage of Artificial Intelligence
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WebinarIntegrative simulation workflows...
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WebinarGet CFD results in real-time
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WebinarMachine Learning for Real-time CAE Simulations
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WebinarNavigating the AI/ML Landscape webinars
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WebinarUsing Machine Learning To Make CFD Predictions
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WebinarUsing ML/ROM to Enable CAE, Manufacturing
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WebinarUsing ODYSSEE and Adams in suspension design
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WebinarHigh Value Automotive Applications from Applied ML
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WebinarReal Time Parametric Simulation using ODYSSEE
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WebinarHow to get acoustic performances using machine learning
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WebinarCombining Material Databases and AI
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