Reduce Costs
Optimize processes, predict maintenance needs, and minimize waste.
AI-powered simulation and production
AI-powered simulation and production
ODYSSEE is an AI-powered CAE platform that accelerates model creation, prediction, and optimization using reduced-order models and machine learning. It enables engineers to explore complex multiphysics behavior in real time, delivering faster design decisions with high accuracy.
Optimize processes, predict maintenance needs, and minimize waste.
Use predictive analysis and optimization through AI/ML algorithms to make data-driven decisions.
Identify patterns and trends in data that allow faster predictions and forecasts.
Take advantage of adaptive learning for continuous improvement.
Use scalability to handle large or complex data sets and processes.
ODYSSEE helps you prepare and model data for numerous applications, making it easy to use with your internal systems for fast outcomes.
Use ML and reduced order modeling to extract the most important features from your data.
ODYSSEE CAE proposes dedicated parsers and a multipurpose generic parser adaptable to any software.
Algorithms for DOE sampling improves space-filling and generates results in real-time.
Generate parametric superelements and parametric FMUs for faster studies and computations.
Process images directly from ODYSSEE A-Eye for quality inspection, manufacturing fault detection or forecasting.
Automate or integrate processes into your internal software seamlessly.
ODYSSEE CAE ODYSSEE A-Eye ODYSSEE Explore
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 modeling.
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 Explore is an application for exploratory data analysis and data visualization. It allows users to perform data pre-processing and feature engineering before using the data for machine learning.
Contact NEAX for the latest product information, suitability, deployment scope, and implementation guidance.
Talk with NEAX about product fit, deployment scope, integration, training, and adoption.