AI for instant data-driven design decisions
The AI engineering platform for instant design predictions, sustainable AI/ML training, and trusted data governance.
Instant, trusted predictions
nDAI provides a robust data governance framework that gives engineering teams fine-grained control over how to train and use AI for engineering simulation design. Ensure full traceability of training data and version control of every trained model.
Built for simulation engineers, nDAI manages the entire AI simulation lifecycle — from data preparation and model training to deployment and governance. Automate data-driven AI/ML workflows, train surrogate models across 0D to 3D CAE problems, and deliver fast predictions to a broader audience, without sacrificing accuracy, traceability, or control.
The result: faster design exploration, lower simulation effort, and AI/ML you can trust for engineering decisions.
nDAI benefits
nDAI helps engineering teams capture the value of physics-based simulations once and reuse it throughout the design process, dramatically reducing computational engineering costs and time-to-insight.
Orchestrate reduced order models (ROM) and geometric deep learning (DL) workflows from data preparation through deployment. Manage the entire AI/ML lifecycle with complete data governance and digital thread connectivity.
Built-in modular applications automatically prepare and enrich simulation data. Eliminate application switching and streamline your workflow — from raw data to deployment-ready models — fueling more efficient AI-driven design optimization.
Build surrogates of 0D/1D/2D/3D CAE solutions using advanced ML methods. Maximize the value of physics simulation while cutting computational costs by orders of magnitude.
Put AI prediction capabilities in the hands of non-experts. Evaluate and validate hundreds of design variations in minutes with intuitive data analysis and visualization tools.
Maintain fine-grained control over data preparation and AI/ML training, with full traceability and version control across all trained models.
What is nD Modeler?
The nD Modeler app allows simulation engineers to build, tune, and deploy AI/ML models — from ROM to DL — directly from simulation data.
It manages training and validation across physics domains, with side-by-side comparisons to help you choose the most accurate and data-efficient solution for your design challenge.
How nD Modeler app works for you
Consume AI/ML model training with ESTECO software solutions or as a standalone application.
Perform AI/ML training in modeFRONTIER
Launch nD Modeler directly from your current modeFRONTIER project and use any design space table as the training dataset.
Scale AI/ML training in VOLTA
Govern and manage trained nD Modeler AI/ML models, enabling deployment and consumption within a SPDM environment.
Connect AI/ML training with your Python ecosystem
Load trained AI/ML models in Python and build custom end-to-end prediction pipelines.
Industry applications
nDAI supports AI engineering simulation design across industries, enabling instant predictions, sustainable model training, and governed data workflows.
