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ESTECO unveils the new VOLTA, modeFRONTIER and nDAI 2026R1. modeFRONTIER introduces nD Modeler, the app within the new ESTECO’s nDAI platform for building data-driven models for instant design predictions. VOLTA makes the Data Manager more intuitive and customizable.
ESTECO announces the release of nD Modeler, the first addition to the new ESTECO’s nDAI platform for instant design predictions, sustainable AI/ML training and data governance. The nD Modeler allows users to build, compare, and train surrogate models directly from existing simulation data, helping users choose the right AI/ML approach based on accuracy, data availability, and design goals.
nD Modeler is now fully integrated with modeFRONTIER, allowing users to launch it directly from a current project and use any Design Space table as the training dataset.
The navigation pane now features a dedicated Teams section, joining My Files, Shared with Me, Starred, and Trash. You can reduce the number of clicks required to reach the areas used the most. Every section in the navigation pane is now expandable. Users can quickly browse and navigate to teams, files, and folders directly from the sidebar. With the new Teams section users can also add a description in the Details panel, to explain the team’s purpose, scope, or ownership.
For other new features refer to the release notes included in the software updates.
Sources: Press materials received from the company and additional information gleaned from the company’s website.


With almost 20 years’ experience, the company supports leading organizations in designing the products of the future, today. Our smart engineering suite brings enterprise-wide solutions for design optimization, simulation data management and…
Moving to Collaborative, Simulation-Led Engineering
Simulation is an important part of any enterprise’s quest to create better products, more quickly. Optimizing early in a design cycle can jump-start innovation, enabling the team to explore more alternatives, more quickly — and to make trade-offs based on physical data rather than on gut feel.
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