DEP MeshWorks

Uses CNNs, GNNs, and PINNs to generate intelligent design recommendations and predictive modeling.

Enables direct work with CAD/CAE models from any platform without compatibility issues.

Offers automated and template-based 2D/3D meshing to simplify complex geometry handling.

Converts simulation models into parameterized designs for faster what-if analyses and optimization.

Performs geometry transformations directly on FE models for instant design modifications.

Speeds up early-stage modeling and conceptual design development using simplified geometry creation tools.

Integrates design exploration, solver execution, and performance evaluation within one environment.

Customizes and automates repetitive CAE processes for improved productivity and error reduction.

Includes an in-built post-processor to analyze, visualize, and compare simulation outcomes efficiently.

Simplifies computationally expensive simulations into fast surrogate models.

Creates real-time digital replicas of physical assets to simulate, predict, and optimize performance.

Focuses on EV design optimization, covering batteries, powertrains, and e-motor modeling.

Learns from historical simulation data to predict outcomes and improve future designs.

Allows users to create customized workflows for repeatable simulation processes.

Enables complete vehicle-level mass, stiffness, and durability optimization studies.

Provides detailed control for geometry morphing at both part and assembly levels.

Offers advanced CAE simulation tools for diverse materials including plastics and metals.

Includes high-quality graphics for simulation review and engineering presentations.

Provides pre-configured templates for specific domains such as aerospace, healthcare, and automotive.

Uses machine learning to interpret simulation outcomes and recommend design adjustments.