Engineering Intelligence for Automotive: 3D Verification, DFM & Cost-Driven Design

In this webinar, Dessia Technologies and its partner GT Solve will demonstrate how Engineering Intelligence can bring 3D Verification & Validation, Design for Manufacturing (DFM) and cost considerations directly into the engineering design process. Through a practical automotive use case, the session will show how engineering teams can verify 3D designs more efficiently, integrate manufacturability criteria into design decisions, consider cost implications earlier in development, reduce design iterations and accelerate engineering decisions.

In this webinar, Dessia explores harness design as a constraint-driven, rule-based engineering workflow, applicable to both electrical harnesses and piping systems. The focus is on maintaining consistency across space, interfaces, and physical integration—early enough to avoid costly downstream rework. You’ll see how AI-driven design generation changes the game: instead of validating a single routing solution late in the process, designers can generate, compare, and assess multiple compliant routing options under the same set of engineering constraints. This multi-option approach enables faster convergence, clearer trade-offs, and more confident design decisions upstream.

Design teams sit on massive volumes of 3D data, yet most of it remains unused. This webinar shows how AI can recognize components and assemblies, retrieve key attributes, interpret functional roles, and enable efficient design reuse across engineering contexts. You’ll discover how AI identifies similar parts, clusters families, detects constraints, and brings clarity to reuse. Learn how to turn raw 3D models into structured knowledge, accelerate reuse across variants, reduce engineering time, and make smarter decisions by leveraging your existing 3D data.