Articles & Insights

For the first time, AI agents can autonomously execute full optimization loops: from design space definition to manufacturing-ready geometry, with deterministic accuracy. This article explores what changes when engineers finally move from modeling to steering.

Learn how manufacturing agnosticism eliminates process lock-in, enabling engineers to compare multiple manufacturing processes trade-offs in hours instead of weeks.

Compare implicit modeling and B-rep for mechanical design. Learn when each geometry paradigm excels, and how leading teams combine both for 10x faster concept engineering.

This article examines the five systemic bottlenecks preventing generative design adoption and introduces Cognitive Design 2.0, an advanced parametric design exploration platform built to solve each one. Engineering leaders will learn why conventional approaches fall short and how a new generation of on-premises, manufacturing-aware tools is finally delivering on generative design's original promise.

As industries push the boundaries of product innovation, the pressure on design engineers to deliver faster, more efficient solutions is greater than ever. Traditional design methods, often reliant on trial and error, struggle to meet the growing demands for precision, speed, and cost-effectiveness.

In today's fast-paced product development world, designing a product that looks good on paper is just the beginning. The real challenge is ensuring that these designs can be manufactured efficiently, cost-effectively, and with high quality.

In the rapidly evolving world of engineering and design, lightweighting has become a pivotal strategy for improving product performance, reducing costs, and advancing sustainability. For Design Engineers and designers, mastering the art of lightweighting not only enhances the efficiency of your designs but also aligns with industry trends and regulatory demands. In this article, we will delve into the concept of lightweighting, explore its significance, and provide practical methods for achieving it through design optimization.