Many people today criticize Text-to-CAD by making some variation of the following arguments: * Describing complex geometry with natural language is difficult. * AI tools are not good enough to generate an entire jet engine, car, or aircraft in a single prompt. * Design intent is not preserved in common formats like STL
There's a belief deeply embedded in engineering culture: the more "Manual" control you have over a 3D model; every radius, every edge, every connection point; the better the outcome. More control equals better design. We think this is wrong. And here's why. Why Engineers
It is difficult to prognose the future. Nowadays, it is even difficult to know what will happen next year. Political shifts, environmental change, and technological breakthroughs interact in unpredictable ways. From known unknowns—such as the pace of a specific technology’s development—to unknown unknowns—like the sudden emergence
People like to stick to habits. They feel safe, familiar, and give us confidence in what we already know. That comfort is often useful; but it can also hold us back from building something new and better. Nowhere is this tension clearer than in today’s AI interfaces. Large Language
One common mistake with new technologies is to simply layer new features on top of existing ones, without rethinking the design from the ground up. Early automobiles, for example, closely resembled horse-drawn carriages. Part of this was due to cost and familiarity with existing manufacturing methods, but a deeper reason
At Kyrall, we’re building the future of 3D functional design. Our software automates the process of turning ideas into manufacturable parts fast, intuitive, and with real-world constraints in mind. No more struggling with clunky CAD tools. Whether you're designing for hardware, robotics, or industrial systems, Kyrall helps