The Future of CATIA: AI and CAD

Imagine seamlessly integrating the features of an LLM with the power of design software. From prompt engineering of input parameters in a phase space of anything from equations and charts to words and notions, to an output of lines, curves, edges, planes, vertices, extrusions, parts, and assemblies, the possibilities of a mathematical and design model using machine learning are the future. A good way to think about the practicality is by envisioning the drop down menus in CATIA and the shortcut keystrokes as now connecting to a new back panel software add-on or macro. In a new drop down menu, the user is given a choice of design, simulation, or measurement options which correlate to complete schematics, parts, assemblies, charts, graphs, and diagrams. The output is controlled in much the same way as the current LLM model but the neural network utilizes inputs from the CATIA (or CAD) program in such a way as to optimize output variables based upon prompt selections or parameters. In this way, a user can describe in words a shape or a part, then the software builds the schematic. The schematic is editable and within the parameter space of the controlling software, be it CATIA or any other program.

The future of CAD is artificial intelligence and integration with software engineering and design specifications set forth by modeling firms seeking quick results and efficient work. What once took armies of engineers to do, will now take maybe one or two designers, maybe not even any if general A.I. comes to fruition. General Physics plans to collaborate with the CAD design teams' future goals of modeling with A.I. and you should look for more information in the future from our consulting and A.I. divisions.