I'm excited to be speaking at CDFAM Amsterdam, happening July 9–10, 2025, where I’ll share how we at Datameister are applying constraint-aware generative AI to real-world design challenges—starting in automotive, and now branching into architecture, consumer electronics, and beyond.
Generative design is often talked about as a creative revolution—but in practice, most tools either ignore the constraints that engineers live with, or only validate feasibility after the fact. At Datameister, we’ve taken a different route. As I explained in my recent CDFAM interview:
“Instead of generating something and checking feasibility after the fact, the designer is co-creating with a system that already understands the constraints—structural, ergonomic, regulatory, whatever they may be.” - Ruben Verhack, CEO Datameister
Rather than pushing a generic model onto every workflow, we develop application-specific tools that embed domain constraints up front—enabling designers and engineers to collaborate with AI systems that understand the rules of the game before play even begins.
This is especially important in fields like automotive, where every bold design gesture must fit within tightly coupled systems—crash structure, visibility requirements, aerodynamics, and platform geometry. But it’s not just about cars.
In architecture, for example, early massing decisions often get locked in before regulations or budgets are fully known—leading to massive rework downstream. In consumer electronics, once layout and thermal constraints are defined, altering enclosures becomes prohibitively expensive late in the process. This kind of design lock-in is a structural issue across industries, and our tools aim to break that cycle by decoupling dependencies and enabling earlier, faster, lower-risk iteration.
By integrating real constraints directly into the design generation process, we allow teams to explore more—and backtrack less.
The real shift, though, is in the role of AI: not as a black box, but as a co-creator. One that gives designers immediate, constraint-aware feedback and frees engineers to become enablers, not gatekeepers. As I describe in the interview, this turns design into a much more fluid, collaborative, and expressive process.
Read the full interview here to dive deeper into our approach, or catch my talk at CDFAM to see how this works in practice.
And if you're working with simulation, optimization, or engineering automation—especially in high-constraint environments—I’d love to connect in Amsterdam.
