Depix is positioning itself at the forefront of AI-driven visualization by introducing software that deeply integrates artificial intelligence into the entire design imagery process. Philip Lunn, the company’s CEO and a veteran of real-time rendering innovation, argues that traditional rendering has become obsolete, as AI now enables the production of high-quality visual outputs far more quickly and seamlessly than before. Unlike legacy tools that require long render times and manual adjustments, Depix’s end-to-end workflow uses AI from initial planning through to final presentation, dramatically shortening the time between concept and finished visuals, tells Develop 3D.
The Depix approach applies machine learning to many creative tasks that traditionally required hours or even days of a designer’s time. With AI managing lighting, textures, camera settings, and scene composition, a single visual scene can be generated in minutes rather than hours. The system also allows designers to iterate rapidly, adjusting colors or specific design features with immediate visual feedback. This enables engineers, product designers, and visual artists to spend more of their time on creative decision-making instead of technical rendering tasks.
Depix’s team brings together deep industry experience in 3D data capture, visualization, and extended reality, and this background influences the tool’s design philosophy. The software lets users move beyond basic render engines to a platform that supports design exploration and presentation with minimal setup. Even as generative content becomes more widespread, Lunn emphasizes that human connections and judgment remain central; AI is a tool that accelerates workflows but doesn’t replace the creative insight brought by designers.
Depix currently runs on powerful AI engines such as Google’s Nano Banana Pro, but its architecture allows switching to other foundational models as they evolve. By building on top of existing large model frameworks, Depix aims to remain adaptable and competitive as generative AI technology continues to advance.