Client: VodafoneZiggo

As part of an exploration into the future of brand imagery, we partnered with VodafoneZiggo to investigate how generative AI could reshape and scale their visual ecosystem.

The assignment focused on expanding their stock library through AI-driven image creation, not as a replacement for traditional photography but as a complementary system capable of producing consistent, on-brand visuals at speed and scale.

We began by analyzing existing brand assets: composition, lighting, color behavior, subject matter and tone. These insights formed the foundation for training and guiding large language models and generative image systems to accurately reflect the brand’s visual identity, creating a different grading for office, retail-and outdoor photography without losing the visual signature.

From there we developed a series of visual directions that could function as modular building blocks, ranging from everyday scenarios to more abstract, concept-driven imagery. Each direction was designed to be flexible, allowing for rapid iteration while maintaining a coherent look and feel.

A key part of the process was testing how far the system could stretch: generating variations, introducing new contexts, and exploring unexpected compositions, all while staying within recognizable brand boundaries. This balance between control and unpredictability became central to the output.

The result is a scalable, evolving image library. One that enables faster production, broader creative exploration and greater consistency across channels.