texfash: Variloom’s proposition is not simply faster weaving, but a reconfiguration of how textiles are conceived and executed. From a design and development standpoint, where does programmable weaving meaningfully alter the development curve — sampling, iteration, construction logic — and where does it still collide with legacy apparel workflows?
Bethany Meuleners: Programmable textile development shifts the development curve by allowing designers to iterate digitally before producing physical samples, which enables faster exploration of different constructions and material behaviors. Instead of relying on multiple rounds of traditional sampling, teams can test variations quickly and move into targeted physical prototypes, making iteration and refinement much faster. It also opens up more variation in how materials are constructed and allows different development workflows to be combined into a single process.
Highly engineered textile platforms often falter when the interface between machine capability and creative intent is poorly translated. In building out your design and development processes, how have you ensured that the system empowers textile designers rather than forcing them to adapt to a rigid technological framework?
Bethany Meuleners: At Variloom, we focus heavily on understanding the end customer, the intended use of the product, and the needs of our partners from the start of the design process. Defining both the creative goals and the technical parameters early helps ensure that the system supports better design outcomes rather than constraining them. A key part of our process is translating between the design language of 3D printing and that of traditional textiles, so designers can work better within the medium. Our goal is not to replace existing textile options but to expand what is possible by creating new material opportunities that still align with how designers think about garments and products.
The industry frequently invokes “on-demand” and “localised production” as corrective measures to overproduction. In operational terms, how realistic is that shift within the constraints of brand calendars, cost expectations, and material sourcing norms? Where does the friction remain most acute?
Bethany Meuleners: On-demand and localised production can help address overproduction, but they are only part of the solution. These models also need to connect to how materials are developed, produced, and delivered, which requires broader shifts in supply chains and expectations around lead times. Changing these systems takes time, especially for brands that operate on fixed calendars and tight cost structures. Some of the most acute friction remains around cost and adoption. New technologies can initially be more expensive, while brands continue to face pressure to keep retail prices low. Because of this, even when the benefits are clear, integrating new production models into existing apparel workflows can take time.