Designing tools for researchers who think spatially but work with unstructured, constantly evolving data sets. Standard interface paradigms were too rigid — the tool needed to adapt to the shape of the thinking, not impose a shape on it.

We built adaptive interface modules that respond to data density and context — expanding when needed, collapsing when not. The underlying architecture uses a flexible grid that researchers can reconfigure without breaking the visual logic of the system.

A deployed research interface now used by researchers at three university architecture labs. Cited in a 2024 Architectural Research Network paper on computational design workflows.