Versur is an AI workflow platform for architects, computational designers and design-led studios. Teams build multi-agent design workflows on a visual, no-code canvas, often by describing them in plain language, and publish them to colleagues as chat-based Studios. A Brain feature indexes a firm's projects, decisions and files as a knowledge graph, and a local Bridge connects workflows to Rhino, Grasshopper, Revit and on-machine models so sensitive data can stay in-house.
Versur is an AI platform that lets architecture and design studios build, reuse and share their own AI-driven design processes. It was founded by Daniel Bolojan, an architect and researcher in computational design who previously developed neural networks and applications for Coop Himmelb(l)au and co-authored The AI Design Revolution. Instead of offering a single image generator, Versur gives studios a canvas for assembling agents and workflows around their own knowledge and standards.
A design technologist or architect describes a task, such as generating massing options against a set of constraints, and Versur assembles the workflow on the canvas. The workflow can draw on the studio's Brain for past decisions and standards, then be edited node by node rather than rebuilt. Once it works, it can be deployed as a Studio so non-technical colleagues use it through chat.
Versur is aimed at architecture practices, computational design teams and design technology leads who want to capture institutional knowledge and turn repeatable design tasks into governed, shareable AI tools, with the option to keep data on their own machines.
Versur is an AI platform that lets architecture and design studios build, reuse and share their own AI-driven design processes. It was founded by Daniel Bolojan, an architect and researcher in computational design who previously developed neural networks and applications for Coop Himmelb(l)au and co-authored The AI Design Revolution. Instead of offering a single image generator, Versur gives studios a canvas for assembling agents and workflows around their own knowledge and standards.
A design technologist or architect describes a task, such as generating massing options against a set of constraints, and Versur assembles the workflow on the canvas. The workflow can draw on the studio's Brain for past decisions and standards, then be edited node by node rather than rebuilt. Once it works, it can be deployed as a Studio so non-technical colleagues use it through chat.
Versur is aimed at architecture practices, computational design teams and design technology leads who want to capture institutional knowledge and turn repeatable design tasks into governed, shareable AI tools, with the option to keep data on their own machines.
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