Kolega harnesses AI for site feasibility

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Standalone and Revit-based software offers an ‘automated generative process’ to aid architects and site developers

Kolega, a new site feasibility software that uses genetic algorithms and machine learning models to generate spatial urban layouts and floor plans, is gearing up for its beta release. The software is available both as a standalone tool and a Revit add-on.

In terms of workflow, the user provides geometrical data, target site parameters and architectural preferences, then the software performs the ‘time-consuming and detailed analysis’ for architects and site developers.

Solutions are generated in real-time, calculating sun access, obscuring results, and creating geometrical output. Solutions can be calculated up to five seconds each, allowing the user to finish the process at any moment.

All the results are analysed and presented. The user can then select the preferred design and export geometry, data (DXF, Revit, and .BIM) and reports (PDF and HTML) to continue work on the project and take informed and data-driven decisions.

With Kolega, all data is stored locally. Designbotic, the developer of the software, explains that it does not have any access to any project information.

The software is currently in the alpha testing phase. Users are invited to join the waiting list for beta testing, starting at the end of January 2024.

Kolega is available as a standalone tool or Revit add-on


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