Kolega is a cutting-edge generative design platform developed for architects, urban planners, and developers to streamline early-stage site planning and feasibility studies. Using artificial intelligence and genetic algorithms, the tool rapidly produces optimized layout options based on a range of user-defined inputs, such as plot geometry, zoning regulations, building heights, density requirements, solar exposure, and floor area ratios.
At its core, Kolega is built to support better, faster decision-making. Instead of spending hours manually testing configurations, users can input site parameters and generate multiple design alternatives within minutes. Each option is analyzed and scored against key metrics, including sunlight exposure, overshadowing, height distribution, and total floor area. Results are presented in a user-friendly interface with side-by-side 2D and 3D visualizations, enabling design teams to easily compare schemes and select the most promising ones for further development.
Once a layout is selected, users can export it in various formats including PDF, DXF, BIM-compatible files, and HTML—making Kolega compatible with popular software like Revit and other digital design platforms. This seamless integration helps bridge the gap between concept development and detailed design.
A standout feature of Kolega is its commitment to data privacy. All calculations and processing are done locally on the user's device, which is particularly beneficial for projects that involve sensitive or confidential data.
Kolega also emphasizes speed and iteration. It’s capable of producing 20+ optimized layouts in under an hour, empowering users to quickly explore a wide design space and test different trade-offs. This helps uncover the most effective design responses for complex urban conditions, without sacrificing quality or compliance.
Currently in its beta phase, Kolega is being tested by a select group of industry professionals who are already seeing value in its ability to accelerate planning and feasibility processes. Whether evaluating development potential, optimizing massing, or navigating local constraints, Kolega offers a powerful and intuitive tool for next-gen AEC workflows. It brings together data, design, and automation to help teams make more confident decisions—faster.
Kolega is a cutting-edge generative design platform developed for architects, urban planners, and developers to streamline early-stage site planning and feasibility studies. Using artificial intelligence and genetic algorithms, the tool rapidly produces optimized layout options based on a range of user-defined inputs, such as plot geometry, zoning regulations, building heights, density requirements, solar exposure, and floor area ratios.
At its core, Kolega is built to support better, faster decision-making. Instead of spending hours manually testing configurations, users can input site parameters and generate multiple design alternatives within minutes. Each option is analyzed and scored against key metrics, including sunlight exposure, overshadowing, height distribution, and total floor area. Results are presented in a user-friendly interface with side-by-side 2D and 3D visualizations, enabling design teams to easily compare schemes and select the most promising ones for further development.
Once a layout is selected, users can export it in various formats including PDF, DXF, BIM-compatible files, and HTML—making Kolega compatible with popular software like Revit and other digital design platforms. This seamless integration helps bridge the gap between concept development and detailed design.
A standout feature of Kolega is its commitment to data privacy. All calculations and processing are done locally on the user's device, which is particularly beneficial for projects that involve sensitive or confidential data.
Kolega also emphasizes speed and iteration. It’s capable of producing 20+ optimized layouts in under an hour, empowering users to quickly explore a wide design space and test different trade-offs. This helps uncover the most effective design responses for complex urban conditions, without sacrificing quality or compliance.
Currently in its beta phase, Kolega is being tested by a select group of industry professionals who are already seeing value in its ability to accelerate planning and feasibility processes. Whether evaluating development potential, optimizing massing, or navigating local constraints, Kolega offers a powerful and intuitive tool for next-gen AEC workflows. It brings together data, design, and automation to help teams make more confident decisions—faster.
This article features an interview with the founders of Kolega, an AI-driven generative design tool for architects. Primarily designed for multi-family residential projects, Kolega expedites design iterations and performs tasks like sunlight and obstruction analysis, saving valuable time without compromising project requirements.
See how Kolega stacks up against similar tools before you decide.
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