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Kolega

AI-powered generative design for residential site planning

Generative design platform using AI and genetic algorithms to automatically generate optimized site layouts, floor plans, and building massing solutions. Analyzes sunlight exposure, building spacing, zoning constraints, and density requirements to produce feasible design alternatives in minutes instead of days.

Not publicly specified raisedEarly Stage
Founded Not publicly specified · Not publicly specified (beta testing phase)
Website →← All Tools

Why This Tool Exists

The Problem

Architects and urban planners spend 40+ hours manually testing site configurations and building placements during feasibility studies. Iterating through different heights, densities, orientations, and constraints delays project timelines and prevents exploration of multiple design alternatives. This tedious manual work often results in suboptimal solutions and missed project deadlines.

The Solution

Automatically generates 20+ optimized site layouts in under one hour using genetic algorithms and machine learning. Analyzes sunlight exposure, building spacing, density requirements, and height constraints in real-time to produce feasible design alternatives. Architects review and compare options in minutes instead of days, with full BIM-ready exports for downstream design development.

How You Use It

Delivery Method
SaaSPlugin
Integrations
RevitAutodesk
Project Phases
Concept Design, Design Development, Site Planning
Project Types
Residential, Mixed-Use, Multifamily

Data Transparency

Exactly what this tool uses and how

Input
What it needs
Required:Site plot geometry, Location data, Building parameters
Optional:Surrounding context data, Zoning regulations, Solar orientation, Density targets, Height constraints
Formats:DXF, CAD data, Geographic coordinates
Output
What you get
Format:Optimized layout designs with analysis metrics
Fields:Building layouts and floor plans, Sunlight exposure analysis, Height and massing solutions, Density calculations (floor area, unit count), Site utilization metrics, Design variant comparisons
Algorithm
How it works
Model:Genetic algorithms combined with machine learning models
Accuracy:Not publicly specified
Privacy
How your data is protected
Retention:Project-based retention (duration not specified)
Training:Not publicly specified
Compliance:GDPR-compliant (claimed), Local processing option available (calculations run locally, no cloud uploads for sensitive projects)
API
Integration
Endpoint:Contact vendor for API access
Method:Not publicly documented

Use Cases

  • ·Early-stage feasibility studies for residential and multifamily projects
  • ·Rapid site layout optimization exploring multiple building placements
  • ·Sunlight and orientation analysis for livability and energy performance
  • ·Density and massing analysis for urban planning and zoning compliance
  • ·Design alternative exploration during concept and schematic phases
  • ·BIM-ready design export for seamless hand-off to detailed design development

Pricing

Free
7-30 day free trial (no credit card required)
Pro
Standard: €90/month (unlimited projects for sites <10,000 m²) | Professional: €220/month (unlimited projects and site area)
Enterprise
Contact for enterprise pricing with dedicated onboarding and support
Sources & Research NotesResearch date: 2026-04-04
Fields Checked (13)
problem, solution, deliveryMethod, integrations, disciplines, projectPhases, projectTypes, pricing, algorithm-approach, input-formats, output-structure, useCases, control-features
Not Found (9)
yearFounded, customerBase, fundingTotal, api-documentation, soc2-certification, detailed-privacy-policy, data-retention-specifics, algorithm-accuracy, iso27001-compliance
About this research: This record summarizes the cited sources and fields checked. A research date does not establish hands-on testing. Consult the original sources for current details and limitations.