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AI can describe a layout, but real estate development requires plans that physically work. Spatial reasoning — geometry, setbacks, parking, and density — is the limitation AI must solve to be useful for feasibility.

Learn how to create a master plan site in Zenerate using a 12-acre example, from zoning setup and layout zones to AI test fits, manual editing, parking types, and financial pro forma inputs.

Zenerate's latest update brings AI concept generation into Workspace, adds Zoneomics zoning data, partial mid-rise regeneration, condo financial analysis, and multi-building editing.

Unit mix affects far more than percentages — it shapes building layout, parking demand, floor plate efficiency, market positioning, and financial performance in real estate feasibility.

Zenerate’s Unit Library lets users view, sort, filter, search, select, edit, and organize typical residential units during a real estate feasibility study.

Denver-based Pivotal Architecture used Zenerate to generate and evaluate townhome and active adult development concepts for a 3.45-acre site in hours instead of days.