Zenerate 2.0 marked a major expansion of the platform's AI-powered real estate feasibility and site planning capabilities. The release introduced more building types, workspace-based AI generation, automated parking layouts, and more precise editing tools for architects, developers, contractors, and commercial real estate teams.
These improvements made it easier to generate and refine early real estate test-fit options without rebuilding an entire site plan after every change. Users gained more control over where AI generation was applied, which building types were included, and how individual components were positioned in the workspace.
This article reviews the features introduced with Zenerate 2.0. To explore the platform's current capabilities, visit the Zenerate App or review the latest Zenerate product updates.
Smarter AI Generation and More Design Possibilities
Zenerate 2.0 expanded the platform's AI site planning software workflow by giving users faster access to generation tools and more control over the areas they wanted to study.
Generate Test Fits Directly From the Workspace
The release added an AI Generate button directly to the workspace. This allowed users to create new test-fit options while actively working on a site instead of leaving the workspace or restarting the project setup process.
Direct access to AI generation created a more iterative workflow. Teams could review a layout, identify an area that needed another approach, generate alternatives, and continue editing within the same project environment.
Expanded AI Building-Type Options
Zenerate 2.0 expanded AI generation to support additional development concepts, including wrap-style, residential-only, and tower layouts. These options gave users more ways to evaluate how different building forms could respond to a site's density targets, parking requirements, unit mix, and physical constraints.
Access to multiple building types is particularly useful during an early land development feasibility study. Rather than assuming one building form from the beginning, teams can compare different concepts and determine which direction better supports the project's physical and financial goals.
Improved Generation for Larger Sites
The generation engines for podium and garden-style developments were also improved to produce site-planning options for larger properties. This helped extend the AI workflow beyond smaller parcels and supported projects requiring multiple buildings, broader circulation networks, larger parking areas, or more complex site organization.
For current guidance on planning larger developments, see How to Create a Master Plan Site in Zenerate.
Targeted Generation With Custom Style
The Custom Style workflow allowed users to generate a new solution for a selected part of a site while preserving the rest of the existing design. Within the selected area, users could adjust inputs such as unit mix, additional uses, room or area requirements, and podium parking conditions.
This made AI generation more useful for targeted design exploration. Instead of replacing a complete layout, teams could focus on one section, test a different planning strategy, and keep the surrounding work intact.
AI-Generated Surface Parking Layouts
Zenerate 2.0 also introduced automated surface parking generation. Users could draw the boundary of the intended parking area and generate a parking layout within the selected space.
Parking can directly affect density, circulation, access, and overall site yield. Including parking layout generation within the feasibility workflow helped users evaluate building and parking relationships earlier instead of treating parking as a separate step after the initial site plan was created.
More Precise Site-Plan Editing
AI-generated options are most useful when users can adapt them to real project requirements. Zenerate 2.0 therefore paired its expanded generation features with editing improvements designed to make early site plans easier to understand and refine.
Satellite View for Better Site Context
Satellite view gave users additional visual context while working on a project. Teams could reference existing site conditions, surrounding buildings, streets, and nearby development patterns while recreating or adjusting structures in the workspace.
This context is useful during site feasibility analysis because a proposed layout must respond not only to the parcel boundary, but also to access, neighboring properties, and the site's surrounding environment.
Snap Tools for Accurate Alignment
The Snap feature improved editing precision by helping design components align with nearby geometry. Instead of positioning every object through visual estimation, users could place buildings and other site components more consistently.
More accurate alignment made it easier to refine generated options and create cleaner site plans for internal reviews, client discussions, and feasibility reports.
Residential Units on Parking Levels
Zenerate 2.0 allowed users to add residential units to parking levels, supporting building configurations where parking and residential program share the same level. This provided additional flexibility when studying podium, wrap-style, and other mixed building arrangements.
The update helped users test how alternative program arrangements could influence unit count, parking capacity, and building efficiency during early design studies.
Faster Component Removal With the Delete Key
Users could delete selected components using the Delete key on their keyboard. Although simple, this shortcut reduced repetitive interface actions and made it faster to remove, replace, and reorganize design elements while testing different layouts.
Why Zenerate 2.0 Mattered for Real Estate Feasibility
Zenerate 2.0 helped move the platform toward a more flexible generative design and feasibility workflow. The release did more than add building types. It connected AI generation more closely with manual site-plan editing, allowing users to generate, review, revise, and regenerate options without treating each study as a separate process.
For architects and developers, this meant greater flexibility when comparing density, building form, parking, unit mix, and site organization. For contractors and commercial real estate professionals, it created a clearer way to explore development potential before a project moved into detailed design or preconstruction.
The platform has continued to evolve since this release. For a current overview of the complete workflow, read How to Perform a Real Estate Feasibility Study Using AI.
Explore What Zenerate Can Do Today
Zenerate now combines AI-generated site plans, editable building and parking layouts, zoning-related project inputs, financial pro forma analysis, AI rendering, and multiple export formats within one real estate feasibility platform.
Ready to evaluate a current site? Explore Zenerate's plans and start a seven-day free trial, or contact the Zenerate team to discuss your development workflow.
For product questions or feedback, email product@zenerate.ai.
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