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Zenerate

AI-powered generative design for real estate feasibility

AI-driven feasibility tool that generates thousands of optimized building design options in real-time, analyzes financial outcomes, and identifies the highest-return designs for land development projects. Reduces feasibility study time from weeks to hours.

$18.41M raisedGrowth Stage
Founded 2020 · SoLa Impact (affordable housing partner), regional developers (exact count not disclosed)
Website →← All Tools

Why This Tool Exists

The Problem

Real estate developers spend weeks on manual feasibility studies, testing a handful of design alternatives at a time. This slow process delays project decisions and prevents teams from identifying truly optimal designs. Architects and developers struggle to balance competing constraints (FAR, unit mix, parking, ROI) while exploring market-driven variations.

The Solution

Generative AI engine creates 50,000+ design options in real-time, automatically optimizing for user-specified objectives (FAR, unit count, floors, unit mix). Financial analysis applies market-driven premiums (views, height, daylight) to identify the highest-return design. Exports directly to Revit, AutoCAD, Excel, and PDF for immediate use in design development.

How You Use It

Delivery Method
SaaSWeb Application
Integrations
Revit (export)AutoCAD (export)Excel (export)PDF reporting
Disciplines
Project Phases
Pre-Design, Schematic Design
Project Types
Commercial, Residential, Mixed-Use, Multifamily Housing

Data Transparency

Exactly what this tool uses and how

Input
What it needs
Required:Project objectives (FAR, unit count, floors), Site constraints
Optional:Unit mix preferences, Parking requirements, Construction costs, Market rental/sale data, Design standards
Formats:Web form input, Spreadsheet import (Excel), Interactive parameter sliders
Output
What you get
Format:Ranked design options with financial analysis
Fields:Site plans and floor plans, Building layout and massing variations, Parking layout options, Unit mix combinations, NOI (Net Operating Income) projections, Cost estimates and yield on cost, FAR and density metrics, Market-adjusted revenue scenarios
Algorithm
How it works
Model:Proprietary generative design engine (specific architecture not publicly disclosed)
Accuracy:Not publicly specified; case study demonstrated $1M NOI increase by selecting optimized design from 15,000 options
Privacy
How your data is protected
Retention:Not publicly specified
Training:Not publicly specified
Compliance:GDPR-compliant (for EU data subjects), Terms note not designed for HIPAA or GLBA regulated industries
API
Integration
Endpoint:Contact vendor for API access
Method:Not publicly documented

Use Cases

  • ·Rapid exploration of site development potential during land acquisition evaluation
  • ·Feasibility analysis for affordable/modular housing projects (documented SoLa Impact partnership)
  • ·Design alternative comparison for early-phase schematic design
  • ·Market scenario testing with different rental rates, unit mixes, and construction costs
  • ·ROI optimization across competing project constraints and objectives
  • ·Automated site plan and floor plan generation for initial design presentations

Pricing

Free
2-week free trial available
Pro
Not publicly specified
Enterprise
Contact vendor for pricing (annual or monthly subscription available)
Sources & Research NotesResearch date: 2026-04-03
Fields Checked (22)
problem, solution, deliveryMethod, integrations, disciplines, projectPhases, projectTypes, yearFounded, maturityStage, fundingTotal, input-required, input-optional, input-formats, output-format, output-fields, output-structure, algorithm-approach, algorithm-model, control-features, useCases, privacy-location, privacy-compliance
Not Found (9)
pricing-exact-amounts, api-documentation, api-authentication-type, data-retention-days, data-training-practices, soc2-certification, iso27001-certification, customer-base-exact-count, algorithm-accuracy-metrics
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.