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Archistar

AI-powered site discovery and generative building design

AI platform that consolidates zoning and planning data from 25,000+ sources and uses generative design to rapidly create 3D building options that comply with local regulations, automating site discovery and design iteration for property developers and architects.

$22.7M raisedEstablished
Founded 2010 · Used by 30+ cities and government entities including LA County, City of Los Angeles, Austin, NYC; 1000+ property professionals; City of Austin official permit partner
Website →← All Tools
WHY IT EXISTS

Why This Tool Exists

The Problem

Property developers and architects spend days manually researching zoning rules, planning requirements, and permitted uses for each site, then weeks manually generating multiple design concepts. Inconsistent planning rule interpretation delays projects, and assessing development potential requires consolidating data from 25+ different government and property sources.

The Solution

Consolidates planning data from 25,000+ government and property sources into one platform. Generative design engine uses AI to automatically create hundreds of 3D building options that comply with local zoning and planning codes in minutes. Developers see immediately what can be built on a site with full compliance analysis (sunlight, ventilation, density, spacing) without manual research.

USAGE

How You Use It

Delivery Method
SaaSAPIMobile App
Integrations
MapboxNearmapCordellCoreLogicDomain
Disciplines
Architecture, Urban Planning
Workflows
Planning & Feasibility
Project Phases
Pre-Design, Schematic Design, Feasibility Analysis
Project Types
Residential, Commercial, Mixed-Use, Industrial
TRANSPARENCY

Data Transparency

Exactly what this tool uses and how

Input
What it needs
Required:Property address or coordinates, Geographic location (state/region)
Optional:Site photos, Existing building data, Custom design constraints
Formats:Web interface, API calls, Mobile app uploads
Output
What you get
Format:Development Due Diligence reports, 3D design visualizations, compliance analysis
Fields:Zoning classification and planning rules, Maximum building height and floor space ratio, Permitted uses and density limits, 3D building design options (hundreds of iterations), Sunlight and shadowing analysis, Cross-ventilation and privacy compliance assessment, Floorplate and dwelling mix analysis, Market data and comparable properties
Algorithm
How it works
Model:Proprietary machine learning system trained on 15+ years of planning data
Accuracy:Design compliance verified against local planning rules; accuracy not publicly specified
Privacy
How your data is protected
Retention:Project data retained in user account indefinitely with user deletion control
Training:Not publicly specified whether production data used for model training
Compliance:GDPR compliant, Australian Privacy Act compliant, Canadian PIPEDA compliant, SOC 2 (Trust Center available but report not publicly disclosed)
API
Integration
Endpoint:https://docs.archistar.ai/
Method:REST API with webhooks
Webhook support available
USE CASES

Use Cases

  • ·Property developers identifying ideal development sites and assessing development potential
  • ·Architects rapidly generating and evaluating multiple design options against constraints
  • ·Government agencies automating building permit pre-assessment (eCheck)
  • ·Real estate investors analyzing portfolios of potential sites
  • ·Urban planners conducting regulatory feasibility analysis
PRICING

Pricing

Free
Free tier with basic site summaries, zoning visualization, unlimited 3D design generation
Pro
$95/month (Basic - one state access, site size ≤2,000m²) to $345/month (Professional - one state, unlimited size, advanced analytics) or $595/month (National - all Australian states)
Enterprise
Custom pricing for government agencies and large-scale deployments; annual billing includes 2 months free
Sources & Research NotesResearch date: 2026-04-03
Data Sources (11)
Fields Checked (21)
problem, solution, deliveryMethod, integrations, disciplines, projectPhases, projectTypes, vendor, yearFounded, maturityStage, customerBase, fundingTotal, input-required, output-fields, output-structure, algorithm-approach, control-features, useCases, pricing-tiers, api-endpoint, privacy-compliance
Not Found (5)
api-rateLimit, algorithm-accuracy-metrics, soc2-type-certification, data-retention-specific-days, api-webhook-specific-details
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.
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