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Industry Specific
Spacemaker AI Urban Design
Spacemaker AI Urban Design logo
Industry Specific

Spacemaker AI Urban Design

Spacemaker AI Urban Design is a cloud-based platform that leverages artificial intelligence to assist real estate developers, architects, and urban planners in the early-stage design and feasibility analysis of building projects. It enables users to rapidly generate, analyze, and optimize multiple design options for a given plot of land based on a wide array of parameters. The tool ingests local site data, zoning regulations, environmental factors, and client requirements to produce 3D massing models and comprehensive performance analyses. Key outputs include assessments of daylight potential, wind impact, noise, views, and financial viability, allowing teams to make data-driven decisions faster. By automating complex simulations and enabling collaborative scenario comparison, Spacemaker aims to reduce risk, improve project quality, and accelerate the pre-design phase. It is positioned as a decision intelligence platform that bridges the gap between urban data science and practical design workflows.

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📊 At a Glance

Pricing
Paid
Reviews
No reviews
Traffic
≈50K visits/month (public web traffic estimate, Similarweb, March 2025)
Engagement
0🔥
0👁️
Categories
Industry Specific
Real Estate

Key Features

AI-Powered Design Generation

Automatically generates thousands of viable building massing options for a given site by exploring the solution space defined by zoning, program, and other constraints.

Multi-Criteria Analysis Engine

Provides integrated simulations for daylight (sunlight hours), wind comfort, noise propagation, visual privacy, and operational energy consumption directly within the platform.

Scenario Comparison Dashboard

Enables side-by-side visual and quantitative comparison of different design alternatives across all analyzed performance metrics and financial KPIs.

Regulation & Context Modeling

Allows users to digitally codify local zoning codes, setback rules, height limits, and other regulations, which the AI generator strictly adheres to.

Real-Time Collaboration Cloud

Hosts projects in a centralized cloud workspace where architects, developers, planners, and consultants can view, comment, and iterate on designs simultaneously.

Pricing

Enterprise

Contact sales
  • ✓Full access to AI-generated design alternatives and massing optimization.
  • ✓Comprehensive analysis engines for sun, wind, noise, views, and energy.
  • ✓Unlimited projects and scenarios within the contracted scope.
  • ✓Real-time collaborative workspace for teams.
  • ✓Data import/export capabilities and API access for integration.
  • ✓Dedicated customer success and technical support.
  • ✓Training and onboarding services.

Traffic & Awareness

Monthly Visits
≈50K visits/month (public web traffic estimate, Similarweb, March 2025)
Global Rank
##1,183,451 global rank by traffic, Similarweb estimate
Bounce Rate
≈45% (Similarweb estimate, March 2025)
Avg. Duration
≈00:03:15 per visit, Similarweb estimate, March 2025

Use Cases

1

Feasibility Studies for Real Estate Developers

Developers use Spacemaker to quickly assess the financial and physical potential of a land acquisition. By inputting site data and market-driven program mixes, they generate massing options optimized for profitability and density. The analysis of sunlight, views, and wind helps predict unit quality and marketability, providing a robust data package to inform investment decisions and secure financing faster.

2

Site Planning and Massing by Architects

Architectural firms employ the tool during conceptual design to explore a wide range of massing and orientation possibilities. They balance aesthetic intent with quantitative performance on sustainability metrics. This allows them to present clients with data-backed design options that maximize value and meet environmental goals, elevating their proposals from subjective concepts to optimized solutions.

3

Urban Design and Master Planning

Urban planners and municipal agencies use Spacemaker to model the impact of proposed zoning changes or to plan new districts. They can test how different regulation sets affect density, public space, and environmental outcomes across multiple city blocks. This supports evidence-based policy making and facilitates more productive dialogues with private developers during the planning approval process.

4

Sustainability and ESG Compliance Analysis

Sustainability consultants and development teams use the platform's energy and environmental simulations to benchmark designs against corporate ESG (Environmental, Social, and Governance) targets or certification standards like LEED or BREEAM. Early analysis of operational energy, daylight access, and microclimate helps shape designs to achieve higher sustainability ratings from the outset.

5

Stakeholder Engagement and Communication

Project teams use Spacemaker's visualizations and clear dashboards to communicate complex design trade-offs to non-technical stakeholders, such as community boards, investors, or city council members. The ability to show 'what-if' scenarios and their concrete impacts on livability and value builds trust and facilitates more informed approvals.

How to Use

  1. Step 1: Sign up for an account on the Spacemaker website, typically through a sales or demo request process as it is an enterprise-focused platform.
  2. Step 2: Onboard a new project by defining the site boundary. This is done by drawing a polygon on a map or importing site geometry data.
  3. Step 3: Input critical project constraints and goals, such as local zoning regulations (height, setbacks, FAR), program requirements (e.g., residential units, office space), and sustainability targets.
  4. Step 4: Use the AI-powered 'Generate' function to create hundreds or thousands of massing design alternatives that comply with the defined rules and optimize for specified metrics like profitability, daylight, or density.
  5. Step 5: Analyze the generated alternatives using the platform's built-in simulation engines for factors like sunlight, wind, noise, views, and operational energy to understand their performance.
  6. Step 6: Compare the top-performing design scenarios side-by-side using dashboards and visualizations to evaluate trade-offs between different objectives.
  7. Step 7: Refine and iterate on a selected design by manually adjusting building volumes, massing, or program mix within the platform's 3D editor.
  8. Step 8: Export the final analysis reports, 3D models, and key data to share with stakeholders or import into other CAD/BIM software like Revit for detailed design.
  9. Step 9: Collaborate with team members in real-time within the shared project workspace, adding comments and tracking decision rationale.

Reviews & Ratings

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At a Glance

Pricing Model
Paid
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