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Hypar

Cloud-based generative design platform for space planning

AI-powered space planning application that converts building requirements into accurate plans and 3D models. Integrates generative algorithms with natural language processing to automate layout generation and optimize spatial arrangements.

$5.5M raisedGrowth StageOpen Source (Open source core with proprietary cloud platform)
Founded 2018 · Thousands of users including leading AEC firms (S/L/A/M, Adrianse)
Website →← All Tools
WHY IT EXISTS

Why This Tool Exists

The Problem

Architects spend 2-5 hours manually creating space planning layouts from building programs, requiring multiple iterations to balance spatial efficiency with programmatic requirements. Complex projects can take weeks to generate viable test fits.

The Solution

AI-powered platform converts building requirements into accurate floor plans within minutes using generative algorithms. Automatically suggests furniture layouts, tracks space utilization in real-time, and exports directly to Revit for seamless BIM integration.

USAGE

How You Use It

Delivery Method
SaaSPlugin
Integrations
RevitRhinoExcelAutoCADPDFDXFDWG
Disciplines
Architecture, Facility Management
Workflows
Data & Automation, Operations & Facility Management
Project Phases
Pre-Design, Schematic Design
Project Types
Commercial, Healthcare, Education, Mixed-Use, Industrial
TRANSPARENCY

Data Transparency

Exactly what this tool uses and how

Input
What it needs
Required:Building program requirements, Space dimensions
Optional:Furniture specifications, Grid layouts, Existing CAD files, Building outlines
Formats:Excel, CSV, DXF, DWG, PDF, PNG, JPG
Output
What you get
Format:3D space plans with automated furniture layouts
Fields:Floor plans, Furniture layouts, Space utilization metrics, Area calculations, 3D visualizations
Algorithm
How it works
Model:Proprietary generative algorithms with ChatGPT integration for natural language processing
Accuracy:Claims optimized spatial efficiency (methodology not published)
Privacy
How your data is protected
Retention:Project-based retention (duration not specified)
Training:Not publicly specified
Compliance:Enterprise SSO, Authentication configuration
API
Integration
Endpoint:Platform based on microservices architecture
Method:Python and C# execution environment
USE CASES

Use Cases

  • ·Healthcare facility space planning and test fits
  • ·Office and workplace layout optimization
  • ·Data center space planning and equipment layout
  • ·Commercial building space allocation and programming
  • ·Educational facility space planning and furniture layouts
PRICING

Pricing

Free
Free tier with basic space planning tools
Pro
$25/month with advanced features and conflict detection
Enterprise
Custom pricing with SSO and enterprise features
Sources & Research NotesResearch date: 2026-02-01
Data Sources (8)
Fields Checked (10)
problem, solution, deliveryMethod, integrations, pricing, fundingTotal, yearFounded, customerBase, algorithm-approach, open-source-status
Not Found (6)
detailed-privacy-policy, api-documentation, rate-limits, data-retention-specifics, compliance-certifications, 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.
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