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AI-powered real estate quality analysis from 2D floor plans

PropTech platform that converts 2D floor plans to 3D BIM models and automatically analyzes 100+ objective quality criteria (sunlight, views, noise, brightness). Combines computer vision with geospatial data to enable data-driven property pricing, vacancy reduction, and portfolio optimization for real estate firms.

Not publicly specified raisedGrowth StageOpen Source (AGPL-3.0)
Founded 2017 · Pension insurance companies, real estate developers, land managers, real estate portals, Credit Suisse (for market research), case studies showing 2-4% portfolio revenue uplift
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WHY IT EXISTS

Why This Tool Exists

The Problem

Real estate professionals manually assess property quality using subjective criteria, leading to inaccurate pricing, preventable vacancies, and missed revenue optimization opportunities. Without objective data on sunlight exposure, views, noise levels, and spatial functionality, property managers cannot confidently price units or identify undervalued assets in their portfolios.

The Solution

Automatically converts 2D floor plans to 3D BIM models and analyzes 100+ objective quality criteria (views, sunlight exposure, noise, brightness, layout functionality) by integrating architectural data with geospatial context. Produces evidence-based insights that optimize rental pricing, reduce vacancies, and identify revenue opportunities across portfolios.

USAGE

How You Use It

Delivery Method
SaaSAPICloud-based
Integrations
IFC (Building Information Models)DXF/DWG (CAD formats)OpenStreetMap (OSM) geospatial dataGCP (Google Cloud Platform)Quavis simulation toolsBlenderBIM for visualization
Disciplines
Architecture
Workflows
Data & Automation
Project Phases
Pre-Design, Design Development
Project Types
Residential, Commercial, Mixed-Use
TRANSPARENCY

Data Transparency

Exactly what this tool uses and how

Input
What it needs
Required:2D floor plans, Property address
Optional:Existing BIM models, Project context data, Demographic information
Formats:PDF, Image files (JPG, PNG), IFC (BIM models)
Output
What you get
Format:Real estate quality analysis reports with heatmaps and key metrics
Fields:Sunlight exposure and daylight analysis, View quality and sightlines, Noise level predictions and exposure, Brightness and illumination maps, Spatial layout functionality scores, Geocoded property context, Comparative quality rankings, Revenue optimization recommendations (RentCalibrator)
Algorithm
How it works
Model:Proprietary computer vision engine for 2D-to-3D BIM conversion, geospatial analysis algorithms
Accuracy:Claims to analyze 100+ quality criteria; methodology for accuracy validation not publicly disclosed
Privacy
How your data is protected
Retention:Project-based data retention (specific duration not publicly specified)
Training:Not publicly specified
Compliance:Privacy practices available on website (European-based company), GDPR-relevant based on CH jurisdiction
API
Integration
Endpoint:RESTful API with interactive documentation available; contact vendor for production access
Method:REST API calls; API key authentication documented in technical examples
USE CASES

Use Cases

  • ·Automated property valuation and rental price optimization (RentCalibrator)
  • ·Portfolio vacancy analysis and vacancy reduction strategies (documented 293 vs 205 day case study)
  • ·Real estate market research and competitive benchmarking
  • ·Property acquisition due diligence for institutional real estate investors
  • ·Developer decision-making on unit mix and space allocation
  • ·Feasibility studies for residential and commercial development projects
PRICING

Pricing

Free
Not publicly specified (free tier information not available)
Pro
Not publicly specified
Enterprise
Contact vendor for enterprise pricing and custom deployments
Sources & Research NotesResearch date: 2026-04-03
Data Sources (8)
Fields Checked (18)
problem, solution, deliveryMethod, integrations, disciplines, projectPhases, projectTypes, vendor, yearFounded, maturityStage, customerBase, input-formats, output-fields, algorithm-approach, control-features, useCases, license, isOpenSource
Not Found (7)
pricing-public-tiers, api-rateLimit, algorithm-accuracy-validation, data-retention-days, privacy-compliance-certifications, fundingTotal-specific-amount, algorithm-model-architecture-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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