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PLANALOGIC

AI-powered real estate design optimization platform

Design and decision-making platform that uses evolutionary algorithms to generate and evaluate millions of design scenarios for optimal real estate projects based on feasibility, sustainability, and affordability factors.

Not publicly specified raisedGrowth Stage
Founded 2017 · Real estate developers, investors, contractors, and municipalities (specific customer count not publicly disclosed)
Website →← All Tools
WHY IT EXISTS

Why This Tool Exists

The Problem

Real estate developers face significant uncertainty when evaluating early-stage projects. Between vision and reality lies a minefield of assumptions about site capacity, regulatory compliance, financial viability, and sustainability metrics, each one a potential project-killer. Manual scenario evaluation is time-consuming and limited to a handful of options.

The Solution

PLANALOGIC uses evolutionary algorithms to analyze available space and automatically generate thousands of optimized design configurations per hour, evaluating them against user-defined constraints (financial, regulatory, environmental, spatial). The platform synthesizes complex interactions between regulations, ESG compliance, and building performance to produce data-driven design recommendations and feasibility assessments.

USAGE

How You Use It

Delivery Method
SaaS
Disciplines
Architecture
Workflows
Visualization & Presentation, Planning & Feasibility, Code & Compliance
Project Phases
Pre-Design, Schematic Design
Project Types
Residential, Mixed-Use, Commercial
TRANSPARENCY

Data Transparency

Exactly what this tool uses and how

Input
What it needs
Required:Project parameters, Site location, Building program preferences
Optional:Site-specific data, Financial constraints, Regulatory requirements, Sustainability targets, Design preferences
Formats:Web interface, Ready-made datasets
Output
What you get
Format:Multi-dimensional design optimization reports with scenario analysis
Fields:Design feasibility assessments, Layout configurations and floor plans, Financial performance metrics, Sustainability performance (carbon, energy, BREEAM/WELL/BENG scores), Regulatory compliance analysis, Comparative benchmarking against millions of synthetic designs, Risk mitigation recommendations
Algorithm
How it works
Model:Proprietary evolutionary algorithm (genetic algorithm approach)
Accuracy:Not publicly specified (methodology for validation not disclosed)
Privacy
How your data is protected
Retention:Not publicly specified
Training:Not publicly specified
Compliance:Not publicly specified (EU-based company subject to GDPR)
API
Integration
Endpoint:Contact vendor for API access
Method:Not publicly documented
USE CASES

Use Cases

  • ·Early-stage project feasibility studies and scenario comparison
  • ·Optimizing residential design for sustainability and affordability
  • ·Land value and density analysis for development projects
  • ·Regulatory compliance and risk assessment for new developments
  • ·Benchmarking building performance against industry standards
PRICING

Pricing

Free
Contact vendor for trial access
Pro
Contact vendor for pricing
Enterprise
Custom pricing for organizations
Sources & Research NotesResearch date: 2026-02-01
Data Sources (9)
Fields Checked (13)
vendor, website, yearFounded, maturityStage, problem, solution, deliveryMethod, disciplines, projectPhases, projectTypes, location, algorithm-approach, use-cases
Not Found (10)
fundingTotal, integrations, pricing, api-documentation, algorithm-accuracy, compliance-certifications, soc2-report, gdpr-details, data-training-approach, specific-customer-count
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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