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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 raised 📈 Growth Stage
Founded 2017 • Real estate developers, investors, contractors, and municipalities (specific customer count not publicly disclosed)
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Why This Tool Exists

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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.

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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.

How You Use It

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Delivery Method

SaaS
Disciplines
Architecture, Owner/Developer
Project Phases
Pre-Design, Schematic Design
Project Types
Residential, Mixed-Use, Commercial

Data Transparency

Exactly what this tool uses and how

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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
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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
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Algorithm

How it works

Model: Proprietary evolutionary algorithm (genetic algorithm approach)
Accuracy: Not publicly specified (methodology for validation not disclosed)
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Privacy

How your data is protected

Retention: Not publicly specified
Training: Not publicly specified
Compliance: Not publicly specified (EU-based company subject to GDPR)
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API

Integration

Endpoint: Contact vendor for API access
Method: Not publicly documented

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

Free
Contact vendor for trial access
Pro
Contact vendor for pricing
Enterprise
Custom pricing for organizations
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📚 Research Sources & Data Quality Last verified: 2026-02-01
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Verified Data (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
Our Commitment: We only include verified data from official sources. If information isn't publicly available, we mark it as "Not publicly specified" rather than guessing.

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