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Spacefit.ai

AI-powered strategic space planning and scenario generation

AI-powered SaaS platform that transforms floor plans into structured workspace models and generates thousands of feasible layout scenarios based on real constraints and measurable KPIs. Enables teams to compare workplace options objectively before committing to leases, redesigns, or major fit-out budgets.

Not publicly specified raised 🧪 Beta

Founded 2024 • Pilot testing with leading design firms in France and UK; official launch March 2025

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Why This Tool Exists

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The Problem

Real estate, workplace, and design teams spend weeks in opinion-driven iteration cycles planning office spaces, manually checking layout constraints and debating design options. Late-stage changes to approved leases and redesigns result in costly rework and project delays.

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The Solution

Transforms floor plans into computable models and uses constraint-aware algorithms to generate thousands of layout scenarios in minutes. Teams compare objective, quantifiable metrics (seating capacity, density, cost, performance) instead of debating drawings, enabling faster alignment across Real Estate, Workplace, HR, Finance, and Design stakeholders.

How You Use It

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Delivery Method

SaaS

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Integrations

Revit AutoCAD

Disciplines

Architecture, Owner/Developer, Facility Management

Project Phases

Pre-Design, Schematic Design, Design Development

Project Types

Commercial

Data Transparency

Exactly what this tool uses and how

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Input

What it needs

Required: Floor plan (PDF or image), Target headcount, Team structure

Optional: Adjacency preferences, Collaboration requirements, Space type specifications, Project rules and design standards, Fixed elements and constraints

Formats: PDF, JPG, PNG, Revit RVT, AutoCAD DWG

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Output

What you get

Format: Interactive scenario layouts with performance metrics and comparative analysis

Fields: Floor plan layouts (thousands of scenarios), Seating and capacity calculations, Density metrics, Area allocation by function, Performance KPIs, Cost analysis, Design standard compliance verification

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Algorithm

How it works

Model: Proprietary constraint-aware AI system (model name and architecture not publicly disclosed)

Accuracy: Not publicly specified

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Privacy

How your data is protected

Retention: Not publicly specified

Training: Not publicly specified

Compliance: Not publicly specified

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API

Integration

Endpoint: Contact vendor for API access

Method: Not publicly documented

Use Cases

• Test-fit validation for new office buildings and leases
• Workplace strategy scenario planning and footprint optimization
• Design standardization across multiple office locations
• Rapid feasibility cycles for architects and design teams
• Collaborative space planning across Real Estate, HR, and Finance teams

Pricing

Free

Free trial available (7 days)

Pro

Contact vendor for pricing

Enterprise

Contact vendor for custom pricing

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📚 Research Sources & Data Quality Last verified: 2026-02-01

Data Sources (6)

✅

Verified Data (11)

problem, solution, deliveryMethod, integrations, disciplines, projectPhases, projectTypes, maturityStage, input-formats, output-fields, useCases

❌

Not Found (11)

fundingTotal, yearFounded-confirmed, pricing-details, api-documentation, privacy-policy, data-retention-policy, gdpr-compliance, soc2-certification, algorithm-model-details, customer-case-studies, public-customer-logos

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.