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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 raisedBeta
Founded 2024 · Pilot testing with leading design firms in France and UK; official launch March 2025
Website →← All Tools
WHY IT EXISTS

Why This Tool Exists

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.

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.

USAGE

How You Use It

Delivery Method
SaaS
Integrations
RevitAutoCAD
Disciplines
Architecture, Facility Management
Workflows
Coordination & Delivery, Operations & Facility Management
Project Phases
Pre-Design, Schematic Design, Design Development
Project Types
Commercial
TRANSPARENCY

Data Transparency

Exactly what this tool uses and how

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
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
Algorithm
How it works
Model:Proprietary constraint-aware AI system (model name and architecture not publicly disclosed)
Accuracy:Not publicly specified
Privacy
How your data is protected
Retention:Not publicly specified
Training:Not publicly specified
Compliance:Not publicly specified
API
Integration
Endpoint:Contact vendor for API access
Method:Not publicly documented
USE CASES

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

Pricing

Free
Free trial available (7 days)
Pro
Contact vendor for pricing
Enterprise
Contact vendor for custom pricing
Sources & Research NotesResearch date: 2026-02-01
Data Sources (6)
Fields Checked (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
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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