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Skema for SketchUp

AI-powered BIM generation from SketchUp designs

Extension that bridges SketchUp and Revit workflows by converting schematic designs and massing studies into production-ready BIM models in minutes, using AI-powered block-and-stack planning and design morphing.

$150K raisedEarly Stage
Founded 2023 · Early adopters including TVS (architecture firm); pilot customers from design technology task forces at major firms
Website →← All Tools
WHY IT EXISTS

Why This Tool Exists

The Problem

Architecture teams using SketchUp for early design face a major workflow gap: transitioning designs to Revit for BIM and construction documentation requires completely rebuilding the model, wasting 2-4 weeks per project. SketchUp lacks built-in BIM capabilities, forcing firms to choose between staying in SketchUp (losing BIM rigor) or remodeling manually in Revit (losing design efficiency).

The Solution

Skema for SketchUp bridges the gap by converting massing studies and floor plates from SketchUp into parametric BIM models. Designers iterate in SketchUp, transfer to Skema for AI-powered block-and-stack planning with design morphing, and export production-ready Revit models (LOD 350) without manual remodeling. AI learns from firm-specific design patterns through design catalogs.

USAGE

How You Use It

Delivery Method
SaaSPluginMarketplace Integration
Integrations
RevitSketchUpIFCArchiCAD
Disciplines
Architecture
Workflows
Design & BIM, Planning & Feasibility
Project Phases
Schematic Design, Design Development, Construction Documentation
Project Types
Commercial, Residential, Healthcare, Education, Hospitality, Mixed-Use
TRANSPARENCY

Data Transparency

Exactly what this tool uses and how

Input
What it needs
Required:SketchUp model with massing geometry and floor plates
Optional:Design parameters (room counts, unit types), Building type classification, Site context
Formats:SKP (SketchUp), IFC (indirect via Revit import)
Output
What you get
Format:Production-ready BIM model
Fields:Revit model (RVT format), Room layout with door and window openings, Wall configurations and material properties, Space parameters and schedule data, Morphing-generated design variations, Design catalog entries for reuse
Algorithm
How it works
Model:Proprietary generative design engine with machine learning from firm design catalogs
Accuracy:Generates LOD 350 models ready for construction documentation (requires architect review); specific accuracy metrics not publicly disclosed
Privacy
How your data is protected
Retention:Account and transactional data retained for 3 years; analytics and log data retained for 12 months
Training:Design catalogs are firm-specific and not shared across customers; customer data not used to train public models
Compliance:Encryption in transit (TLS), Encryption at rest (AES-256 equivalent), GDPR compliant with Standard Contractual Clauses, CCPA compliant for California residents, No SOC 2 certification publicly confirmed
API
Integration
Endpoint:Contact vendor for API access
Method:Not publicly documented
USE CASES

Use Cases

  • ·Convert SketchUp massing studies to production Revit BIM in 5-10 minutes
  • ·Accelerate multi-family residential design with unit morphing and floor plate variations
  • ·Generate multiple design alternatives using design morphing for client presentations
  • ·Healthcare facility design with surgical suite and nursing station design catalogs
  • ·Reduce manual BIM entry time from weeks to hours in schematic design phase
  • ·Maintain design IP by building firm-specific design catalogs for template-based projects
  • ·Bridge SketchUp-native teams to BIM-required workflows without retraining
PRICING

Pricing

Free
No free tier; trial signup available on skema.ai/skema-for-sketchup
Pro
$349/year for individual annual license (unlimited Skema tool use, Revit downloads up to 20,000 sq ft)
Enterprise
Custom pricing for larger projects (>20,000 sq ft) and team licenses
Sources & Research NotesResearch date: 2026-02-01
Data Sources (11)
Fields Checked (19)
problem, solution, deliveryMethod, integrations, disciplines, projectPhases, projectTypes, yearFounded, maturityStage, customerBase, input-formats, output-formats, pricing, privacy-location, privacy-encryption, privacy-retention, control-features, useCases, algorithm-approach
Not Found (8)
fundingTotal-exact-breakdown, api-documentation, soc2-compliance, detailed-accuracy-metrics, training-methodology, specific-data-center-locations, employee-count, annual-recurring-revenue
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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