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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 raised 🚀 Early Stage

Founded 2023 • Early adopters including TVS (architecture firm); pilot customers from design technology task forces at major firms

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Why This Tool Exists

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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).

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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.

How You Use It

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Delivery Method

SaaS Plugin Marketplace Integration

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Integrations

Revit SketchUp IFC ArchiCAD

Disciplines

Architecture

Project Phases

Schematic Design, Design Development, Construction Documentation

Project Types

Commercial, Residential, Healthcare, Education, Hospitality, Mixed-Use

Data Transparency

Exactly what this tool uses and how

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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)

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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

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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

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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

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API

Integration

Endpoint: Contact vendor for API access

Method: Not publicly documented

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

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

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

Data Sources (11)

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Verified Data (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

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Not Found (8)

fundingTotal-exact-breakdown, api-documentation, soc2-compliance, detailed-accuracy-metrics, training-methodology, specific-data-center-locations, employee-count, annual-recurring-revenue

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.