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Skema

AI-powered BIM knowledge reuse engine for schematic-to-BIM workflows

AI design assistant that captures design knowledge from previous BIM projects and applies it to new designs, enabling architects to generate coordinated LOD 350 BIM models in minutes instead of weeks. Preserves institutional design intelligence through reusable design catalogs and morphing tools.

Pricing
Professional: $199/month
Alternatives
STEP Exporter for Revit, Geopogo, BIMIT
Who it's for
Architecture
Not publicly specified raisedGrowth Stage
Founded 2021 · Design firms including TVS (Atlanta-based architectural practice) and pilot programs with major architecture firms; claims "100+ design catalogs" in library
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WHY IT EXISTS

Why This Tool Exists

The Problem

Architects manually rebuild schematic designs into BIM models during design development, wasting 6-8 weeks per project. Knowledge from previous similar projects is lost, forcing teams to recreate floor layouts, room configurations, and structural systems from scratch. This repetitive work delays project schedules and increases costs.

The Solution

AI-powered design reuse engine that ingests previous BIM projects, extracts design knowledge (floor layouts, room types, systems), and applies them to new projects. Architects morph existing designs to fit new site constraints. Exports coordinated LOD 350 BIM models to Revit in minutes, eliminating weeks of manual modeling and preserving institutional design knowledge.

USAGE

How You Use It

Delivery Method
SaaSPlugin
Integrations
RevitSketchUpRhino
Disciplines
Architecture
Workflows
Design & BIM
Project Phases
Schematic Design, Design Development
Project Types
Commercial, Residential, Healthcare, Education, Hospitality, Mixed-Use
TRANSPARENCY

Data Transparency

Exactly what this tool uses and how

Input
What it needs
Required:Existing BIM project (Revit format), New design concept or schematic sketch
Optional:Site context, Sustainability requirements, Proforma metrics, Previous project performance data
Formats:RVT (Revit), SketchUp, Rhino, Web-based sketching tool
Output
What you get
Format:Coordinated BIM model (LOD 350 native Revit format)
Fields:Room-level geometry and configurations, MEP systems (pre-coordinated models), Structural elements from design catalog, Parameters and properties from source projects, Quantity schedules, Export-ready Revit file for documentation phase
Algorithm
How it works
Model:Proprietary design pattern recognition and morphing engine (specific ML approach not publicly disclosed)
Accuracy:Not publicly specified (claims efficient room-level geometry and reduction of manual cleanup time)
Privacy
How your data is protected
Retention:Project-based retention; design catalogs retained for firm-specific reuse (deletion timeline not specified)
Training:Does not train AI models on customer data; design catalogs are firm-specific and not shared across customers
Compliance:Encryption in transit (TLS) and at rest (AES 256 equivalent), GDPR compliant with Standard Contractual Clauses, Breach notification within 72 hours
API
Integration
Endpoint:Contact vendor for API access
Method:Not publicly documented
USE CASES

Use Cases

  • ·Generate LOD 350 BIM models in minutes from schematic design concepts
  • ·Preserve and reuse floor plate layouts across multiple projects
  • ·Accelerate healthcare design workflows using surgical suite and nursing station templates
  • ·Multi-family residential design standardization with unit morphing
  • ·Reduce BIM modeling phase from weeks to days for early design development
  • ·Leverage institutional design knowledge across geographically distributed teams
  • ·Pre-coordinate MEP systems during schematic design phase
PRICING

Pricing

Free
30-day trial of Professional tier
Pro
Professional: $199/month (individual); Team Starter Pack: $750/month (up to 5 seats with firm-specific design catalogs)
Enterprise
Enterprise Pioneer: Custom pricing (12+ seats with in-person onboarding, IP management, and product roadmap input)
Sources & Research NotesResearch date: 2026-02-01
Data Sources (10)
Fields Checked (17)
problem, solution, deliveryMethod, integrations, disciplines, projectPhases, projectTypes, yearFounded, maturityStage, customerBase, input-formats, output-formats, pricing-model, privacy-location, privacy-encryption, control-features, useCases
Not Found (9)
fundingTotal, detailed-algorithm-model, accuracy-metrics, api-documentation, soc2-compliance, rate-limits, data-retention-timeline, specific-employee-count, annual-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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