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Sparkel

AI-powered quantity extraction from BIM and PDF documents

Cloud platform that uses AI to automatically extract quantities, areas, and measurements from 2D PDFs and 3D BIM models (IFC, Revit) enabling rapid cost estimation and design problem identification.

Pricing
$250/month
Alternatives
VIM, Reports, Naska.AI
Who it's for
Construction, Architecture, Structural Engineering
~$550K (NOK 5.3M seed funding) raisedEarly Stage
Founded 2021 · WINTERI Arquitectura, LDZ Constructora, Autodesk Platform Services customer
Website → ← All Tools
WHY IT EXISTS

Why This Tool Exists

The Problem

Construction teams spend 5-10 hours manually measuring and extracting quantities from design documents, leading to errors, missed design problems, and $40K+ in avoidable costs per project. Manual processes are slow and error-prone.

The Solution

AI-powered cloud platform that automatically extracts quantities, measurements, and areas from 2D PDFs and 3D BIM models using GPT-4 integration. Users can ask natural language questions like "How much concrete is on level 2?" and instantly receive structured data, reducing takeoff time by 5x.

USAGE

How You Use It

Delivery Method
SaaS
Integrations
Autodesk (APIs)RevitIFCPDFSketchUpArchiCADRhinoAutoCAD3DSMaxVectorworks
Disciplines
Construction, Architecture, Structural Engineering, Mep Engineering
Workflows
Data & Automation, Estimating & Cost
Project Phases
Schematic Design, Design Development, Construction Documentation, Bidding/Procurement, Construction Administration
Project Types
Commercial, Residential, Mixed-Use, Healthcare, Education, Industrial
TRANSPARENCY

Data Transparency

Exactly what this tool uses and how

Input
What it needs
Required:2D PDF drawings or 3D BIM models (IFC/Revit)
Optional:Project context, Natural language questions, Custom measurement parameters
Formats:PDF, IFC, RVT, SketchUp SKP, ArchiCAD PLN, Rhino 3DM, AutoCAD DWG, 3DSMax MAX, Vectorworks VWX
Output
What you get
Format:Interactive web dashboard and exported takeoff tables
Fields:Quantities (areas, volumes, counts), Measurement coordinates, Element classification, Linked design references, Live collaboration data
Algorithm
How it works
Model:GPT-4 integration with proprietary BIM parsing (model details not publicly specified)
Accuracy:Claims 5x faster than manual processes with improved accuracy (specific metrics not published)
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

  • ·Rapid quantity takeoff from design documents (5x faster than manual)
  • ·Identify design problems early before costly rework
  • ·Generate cost estimates directly from PDF or BIM
  • ·Collaborative design review with measurement annotations
  • ·Pre-construction design validation and clash detection
PRICING

Pricing

Free
7-30 day trial available
Pro
$250/month (Standard License, per AEC+Tech listing)
Enterprise
Contact vendor for custom pricing
Sources & Research NotesResearch date: 2026-02-01
Data Sources (7)
Fields Checked (14)
problem, solution, deliveryMethod, integrations, disciplines, projectPhases, projectTypes, maturityStage, yearFounded, fundingTotal, input-formats, output-fields, useCases, pricing
Not Found (10)
api-documentation, privacy-policy, gdpr-compliance, soc2-certification, detailed-algorithm-model, customer-count, revenue-data, public-customer-logos, data-retention-policy, compliance-details
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.
ALTERNATIVES

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