🧮

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.

~$550K (NOK 5.3M seed funding) raised 🚀 Early Stage
Founded 2021 WINTERI Arquitectura, LDZ Constructora, Autodesk Platform Services customer

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.

How You Use It

🚀

Delivery Method

SaaS
🔌

Integrations

Autodesk (APIs) Revit IFC PDF SketchUp ArchiCAD Rhino AutoCAD 3DSMax Vectorworks
Disciplines
Construction, Architecture, Structural Engineering, MEP Engineering
Project Phases
Schematic Design, Design Development, Construction Documentation, Bidding/Procurement, Construction Administration
Project Types
Commercial, Residential, Mixed-Use, Healthcare, Education, Industrial

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

  • 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

Free
7-30 day trial available
Pro
$250/month (Standard License, per AEC+Tech listing)
Enterprise
Contact vendor for custom pricing
Website →
📚 Research Sources & Data Quality Last verified: 2026-02-01
Verified Data (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
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.

Get weekly insights on AEC tools, workflows, and insights.