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BIMIT

AI-powered automated scan-to-BIM conversion

Cloud-based platform that converts registered 3D point clouds into standardized Building Information Models (LOD200+) with AI and machine learning automation. Delivers Revit models in hours instead of weeks.

Pricing
free tier, contact the vendor
Alternatives
HaloCAD, Ideate StyleManager, Layer App
Who it's for
Architecture, Construction, Engineering
$3M raisedGrowth Stage
Founded 2018 · 10M+ square feet digitized across 6,000+ buildings; design firms, real estate organizations, and major building types (homes, offices, data centers, schools, hotels, hospitals, retail, warehouses)
Website → ← All Tools
WHY IT EXISTS

Why This Tool Exists

The Problem

Architects and real estate teams manually reconstruct buildings from laser scans into BIM models, taking weeks per building at $5K-$15K per location with professional services. Manual workflows introduce errors and delay projects.

The Solution

BIMIT automates point cloud to BIM conversion using proprietary AI/ML, delivering LOD200+ Revit models in hours at a fraction of manual costs. Converts 10M+ square feet of buildings across diverse project types (homes, offices, data centers, schools, hospitals, retail).

USAGE

How You Use It

Delivery Method
SaaSWeb-based cloud platform
Integrations
Revit 2020Autodesk Construction CloudIFC formatCAD formatsglTFFBX
Disciplines
Architecture, Construction
Workflows
Design & BIM
Project Phases
Design Development, Construction Documentation, Operations/FM
Project Types
Commercial, Residential, Healthcare, Education, Infrastructure, Industrial, Hospitality, Retail, Data Centers
TRANSPARENCY

Data Transparency

Exactly what this tool uses and how

Input
What it needs
Required:Registered point cloud file, Project scope selection (Architecture/MEP/Furniture)
Optional:Customer email for delivery
Formats:XYZ, E57 (with RGB color data)
Output
What you get
Format:Revit 2020 BIM files with standardized LOD200+ output
Fields:Architectural elements (walls, doors, windows, roofs, floors), MEP systems (when visible in point cloud), Furniture and equipment (when visible), Coordinate geometry (±15mm tolerance, LOA 20)
Algorithm
How it works
Model:Proprietary AI/ML model (specific architecture and training dataset not publicly disclosed)
Accuracy:Tolerance: ±15mm (LOA 20 per AIA standards); processing limited to clearly visible elements in point cloud
Privacy
How your data is protected
Retention:Project-based retention for as long as necessary per privacy policy; content deletion available upon request (may disable revision history)
Training:Not publicly specified whether production data used for model training
Compliance:Standard data protection clauses for EEA transfers, Claims commercially reasonable security measures (specific SOC 2/ISO 27001 certifications not publicly available)
API
Integration
Endpoint:https://developers.integrated-projects.com/documentation/
Method:REST API and GraphQL API available (Layer One API)
USE CASES

Use Cases

  • ·Convert architectural point clouds to as-built BIM for renovation and retrofit projects
  • ·Fast-track as-built documentation for real estate development and asset management
  • ·Digitize existing buildings for facilities management and lifecycle management
  • ·Support design development phase with accurate as-built BIM baselines
  • ·Create standardized LOD200+ BIM from laser scan data
  • ·Reduce surveying and BIM modeling costs by 60-80% vs. manual services
PRICING

Pricing

Free
BIMIT Plan beta (automated scan-to-floor-plan): Free until August 29, 2024
Pro
Contact for pricing - pay 50% upfront, 50% upon model delivery (pricing varies by square footage and scope); cost significantly lower than manual services (~$0.50-$2/sqft estimated vs. $5-$15K per location manual)
Enterprise
BIMIT Enterprise: Recommended for clients with 10+ locations per month; custom volume pricing
Sources & Research NotesResearch date: 2026-04-03
Data Sources (10)
Fields Checked (22)
problem, solution, deliveryMethod, integrations, disciplines, projectPhases, projectTypes, yearFounded, maturityStage, customerBase, fundingTotal, input-formats, input-point-cloud-requirements, output-format-revit, output-export-formats, algorithm-approach, algorithm-accuracy, privacy-retention, privacy-location, control-features, useCases, pricing-structure
Not Found (8)
api-authentication-details, api-rate-limiting, specific-pricing-rates, soc2-certification-report, iso27001-certification, data-training-practices, model-architecture-details, performance-benchmarks
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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