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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.

$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)
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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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