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VIM

Transform BIM data into actionable business intelligence

Cloud-based platform that transforms complex BIM data into interactive Power BI dashboards and business intelligence reports. VIM consolidates federated Revit models and integrates with construction management systems for real-time project analytics.

$4.49M raisedGrowth StageOpen Source (MIT (file format and web viewer); VIM Cloud and Enterprise are proprietary)
Founded 2016 · 34 employees; Notable customers include AECOM, Skanska, Rosendin, RIB Software, Gensler
Website →← All Tools

Why This Tool Exists

The Problem

Construction teams struggle to extract actionable insights from complex BIM data. Building managers manually export data from Revit, spend hours formatting datasets, and cannot correlate BIM information with cost, schedule, and asset data. This fragmentation delays decision-making and prevents real-time project visibility.

The Solution

VIM seamlessly bridges BIM data and Microsoft Power BI to create interactive dashboards without manual exports. Automatically extracts BIM parameters, consolidates federated models, and connects with cost/schedule systems to provide unified project intelligence. Pre-built templates enable quick deployment of 4D scheduling, 5D cost tracking, 6D sustainability analysis, and 7D facility management reporting.

How You Use It

Delivery Method
SaaSAPI
Integrations
RevitNavisworksAutodesk Construction CloudMicrosoft Power BI3ds MaxIFC format
Project Phases
Design Development, Construction Documentation, Bidding/Procurement, Construction Administration, Operations/FM
Project Types
Commercial, Residential, Healthcare, Education, Infrastructure, Mixed-Use, Industrial, Institutional

Data Transparency

Exactly what this tool uses and how

Input
What it needs
Required:BIM models (Revit, Navisworks, or IFC), Microsoft Power BI subscription
Optional:Cost data, Project schedules, Asset tracking data, Sustainability metrics
Formats:RVT (Revit), NWD/NWC (Navisworks), IFC, VIM (proprietary format)
Output
What you get
Format:Interactive Power BI dashboards with 3D BIM visualization
Fields:BIM element parameters, Material quantities, Cost data, Schedule information, Sustainability metrics, Asset information, Custom calculated fields
Algorithm
How it works
Model:Proprietary data transformation engine with BFAST (Binary Format for Array Serialization and Transmission) container format
Accuracy:Not publicly specified; relies on source BIM model data integrity
Privacy
How your data is protected
Retention:Not publicly specified (contact vendor for project-specific retention)
Training:Not publicly specified (contact vendor regarding AI model training)
Compliance:Not publicly specified (contact vendor for SOC 2, GDPR, or compliance documentation)
API
Integration
Endpoint:Contact vendor for API access
Method:REST API planned (not publicly documented)

Use Cases

  • ·Executive dashboards tracking project progress, schedule adherence, and budget variance in real-time
  • ·4D visualization correlating BIM geometry with construction schedules for phasing analysis
  • ·5D cost control linking BIM elements to cost data for value engineering and budget tracking
  • ·6D sustainability reporting on material quantities, embodied carbon, and environmental impact
  • ·7D facility management dashboards for asset tracking, maintenance planning, and operations
  • ·Quality control analyzing material specifications, coordination issues, and design compliance
  • ·Multi-project portfolio analysis consolidating metrics across federated models

Pricing

Free
Free trial available
Pro
Not publicly specified (contact sales)
Enterprise
Custom pricing for on-premises and private cloud deployments
Sources & Research NotesResearch date: 2026-02-01
Fields Checked (16)
problem, solution, deliveryMethod, integrations, disciplines, projectPhases, projectTypes, yearFounded, maturityStage, fundingTotal, customerBase, isOpenSource, license, useCases, input-formats, output-structure
Not Found (9)
specific-pricing-details, soc2-certification, gdpr-compliance-report, api-documentation, data-retention-policies, data-training-policies, rate-limit-specifications, enterprise-pricing, algorithm-accuracy-metrics
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.