Scan to BIM (also known as Point Cloud to BIM) is the specialized process of converting laser scan data of existing buildings into accurate, intelligent Building Information Models. The process begins with comprehensive LiDAR scanning that captures millions of measurement points documenting all visible surfaces and spatial relationships. These point cloud datasets are then registered, cleaned, and optimized for modeling reference. The conversion process involves skilled BIM specialists interpreting this point cloud data to create parametric 3D models with precise geometry, proper component categorization, and appropriate information attributes. Unlike simple geometric modeling, true Scan to BIM conversion creates intelligent building models where walls, floors, columns, beams, windows, doors, and systems are modeled as proper BIM objects with dimensional accuracy, correct family types, and information parameters that support downstream applications including renovation design, facility management, and digital twin development.

Our Scan to BIM services can deliver multiple levels of detail calibrated to project requirements and point cloud quality. For basic spatial context models (LOD 200), we capture primary architectural elements including walls, floors, ceilings, columns, and major openings with accurate positioning and dimensions but simplified detailing. Intermediate models (LOD 300) include precise component dimensions, proper material definitions, comprehensive opening details, and significant architectural features that influence renovation design or analysis. Detailed models (LOD 350-400) incorporate complete component information, connection details, finish elements, exposed systems, and equipment with appropriate parametric intelligence. The achievable detail level depends on several factors including scan resolution, occlusions in the point cloud, project requirements, and intended model applications. We work closely with clients to establish appropriate LOD specifications that balance modeling investment against project needs, prioritizing elements most critical to project success while maintaining consistent quality standards throughout the model.

Our Scan to BIM services can model a comprehensive range of building elements and systems based on point cloud visibility and project requirements. For architectural documentation, we model walls (including complex assemblies and heritage features), floors, ceilings, roofs, stairs, railings, windows, doors, and specialized elements like millwork, fixtures, and finishes. Structural modeling captures columns, beams, trusses, bracing, and other load-bearing elements with accurate dimensions and proper categorization. For visible building systems, we can model mechanical equipment, ductwork, piping, electrical distribution, lighting fixtures, fire protection, and specialty systems as intelligent BIM components. Site elements including topography, hardscape, site furnishings, and landscape features can also be incorporated where appropriate. The modeling scope is customized to project needs—from focused documentation of specific systems to comprehensive capture of all visible elements—with clear scope definition established during project planning to ensure appropriate resource allocation and deliverable expectations.

The accuracy of Scan to BIM models is influenced by several factors including point cloud quality, modeling methodology, and established accuracy standards. When working with high-quality scan data, our standard modeling achieves overall accuracy of ±15mm (0.6") for primary architectural elements with critical dimensions typically within ±5mm (0.2"). This precision exceeds traditional field measurement accuracy while providing appropriate tolerances for irregular existing conditions. Accuracy specification follows a hierarchical approach with primary structural elements, core architectural components, and key dimensional references modeled at higher precision than secondary elements or irregular features. Throughout the modeling process, we implement systematic quality control including deviation analysis that compares model geometry to the originating point cloud, identifying significant variances for verification. For projects with specific accuracy requirements, we establish explicit tolerance standards, implement enhanced quality control protocols, and provide detailed deviation reports that document achieved accuracy with statistical validation, ensuring dimensional reliability appropriate to project applications from renovation design to digital twin implementation.

Our Scan to BIM process follows a structured methodology refined through extensive project experience. The process begins with detailed project planning that establishes modeling scope, accuracy requirements, level of detail specifications, and delivery expectations. Point cloud preparation includes registration verification, cleaning, segmentation, and optimization to ensure a reliable reference for modeling. For complex projects, we develop model planning frameworks including grid establishment, level definition, and component standardization before beginning detailed modeling. The modeling phase implements a systematic approach typically beginning with structural elements, progressing to primary architectural components, and then adding secondary elements and building systems. Throughout development, continuous quality assurance protocols verify dimensional accuracy, component categorization, and information content according to established standards. The final processing phase includes model optimization, parameter verification, and documentation completion including drawing extraction, schedules, and supporting deliverables. This systematic approach ensures consistent quality, appropriate accuracy, and complete deliverables regardless of project scale or complexity.

Addressing incomplete or obstructed scan data requires specialized approaches that balance factual documentation with practical modeling needs. For minor occlusions where surrounding context provides clear dimensional evidence, we employ interpolation techniques that extend visible surfaces with appropriate documented assumptions. When significant areas lack scan coverage, we implement reference-based modeling using available architectural drawings, supplemental measurements, or photographic documentation with clear designation of information sources and confidence levels. For completely inaccessible areas where no reliable documentation exists, we utilize standardized placeholder modeling with explicit identification of assumed conditions and verification recommendations. Throughout this process, our modeling maintains strict differentiation between scan-verified elements and interpolated components through parameter tagging, color coding, or documentation notes that clearly communicate information reliability. For projects where complete verification is critical, we can coordinate supplemental scanning, targeted opening investigations, or phased model development that incorporates additional information as it becomes available, ensuring appropriate model reliability while addressing practical constraints of existing building documentation.

We employ industry-leading software platforms tailored to specific Scan to BIM requirements and deliverable expectations. Our primary modeling environments include Autodesk Revit with specialized point cloud plugins, ArchiCAD for heritage and complex architectural projects, and Tekla Structures for detailed structural documentation. These core platforms are supplemented by specialized point cloud processing tools including Leica Cyclone, FARO Scene, and Autodesk ReCap Pro for data preparation and reference management. For advanced geometry handling, we utilize Rhino with specialized NURBS modeling capabilities for complex surfaces and irregular forms that exceed standard BIM platform capabilities. Quality verification employs CloudCompare, Verity, and custom analysis tools that provide statistical validation of model accuracy against source data. Our technology ecosystem is continuously updated to incorporate emerging tools including machine learning assistance, automated feature recognition, and advanced analysis capabilities that enhance both efficiency and quality in the Scan to BIM conversion process, ensuring optimal outcomes regardless of project complexity or specialized requirements.

Our Scan to BIM services provide comprehensive deliverables tailored to project requirements and intended applications. Standard deliverables include native BIM models (typically Revit) with appropriate family structures, parameter organization, and information classification optimized for downstream use. These models are supplemented by industry-standard exchange formats including IFC, NWD, and other collaboration formats that support multi-platform workflows. Documentation deliverables derived from the model include floor plans, elevations, sections, and 3D views that communicate existing conditions with proper dimensional information and annotation standards. For specialized applications, we provide analytical deliverables including space utilization data, system capacity information, and performance parameters relevant to renovation planning or facility management. All deliverables include appropriate metadata documentation including modeling standards, accuracy specifications, information sources, and confidence levels that establish clear expectations for model utilization. The comprehensive deliverable package supports multiple applications from design reference through facility management, creating lasting value from the Scan to BIM investment that extends throughout the building lifecycle.