{"id":32784,"date":"2025-11-11T13:14:30","date_gmt":"2025-11-11T13:14:30","guid":{"rendered":"https:\/\/www.buildingsmart.org\/?page_id=32784"},"modified":"2025-11-27T13:22:07","modified_gmt":"2025-11-27T13:22:07","slug":"ai-powered-openbim-classification","status":"publish","type":"page","link":"https:\/\/www.buildingsmart.org\/ai-powered-openbim-classification\/","title":{"rendered":"AI-Powered openBIM Classification"},"content":{"rendered":"\n\n\t<p>Winner of the openBIM Awards 2025, Technology Category<\/p>\n<h1>\n\t\t\tQonic Intelligence (QI) AI-Powered openBIM Classification\t<\/h1>\n\t<p>Location: Belgium | Status: Live in Production<\/p>\n<p>Company: Qonic NV<\/p>\n\t\t\t<a href=\"https:\/\/www.buildingsmart.org\/wp-content\/uploads\/2025\/11\/QI-AI-powered-openBIM-Classification-Print-Version.pdf\" target=\"_blank\" rel=\"noopener\">\n\t\t\t\t\t\tDownload the case study\n\t\t\t\t\t<\/a>\n\t<p><strong>Key results:<\/strong><\/p>\n<ul>\n<li>98% classification accuracy<\/li>\n<li>100+ IFC classes supported<\/li>\n<li>50-80% reduction in model prep time<\/li>\n<li>8M+ objects analyzed in training<\/li>\n<li>&lt;25MB model size, client-side processing<\/li>\n<\/ul>\n<p><strong>openBIM Solutions:<\/strong> IFC 2&#215;3, IFC 4, IFC 4.3, BCF, bSDD<\/p>\n<p><strong>Timeline: <\/strong>1 year development<\/p>\n\t\t\t<a href=\"\" target=\"_self\">\n\t\t\t\t\t\tThe Challenge\n\t\t\t\t\t<\/a>\n<h2>\n\t\t\tThe IFC Classification Problem\t<\/h2>\n\t<p>Most project teams struggle with a fundamental openBIM challenge: how do you consistently classify building elements across 100+ IFC classes when most team members aren&#8217;t BIM experts?<\/p>\n\t<p><strong>The consequences are significant:<\/strong><\/p>\n\t<p><strong>Time Drain<\/strong><\/p>\n\t<p>Manual classification consumes 50-80% of model preparation time. Contractors routinely reclassify entire models between design stages.<\/p>\n\t<p><strong>Quality Issues<\/strong><\/p>\n\t<p>Misclassified elements create incomplete clash detection sets, inaccurate quantity take-offs, and coordination failures that propagate into construction.<\/p>\n\t<p><strong>Knowledge Barrier<\/strong><\/p>\n\t<p>The IFC schema&#8217;s richness becomes its limitation-only technical specialists can leverage its full potential, forcing teams toward oversimplified models.<\/p>\n\t<p><strong>Cost Impact<\/strong><\/p>\n\t<p>Classification errors lead to rework, material waste, disputes, and lost trust in digital workflows.<\/p>\n\t\t\t\t<img decoding=\"async\" src=\"https:\/\/www.buildingsmart.org\/wp-content\/uploads\/bb-plugin\/cache\/louis-casteleyn-circle.jpg\" alt=\"louis-casteleyn\" title=\"louis-casteleyn\" itemprop=\"image\"\/>\n\t\t\t\t\t\t\t<p>&#8220;We often see that the IFC schema is not fully understood by designers and contractors. This is key to raising IFC maturity across our industry.&#8221;<\/p>\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t<h3 class='uabb-testimonial-author-name testimonial-author-name'>Louis Casteleyn<\/h3>\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\tBrussels Airport Company\t\t\t\t\t\t\t\t\n\t<p><strong>Why traditional methods fail:<\/strong><\/p>\n<ul>\n<li>Manual expert classification doesn&#8217;t scale.<\/li>\n<li>Simple heuristic rules (identifying only beams, columns, walls) miss 90% of the IFC schema&#8217;s value.<\/li>\n<\/ul>\n\t\t\t<a href=\"\" target=\"_self\">\n\t\t\t\t\t\t\tWhy openBIM?\n\t\t\t\t\t<\/a>\n<h2>\n\t\t\tThe Strategic Foundation\t<\/h2>\n\t<p><strong>Qonic built QI on openBIM standards for three compelling reasons:<\/strong><\/p>\n\t<p><strong>Universal Applicability<\/strong><\/p>\n\t<p>IFC is vendor-neutral and globally recognized. QI works with exports from Revit, ArchiCAD, Rhino, SketchUp, Blender, and even point cloud\/mesh data-no tool lock-in.<\/p>\n\t<p><strong>AI Enablement<\/strong><\/p>\n\t<p>Standardization is fundamental to machine learning success. IFC&#8217;s consistent structure enabled training on 8+ million real-world elements. Without this standard, reliable pattern detection would be impossible.<\/p>\n\t<p><strong>Long-Term Value<\/strong><\/p>\n\t<p>Properly classified IFC models remain usable beyond handover for facility management, renovations, and lifecycle analysis-maximizing digital investment.<\/p>\n\t\t\t\t\t\t\t\t\t\t<h4 tabindex=\"0\">Won&#8217;t IFC exports be too inconsistent for AI?<\/h4>\n\t\t\t\t\t<p>QI&#8217;s multi-modal architecture handles real-world data quality issues by processing geometry, metadata, spatial context, and hierarchical relationships simultaneously.<\/p>\n\t\t\t\t\t\t\t\t\t\t<h4 tabindex=\"0\">What happens as IFC standards evolve?<\/h4>\n\t\t\t\t\t<p>QI features dynamic class expansion-automatically adapting to new IFC classes without forgetting prior knowledge. The system grows with your needs.<\/p>\n\t\t\t<a href=\"\" target=\"_self\">\n\t\t\t\t\t\tSolution in Action\n\t\t\t\t\t<\/a>\n<h2>\n\t\t\tHow QI Works\t<\/h2>\n\t\t\t\t\t\t\t\t<a href=\"#\" id=\"fl-tabs--label-0\" data-index=\"0\" aria-selected=\"false\" aria-controls=\"fl-tabs--panel-0\" aria-expanded=\"false\" role=\"tab\" tabindex=\"0\">\t\t\t\tPurpose-Built AI Architecture\t\t\t\t<\/a>\n\t\t\t\t\t\t\t\t<a href=\"#\" id=\"fl-tabs--label-1\" data-index=\"1\" aria-selected=\"true\" aria-controls=\"fl-tabs--panel-1\" aria-expanded=\"true\" role=\"tab\" tabindex=\"0\">\t\t\t\tUser Experience\t\t\t\t<\/a>\n\t\t\t\t\t\tPurpose-Built AI Architecture\n\t<p><strong>Unlike generic computer vision models, QI was designed specifically for BIM data:<\/strong><\/p>\n<p><strong>1. Spherical Scanning Technology<\/strong> &#8211; Captures complete 3D geometric signatures from all directions, ensuring accuracy even with partial or simplified geometry<\/p>\n<p><strong>2. Multi-Modal Analysis<\/strong> &#8211; Processes five data types simultaneously:<\/p>\n<ul>\n<li>Geometric features (shape, volume, proportions)<\/li>\n<li>Textual metadata (names, types, properties);Spatial relationships (adjacency, positioning)<\/li>\n<li>Hierarchical context (parent-child relationships)<\/li>\n<li>Contextual intelligence (surrounding elements)<\/li>\n<\/ul>\n<p><strong>3. Self-Growing Neural Network<\/strong> &#8211; Automatically expands to recognize new IFC classes and building system types as they emerge<\/p>\n<p><strong>4. Continuous Learning<\/strong> &#8211; User corrections feed back into training, improving accuracy with every project<\/p>\n\t\t\t\t\t\tUser Experience\n\t<p><strong>Simple Workflow:<\/strong><\/p>\n<ol>\n<li>Upload IFC file or native format (Revit, Rhino, SketchUp)<\/li>\n<li>QI analyzes at 100+ objects\/second<\/li>\n<li>Review top 5 classification suggestions with confidence scores<\/li>\n<li>High-confidence predictions auto-apply; uncertain cases prompt validation<\/li>\n<li>Corrections improve future classifications automatically<\/li>\n<\/ol>\n<p><strong>Real-Time Intelligence:<\/strong><\/p>\n<ul>\n<li>Visual feedback shows classification reasoning<\/li>\n<li>Confidence scores indicate reliability<\/li>\n<li>One-click corrections for user control<\/li>\n<li>Client-side processing ensures data privacy<\/li>\n<\/ul>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<a href=\"https:\/\/www.buildingsmart.org\/wp-content\/uploads\/2025\/11\/Figure-4-QI-example-in-Qonic.jpg\" target=\"_blank\" rel=\"noopener\" data-caption=\"\" itemprop=\"contentUrl\">\t\t\t\t\n\t\t\t\t<img decoding=\"async\" src=\"https:\/\/www.buildingsmart.org\/wp-content\/uploads\/2025\/11\/Figure-4-QI-example-in-Qonic-300x169.jpg\" alt=\"\" title=\"Figure-4-QI-example-in-Qonic\" itemprop=\"thumbnail\" loading=\"lazy\" \/>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<!-- Overlay Wrapper -->\n\t\t\t\t\t <!-- Overlay Wrapper Closed -->\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/a>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<a href=\"https:\/\/www.buildingsmart.org\/wp-content\/uploads\/2025\/11\/Figure-6-QI-Example-in-Qonic.jpg\" target=\"_blank\" rel=\"noopener\" data-caption=\"\" itemprop=\"contentUrl\">\t\t\t\t\n\t\t\t\t<img decoding=\"async\" src=\"https:\/\/www.buildingsmart.org\/wp-content\/uploads\/2025\/11\/Figure-6-QI-Example-in-Qonic-300x169.jpg\" alt=\"\" title=\"Figure-6-QI-Example-in-Qonic\" itemprop=\"thumbnail\" loading=\"lazy\" \/>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<!-- Overlay Wrapper -->\n\t\t\t\t\t <!-- Overlay Wrapper Closed -->\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/a>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<a href=\"https:\/\/www.buildingsmart.org\/wp-content\/uploads\/2025\/11\/Process-Map.jpg\" target=\"_blank\" rel=\"noopener\" data-caption=\"\" itemprop=\"contentUrl\">\t\t\t\t\n\t\t\t\t<img decoding=\"async\" src=\"https:\/\/www.buildingsmart.org\/wp-content\/uploads\/2025\/11\/Process-Map-300x169.jpg\" alt=\"\" title=\"Process-Map\" itemprop=\"thumbnail\" loading=\"lazy\" \/>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<!-- Overlay Wrapper -->\n\t\t\t\t\t <!-- Overlay Wrapper Closed -->\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/a>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<a href=\"https:\/\/www.buildingsmart.org\/wp-content\/uploads\/2025\/11\/Software-Ecosystem-Map.jpg\" target=\"_blank\" rel=\"noopener\" data-caption=\"\" itemprop=\"contentUrl\">\t\t\t\t\n\t\t\t\t<img decoding=\"async\" src=\"https:\/\/www.buildingsmart.org\/wp-content\/uploads\/2025\/11\/Software-Ecosystem-Map-300x169.jpg\" alt=\"\" title=\"Software-Ecosystem-Map\" itemprop=\"thumbnail\" loading=\"lazy\" \/>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<!-- Overlay Wrapper -->\n\t\t\t\t\t <!-- Overlay Wrapper Closed -->\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/a>\n\t\t\t<a href=\"\" target=\"_self\">\n\t\t\t\t\t\tMetrics\n\t\t\t\t\t<\/a>\n\t<p><strong>Time Savings<\/strong><\/p>\n\t<p>Faster model preparation for coordination and quantity take-offs<\/p>\n\t\tup to<h4>0%<\/h4>\n\t<p><strong>Process Efficiency<\/strong><\/p>\n\t<ul>\n<li><strong>Vendor-agnostic:<\/strong> Works with 5+ authoring tools plus mesh geometry<\/li>\n<li><strong>Scalable:<\/strong> Validated on federated models across all disciplines<\/li>\n<li><strong>Energy-efficient:<\/strong> Client-side processing (&lt;25MB) vs. cloud AI<\/li>\n<\/ul>\n\t<p><strong>Quality Improvements<\/strong><\/p>\n\t<ul>\n<li>98% accuracy even for ambiguous geometric shapes<\/li>\n<li>Measurable reduction in BCF coordination issues<\/li>\n<li>Complete clash detection sets through automated validation<\/li>\n<\/ul>\n\t<p><strong>Cost Reduction<\/strong><\/p>\n\t<ul>\n<li>Eliminated repeat classification across disciplines<\/li>\n<li>Reduced construction rework from early error detection<\/li>\n<li>More reliable cost estimates from consistent quantity data<\/li>\n<\/ul>\n\t<p><strong>Sustainability Impact<\/strong><\/p>\n\t<ul>\n<li>Lower carbon footprint from reduced rework and material waste<\/li>\n<li>Energy efficiency through compact, client-side models<\/li>\n<li>Extended data lifecycle with properly structured IFC models<\/li>\n<\/ul>\n\t\t\t<a href=\"\" target=\"_self\">\n\t\t\t\t\t\tKey takeaways\n\t\t\t\t\t<\/a>\n<h3>\n\t\t\tWhat Made This Work\t<\/h3>\n\t<ul>\n<li><strong>Standardization enables AI<\/strong> &#8211; IFC&#8217;s consistent structure was essential for training reliable models<\/li>\n<li><strong>Purpose-built beats generic<\/strong> &#8211; Domain-specific architecture outperforms adapted solutions<\/li>\n<li><strong>Real-world training matters<\/strong> &#8211; 8M+ elements from actual projects ensured robustness<\/li>\n<li><strong>Continuous learning prevents obsolescence<\/strong> &#8211; Dynamic architecture stays current as technology evolves<\/li>\n<li><strong>User feedback accelerates improvement<\/strong> &#8211; Corrections create a virtuous cycle<\/li>\n<\/ul>\n<h3>\n\t\t\tCritical Success Factors\t<\/h3>\n\t<ul>\n<li>Build on open standards from day one<\/li>\n<li>Invest in domain expertise, not just data science<\/li>\n<li>Design for edge cases and imperfect data<\/li>\n<li>Make AI decisions transparent to build trust<\/li>\n<li>Create feedback loops for continuous improvement<\/li>\n<\/ul>\n<h3>\n\t\t\tLessons for Your Organization\t<\/h3>\n\t<p><strong>For Technology Developers:<\/strong><\/p>\n\t<p>Start with openBIM standards-proprietary approaches limit scale and lock users into specific ecosystems<\/p>\n\t<p><strong>For Project Teams:<\/strong><\/p>\n\t<p>Adopt classification validation early, before errors propagate downstream into coordination and construction<\/p>\n\t<p><strong>For Industry Leaders:<\/strong><\/p>\n\t<p>Recognize that AI doesn&#8217;t replace expertise-it democratizes technical knowledge across entire project teams<\/p>\n<h3>\n\t\t\tStakeholder Voices\t<\/h3>\n\t\t\t\t\t\t\t\t<a href=\"#\" id=\"fl-tabs--label-0\" data-index=\"0\" aria-selected=\"false\" aria-controls=\"fl-tabs--panel-0\" aria-expanded=\"false\" role=\"tab\" tabindex=\"0\">\t\t\t\tOwner Perspective\t\t\t\t<\/a>\n\t\t\t\t\t\t\t\t<a href=\"#\" id=\"fl-tabs--label-1\" data-index=\"1\" aria-selected=\"true\" aria-controls=\"fl-tabs--panel-1\" aria-expanded=\"true\" role=\"tab\" tabindex=\"0\">\t\t\t\tContractor Perspective\t\t\t\t<\/a>\n\t\t\t\t\t\t\t\t<a href=\"#\" id=\"fl-tabs--label-2\" data-index=\"2\" aria-selected=\"false\" aria-controls=\"fl-tabs--panel-2\" aria-expanded=\"false\" role=\"tab\" tabindex=\"0\">\t\t\t\tDesign Team Perspective\t\t\t\t<\/a>\n\t\t\t\t\t\tOwner Perspective\n\t\t\t\t<img decoding=\"async\" src=\"https:\/\/www.buildingsmart.org\/wp-content\/uploads\/bb-plugin\/cache\/louis-casteleyn-circle.jpg\" alt=\"louis-casteleyn\" title=\"louis-casteleyn\" itemprop=\"image\"\/>\n\t\t\t\t\t\t\t<p>&#8220;At Brussels Airport, we adopt an IFC-first approach to ensure data consistency and predictability, enabling our asset management systems to fully leverage the information. Yet, we often see that the IFC schema is not fully understood by designers and contractors. Qonic&#8217;s classification tool assists designers with accurate IFC mappings and significantly improves the IFC quality of existing models. This advancement is key to raising IFC maturity across our industry.&#8221;<\/p>\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t<h3 class='uabb-testimonial-author-name testimonial-author-namel7riye8bo32t'>Louis Casteleyn<\/h3>\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\tBuilding Information Management, Brussels Airport Company\t\t\t\t\t\t\t\t\n\t\t\t\t\t\tContractor Perspective\n\t\t\t\t<img decoding=\"async\" src=\"https:\/\/www.buildingsmart.org\/wp-content\/uploads\/bb-plugin\/cache\/ben-arents-circle.jpg\" alt=\"ben-arents\" title=\"ben-arents\" itemprop=\"image\"\/>\n\t\t\t\t\t\t\t<p>&#8220;At Cordeel, QI allows us to augment existing models during the tender phase with higher utility value in line with our stated BIM requirements. The algorithm makes strong suggestions for IFC entities-saving significant time.&#8221;<\/p>\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t<h3 class='uabb-testimonial-author-name testimonial-author-namez92xrkuidh6b'>Ben Arents<\/h3>\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\tBIM &amp; IT Innovation Manager, Cordeel Group\t\t\t\t\t\t\t\t\n\t\t\t\t\t\tDesign Team Perspective\n\t\t\t\t<img decoding=\"async\" src=\"https:\/\/www.buildingsmart.org\/wp-content\/uploads\/bb-plugin\/cache\/luis-briones-alonso-circle.jpg\" alt=\"luis-briones-alonso\" title=\"luis-briones-alonso\" itemprop=\"image\"\/>\n\t\t\t\t\t\t\t<p>&#8220;The Qonic classification tool enables users to correctly classify IFC models in a simple way; even without having in-depth knowledge of the IFC schema themselves. This combined with Qonic&#8217;s other capabilities makes it an excellent tool for creating structured, truly useful models.&#8221;<\/p>\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t<h3 class='uabb-testimonial-author-name testimonial-author-namelafv2c74gbpt'>Ir. arch. Luis Briones Alonso<\/h3>\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\tHead of BIM, Arcade\t\t\t\t\t\t\t\t\n<h3>\n\t\t\tAbout This Case Study\t<\/h3>\n\t<p>buildingSMART International publishes case studies to demonstrate the real-world value of openBIM standards and services including IFC, IDS, BCF, and bSDD. We showcase diverse implementations to inspire innovation and guide adoption.<\/p>\n<p><strong>Featured in this case study:<\/strong> Qonic NV (Belgium)<\/p>\n\t<p>buildingSMART International does not endorse specific commercial products. Company information is provided for educational context. Organizations interested in similar approaches should evaluate multiple solutions and consult with openBIM professionals.<\/p>\n<h2>\n\t\t\tExplore buildingSMART Standards and Services Used in this Project\t<\/h2>\n\t\t\t\t<a href=\"https:\/\/www.buildingsmart.org\/users\/services\/buildingsmart-data-dictionary\/\"  target=\"_blank\" rel=\"noopener\"  itemprop=\"url\">\n\t\t\t\t<img decoding=\"async\" src=\"https:\/\/www.buildingsmart.org\/wp-content\/uploads\/2024\/07\/bSDD-logo1.1.png\" alt=\"bSDD-logo1.1\" itemprop=\"image\" height=\"250\" width=\"250\" title=\"bSDD-logo1.1\" onerror=\"this.style.display='none'\" loading=\"lazy\" \/>\n\t\t\t\t<\/a>\n\t\t\t\t<a href=\"https:\/\/www.buildingsmart.org\/standards\/bsi-standards\/industry-foundation-classes\/\"  target=\"_blank\" rel=\"noopener\"  itemprop=\"url\">\n\t\t\t\t<img decoding=\"async\" src=\"https:\/\/www.buildingsmart.org\/wp-content\/uploads\/2024\/07\/IFC-logo1.1.png\" alt=\"IFC-logo1.1\" itemprop=\"image\" height=\"250\" width=\"250\" title=\"IFC-logo1.1\" onerror=\"this.style.display='none'\" loading=\"lazy\" \/>\n\t\t\t\t<\/a>\n\t\t\t\t<a href=\"https:\/\/www.buildingsmart.org\/standards\/bsi-standards\/bim-collaboration-format\/\"  target=\"_blank\" rel=\"noopener\"  itemprop=\"url\">\n\t\t\t\t<img decoding=\"async\" src=\"https:\/\/www.buildingsmart.org\/wp-content\/uploads\/2024\/07\/BCF-logo1.1.png\" alt=\"BCF-logo1.1\" itemprop=\"image\" height=\"250\" width=\"250\" title=\"BCF-logo1.1\" onerror=\"this.style.display='none'\" loading=\"lazy\" \/>\n\t\t\t\t<\/a>\n<h2>\n\t\t\tSuccess Stories\t<\/h2>\n\t\t\t\t<a href=\"https:\/\/publications.buildingsmart.org\/the-buildingsmart-awards-yearbook-2021.html?p=18-19\"  target=\"_blank\" rel=\"noopener\"  itemprop=\"url\">\n\t\t\t\t<img decoding=\"async\" src=\"https:\/\/www.buildingsmart.org\/wp-content\/uploads\/2023\/09\/aec-randselva.jpg\" alt=\"aec-randselva\" itemprop=\"image\" height=\"420\" width=\"600\" title=\"aec-randselva\" onerror=\"this.style.display='none'\" loading=\"lazy\" \/>\n\t\t\t\t<\/a>\n\t<p><strong>Sweco Norge &#8211; The Randselva Bridge<\/strong><\/p>\n<p>The Randselva Bridge is the world&#8217;s longest bridge built without the use of any drawings, only BIM models.<\/p>\n\t\t\t\t<a href=\"https:\/\/publications.buildingsmart.org\/the-buildingsmart-awards-yearbook-2021.html?p=18-19\"  target=\"_blank\" rel=\"noopener\"  itemprop=\"url\">\n\t\t\t\t<img decoding=\"async\" src=\"https:\/\/www.buildingsmart.org\/wp-content\/uploads\/2025\/01\/Foodstuffs_awards.jpg\" alt=\"Foodstuffs_awards\" itemprop=\"image\" height=\"281\" width=\"500\" title=\"Foodstuffs_awards\" onerror=\"this.style.display='none'\" loading=\"lazy\" \/>\n\t\t\t\t<\/a>\n\t<p><strong>Auckland Airport &#8211; Foodstuffs HQ<\/strong><\/p>\n<p>Development of open digital standards and solutions for buildings across all sectors and throughout their lifecycle.<\/p>\n\t\t\t\t<a href=\"https:\/\/www.buildingsmart.org\/bouwcombinatie-pontsteiger\/\"  target=\"_blank\" rel=\"noopener\"  itemprop=\"url\">\n\t\t\t\t<img decoding=\"async\" src=\"https:\/\/www.buildingsmart.org\/wp-content\/uploads\/2023\/10\/016_Pontsteiger_A\u00a9Ossip-1.jpg\" alt=\"016_Pontsteiger_\u00c2\u00a9Ossip (1)\" itemprop=\"image\" height=\"338\" width=\"600\" title=\"016_Pontsteiger_\u00c2\u00a9Ossip (1)\" onerror=\"this.style.display='none'\" loading=\"lazy\" \/>\n\t\t\t\t<\/a>\n\t<p><strong>Project Pontsteiger<\/strong><\/p>\n<p>Project entailed more than 50 disciplines delivering IFC, over 350 unique IFC&#8217;s, and over 3500 different versions of IFC.<\/p>\n\t<h3><strong>Subscribe to our newsletter today!<\/strong><\/h3>\n\t\t\t<a href=\"https:\/\/www.buildingsmart.org\/subscription-preference\/\" target=\"_self\">\n\t\t\t\t\t\t\tSubscribe\n\t\t\t\t\t<\/a>\n\n","protected":false},"excerpt":{"rendered":"<p>Winner of the openBIM Awards 2025, Technology Category Qonic Intelligence (QI) AI-Powered openBIM Classification Location: Belgium | Status: Live in Production Company: Qonic NV Download the case study Key results:&hellip;<\/p>\n","protected":false},"author":31,"featured_media":32819,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":"","_links_to":"","_links_to_target":""},"class_list":["post-32784","page","type-page","status-publish","has-post-thumbnail","hentry"],"wpsp_post_type":null,"_links":{"self":[{"href":"https:\/\/www.buildingsmart.org\/wp-json\/wp\/v2\/pages\/32784","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.buildingsmart.org\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/www.buildingsmart.org\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/www.buildingsmart.org\/wp-json\/wp\/v2\/users\/31"}],"replies":[{"embeddable":true,"href":"https:\/\/www.buildingsmart.org\/wp-json\/wp\/v2\/comments?post=32784"}],"version-history":[{"count":0,"href":"https:\/\/www.buildingsmart.org\/wp-json\/wp\/v2\/pages\/32784\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.buildingsmart.org\/wp-json\/wp\/v2\/media\/32819"}],"wp:attachment":[{"href":"https:\/\/www.buildingsmart.org\/wp-json\/wp\/v2\/media?parent=32784"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}