Trimble Inc.

To build the iconic Beijing National Stadium at the Olympic Green, engineers turned to Trimble Tekla for confidence to model and detail. The very irregular nature of the structure, also known as "The Bird's Nest," demanded new and advanced methods of designing and detailing structural steel sections to minimize the weight. The interwoven structural elements of the façade produce a single surface, upon which further elements are arranged in a close-to-chaotic manner to blur the distinction between the primary and the secondary structure. Modeling and detailing the most complex and challenging parts of the steel roof took one year. The Chinese steel company Jinggong worked on the roof to produce symmetrical 3D views of its members and connections. They were able to do this by using the mirroring function in Tekla Structures. A huge number of sections and views were needed for this irregular assembly to represent all the relations of each steel part. Turning an architectural dream into a constructible reality. Read Full Article: https://bit.ly/4afasOM #Trimble #Tekla #ConstructionTechnology #CaseStudy

JE Dunn makes every project a model of excellence backed by Trimble connected tech that drives streamlined workflows, scalable standardization, and empowered teams. See the workflows that are making all the difference and watch the 4-part series here: https://lnkd.in/g5zp3FeW

As we celebrate this week of thanks, we want to extend our appreciation to all of our incredible sponsors that made #TrimbleDimensions 2025 possible.

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How can Hollywood VFX expertise end up shaping the future of construction technology? Meet Sean Snyders, a Distinguished Engineer at Trimble who is bridging his past experience in the world of visual effects with the world of construction through 3D technology. In this must-read article from Alliance for OpenUSD (AOUSD), Sean reveals how OpenUSD (Universal Scene Description)—the technology behind incredible 3D content—is being adopted to transform construction workflows by enabling more fluid data exchange, collaborative modeling, and simulation. He shares how Trimble is utilizing and supporting this open standard to unlock #digitaltwins, while maintaining full fidelity with the company’s highly specialized, domain-specific datasets. Learn how OpenUSD can connect the physical world of construction with digital workflows in unprecedented ways. Read the full story here:  https://lnkd.in/gh4YPdeW #OpenUSD #AEC #DigitalConstruction #BIM #Trimble #ConstructionTech #Innovation #DataStandards

We have a winner! 🎉 Congratulations to Navlive, crowned as the European Pitch Day Winner at CSC2025! Their innovation, an AI-powered handheld scanner to create instant models and streamline design workflows, represents the Future of Construction. With this, we put the finishing touch on an incredible edition of the Construction Startup Competition. A big thank you to our partners for making this possible: Cemex Ventures, Caterpillar Inc., Dysruptek, Ferrovial, Hilti Venture, Leonard, NOVA by Saint-Gobain, Trimble Inc., and Zacua Ventures. #CSC2025 #FutureOfConstruction #Innovation #ConstructionTech

From dull to differentiating: How AI is transforming financial management in construction The construction back office has its own version of "dull, dirty, and dangerous", consisting of the manual, monotonous, and error-prone processes of payroll and invoicing. These workflows are vulnerable to human error, leading to cost overruns, delays, and critical cash flow constraints. The good news? AI and Machine Learning are changing the game. We are seeing AI integrated into construction ERPs to turn the "dull" into the differentiating. Smart systems are now acting as "audit angels": ✅ Auto-validating timecards and flagging discrepancies in prevailing wages across different jurisdictions. ✅ Instantly recognizing pricing or quantity patterns in invoices to catch costly mistakes before payment. ✅ Liberating finance teams from tedious data entry to focus on high-value, strategic analysis. To understand how your firm can transition from reactive process management to a predictive operational model, Read full article: https://lnkd.in/gkJtMNVe