Beyond the Blueprint: How China’s Glodon is Rebuilding Construction with 'Industrial AI'

Glodon is leading a strategic shift in the construction industry by introducing 'BIM 2.0,' a data-driven framework that integrates artificial intelligence into the entire project lifecycle. By moving away from general-purpose AI toward specialized 'Industrial AI,' the company aims to solve long-standing inefficiencies in design, cost management, and site safety both in China and internationally.

A white robotic arm operating indoors with a modern design and advanced technology.

Key Takeaways

  • 1Glodon is transitioning from traditional modeling to a 'DATA+AI' strategy dubbed BIM 2.0.
  • 2The focus is on 'Industrial AI' which combines proprietary domain knowledge with large language models to solve specific engineering problems.
  • 3New digital systems like PMSmart are reportedly saving an average of 400,000 RMB per project through better material and schedule management.
  • 4The company is pursuing a global expansion strategy targeting Southeast Asia and Europe to create a second growth curve.
  • 5Strategic alignment with China’s 'Six New Infrastructures' initiative involves trillions of yuan in potential investment.

Editor's
Desk

Strategic Analysis

Glodon’s pivot to 'Industrial AI' reflects a broader trend in the Chinese tech landscape: moving away from consumer-facing software toward 'hard-tech' solutions that support the real economy. For years, the construction sector was a digital laggard; however, as the Chinese property market undergoes a painful deleveraging, the survival of firms now depends on marginal efficiency gains rather than land appreciation. Glodon is positioning itself as the essential infrastructure for this new era. Its move toward self-developed graphics platforms (GDMP) also signals a strategic push for 'technological sovereignty,' reducing reliance on Western software like Autodesk in critical infrastructure projects. If Glodon successfully scales its international operations, it could challenge the global status quo by offering a more integrated, data-centric alternative to fragmented Western AEC (Architecture, Engineering, and Construction) tools.

China Daily Brief Editorial
Strategic Insight
China Daily Brief

For decades, China’s construction and real estate sectors were defined by breakneck speed and a focus on scale. As the era of rapid expansion draws to a close, the industry is entering a mandatory period of 'refined management,' characterized by a shift toward efficiency and high-quality development. This transition is being spearheaded by digital leaders like Glodon, which recently unveiled its vision for the future at the 2026 Engineering Digital Intelligence Conference.

At the heart of this strategy is the move from BIM 1.0 to BIM 2.0. While the first generation of Building Information Modeling (BIM) was primarily used for static 3D visualization and modeling, Glodon’s new 'DATA+AI' framework treats data as the core asset. BIM 2.0 aims to drive full-lifecycle integration—connecting design, cost management, and construction—to ensure that digital models are not just visual aids but active drivers of project ROI and safety.

Glodon’s leadership emphasizes that generic artificial intelligence is insufficient for the complexities of the construction site. Instead, they are betting on 'Industrial AI,' a specialized approach that merges general AI capabilities with deep industry-specific knowledge and proprietary software. This allows for 'single-point' efficiency gains, such as AI-driven contract reviews and automated quantity take-offs, which can reduce labor-intensive tasks from weeks to hours.

This digital transformation is also being exported. Glodon is currently executing a two-stage global strategy, moving from initial market research and localized acquisitions to a phase of large-scale operational expansion. By targeting markets in Southeast Asia and Europe, the company is positioning itself as a global alternative to Western digital construction giants, betting that its integrated data approach will solve the universal problem of low productivity in the global building industry.

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