Outline: Unlocking the Next Frontier of AI with BIM

AI at a New Inflection Point

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Artificial intelligence has evolved from speculative innovation to core infrastructure shaping industries worldwide. At the centre of this transformation are Large Language Models (LLMs), built on transformer architectures that have redefined how machines process language. Yet, while text remains their strongest domain, the next frontier lies in applying transformer-based systems to complex, structured data beyond language.

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The Challenge: BIM and the Construction Sector

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The construction industry stands at a digital tipping point. Building Information Modelling (BIM) — rich, 3D, multi-layered data — underpins design, construction, and operations. However, despite BIM’s ubiquity, no existing AI systems have successfully harnessed its complexity. This represents both a technological challenge and a vast untapped commercial opportunity.

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Passion Labs’ Innovation Thesis

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Leveraging insights from domains like vision and audio, Passion Labs is developing a novel transformer-based mechanism to interpret and generate BIM data. This involves pioneering new tokenisation strategies for structured, multi-dimensional data — extending methods proven in other fields but never before applied to BIM.

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Proof of Concept: A Transformative Step

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Our POC is:

• Enabling transformer models to parse and generate BIM representations.
  
  
• Demonstrating practical applications such as automated design suggestions, error detection, and intelligent simulations.
  
  
• Contributing to broader research on structured data tokenisation, with implications for geospatial and engineering domains.
  
  

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Strategic Impact and IP Value

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This project positions Passion Labs at the forefront of applying frontier AI to a high-impact, under-innovated sector. Unlocking BIM with transformers could redefine productivity, accuracy, and innovation in construction: establishing defensible, high-value IP with cross-sectoral applicability.

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