According to a recent LinkedIn post from Onfly, the company is drawing attention to the importance of preparing BIM models early to ensure reliable DOE (as-built documentation) at project delivery. The post emphasizes that incomplete, poorly named, or dispersed data in BIM workflows can lead to rework, delays, and friction between project teams at the handover stage.
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The LinkedIn post highlights a technical demo that focuses on improving BIM model reliability ahead of DOE, with an approach centered on data quality, parameters, object structuring, and deliverable preparation. By positioning its expertise around simplifying and standardizing BIM data management, Onfly may be seeking to strengthen its value proposition for construction and digital construction clients who aim to reduce project risk and lifecycle costs.
The post suggests that better-prepared BIM models can support cleaner, more readable, and more exploitable data throughout project execution and at delivery. For investors, this focus on data quality and BIM management could indicate a strategic push into higher-value workflows where efficiency gains and risk reduction are key buying factors, potentially supporting customer retention and pricing power in the digital construction segment.