Case Study: Jacobsen Construction reduces submittal log prep time with Pype AutoSpecs

A Pype Case Study

Preview of the Jacobsen Construction Case Study

Gaining better understanding of the spec requirements with Pype

Jacobsen Construction faced a significant challenge with its project submittal process. Under tight deadlines, their team rushed to create these logs manually, which was time-consuming and left little room to analyze what specifications were truly required. This lack of clarity made it difficult to manage requirements efficiently on large-scale projects, prompting their search for a better solution.

To address this, Jacobsen implemented Pype AutoSpecs. The solution from Pype used machine learning to automate the review of project specifications and the creation of submittal logs, slashing the time required from 30 hours down to just 3. This 90% time savings allowed project teams to focus on understanding the requirements and mitigating risk. The Pype platform was easily adopted and integrated seamlessly with their existing systems, leading to improved project documentation and efficiency.


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Jacobsen Construction

Mark Decker

Director of VDC


Pype

19 Case Studies