According to McKinsey, large projects typically take 20% longer than scheduled and can run up to 80% over budget.
Our customer, an AEC leader in the United States, consistently bids on a high volume of construction projects. But success depends on one critical factor—feasibility. And at the center of feasibility is a question that’s often complex, time-intensive, and expensive to answer: What is the soil type beneath the ground?
Prior to engagement with CloudMoyo, soil type detection relied on manual borehole testing. The process was asset-intensive, slow, and required significant upfront investment before a project could even move forward. This made bidding cycles inefficient, delayed decisions, and sometimes led to missed opportunities or unexpected risks later.
But what if soil conditions could be assessed digitally with AI, even before stepping on-site?
CloudMoyo partnered with the customer to make this possible. Download the case study to learn how>>>
