OnSiteIQ has developed a data set for construction photo documentation that is unparalleled in the industry. With over 300 million photos of documentation across their portfolio, the company hit a point where knowing how to use those images became just as important as being able to gather the images in the first place.
Here is a good way to think about the development of artificial intelligence (AI) in OnSiteIQ’s technology. Consider a toddler learning a language. Before a toddler can tell a story, or talk in complete sentences, it must first learn the alphabet. Once they’ve gained a baseline understanding of what letters are, and what they represent, then they can start learning how to write in sentences. Once the toddler has a firm grasp on sentences, then it can begin to construct stories and conversations in an intellectual and sophisticated way.
In many ways, the development of AI is following a similar path, and OnSiteIQ is paving the way for the industry.
If we’re using the same analogy of a toddler learning a language, it is safe to say that OnSiteIQ is at the point in the development of their AI where they are learning how to write complete sentences. They are in the process of assembling an artificial intelligence infrastructure that is capable of providing real-time context to owners and developers of construction sites.
By September of 2019, OnSiteIQ had grown a reputation as a breakthrough tech company that provides construction photo and video documentation to owners and developers of construction sites. 360 Photo documentation in and of itself has been a gamechanger for the industry, as OnSiteIQ’s technology allows their customers to reduce risk, and ultimately keep a better construction schedule and bottom line.
However, OnSiteIQ was not satisfied and noticed a growth potential in May 2020. They determined that their 300 million photos they were sitting on across their portfolio of construction sites, was a data set that no other company could compete with. Rather than have those images sit around and collect dust, they thought about the potential of what an AI integration with their technology could do for their customers. Thus, their AI search engine was born.
With that data, OnSiteIQ developed a “neural” system by which AI technology can identify key elements of a construction job, and provide a real-time assessment of its progress. It is at the point where it can identify over 60 items common with construction sites, and derive an assessment based on the image.
For example, users of this artificial technology could enjoy typing in the word “window” and watch the OnSiteIQ technology, with help of its AI integration, provide both the context and progress of how the window installation portion of their construction project was going. This breakthrough now elevates the remote accessibility of an owner to an even higher level, because now owners can get contextual information within their photo and video documentation.
The evolution of OnSiteIQ’s technology to integrate with AI reporting should not be understated. Previously, an owner was left to arrive at an assessment of the job site’s progress based on imagery alone. Now, along with the photo documentation, the owner can enjoy an assessment of the percent completion, contextual story, and ultimately the quality of the build.
At the end of the day, the owner and/or developer is responsible for the success or failure of a build. Why not have a tool that offers the best visual data, and soon, a real-time platform giving you the context behind the safety, quality, and progress of your project?
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