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<\/p>\nDozer CEO and co-founder Andrew Tam believes that infrastructure projects can be more efficient and safe if sites are effectively monitored.\u00a0<\/p>\n
This idea ultimately led to the creation of Dozer a few years ago. Here\u2019s how the platform works: Cameras and sensors are attached to heavy construction equipment to capture activity in real time. The data collected can then be used to help increase productivity.\u00a0<\/p>\n
Dozer joined the St. Petersburg-based spARK Labs by ARK Invest incubator this summer. An announcement was made last month.\u00a0<\/p>\n
Tam argued that many infrastructure jobs have had challenges or inefficiencies due to missing information. As a result, there is a lot of idle equipment and labor delays. Moreso, valuable time is wasted.\u00a0<\/p>\n
\u201cWe actually started this knowing that there was a large labor shortage coming,\u201d he said. \u201cPeople are working and the effort is there, but the information just isn\u2019t traveling down the pipe fast enough.\u201d<\/p>\n
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Dozer CEO and co-founder Andrew Tam<\/p>\n
Artificial intelligence plays a critical role in the Dozer platform.\u00a0<\/p>\n
Cameras on the equipment track items in 3D, Tam explained. All of the video collected is sent to the cloud. Artificial intelligence then extrapolates \u201ca lot of the anomalies and productivity metrics.\u201d\u00a0<\/p>\n
\u201cWhat we\u2019re doing there is unpacking the job and unpacking the context,\u201d he said. \u201cWe\u2019re not just taking snippets. What we\u2019re doing is actually watching the job and learning how the job is done.\u201d<\/p>\n
This process replaces tedious manual data collection.\u00a0<\/p>\n
\u201cIf somebody basically assigns you to watch the rear end of a dozer, you\u2019ll do it for a certain number of hours,\u201d Tam said. \u201cBut, humans get kind of tired when machines don\u2019t. Leveraging AI to have the backs of our operators in the cabin is one of the, I think, best use cases that we can showcase for AI.\u201d\u00a0<\/p>\n
While the company was founded in the San Francisco region, he added, expanding to St. Petersburg made sense.\u00a0<\/p>\n
\u201cThere\u2019s a lot of benefits to joining spARK Labs,\u201d Tam said. \u201cThe network, people and community here allow us to integrate well into an area that is not unfamiliar with construction.\u201d<\/p>\n
He explained that storms have had a devastating impact on local municipalities within the past few years.\u00a0<\/p>\n
\u201cWe would love to be able to be a part of helping these communities rebuild,\u201d Tam said. \u201cIf we can provide any information on how things can get safer or how things can get done faster, I think that helps everyone in terms of cost and labor.\u201d\u00a0<\/p>\n
Since becoming a member of the spARK Labs by ARK Invest incubator program, Tam and his team have networked with advisors and other founders. He argued that being able to learn from individuals who have scaled companies before is an invaluable opportunity.\u00a0<\/p>\n
\u201cDozer AI is bringing real-time intelligence to an industry where better data can have a significant impact on productivity, efficiency and ultimately the bottom line,\u201d said spARK Labs CEO and president Becca Brown in a statement prepared for the Catalyst. \u201cThey\u2019re giving developers and construction companies greater visibility into what\u2019s happening across their operations and the ability to make smarter decisions faster. We\u2019re excited to have the team at spARK Labs and to support their growth as they scale.\u201d<\/p>\n