Hospitality Hangout Series Featuring Evan Desantola, Co-Founder & CEO at Agot.ai

They had noticed the advances in computer vision perception technologies were not being commercialized. DeSantola says, “so when we left CMU we figured hey we know that this is a really ripe area for innovation in the computer vision space and we just kicked it off.” He adds, “we’re just excited to bring this technology to scale across multi-unit foodservice.”

DeSantola explains how it works, “So our system, we just put cameras over the line and we watch what’s being prepared.” He adds, “we just flag different operational issues that could potentially emerge in foodservice whether this is an employee getting to send out an extra chalupa, to perhaps certain operational practices not being performed to the best way that they could be.” Agot AI’s Kitchen Awareness platform captures meal orders from in-store, online, or drive-thru and their Interventional Order Accuracy technology identifies items being prepared and issues real-time correction alerts to line workers ensuring items are ingredient accurate and bagged correctly.

“We’re tracking from the beginning to the end of every single meal item. As they’re going in the bags as all the ingredients are going on these individual meal items as they go out to the customer and that really allows us to provide a ton of different effective points to provide value for the restaurant,” says DeSantola.

Frischling asks DeSantola how accurate Agot is in picking up order discrepancies and he says, “so with our technology franchisees can reduce the majority of their order errors with almost no changes to the current off flow. So the exact reduction is going to differ brand to brand and it’s mostly dependent on compliance of fixing these errors as they go out the door. But we’re talking near zero employee error rates as opposed to the current error rates that we’re having and that’s for napkins, that’s for pickles, that’s for drinks.” Adding, “It’s just about what’s in camera view.”