5.4.22-Startup-Ecosystem-Pathr

ZOE CAYETANO: Hi, everyone. My name is Zoe Cayetano. I'm the head of product here at Pathr AI. So what we do is deliver spatial intelligence in physical spaces in a privacy-preserving way. Our history actually goes back here at MIT in the Media Lab where our founder and CEO developed the technology back in 2009 called spatial intelligence.

Here's a problem that we're hoping to solve. A lot of companies today are operating and managing physical spaces. But they want to do it in a data-informed way. But so far, it has been very difficult. And one of the biggest barriers that we've seen is they needed specialized cameras or sensors to be able to see and measure how people move and interact in physical spaces.

And this is where we come in. We have a software solution that allows people to measure how people move, interact, and observe that over time and in real time, using existing data sources. So how do we do it? First part of it is we use existing data sources. Most commonly, that's your existing CCTV cameras that is typically used in security and loss prevention use cases.

Our software is built to be able to tap into those existing cameras and devices and produce meaningful insights and metrics. For example, for a retailer, that is measuring how customers and staff interact and how effective those interactions are. Where do people shop, and how do they flow in a physical retail store, and where do people buy products from?

For a manufacturer, that's looking at how productive their employees are, and how do they flow through a space? Are there inherent bottlenecks in the productivity of your employees, just based on how the space is designed and where equipment is placed? And here's a more universal use case. For companies that are operating in a physical office building, we have use cases such as looking at how do people use amenities.

And now people are coming back to the office and renovating their spaces, introducing new amenities, so things like what is the ROI and the usage of those new amenities that you're introducing, so that you can entice employees and your team members to come back to the office and collaborate with one another. So there are a tremendous amount of use cases, with anything, any metric that we can measure about how people behave, move, and interact in physical spaces.

So from a technical implementation perspective, this is a typical data pipeline. We would typically ingest an existing data source like CCTV cameras. We would look for where people are, based on all of those feeds. And then from multiple cameras, we stitch them together in a common coordinate space. And typically that's as a floor plan.

And then from there, we measure behavior based on moving dots on a floor-plan. And that makes our software really privacy-preserving, because we're not identifying people based on their physical characteristics. It's just based on their behavior, and classifying metrics, behavioral metrics, really in a privacy-preserving way. And we surface these insights through dashboards and as well as real time alerts like text messaging, email, or devices that staff members would have.

This is in production today. And here's an example of a customer that is using Pathr AI today. This is a grocery store chain. And one of the things that they wanted to measure and drive is to be able to empower the store manager that is on duty. So they wanted to see exactly what's going on within the entire store, whether it's how many people are shopping and what are the classifications of those people that are entering. Are they groups? Are they families of four, couples? And how long is the wait time or the queues at the checkout or the deli?

So we are being we are able to measure all of this and surfacing these insights into a common dashboard, so that the store manager can be empowered to open and close cash registers, or help send employees to restock or replenish items back on the shelf. And on top of that, understanding how shoppers behave in this grocery store, looking at do they dwell at the deli or the meat department, or what fixtures are they buying products from?

We serve a variety of different industry. Retail has been one of our core focuses. But we're also in manufacturing, warehouses, distribution centers, and office buildings. You could see this in production today worldwide across multiple locations and across the world.

And just to close, we are looking for customers to do paid pilots in. That's typically lasting 30 to 60 days, less than one month of setup. So you can get a pilot up and running, kick the tires really quickly. And we operate worldwide.

Lastly, we're also looking for go-to-market partner to scale this technology forward. And if you are interested, we have an exhibit at the networking reception later on. And my email is Zoe@Pathr.AI. Thank you.

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