NATHAN WILSON: So artificial intelligence is reaching the point now where it can solve not just perceptual problems, like may helping us see better and helping us understand speech, but also cognitive problems, like supporting us in the field for our decisions and helping us service the right information at the right time to our people.
And around MIT, people have been codifying enough of the blueprint that we can start to put this into systems and use it. In the past decade, it's really started to come out at this point in history. So we at Nara Logics are encapsulating this into a system that we call SynapticIntelligence, and we're deploying it into larger organizations in production.
Everybody here in this room who manages their organizations and drives digital transformation knows that this actually exacerbates the problem of too much information. This is a growing problem. As we digitize, there's more information, and meanwhile, human bandwidth is shrinking. So we want to flip that problem on its head and make it so that when we get more data, it helps us actually route the information to the right person to deal with the bandwidth problem.
And so we see systems where, when we power things for our customers, it helps them by putting the right products to the customers at the right time, and also, empowering the employees so they can find what they need at the right time. And so we do this by providing answers AI and plugging into your systems to make this possible. Specific examples, Rebecca talked about the implementation of Procter & Gamble. This helped them deploy in a couple of of weeks. Sat in the middle. They had their interface.
An app, Olay Skin Advisor-- you can download it right now. It takes a picture of people's faces, and through those factors, tells them which product at P&G should be used by them. And it does this in real time with explainability. A similar problem, which doesn't sounds the same, but it's really the same problem-- for intelligence, we have systems in production right now on pre-running in the agencies that are helping them find, through the world, the news being serviced every day which information should be serviced to which analyst at which time.
We do this again, just totally plugging into your data. We take your data coming in. We can augment it if you want. And we sit on top of other AI systems generating data. And we put our cube in the middle in front of your interface, which is then going to let you show things in the way that you want and service the right thing to the right person at the right time. We have proven results across industries that are better. We have the explainability. And it's really easy to plug into systems, whether it's in the cloud or on-prem.
So if anyone out there is interested in digital transformation or wants to support the flip side of using the data to make better decisions, and you're doing a build strategy and you really want to do it right-- you want to break down the data silos, of course. We're interested in finding you if you're interested in moving beyond pilots to actual production because we know how to guide it there. And we love to work with people who have that forward vision.
If you're in any of the industries where we've found fertile soil that this works, please feel free to reach out to us. And definitely come see us out at the table at lunch. Thank you.