Sure. Hi, Allen. Great to chat with you. So one of the things that we are looking at is trying to bring some of those IoT capabilities and machine learning and AI into a particular sort of products offerings. And so today, if you look at the majority of the technologies, what we are seeing lacking primarily is a couple of different things. First, I want to talk about fall detection. So fall detection today typically utilizes things such as accelerometer and gyroscope, speed and tilt. So we are -- we actually have the patent on adding additional multifactor sort of sensor capabilities into a PERS device, including the capability to have an altitude rear, allowing us to lead the distance between sort of where you were to where you sort of ended up as a device and so think about this as tilts, speed and distance. And so that provides a much better accuracy around what is fall tech -- what really is a fall versus potentially you just setting down too quickly. And so adding those sort of features around machine learning and AI is one of the ways for us to actually fine-tune that fall detection to really be personalized to the individual, as well as giving us the capability to also take the aggregate data and be able to sort of learn more on how your sort of pattern of movement and so forth compared to those where we have similar age and perhaps the health background. And so, for example, we are able to -- as we sort of learn more of your capability and we start adding some of these features into the new products, be able to say, look, on Tuesdays and Thursdays, looks like you are falling, we check in with you and looks like it’s got to fall, but it happens at 10 o’clock at this geographic location, it looks like it’s a yoga studio. So on Tuesdays and Thursdays, what seems to be a fall is not a fall. So eliminating some of those issues related to both positives when it comes to reasons why people don’t actually want to wear a device because these devices go off all the time, thinking that you have fallen and it causes a bit of a nuisance for a lot of people who wear them. And so what we are really trying to do is to learn your patterns and understand basically how best to sort of manage your experience, as well as also, again, aggregate and sort of learn around that. So machine learning and AI is very crucial to that, and we think that, that’s really something that we are not seeing in the market today. Secondarily, you will see that all of our new products moving forward will include new sort of hardware features that make it much more modern in terms of sharing data for you to share data with us and for your caretakers to check and look to you and get the much more interactive experience and then we can add that to a better learning and understanding of who you are from a health communications perspective. And so instead of now being a reactive technology like a lot of these products are in the marketplace, we are obviously working to get you to help that you need quickly as possible, but we are also trying to be reactive and be proactive. So via a technology that is checking in on your health and allowing your caretakers to checking on your health more actively versus just basically responding where you are having an emergency situation and so it becomes a much more comprehensive technology product. How we sort of also win here is that, a lot of these technology companies or a lot of these companies that were competing against in this particular category space, they don’t have to make their own technology, they tend to buy them off the shelf, which is great. But we -- our technology, so we are building our own technology, so that means that we are building our own AI algorithm, we are building our own user experience that is more conducive to end user, your elderly loved ones, so that user experience is much more positive towards somebody who is aging, as well as a user experience that is conducive to a multi-care taker environment, whether or not that be a family of three or four, whether or not it’s a family of three or four in the next door neighbor and the professional care taker, right, because there’s a lot of coordination that’s involved. And so we are really focused on trying to bring a comprehensive technology suite to the market versus basically, hey, we are a monitor focused company and here is the independent product that we didn’t build, that we are going to make offerings to you and we will connect our sort of call services to instead offering product that have the same user experience across the Board. So we don’t have to relearn that, but also have a really wonderful sort of caretaker experience as well, because we know that at the end of this sort of product, it’s not just about people who are wearing the devices, but it’s also the people who care about them, the younger generation who also wanted to make sure that their family members are safe and now coordinating their care. And so we go into this, as we spoke about since we have taken over the company was this idea of having a CPaaS system, a caring platform-as-a-service of offering a really comprehensive capability to the care economy versus sort of things that you pull together randomly on different sort of offerings and products. I hope that’s helpful.