So I think I covered this in the call today and the last question with Sam, but let me iterate that. So let's think about 4 categories in which you want to sort all the sensor companies and figure out what's best about them. Believe it or not for OEMs, the number 1 is actually cost. Every conversation starts with understanding scalability of the technology, and what will be the cost for the sensor, but really, the cost of the delivery system that will deliver the ADAS then. So there's things from a cost standpoint, as I just said, things inside, they're predictable. So when we actually talk about some cost numbers, projection to the future to a level of economy at scale, it's much more believable. There's no fantasy. There's no -- these are things that we verify because there's fabs out there. These things are pretty easily reconciled. But the cost of a system is the interesting part. Think about when you have a vehicle like this, you'll have a lidar; you'll have some lower quantities of other sensor stacks including lidar and camera modules, and the ECU. Ultimately, our lidar with the higher resolution, some of the features, key features that we've developed, allows the system costs that they are forecasting today to be reduced. And through our partnership with our global consulting and management companies, what we found is that our system put inside a level 2 plus level 3, would be actually competitive to today's prices offered by camera module-based systems. So think about the cost competitiveness. We have advanced technology that is competitive today, which is also the bigger markets. That means that the market that MicroVision's technology could address is significantly wider than just what is in the future for level 3 or level 2 plus. So cost is a big one. So I would say, clearly, very, very confidently, I can say this and I check this, very confident. And when it comes to costs, best in class, hands-down. Next one is size. As I said, people still want to buy vehicles. And if they buy a vehicle, the design of the car is actually important. The beauty of it is still in the lines of the vehicle. So having a sensor that meets cost requirements and fits inside the body of the car in all different places based on what the OEM needs for flexibility, that's important. And this was apparent when we were at the show that everybody, all our competitors showing up hardware publicly, the number one thing when any OEM or Tier 1 visited us, that one of the first response to them was like, wow, It's really is very nice and small and tiny. And we went through and talk to about it, and they were very impressed. Seeing the live demos, seeing some of the other road testing there that we demonstrated, and the hardware there, I think -- so clearly like the size of it actually makes a big difference and it's a big advantage for us. Anybody that's been in hardware in the industry will tell you that if you're showing hardware and like our competitors where that are significantly larger, to reduce that to take several years and significant amount investment. But for us we're already there, this is another big advantage that we have. So again, I would consider as best-in-class because of that and that’s demonstrated publicly as well. The third one, of course, it doesn't matter what the features are, doesn't matter that range and the point clock density and the frame rate, and things like dynamic field of the view. We have labored -- our team has labored on defining these features and executing on them. And I can honestly tell you, years ago, 2019 when I actually went on the road and actually shared these features we intended to create with these OEMs, first of all, there was surprise that we actually had such a deep understanding of what was required. But after that, they were actually really impressed that anybody could even take on our dishes; go to produce something like this. We did it, we demonstrated it. And I think the impression is now that having these features inside, it is reasonable for them to actually say that other sensors as part of the stack could be removed, therefore, reducing the overall system cost. So if you have a lidar that allows reducing not just the future costs of our lidar but also their system, that's how they reach economies scale. That's how they'll have more models that they can actually put his on to. So that's an exciting thing. So this is how to think about features. It's not about this feature versus X feature. One OEM may value range more. The other one values resolution more. The 3rd one may value some combination. We can support all of them from the same hardware. That's a very, very big thing. We're not tied down. So as you mentioned, our team works very hard to polish the features and make sure that the OEMs, they get to see what's important to them. And from the same hardware, we're able to do that. So that's actually a pretty big win for us. So again, best-in-class. We don't have to develop a new product to satisfy their needs of understanding what's possible. The last one I would say, maturity technology. So as I said, things that I'm talking about, thing that these companies had have a long history. We have history with big companies like Microsoft and Sony and others that we have demonstrated that scale. So really, regardless of how much revenues companies generated in its history. The core technology maturity has been demonstrated, and that's actually a big part because that makes a believable, that makes something -- that's the partnership that people want. So again, I believe very strongly that our maturity of technology significantly higher for a silicon based system. People can have and other kind of beam strengthened technologies, but none of those are as mature as is cost-effective. So if you take all of these 4 legs up the table, you need all four to have a very, very secure product and to make the claim your best-in-class. And I'm very confident that I can say that we are best-in-class compared to any lidar Company out there at the moment.