 Thank you for being here. It's a crowd, but it's great, so that is amazing. We'll be presenting Leelab's take on why Assetters are bad. Directors and Assetters are bad. And I will try to quantify the impact that they have had on Loethorbit and why commercial companies like Leelabs are doing what they do and how they are trying to solve this problem on their end. Before we start, I will take you back in time to 15 November 2021 when Cosmos 1408 broke up and the timeline that followed, because this was a surprise for our team as well. And it was a stress test for our platform and our team. And I believe they performed beautifully because within the first two days, Leelabs was able to report 253 new fragments and characterize this event as a non-hypervelocity collision. This characterization was helpful in understanding the extent of the debris that will be created and the distribution and fragmentation size and their orbits. Over the course of time, as we tracked this event, we observed high in conjunction alerts for different customers as the debris cloud persist in its orbit and pass through the plane of different constellations. So we observed and alerted our customers about that. And even now, 600 days since the event, we have seen rapid de-orbiting of the cloud. And the majority of the cloud has decayed, but large debris remains in orbit, which still continues to pose threat to our customers and, in general, to other operators. So that is why ASET tests are bad. So that is the goal here. And this is all the reporting done during this event as Leelabs was vocal about it and was sharing this information publicly so as to inform the overall operators and, in general, the policymakers. What can we say about the situation right now? There are three collision-induced clouds that dominate low-earth orbit right now. And the extent is such that the break of fragments from these events account for almost 15% of all the objects cataloged to date, that is, since 1957. And roughly 45% of dangerous conjunction events, when I say dangerous, that means high probability of collision, observed are involving the remnants from these 10 breakup events. So what are the top 15 clouds that are there in Leo? We can see it on this chart. And we can clearly see the collision-induced clouds dominate in terms of the size of fragments that have been created and the person still on orbit. So that is why ASET tests are so detrimental to the overall environment. If we were to take all the resident space objects in orbit and characterize them based on object type, then we can clearly see the majority of the population is debris. And majority of debris population is the collision-induced cloud, like Fingern 1c and Cosmos 1408. So again, re-iterating why the collision-induced clouds are causing much more trouble and have such great debris generation potential. What we have seen in 2022 is, as we collected all the conjunction alerts that we published for our users during this time, we ranked these different clouds based on the total conjunctions that were generated. And we can again see that top three rank holders are the collision-induced clouds. So those are the total number of conjunctions that were generated, high-risk conjunctions that were generated due to these clouds. So that is the threat that they are posing to operational satellites. And it's not just any number. If you see the rank four and rank two and rank one, the difference is three times, right? And if we take into account the probability of collision and take a product of it with the mass of both the objects involved, then we get aggregated risk from that particular event. And if we aggregate the risk or all the events that these clouds have been involved in, then we can again see Fengen 1C topping the chart, which is because it is in this neighborhood where there are these large rocket bodies and hence the mass involved in these collisions are big, which means the debris generation potential is big. So this is what we are looking at, where there's a spike in 700 to 900 kilometer altitude, that is, the debris generation potential is more and the collision rate is more in this neighborhood. And that is why this is a bad neighborhood to be in. So do not send your satellites up there. Okay, so what is the solution? The solution is expanded ground-based radar network because we believe that radars are very nicely suited for tracking objects in low-athorbit, large FOV field of view, and rapid rate of cataloging and tracking all of these satellites continuously and getting lower covariance on all of these. So the goal is to reduce the latency and ensure continuous tracking and have realistic covariance because realistic covariance is very important if you want to take action and do something about it. The goal is to demystify Leo environment because we just don't want to generate data and put it out there. We want to provide valuable insights which the operator can take action on. So that is what Leo Labs is doing. We have a global radar coverage. We are expanding our radar network. We just inaugurated ASOS Portugal radar last week and we are putting out Argentina radar soon. We are building it. So the goal is to have a good radar network so that we can have these metrics that we have right now and improve upon it. We can have reduced latency from radar pass to satellite e-firm within 15 minutes. We can have faster processing of conjunction screenings. We can have millions of state vectors generated within one month and we can have faster on-demand screening results. I really don't know why it showed as O equals N. So there's something wrong. But overall, you can see the metrics are phenomenal and that is what will help in operations, right? Okay, so not just the radar network, the building the infrastructure. We are also building the platform and we show our work. We are transparent and we make sure that our solutions are traceable. We want to make sure that when we present a solution to you, you can trace our solution to our data to the solution and make informed conclusion about it. So that is the goal. We are generating conjunction data messages often so that the operators are alert about it and can take appropriate actions. And we are generating other dashboards so that the customer demands can be met according to the mission they are addressing. So overall, the goal is to create a comprehensive suite of analytical tools, again to generate insights and address the problem as and when it happens. If an event happens today, we are making sure that we are prepared to solve it and we are creating custom tools like LeoBreakup to address that problem. We are making sure that we can do forensics of a breakup event as the initial data arrive and we can provide near real-time alerts to our users. So again, rich dataset will form the foundation of governance and norms. And that is what we are going to see here. We can see how the recent breakup of Chinese rocket body was affecting the environment as the number of conjunctions or different timeline can be seen here. And we can see there are clear spikes and loads in terms of how the conjunction rate was changing over time. I'll move a little faster since I'm out of time. But the LeoBreakup app is what I'm talking about to do short and long-term impacts on the neighborhood and assess the spatial density so that we can say clearly at what altitude the major impact is and where it will create problem for the operators. Finally, we are in space race 2.0 and what is driving the competition is because they are increasing stakeholders and there's lack of norms. So there's no way out of it other than having more data and creating more insights for our users. In all, the goal is to provide comprehensive space domain awareness and have continuous scalable, reliable solutions to enable space safety. In summary, direct ascent tests pose increased risk. A complete ban on these tests is the ideal outcome. But if an ASET test still occurs, the information and collision risk should be shared publicly. And commercial companies are major stakeholders and that is what LeoLabs is trying to do to continuously support operators and plans to enhance tracking capabilities over time so that we can continue to generate more insights for our users. Thank you.