Will Marshall
Analyst · Needham & Company. Your line is now open.
Great question. Yes, I mean, obviously the daily scan is pretty much unique and that's what's driving, I mean, it's the most applicable data set for AI, because it is a continuous data set, the same sun angles every day. You always know that it's on everywhere. And so, actually this having this data steep stack of over 2,500 images for every point in the land of the earth is the sort of data set that everyone's training on, less the tasking system. The tasking system is where there's other players of course that have tasking systems, but we are competitive for multiple reasons. We've got a lot of capacity, the fastest revisit rates on our SkySat system, and there's the complementarity between the two where you find changes in the PlanetScope data that and everyone want to take a look at, which is a sort of system, we call it Tip & Cue that no one else can do because no one else does the scan. Now, just talking as we go forward, obviously one of the exciting things with Pelican is that not only are we improving the resolution on that, we're improving the capacity for satellite on that, but with the twin new capabilities that we put on this next Pelican that literally just got to the launch site today, it has satellite to satellite communications to get tasks up and images taken faster. And it also has this latest NVIDIA chip that enables us, I think it's the fastest processor in space, and it basically enables us to do AI on the edge. That means you can do things like, say, look over take picture of a pic area of water, detect ships automatically, and just send down the pixels around that ship. All to say that that speeds up time from hours to minutes, and that's critical to a number of important applications. So, look, we're differentiated today. We continue to invest to make it better and better and the complementary nature between our data sets is always a boon.