Q So, I know that's going to be hard to respond in a few seconds, but what happens behind the scenes, right? I mean, this, this has to be some like data cleaning and formatting and all the things, right? If you build a universal sort of building block following applications, then you have to integrate with all sorts of disparate data sources. What, how does that, how does that work?
A So you have to provide the code building blocks. Like, if you think about, like, if you had to re-architecture, if you, if you were engineering architect of a company, and if you had to basically build this, what all building blocks would you need? Then you might need image processing building block that basically extracts all of those things. Then you might need basically ability to magically extract those things. That's an amazingly, amazingly hard problem. And we have something called program synthesis that basically allows you to do that. Um, and then you need an ability to run mathematical computation. How do you run mathematical, mathematical computation at scale? So it's pretty similar to lambda function, the way you saw, but it basically uses Excel-like grammar, and then from there it basically invokes. The reason why we had to build all of those ourselves is because, ah, we had to run on-prem, or we had to run everywhere. So we could not use any other cloud stuff, but that also allowed us to kind of like rethink everything from scratch, which means that now we could take this, compile this into a single binary, and you can run anywhere. Portability is one of the most important things, because that gives the distribution of stuff. Like, for example, if a company creates something for U.S. markets, now you can go in, in like seven days, now they can sell to every, every …
AI assessment note: “we have something called program synthesis that basically allows you to do that”