Alex Modon

Ontological model.

Like a simple representation of a complex system.

Yeah, I did a kick in for a minute.

And you basically have a combination of like provide an environment that agents and people

LLMs can generate a bunch of code that fits within this framework that we've provided it.

And it has the ability to use all these deterministic tools almost the same way a regular engineer would.

And if you can do that in this model-led way, you basically have this parametric relationship to everything.

And what's really important is that, well, every time you tweak and adjust, it just gets better and it improves its like resilience.

So, yeah, probably like the biggest way that that shows up for our customers is that, you know, if you spend six months designing something and say you have another like three months before you kind of lock everything and you fund the project and you build it.

If you want to change something six months in, yeah, you'd like start over.

Yeah, and it's a total nightmare.

In this version, it's like everything's just like an updated variable.

So it's highly both optimized, but also you can iterate on these things.

So yeah, it's basically this combination of a very model-led approach that allows you to use these agents to write code, which is what they know how to do.

put on rails.

We certainly use simulation to compute basically the values that are required for the design, but we don't have- Give an example.

I want to understand what a mass flow rate is of a fluid that's going through a pipe with a certain consistency at a certain temperature and pressure.

And that's like a weird problem that you have to solve for that has multiple variables that are all interdependent.

Yeah.

So you run into a simulation environment and it explores a pretty wide space.