Nick Talken

which I think makes us a multiplier in the industry, which is that's fundamentally why I am doing this is it's the best place to to be a multiplier.

Yeah, so we look at our tech stack as three different components.

We've got that system of record that we were kind of talking about before.

How do we replace the paper notebook with something that you actually collect your workflow in?

Then we look at our system of record that layers on top of that.

And that's really where the machine learning comes in.

That's where the rule engines come in.

I'd say the more traditional but still complex software engineering gets applied on top.

And certain things like regulatory information, you don't want an agentic system guessing or guessing what the next token is going to be.

for like something that you're going to put on a passenger plane and ship around.

That's a discrete rule.

You need to have that.

Then we have our system of work, which is that third layer that's at the top.

And that's where you've got the RAG LLM, the agenting network that sits on top of it.

And that's where we're starting to do like fully automate, you know, certain parts of the work.

So do people want to type things

data into a system.

Nobody wants to type data into a system.

Okay.

So you've got to get the data into Albert somehow.