Yeah.

Um, we work with a range of different data sets.

We can work with payslips, we can work with bank statements, we work with open banking data, we can work with screen scraping data.

We don't care.

Send us the data, we'll crunch the numbers, we'll run the insights and analytics on it in a few seconds, and give you back a report so you can make a lending decision or help make a lending decision.

Um, how good does that play into what you guys do?

It is, in an era of ski- uh, schemes, in an era of scams and fraud, it's really pertinent at the moment.

Um, we are moving to a situation where all of these processes will be automated.

I'm not going to be able to adapt and survive on my own terms.

Yeah, so I've got, I can maybe bring an example that kind of illustrates this.

So first time I ever took, first time I bought a motorbike, as many people are, I was quite obsessed with getting my knee down on the track.

And I went and read a book about bike dynamics because I'm a massive nerd, which really helped me kind of picture how this thing was working underneath me.

So that was the knowledge piece.

And then there was the first time that I took my bike on track and I was able to kind of get my knee down between corners consistently.

And the feeling at that point is there was no bike.

Sorry.

Is that right?

Absolutely.

Oysters are filter feeders, and they are kind of combing the water column for algae, which is their food source.

We want generally less algae in the water column, um, 'cause when algae dies, it decomposes and sucks all the oxygen out of the water, which fish and crabs need to survive.

You know, anecdotally, uh, it's been said that oysters can filter 50 gallons of water per day per oyster, and we're planting millions of oysters per year in the Bay.

50 gallons is probably a little high.

Um, that's probably, you know, in a, in a perfect world.

Is that right?