That's a

great question.

I think you miss or you risk staying very shallow.

And shallow solutions are, first of all, easily replaceable.

Second of all, it's hard to provide value if you don't really understand the problem you're solving.

So it's just like a no-brainer.

It's a must, really, to go as deep as you can, especially with AI being so new to everyone.

logistics providers,

Domains.

So we, we started building AI agents that would call drivers to see where they were, which was a pain point that one of my co-founders had had in his prior life as the CFO of one of the largest olive oil distributors.

So we started with a very particular task, and then we realized that in order to serve the enterprise, in order to serve the biggest companies in our initial niche of logistics, we would actually have to build more of a platform.

So less of a point solution, more of a platform that would actually allow us to build different agents for different parts of the house.

That was the biggest realization for us, that i- in order to work with DHL or some of the largest ocean carriers, you know, those big boats that actually move the world, billion-dollar companies that are, that are, that have a lot of smart engineers, we would actually have to build the infrastructure for them to, to build their own AI agents.

That also real- like, made us realize, wow, we're not just building AI for logistics.

We're actually building AI for operationally complex businesses that have to have agents coordinating work.

I know that you did your big pivoting when you were in the US, but did you, could you imagine you could have done the same thing by staying in Europe?

Uh, for those who don't know, who maybe aren't close to the business, can you talk through some maybe, like, real-life use cases where you're saving enterprise clients time or adding a lot of value?

Yeah.

So we, we think about our platform and our business really as a very horizontal product that helps a very specific set of niches or verticals.

We do that because we go extremely deep in the businesses that we serve.

We go and serve all of the core functions of the enterprise, uh, from order to cash, if you will.

From helping a customer, um, reply an email, uh, to quote their own customers or to give customer service to their customers or to, um, let's say, um, provide information of where a certain shipment is, if we're talking about supply chain, uh, onto the back office operations of reading documents, uh, collecting that paperwork and organizing that paperwork, or even collecting payments at the end of that cash piece, you know, from order to cash.

I'll give you an example in the, in the logistics space, for example.

What, what was the moment where you, uh, maybe you found product market fit or things really started to take off, where you, where, where you kind of went from building something scrappy, is this gonna work, to all of a sudden you're, like, running with the momentum?

Luis, you talked about the complexity of really mastering sales, you know? You guys started as sales and support, and so what are some of the other surprises that you've had, having started with more complexity, I think, than some of your competitors?

Mm-hmm.

So one thing that we heard from, uh, one of the largest trucking companies recently was typically when we buy technology, we see where we can a- apply that.

With you guys, we actually have a problem, and we come to you guys with that problem because we know that as a platform that you've built, we can pretty much build any type of agent for our operations, from sales to customer service, back office support, and, and operations, and even collections.

So some of the use cases that customers came to us were, "Hey, we have a huge collections problem.

Can you build an agent to reach out to customers via email or voice and collect money?" We're like, "Of course." Uh, we talked about this use case with one of our largest, um, um, supply chain companies and cust- customers, um, where we need to call customers to recover duties on parcels.

And today we're running campaigns of 20 to 50,000 daily, um, outreach to customers, collecting duties on parcels that otherwise they would not get if they don't pay the duty on the parcel.

Mm-hmm.

Sure.

... of interaction we call it.

So, we define it as a layer of interaction, layer of, um, of connectivity, if you will, that sits on top of the actual data that already exists today.

You can have a, a transportation management system, a, a, a warehouse management system, an ERP.

If you're talking about the shippers and distributors, today we serve multiple verticals within supply chain.

Uh, shippers is one, freight brokers is another one, ocean carriers is another one, right? But, but right on, right? Like, this is exactly what we're doing.

We're building that layer of interaction so that users don't have to go and look for that little detail on the TMS, "Where the ship-

Yeah.