But what do you see as the next big kind of leap forward, either technologically or more market driven?

Yeah, so I think on the technology side first, right? The folks that had these big data sets and know how to train these new models are going to be able to scale and deal with interventions and work amazingly.

It's going to be absolutely huge on that front.

So I'm very, very excited for this chapter and actually applying it like I don't want to apply it to a humanoid in a field picking almonds like I want to apply it to form factors designed around autonomy.

And I think just getting autonomous stacks to a diverse bleed of machines is now possible than like picking one specific use case and drilling down and writing all these codes like we're going to be able to go horizontally much, much quicker.

I do think on that front, like we are entering a new world where we can have dexterity inside agriculture.

Like it was very hard to write code to pick a strawberry or an orange or actually do what these humans are doing in 3D space.

How do you manage the ability to data share and to integrate with other ag technologies?

But before we really dive into who Bonsai Robotics is and what that's about, Just share with our listeners your story, Tyler, how you got to where you are today.

Yeah, most definitely.

So I grew up in Southern California in a beach town, a bit far from most conventional agriculture.

But what really started for Christmas when I was 12, I asked for a welder from my mom.

And my mom was like, what do you need a welder for? So I was into building things.

My grandpa was an IndyCar racer.

So I'd always had that, I'd say, knack to build things.

So how have you approached this problem solving from single vision to dual vision or stereo vision versus LIDAR versus radar or other sensing elements out there?