Scenix is building infrastructure — not robots — that is naturally model-agnostic and embodiment-agnostic, providing the digital worlds where any robot type can learn and evaluate.

27:19a 3D printer and you're going to be making hardware and then you're going to be programming the brain of a robot and sticking it in the robot and then you've got a robot. And I don't think that's what you guys are talking about here. So maybe talk about what you know where this fits in the life cycle of creating a robot and like where you will end and

27:39where the rest of the ecosystem will will begin. So what we have been building you can imagine is a infrastructure like with the softwares around this infrastructures for people to for them build words such that robot can learn and evaluate and this infrastructures is naturally model agnostic and embodiment agnostic. So I just want to be very clear just because this is actually a very subtle for you

28:04it's obvious but it's a very subtle point which is um from what you said that's not building a robot it's building an environment which another company can place their robot brain >> exactly >> to navigate and to learn. >> Yeah. So for our customers right now they have all different kind of robots. Some are using for them single robot arm some are using bio some are using a

28:26fixed arm. Some are using like a mobile manipulators. Some using grippers, some are using some more elaborate versions of the end factors. So our platform right now is just naturally embodiment agnostic. We can very easily integrate different kind of robotic embodiment be able to put them into the works we generated with digitalized such as we will be able to give those individual robots capabilities of doing the right

28:48tasks and at the right levels of reliability and efficiency in the real environments. >> Yeah. >> And we are also for example model agnostic. So we can just using the data generated by our words to train different models either from scratch or doing post training of existing foundation models like vision language action models or word action models. So to us it doesn't matter we just want to

29:11making sure we have the infrastructure we have all the words such as the robot can work reliably in the real environment. you know, you you you have uh told me um that you think uh a lot of the predictions around humanoids were a little bit aggressive and we're likely to see more constrained rollouts like warehouses or whatever. Can you talk a little bit about that and like how that

29:31impacts what you're going to be tackling here at uh the like world labs? >> So that's a very good question. So if you look at for example all the uh progressions of robotic applications in the real environments it has always followed the trend from going from fully structured environments into semiructured environments and then into unstructured environments. >> For fully structured environments what do we mean that you have knowledge and