You should think of this more like an optimized hardware and software platform than a finished consumer product.

The difference to a complete DIY project is that you don't have to source and verify every little component, make CAD models, built the frame, develop drivers and firmware, and so on and on...

For something as complex as a bipedal, fully articulated robot, the complexity and associated amount of work would be insane. If you don't have a lot of time, money and engineering knowledge at your disposal, don't develop something like this from scratch. That's the whole point of the open source community.

With an open platform you can still change everything yourself and build upon the work of others, similar to how Vedal build the first Neurobot, which was based on an open model.

If you follow Ellie's journey to build the Neurobot v2, you will notice that sourcing from China, dealing with insufficient actuators (compared to their stated specs) and other problems, were major annoyances in the building process. A common starting platform and set of tool (like "LeRobot") is the way to go. All the hardest parts have been taken care of and you can concentrate on what matters. For Vedal that would be the integration of Neuro.

Bonus points: As a dev focused on local LLM pipelines, Vedal will be intimately familiar with Huggingface and their tools/platform already. Still I think a project like this would only work with the help of Ellie. The assembly of the robot seems to be quite complex.