[stefan8r]

Might be a bit of a misunderstanding here. We’re not providing a sim world for you to do ML training on. Caladan would actually be a pretty terrible tool for that - it’s a static low-res environment without any other agents.

In Caladan we’re giving you a whole autonomous robot (in sim) that you can order around via a simple API.

In our use case the 5-10% that I’m talking about is really hard, but most teams / projects run out of funding before they get to that point (because making the robot, and making it autonomous, is so time and cost intensive it dominates the project).

[stefan8r]

To double click on the Twilio API example:

In most robotics applications teams are building the equivalent of new speculative phone networks, building specialized infrastructure, acquiring specialized hardware companies to ease computer:phone connections, and running out of money before they can find product market fit for mass texting some sort of consumer.

Sure, they can still integrate Twilio poorly and fail. Or they can build a use case that no one cares about - but at least they won’t need 5 years to get to that point.