How do you manage the fact that you all have everyone from Target, I believe, to UL Solutions, to insurance providers? That's an interesting dynamic and an interesting threesome, not meant to be a loaded statement there.

Yeah, the founding cohort... was really to test a bit of, can we bring these three voices together, all pointed towards this North Star of a high-quality, independent AI assurance ecosystem, recognizing that we have intentionally chosen this AI assurance ecosystem as a very broad term.

It goes all the way from AI hardware verification through the multitude of applications and use cases.

Path AI is not going to be able to solve for all of those things.

But to our earlier point, there are some things that actually fall neatly for what everybody is looking for.

One is we need better data coming out on understanding what these systems are, whether you are an enterprise that is putting these products to use and understanding what they're doing, whether you're an insurance provider, that's really the work you're doing is providing the data to say what's happening here.

And particularly for the insurers, they are looking at what is our data that we can actually start to build our products from that we can start to underwrite from.

How do you avoid a sort of capture scenario of PACT? What's that look like in terms of internal governance such that the consensus that Rob was talking about really is a consensus and not just catering to the lowest common denominator?