What are you seeing from your side of things on the ability to empower patients to make better decisions and be more accountable for their own health?

It's almost like our mission statement, right? So I'm glad

you brought that up.

You know, people... don't make

choices because they don't wanna be healthy.

Some things that are hard for people It may have to do with not fully understanding why there is a better choice that they could make.

We have to educate people.

But those two things come up regularly for us.

I'd be curious, five days ago, it seems like OpenAI kind of validated your entire model i mean they they launched gpt health um any take on on what that's going to mean for maybe for your company do you see them now as like a direct competitor i haven't dove into what what gpt's health is i know it connects to your your apple watch and then it also like i think you can connect your medical records to it what's your take on that

you know there are so many thoughts around it so first of all i'm of course a fan of any solution that is built to try and help people, uh, live healthier lives, uh, you know, help them, you know, maybe do some, some triaging self-diagnosis, maybe, um, you know, get some recommendations, you know, knowledge is, is important.

And as long as you have the proper guardrails and you recognize, you know, some of the, uh, The consequences, the bad consequences, if you're not applying those guardrails when you're developing software and products, you're mainly focused on the mission of doing good and certainly doing good but no harm.

When it comes to OpenAI, I think Their big contribution, of course, to the ecosystem is that some of their large language models are making it a little easier for people to find knowledge and to apply that knowledge to their own personal context.

If you take it for what it is and you can provide some data, consumers bring their own data to some of these facilities, then you can get help analyzing that data and get some suggestions on where to go and what to do.

I think that, generally speaking, is helpful.

Of course, there are plenty of examples out there of how some of these tools have the opposite impact, where people aren't using this but not considering some of the shortcomings or some of the risks using these tools.

So I kind of with Lyrio, you know, how do you how have you arranged your tech stack, which is to say, you know, are you using frontier models? Are you using open source local models? And then kind of what is the guardrails that you put on the product that you're using?