So walk us through kind of what ASUS does day-to-day for people who don't know much about clinical trial budgeting.

Yeah, so for ASUS, this software essentially helps build the budget, but also tracks the budget once it's built.

So usually how it happens is that we have an individual called a coverage analyst.

They usually look at a protocol, and a protocol is basically the entire instruction manual on how a study should be run for a clinical trial.

So for example, if you have a particular drug for looking at, let's say cancer, and you want to have this drug be approved by the FDA, you have to do a clinical trial.

So you have to write a protocol that has a study design, has background information that tells you why this particular treatment is important.

And then it also has instructions on how this trial specifically would be handled.

So what changed kind of operationally as you scaled past it, you know, just you being the person who were building it?

So can you talk about maybe a little bit more on what that means and why it's important, and with that, how it differs from traditional sort of certification or certificate or kind of checkbox, if you will, focused preparation?

Great question.

So for me, skills-based competency learning, and I can give a great example.

So if we're discussing back to the clinical research coordinator aspect, 'cause clinical research coordinators are one of the biggest gaps that's rising.

We-- for every three trials, we only have one coordinator, right? And it's becoming more and more of a resourcing issue.

There is another company starting every day with a new pipeline and a new treatment going to sites, and they really need to work with these sites, and some sites don't have the capacity, nor do they have the resourcing.

And if they do have the resourcing, the resources are not necessarily fully experienced in the roles, right? So for clinical research coordinators, me starting off as a clinical research coordinator, it's the role where I was introduced into the indust-industry and forever grateful for that because I love this industry, and I think that it's phenomenal.

What workforce gaps are, in your experience, affecting trial quality or timelines or, or I guess maybe overall performance at the site level?