product then?

It's like a fundamental rethinking, which I think is reflective of how other vendors are going to work with companies in the future, where it's like historically we all had to get dashboards and reports and analytics.

In our world, those things are called flags and keywords, right? And users of software had to essentially translate that into what it meant for them, what's meaningful for them.

We're going and reverse engineering that process.

We're saying, give us a policy first.

We'll use AI, humans in the same workflow to screen against your policy and only escalate for review candidates that have risks you need to know about.

So instead of you having to take our reports and filter through them and figure out where the signal is, we just start with your policy, policy-based screening.

Hey!

I was

going to throw in my AirPods if so.

But yeah, you know, so when we started Fama, right, 2015, I mean, I posted on LinkedIn sort of a drawing from a notebook of like putting the UI together early on, right? And so when we started the social media category, There was vendors in the space, there were a few, but they were like teams of analysts that would manually media account for this kind of like fixed rubric of risk that they came up with right and so when we took more of a you know my background as we talked about before is in enterprise software and and you know working really with within the cloud with enterprise clients on a range of different solution types um and so we took more of a a design thinking approach to building the product so long way long way of answering your question i think like a journey of how we got there is useful but we had to come up with like the ui right we had to come up with not just the ui but the fundamental usability concepts, paradigms, and principles.

And so for those of you that know Fama, we basically offer this set of generalized flags and keywords.

Flags being things like cannabis, intolerance, threats, harassment, violence, things that typically mapped towards what employers cared about when they were going through the pre-employment screening process, but giving employers the option to turn certain flags on or off right so if you were in california or on that you might turn cannabis off as a screening criteria right uh you might uh leave that on if you're in uh you know the united kingdom for example right and so you know we gave customers the flexibility to kind of configure what they wanted to screen for we gave them keywords right so let's say i wanted to see how people were of employers kind of filtering through what I would describe as like generalized definitions of flags and keywords and comparing it to a policy that they created, right? And that's very similar to how software companies have existed forever, right? The user takes the output from the vendor, from the product, whether it's an analytic, a report in our case, a dashboard, an insight, right? They act as the orchestration kind of translation layer between the output from the vendor and the desired outcome in our world brand safe, culture safe, reduce risk in the workforce candidates, right? That's what we do.

That's our value prop, right? And so to customers, it was often this question of like, all right, well, we have to have a definition of intolerance that works for a big social media company like ByteDance and a really conservative bank you know that we work with the global bank a hospital system uh in new york or you know louisiana uh and same way with like a uh you know uh Saudi oil company or something like that.

So you have to have these general definitions of risk.

Is that how it works? Is that the flow? Can you take us through step by step? Yeah,