The Exchanges

Q So, Is there something about bringing the whole operation in that gives you an advantage because I'm thinking about like, all right, let's say you're the CRO. Well, why am I now in Snowfire and not in Salesforce?

A Yeah. Okay. So first and foremost, um, every single customer that has come to us so far has given us their sales data and 90% of them are Salesforce and they're very frustrated with the intelligence that they get out of that system. It does happen to be the system of record. It does happen to be a very meaningful input device in the business, but to be able to surface information from that siloed data source has been hard for them. They would like to forego that altogether and to combine it with Google Analytics, all your social network data, all of your overall website traffic analytic data, maybe GA four, uh, combined with like HubSpot combined with your intent data. That's the intelligence that the CROs that are partnering with us want to see, that the CEOs are investing in that entire stack of growth. They want to see that harnessed. Those are the minds that are coming to us.

AI assessment note: “to be able to surface information from that siloed data source has been hard”

Q Okay. And then, so what is a CEO looking at inside the platform when they're making choices?

A Yeah, there's three ways to consume information in our platform. The first one is in what we call the research AI, and that's where you Typically see most people comfortable. It's an interrogation center, a prompting center. You can ask any question, but it also has an entire library of all of the metrics available. So as you send a new data source, every 24 hours the AI calculates that and adds all of that metric library into the entire experience. We call that the large metric model. We haven't heard anybody say that yet. That one's ours. So this large metric model is where you start from. And then you start to favorite and star and tune and then provide feedback loops where the AI picks up on these preferences and starts to build around that. Then it moves up into heat maps and you have business units. So let's say you have finance, sales, marketing, ops, customer success. All of these different business units are automatically heat scored as well. And then the final layer is the very top, which is that there are so many things to action on. How do we prioritize those? And the AI starts to sort and filter and give you what's most important to decide today. Alex, I think our goal here is that you get your coffee in the morning and you get your snow fire and you program your day.

AI assessment note: “there's three ways to consume information in our platform. The first one is”

Q Yeah, well, anyway, I used to not be afraid of these AIs, and now more and more, I'm like, uh, there's some fear here. So by the way, what do you think about a CEO's job? Because it does change the CEO's job as well.

A I think they're the biggest benefactors in this new age. Yeah. Being a CEO is, uh, it's exhausting. You wake up every morning and your best part of you is trying to solve a problem. The best CEOs that I know, they don't go to work and they're like, oh, I'm gonna build this today, or I'm gonna, uh, I'm gonna dream this up today. No, the best CEOs that I know that are running the best companies, they just fix problems. And so, what I think is gonna be cool about what we're doing is, and maybe this is a little selfishness talking here, is I wanna have something tell me what problems I should be focusing on every morning.

AI assessment note: “I think they're the biggest benefactors in this new age.”

Q So what sort of decisions are executives making that you think your platform or Generative AI in particular can help them with?

A Yeah, it's the complex ones. So when you look at the kind of data that we ingest, we ingest data from inside your business. So when you look at all of the metrics that an executive Mainly a CEO, a CFO, a CRO. Those executives have to be looking at metrics a lot. So we surf this surface those in real time and we allow that executive to harness that data and to use AI to contextualize that data in a meaningful way that they can use to make a decision on the business. Are we going left or are we going right? What do we have to fix? And we call that heat mapping. And so the AI does that automatically. So you load data, It performs all the calculations in less than 24 hours, gives you all the metrics, and then we score that for heat, and then we basically give you what's called a signal. And that signal is a contextualized set of data to take an action from. So this could be a financial decision, a personnel decision, it could be a business decision, a strategy decision. All of these things can be done inside of our system. But here's the kicker. We also are pulling in data from the outside world, things like your competitors, Your suppliers, your partners, your customers, and the technology that you're using, and so those things can also influence the business in a massive way. So when we combine this, it's internal signals, external signals, all personalized around that executive.

AI assessment note: “financial decision, a personnel decision, it could be a business decision, a strategy decision”

Q Okay, so just make up a fake user. What could they be looking at that's deemed good, bad, and okay?

A Yeah, so let me tell you what I got. I got one this morning for Snowfire. We run Snowfire using Snowfire. So our web traffic has gone through the roof since we've launched, and one of the things that we're looking at now is daily average users and returning users, or session duration, Or particular parts of the system that people are clicking on. So I was looking at some product metrics this morning, and it's signaling to me that our daily average use is going way through the roof, but that the sessions are going longer. So now the next question I have is, how do we keep that going? How do we keep people in the system, getting them more and more data? So me as the CEO of Snowfire, I got a product analytic because we're a product company, and it tells me data is looking good, Here's how you should preserve it. I could assign some of that to our chief product officer and make sure that they are taking that particular decision and keeping it healthy, keeping that metric of daily average users healthy.

AI assessment note: “it tells me data is looking good, Here's how you should preserve it.”

Q So I've got a chance to take a look at your software and we're going to talk about what it does for a business and how it allows them to make deeper decisions about their Operations and basically their broader business completely. But you said that when you worked in cyber, you saw CEOs using data to make decisions. So what type of decisions would you see them make?

A Some of the best executives on the planet are highly intuitive and their, their gut and their feeling, the intuition, the instinct is a part of their general experience that they bring to the table to make really smart decisions. And Some of the best executives on the planet are highly intuitive, and their, their gut and their feeling, the intuition, the instinct is a part of their general experience that they bring to the table to make really smart decisions, and now with what we have built, you're able to pair that intuition with an incredible logic analysis and processing engine, that of AI, and that intuition when paired with AI now for the logic and processing at scale, at speed of, of business, Now you have these superhuman executives, and that's what we're really setting out to try and try and do.

AI assessment note: “now with what we have built, you're able to pair that intuition”