SaiFin founder Mohit Aron comes out of stealth with $44M to solve the 'context gap' for enterprise go-to-market teams

Speaker 2: coming out of stealth

Speaker 1: live Finally. At the end. How are Here he is. Welcome to the show.

Speaker 2: Hey. Thank you for having me here. Thanks so much for hopping on. I would love to start with a little bit of your background. This is, your latest company, but not your first. Can you give us the, the career highlights thus far?

Speaker 9: Yeah, absolutely. You know, my last company was called Cohesity, and the one before that was called Nutanix. So I'm the founder of two previous companies. Both of them fortunately are doing north of a billion dollars in ARR. The first company is ready public. Yeah. And and this one is, Cohesity

Speaker 1: is yet to go public. So what's So you had a tough time raising for your company, I'm assuming. Sure. Was a quick Really? Yeah. You really had to, you know, do all the laps up and down Sandhill. Yeah. Scrape scrape together pennies to get this done, I'm sure.

Speaker 2: No. The round came together, I'm sure, pretty smoothly. But, what were you laying out? I imagine it was like, I'm I've I've gotten to a billion of ARR twice. Here's the plan to get to a billion of ARR really, really quickly. What what is the plan? What was the pitch? Yeah. The pitch was that, look, in my first company,

Speaker 9: I brought together our converged infrastructure.

Speaker 2: Yeah.

Speaker 9: In the second company, I converged data. Mhmm. I'm here to converge context for go to market team. Okay.

Speaker 1: Somebody had to do it. They had to do it. I

Speaker 2: imagine with the connections that you've built through your previous companies, you can you can start up market with your go to market. Is that the plan? Are you are you thinking work with bigger companies, bigger deals? Or do you still want to scratch the the bottoms up itch, the the the smaller, more agile, early adopter crowd? What what's the go to market here?

Speaker 9: You know, I I'm very passionate about serving customers. I think the problem is all over the stack, both small companies and big ones. My sweet point is obvious obviously going to be the, the big enterprise,

Speaker 2: but I don't want to leave the smaller companies behind. So it's going to be all of them. How do you think about the the actual value that the product will bring to these teams? Because there's been there was a little mini boom cycle for, like, AI SDRs, which feels of people were saying, hey, it's way too early to let an AI, any AI, even if you're wrapping a Frontier model, I don't want it emailing my customers who I might have been golfing with this weekend and you don't have that context. And so I don't want you embarrassing me, but it feels like that's where we're going. How do you see the the the process developing over time?

Speaker 9: Yeah. The I focus on the problem. Yeah. And the problem is something that we describe as the context gap. And I've seen this problem, you know, running my previous two companies, even pre AI. Right. We execute our go to market operations without enough context. Sure. The context is all over the place. It's sitting in multiple tools, people's heads, and it's not even accurate. It doesn't reflect reality. Mhmm. And we are trying to make decisions without it. Right? And the way we try to do stuff is we maybe do a lot of meetings. Yeah. 80% of the time spent in meetings is to gather the context, not change the news. Right? Gather the news, not change the news. And so this is a unique opportunity, especially with AI, to actually solve that problem.

Speaker 2: How much yeah. I because I feel like if if if you were able to create an eight an eighth day in the week and sit down the whole team and say, everyone dump everything into some voice notes and some some shared text files. The frontier models can summarize and put all of that together. But it's really a data acquisition problem. And so how much of this is about enabling teams to do change management to the way things work versus autonomously going and gathering data both? What what's the actual solution?

Speaker 9: Yeah. The actual solution is all of that. So, automatically gathering the data Mhmm. Making sure that humans are in the loop so that AI is not just hallucinating and, you know, putting garbage. It is also in helping people in real time,

Speaker 1: real time coaching and stuff, where they can ask any question or know anything they want from the context. So Yeah. The solution includes all of that. Well, it's oh, sorry. Go ahead. Please. Key lesson from the first company that you brought to the second company, and then key lesson from the second company that you're bringing to this company. Key

Speaker 9: lesson from the, actually both my companies, would say, is it's all about the people. It's all about the people inside the company. It's all about the the people outside the company, which is our customers. And so you focus on that and the right things will happen.

Speaker 2: Bearish on AI. It's your third company, but it's your first Gong hit here on TVPN. How much did you raise? I think it will be the last. How much did you raise?

Speaker 9: How much did I raise? $44,000,000. Oh. Well,

Speaker 2: thank you so much for coming on the show and breaking it down for us. Let's do it again soon. Great to meet I'm sure there'll be many milestones. We'll talk to you soon. Thank you. Cheers. Thank you. Have a good rest of your day. Let me tell everyone about Figma. Agents meet the canvas. Your AI agents can now create and modify your Figma files with design system context. You don't get a lot of CEOs, lot of a lot of successful founders that say, you know what? It's really it's it's not about the people at all. It's it's actually just the code. It's just the AI. It's just the AI agents. That's all that matters. No. It, of course, is the people. Well And we have a great person next. Often, the best advice