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Khosla-Backed AI Startup Debuts with $80 Million in Funding
Bloomberg
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13 hours ago
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00:00
David, I would love to start with you. You're trying to tackle the concept that you have labeled
00:05
the Franken-stack. Even though the term is new to me, the concept is something that's been
00:12
discussed on this program a lot. Just explain what Revo wants to achieve here.
00:17
Sure. Well, first off, thanks for having me. It's a big day for us.
00:21
Look, AI is the biggest shift in enterprise software since the cloud.
00:25
But the reality is revenue teams are still stuck in, like you said, what we call the Franken-stack,
00:29
which is a dozen different tools that don't really talk to each other, causing sellers to
00:34
waste over 70% of their time wrangling software instead of talking to their customers. And that's
00:39
really painful. Revo is looking to fix that via one unified revenue operating system built from the
00:46
ground up with AI at its core. And with this 80 million raise, we're scaling quickly to help all
00:51
companies win in the age of AI. Vinod, I was talking with my team this morning about the structure of
00:58
this round. And so it's basically a combined seed and series A. And Revo is coming out and kind of
01:04
announcing itself to the world. Would you kind of give us the backstory? You know, you are an
01:09
experienced investor in the world of technology. When this crossed your desk, how did you know that
01:15
you needed to get involved? And how did you determine at this very early stage the potential that Revo had?
01:22
Well, the opportunity didn't actually cross our desk in a traditional way. We've known David for a long
01:31
time, from DoorDash to OpenDoor to OpenStore, sorry. And now Revo, we've been incubating ventures with
01:40
him. My partner Samir has worked closely with him on Revo. And we cooked up the concept and brainstormed it and
01:50
thought it was important enough to do. In the age of AI, I think most applications and application stacks need to be
01:58
rethought. And this is David just a superstar on to know. So it was pretty easy.
02:04
Vinod, is this an example of you investing in the known quantity founder then, rather than the idea?
02:15
Absolutely. When we invested, the idea wasn't clear. That was a year and a half or two years ago. But the founder was very clear.
02:25
David, I'm trying to track the growth that you've had. So spring of 2024, you kind of come up with the idea, I guess,
02:35
incorporate a business. And you've hired, I guess, aggressively, you know, you're a sub 100 people still, but you've
02:42
basically gone to companies that are well known globally, not just here in the Valley, and taken the best people you
02:48
can. What was that like?
02:51
Well, yeah, that's, that's, you're spot on there. The company you build, taking a page out of Vinod's book, but the company you
02:59
build is a, the team you build is a company you build, not the plans you make. And when we thought about tackling the space of
03:05
unifying all of go to market tech in one system, expanding marketing, sales and success, we really needed to make sure that we had the
03:13
talent density, both from a technical perspective, but also from a go to market to really bring together the combination of the
03:20
depth of domain knowledge, plus the ability to access the first party data to really pull this vision off. So global talent is
03:28
necessary for us to make this a reality.
03:32
David, what else do you need the $80 million for?
03:34
Yeah, well, it's over the next few months and quarters and years, our vision is clear, we need to continue accelerating our
03:46
product roadmap to build out both the breadth of the surface area to serve our customers, but also making sure that every
03:53
single capability is the best possible from a depth perspective. But more importantly, in the age of AI, context
04:00
matters. And it's very important for us to double down on making sure that our AI operating system is able to work
04:06
seamlessly across every single one of these modules, capabilities, jobs to be done. So we're not replicating another
04:13
Frankenstack for the future world. So that's what we're going to use the proceeds to do.
04:20
Vinod, I go back to you with the concept of the Frankenstack. You know, you're invested everywhere. One of the first checks
04:28
into open AI, the world has changed a lot since then. You know, we had yesterday, Sridhar from Snowflake on the
04:36
program, talking about the problems right now and in the data layer. What do you make of the Frankenstack? Is that a
04:43
real thing? Or this is just a marketing opportunity around this round?
04:47
No, I think it's a real thing. Of course, AI enables each startup to do a lot more than it could do.
04:53
20 engineers can do the work of 60 engineers if you use the productivity tools AI enables.
05:00
But more than that, the user experience can be dramatically different with the help of AI.
05:07
As I like to say, in the old world of applications, users had to learn an application and they learned
05:14
each vertical stack. In the new world of AI, the application learns the human and responds the way it's
05:21
shared. It's my favorite way to think about the transition AI makes possible. You don't have to
05:27
be trained on an application like SAP or Hubstack. The application gets to know you and other humans
05:35
on your team. And so it facilitates not only the function, but also workflow across people and
05:43
across applications. I think it's a pretty important shift in software.
05:48
To both of you, I'd like to end the conversation by going a little bit bigger on the world that we're
05:55
in right now. David, if you could reflect on what it was like doing this round, there is a lot of
06:01
energy behind AI right now. But at the other end of the spectrum, there is valuation concern.
06:07
There's no difficulty in OpenAI or Anthropic, those kinds of frontier labs gaining capital.
06:13
But there is a lot going on right now. Would you just reflect on what the last few weeks has been
06:17
like in trying to close this? Well, you know, the fundamental difference is clear with our
06:23
approach. We are AI native and purpose built for revenue teams. And so, you know, when you talk about
06:29
the old players that are trying to build AI onto legacy stack, it just doesn't work. What we're
06:34
building with Revo is akin to how Tesla built its cars, vertically integrated with AI at its core.
06:40
This way, our AI is able to see and act across the full customer journey. So the old players are
06:49
held back by their past. And the new players, to your point, you know, don't have the depth of domain
06:54
knowledge, nor the access to the full suite of first-party data to pull this vision off.
06:59
So Revo is building with both. And yes, it's hard, but that's really what makes it defensible and worth
07:04
doing. You know, you're co-leading this round with your friends at Kleiner Perkins. Again,
07:11
the same question, like what does the environment look like to you right now? This is a very sizable
07:16
debut round. You had the conviction to do that. Well, it was a while ago we did the seed round of
07:25
10 million. That wasn't announced. And now we just participated in the $70 million round.
07:30
Obviously, we think highly of the team. But I think it's the magnitude of the opportunity this opens up
07:38
for AI-native companies. I'd like to say most valuations won't hold up in the AI space, but the ones
07:46
that are really high-quality companies will return disproportionate returns. In 2018, people said to me
07:55
a billion-dollar valuation for OpenAI was too high. Then they said $26 billion was too high, and then $100 billion,
08:03
then $300 billion, and then $500 billion were all too high. So a small percentage of the companies, I suspect
08:11
much less than 5%, will actually do extremely well and return 10, 50, 100 times their money invested.
08:21
Most companies will still lose money, and I think that's why you want to back quality founders like
08:28
David. David's a superstar. I'd back him in almost anything he did.
08:32
David's a superstar. I'd like to recognize that, but to the parties above being achieved just make everybody
08:35
a great才能.
08:36
David's a superstar.
08:37
David's a superstar.
08:37
David's a superstar.
08:38
Valeriansplementy
08:39
a superstar.
08:40
David's a superstar.
08:42
David's a superstar.
08:45
David's a Kanal serum going on to reassemble the Commissary
08:45
astounding.
08:49
David's a superstar.
08:50
David's brightness
08:52
a superstar.
08:53
David's a superstar.
08:56
David's a superstar.
08:59
David's a superstar.
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