In short
Roundtable on the “deep tech gold rush” and whether it’s a smart boom or a future bust, covering how deep tech is defined, why capital is surging, and how concentration, consensus investing, and AI-driven hype may distort venture outcomes.
Guests (deep tech investors)
- Nate Williams (Union Labs): invests in technical, hard-to-build companies; emphasizes matching Series A/B capital to founder/portfolio needs. Mentions Trustpoint AI (construction risk decisioning) and Urban Sky (micro-balloon tech).
- Sunil Nagaraj (Ubiquity VC): focuses on early-stage deep tech; warns about overhype and “nuclear winter” if the pendulum swings too far.
- Guy Perelmuter (Grids Capital): highlights specialty moats (hard tech plus hard distribution, e.g., government procurement) and risks of capital concentration.
Key claims
- Deep tech = hardcore, hard-to-build, hard-to-replicate technical capability (not just hardware or apps).
- Drivers: faster technical maturation, cheaper compute/sensors, AI as a “killer app,” plus government/defense tailwinds and LP reallocation away from SaaS.
- Capital is concentrating in a few hyperscale winners (SpaceX, Anthropic, OpenAI, Anduril), creating power-law outcomes and potential backlash.
Notable examples
SpaceX, Cerebras, Oracle/MySQL/Aurora as maturation analogies; “physical AI”; Anthropic’s large inbound interest; Viva as an anti-consensus timing example; historical VR/blockchain hype cycles.
Written by AI. May contain mistakes. Listen to the episode to check what was said.
Chapters
Tap a time to open that second in VODefining Deep Tech
1:01 to 2:18
Discussion on the evolving definition of deep tech and its significance today.
“Samir Khadji is the CEO and co-founder of Allocate.”
Characteristics of Deep Tech
2:18 to 4:52
Exploration of what constitutes deep tech and its associated challenges.
“And I think a good place to start because we're going to pull on each one of those threads independently.”
Shifts in Investor Sentiment
4:52 to 6:14
Analysis of changing investor perspectives towards deep tech and its potential.
“and that was some of the reticence previously to this bull rush we're in right now in deep tech.”
Drivers of Deep Tech Investment
6:14 to 11:40
Examination of factors driving interest in deep tech, including economic shifts.
“Again, these companies are ones where not every average person could launch a company that requires some technical depth.”
Sustainability of Current Trends
11:40 to 14:00
Discussion on whether the current investment surge in deep tech is sustainable.
“So as this happened, it became easier to go from only universities or government labs developing cutting-edge technology into the private sector.”
The Future of Deep Tech and AI
14:00 to 17:45
Exploring the rapid evolution of deep tech companies and their future potential.
“There's N of 1 is Anthropic, N of 1 is SpaceX, is Andrel.”
Investment Patterns and Market Dynamics
17:45 to 22:29
Analyzing the fluctuating investor sentiment and its impact on capital allocation.
“Well, there's a circular reference here that I think is super important.”
Navigating the Landscape of Exits and Returns
22:29 to 28:00
Discussing the challenges and opportunities for venture capital returns in the current market.
“There's animal spirits that come into play.”
Understanding Fund Dynamics in Current Markets
28:00 to 29:11
Explore how fund sizes and market conditions impact venture capital strategies.
“While if I had a$5 million exit today, you could convince yourself that doesn't matter.”
The Evolution of Venture Capital Firms
29:11 to 30:28
Discuss the changes in the venture capital landscape and the implications for future investments.
“get lucky and you get one of those 50 billion, 100 billion or even more.”
Show all 20 chapters
Impact of Celebrity and Pop Culture on Venture Capital
30:28 to 31:49
Analyze the influence of celebrity involvement and pop culture trends in venture capital.
“Look, several of us on the call have founded companies, right?”
Navigating Consensus and Non-Consensus in Investing
31:49 to 34:06
Delve into the balance between consensus and non-consensus approaches in venture investments.
“Like we've got the Hollywood vibes in venture capital and we've got celebrities investing and we've got like triple layer SPVs.”
The Challenge of Identifying High-Value Opportunities
34:06 to 35:39
Learn about the difficulties in identifying valuable companies amid market hype.
“I think you can be consensus and right and still do well in certain cases.”
Defining Consensus in Today's Investment Landscape
35:39 to 37:59
Examine how definitions of consensus are changing and affecting investment decisions.
“raise the billions of dollars necessary to keep that going.”
Adapting Investment Strategies to Market Trends
37:59 to 42:00
Discover how investors can adapt their strategies in response to evolving market conditions.
“And it actually sparked a couple of things in my head that I'd like to ask you guys about.”
The Role of Investors in Deep Tech
42:00 to 44:40
Learn how investors navigate the deep tech landscape and identify opportunities.
“derive a couple of learnings from Hollywood, which is the best people in Hollywood think of the George Lucas's of the world and the Clive Davis, they always reinvent themselves.”
Changing Dynamics of Venture Capital
44:40 to 46:40
Discover how the power balance in venture capital is shifting towards founders.
“Calling in closing like director of engineering when he's already had Google, right?”
Misconceptions in Venture Capital
46:40 to 49:30
Explore common myths about venture capitalists and their influence on company success.
“I think the other thing you probably have to think about is who are the ones with the right aligned incentives with the company?”
Distribution vs. Technology in Success
49:30 to 51:40
Understand why distribution may outweigh technology in determining startup success.
“These are multiple currents that were trending towards a single point, a convergence of factors.”
AI's Impact on Venture Capital Jobs
51:40 to 53:00
Analyze the potential effects of AI on venture capital roles and responsibilities.
“The problem is the world is so different now.”
Transcript
Automatic transcript. May contain errors.0:09Sunil Nagaraj:Welcome back to another episode of Venture Lock, the podcast that takes you behind the scenes of the business of venture capital. In today's episode, I'm joined by three deep tech investors and friends of the show. Nate Williams from Union Labs, Sunil Nagaraj from Ubiquity VC, and Guy Perelmuter from Grids Capital for a roundtable on the state of deep tech and the changing venture landscape. This podcast was inspired by a conversation that four of us had at the Allocate Beyond Summit. And during that, we wanted to go deeper into what does deep tech mean today? Why is it suddenly attracting so much capital?
0:41Sunil Nagaraj:And how economics, government tailwinds, and AI have pulled these once niche technologies into the mainstream. We also explored the growing concentration of capital in a handful of hyperscale winners, the tension between consensus and non-consensus investing, and what all this means today for emerging managers, LPs, and founders. We really hope you enjoy our episode.
1:03Nate Williams:Samir Khadji is the CEO and co-founder of Allocate. Allocate and Venture Unlocked are independent of each other. Any statements or references made by Samir or his guests regarding third-party investments or securities are solely their views and opinions and are not intended as investment advice or an endorsement of such parties or securities by Samir, his guests, or Allocate. Allocate or its clients may maintain relationships with or investment positions in guests, third parties, or securities mentioned in this podcast. This podcast is for informational purposes only and should not be relied upon as a basis for investment decisions.
1:42Sunil Nagaraj:Guys, it's great seeing you all. And this episode actually was a follow-on to a conversation the four of us had back at the Beyond Summit. And we were talking about, post the summit, all the things we were thinking about, all the conversations. and a lot of threads got pulled from there. The deep tech, where's deep tech today, which all of you are deep tech investors. The second was around the concept of how concentrated capital is becoming, both at the fund level and then also with companies. And we were just all thinking through, is this like a moment in time? Is this a good proxy for what's going to happen in the future?
2:21Sunil Nagaraj:And I think a good place to start because we're going to pull on each one of those threads independently. But the first thing is, deep tech is something that we've all talked about and thought about for a very long time. And it seems like it's having a bit of a renaissance moment with a lot of capital. I think I mentioned this, but a third of the capital over the last year has gone into what I would consider deep tech. Now, for all the people listening, how do you guys even define deep tech today? Because I think it's expanded in meaning.
2:50Guy Perelmuter:Great to be here. Great to see you guys, as always. I would say that the key definition of deep tech has to do with technical prowess, boats, deep engineering skills, and a very unique set of capabilities that will create some edge into a specific field. So the way I like to exemplify what is deep tech versus what is not deep tech, if you are having a dinner conversation, right, and you overhear a pitch for a startup and you figure, yeah, I could build that, probably not deep tech. But if you overhear a pitch and you say, wow, that's very cool, and I don't have the technical chops to build that, I think I would need a doctorate or a postdoctorate, that's probably deep tech.
3:48Guy Perelmuter:So that's my empirical way of defining deep tech.
3:51Samir Kaji:I'll take a shot. Effectively, my career post-grad school last 20 years has been deep tech. It used to be called Internet of Things. Before it was called connected hardware. It was called semiconductors. I think the classical definition that we use for hard tech, deep tech is similar to what Guy mentioned. First, it has to contain hardcore technology. So white leather sneakers, that's not hardcore technology. A dating app, not necessarily hardcore technology. So hardcore technology. Second is it's hard to build. So Cerebus just went public after 10 years. Like taping out a chip is extremely hard.
4:29Samir Kaji:That's hard to do. And by the way, I was reading the SpaceX prospectus on the plane here to Philly. If you do it right, it's hard to replicate. So it's hardcore technology, hard to build, hard to replicate. And this is a thing, Samir, you and I have talked about offline, which is it may involve hardware. For the past 10 years, many VCs have conflated deep tech with hardware. and that was some of the reticence previously to this bull rush we're in right now in deep tech. They just didn't want to do hardware. But if you call it physical AI, let me tell you, there's a whole bunch of Sandhill firms that want to do physical AI.
5:08Sunil Nagaraj:I was having a conversation with somebody else actually at the summit a couple weeks ago, and it was somebody at Lux. And Lux has made its name as one of the top investors at the intersection of, let's call it science and technology, of investing in some great companies, whether it's the andurals of the world, some bio companies, and they've done really well. And in the past, the difficulty they had with LPs was LPs said, okay, well, deep tech is this thing where you're just investing these science projects that could take five, seven, 10, you mentioned Cerebris just now, before you even know it's working.
5:44Sunil Nagaraj:And in many cases, they don't work because of the technical challenges on top of the commercial challenges. But now it seems like the narrative is starting to shift. People like Lux, DCVC, folks like Playground Global, and we can name many other firms that have Eclipse that is now getting the tailwinds. But what is driving these tailwinds? Sunil, maybe you have a sense of like, why are people now so excited about investing in these companies?
6:12Nate Williams:Yeah, it's a really good question. Again, these companies are ones where not every average person could launch a company that requires some technical depth. I'm a little mixed on why, how pure the motivations are for this rush into deep tech, which I think all of us would consider our area to invest in, but also protect, steward, nurture to continue on a strong path. We don't want the pendulum to swing too fast and we have overhype and then a nuclear winter. We also want to make sure that we have co-investors and follow-on capital in the sector. So there's kind of a delicate space for this pendulum.
6:44Nate Williams:And so I think there are two or three drivers that come to mind. One is, I'm using this noble word, pure. I'm going to keep running it until somebody slaps my wrist. But I think the pure reason is that these technologies have started to come into the fold where something that might have been 15 years, it might work, is now like seven years, it probably will work. And then three years, it definitely will work. And the same thing happened with databases, right? Like as Oracle, MySQL,$0 in 10 minutes, you can spin up a MySQL server or Aurora on Amazon or something like that. So these technologies come in and in.
7:15Nate Williams:And so as more of them have come in, whether it's 3D printing, whether it's having all source design manufacturers, a few different places where in my focus on software being the screen, more of the real world is now programmable, better circuit boards, Raspberry Pis, prototyping tools, FIA, like all sorts of things, like 30 different technologies have all sort of come in a little bit. Then it's more addressable and it fits with the dogmatic venture capital model of about 20 investments per fund, one or two pay off, and that pays off all the rest of the portfolio. And that's not possible. And to do so in canonically a 10-year fund, usually it's 12 or 13 years, but in that window, and that's relatively new.
7:49Nate Williams:That was not true 20 years ago, and it's kind of true today. So that's a good one. I think the less pure reasons, I think, which are still maybe happening, they still may benefit the sector, is it does feel like there's a lot of excess investor interest in deep tech funds from folks who've watched on the sidelines as SpaceX has gone from being a small company to a very valuable company, as Andrel has gone from being a very small company to a very valuable company very quickly. These were companies that weren't on the SaaS mainstream investors radar and the SaaS LPs radar. And so I think there's folks thinking, huh, I wonder if something is going on there, I should start looking into it.
8:26Nate Williams:And I have many of the LPs in Ubiquiti, three funds now, I would say are deep tech curious. They want to invest, they want to have exposure off the beaten path, but not off the deep end. And that's the kind of thing that I try to focus on. So there's sort of the nerd technologies becoming a little more mature. There's kind of latent overflowing SpaceX and other interests. And then there's the current kind of administration push, Golden Dome, new government push, new defense tech push, new prime push. That's also pushing a lot of dollars into the sector as well. And again, there's lots of different definitions, but that would fall into the American resilience, America first, de-industrial, de-globalization.
9:00Nate Williams:There's another theme, but these all start to swirl around this notion of a little bit more physicality, a little bit less dating sites. And I had a dating site when we went to Silicon Valley. So I make fun of that with pride, but actually more into deeper tech stuff, I think. And I would die to hear kind of what you all think is the real driver, the most prominent driver out of those three.
9:18Samir Kaji:Something I would bring up just with a plus one to Samir and Hannah for the Beyond Summit was the fact that$3.7 trillion of capital are going to go into privates. So Samir, you said that on your keynote with Mamoun. I think that's important. But the other thing, just to be controversial, is I think many folks aren't saying it, but many do believe on the LP community that SaaS as a major banger of a thesis has kind of run its course, which is just the history of venture. If we think about social mobile local, if we think about comms networking in the late 90s, early 2000s, these thesis have a time and a place where they can coalesce a group of talented founders and capital, and then they make the slacks, the box, the drop boxes, the stripe, the data bricks, right?
10:10Samir Kaji:And then it makes way for the next. And so I think some of this is healthy. The thing that I sometimes have difficulty as an emerging manager adjusting to is, Samir, how much is venture capital changing and growing up? Like how much of that is venture capital becoming like, today's venture capital is like 20 years ago, private equity. I mean, we're going to have firms go public. How much of it is that versus how much of it is just somebody really believes now that if you have a hardcore technology product, you actually have a moat. Whereas if you just have a software product, maybe there's five engineers that can vibe code a competitor over the weekend.
10:49Samir Kaji:So I think that's where I struggle is how much of it is secular change in venture versus deep tech.
10:55Guy Perelmuter:I will kind of posit that the key driver for us to be seeing this moment right now is almost purely economical. And I'll tell you why I believe that. First autonomous car serious testing happened in the late 80s, right? The car to Guimela. First 3D printing tests, early 1970s, AI has been around, we all know, since the mid-1950s. What happened over the course of the past, let's call it 10 years, maybe 15, is that all the economics around those technologies became orders of magnitude cheaper. right? Processing power, memory, database, software programming, everything that goes into building sensors, everything that goes into the building blocks of pretty much any deep tech company that do involve hardware and software and sensors and the physical world has become cheaper.
12:04Guy Perelmuter:So as this happened, it became easier to go from only universities or government labs developing cutting-edge technology into the private sector. And what we needed in deep tech was a killer app, right? During COVID, we thought, all of us thought that the killer app was biotech, right? There was this 12 to 18-month period where everybody wanted to pile onto bio companies, and that fizzled. But it's obvious right now that a killer app is AI, right? So the world through AI said, okay, this is the moment where all those vectors converge. And in my view, the basis of this tailwind that I think is going to last for a long time, because there will be multiple derivatives of AI, is purely economical.
13:00Sunil Nagaraj:This also then comes back to, is this a transient thing or is this longer term? because right now one of the things that i'm seeing is if you look at space you look at robotics you look at ai especially the frontier labs i'm not talking about ai apps which are built on other sort of like large language models is open ai spacex and roll anthropic look at those four companies together almost what is that three and a half trillion dollars of private market cap Everybody knows these companies. In fact, they're probably the most demanded companies to try to get into. In fact, Anthropic, when the news came out, they're raising this new round of capital.
13:41Sunil Nagaraj:I can say that we were getting inbound emails from people we didn't know that said, we have 500 million, 700 million ready to wire. And it just shows you where the world is right now in investing in these high-flying growth startups. But is this sustainable? Probably not forever. ever. There's N of 1 is Anthropic, N of 1 is SpaceX, is Andrel. There's not a lot of those companies. On the other hand, we're finally getting to the point where technology adoption, along with the physical world, is there where now you can create these type of companies. And some of these companies can be created faster.
14:16Sunil Nagaraj:We're looking at a large language model, a new one, a Neolab, that's really focused on material science, right? Very interesting. And how do you take something and get it into, identify a compound, test it, simulate it, put it in a lab environment to be able to deliver things like superconductors really quickly. So how do you guys think about like the next five to 10 years? Forget about this point in time, because I think everything is at a fever pitch.
14:42Guy Perelmuter:I'll take a stab at it. I think that we are living a very similar moment in time to what happened in the late 19th century when the world was starting to electrify itself and people were laying down all the infrastructure to make sure that the world could become electric as opposed to whatever we had before that, right? Before electricity. We're not that old. So when it comes to that phase, I think all this hyperscaling data centers, all this massive, multi-billion, almost trillion-dollar type of investments we're seeing, I think it's just the foundation of this new era. And my take is that the interesting part of this story will start as we try to imagine what are the consequences of us having a newly electrified world where instead of electricity abundant and available and pretty much expanding its little paws into everything, it's AI.
15:46Guy Perelmuter:And I think we're going to see an explosion of applications in manufacturing, in health, in telecommunications, in infrastructure, in transportation. So this for me is chapter one, where we're just laying the foundations. That's why I do believe that we're talking about a handful of companies, because there are no large infrastructures in any sectors where we have multiple players. It's usually a very concentrated, high-capac, very concentrated kind of platform. But after that, I think we're in this cycle where we're going to see the derivatives of us setting this infrastructure that is driven by AI.
16:34Nate Williams:I want to agree with you as like the beautiful dream of the march of technology. But I think that the capital markets are just a little schizophrenic. I think as Nate was saying, like running away from SaaS, maybe even like three, four, five years ago, a lot of my VC friends were saying, there's no more alpha, there's no more extra return in SaaS, because there's not frameworks, all you got to do is run it through the frameworks, right? It's a mature sector scale, and like five other firms will put out the frameworks, and you do the rule of 40. And then we get hit by SaaS apocalypse. So it's a one-two punch, the capital is running.
17:02Nate Williams:and when it runs off the beaten path, it's in rarefied air and it gets scared and it chases, it gloms onto anything with traction. So for me, that's part of the consensus piece, why Anthropic and why when one company gets hot, it gets hot quickly. Why a lot of investors who are over their skis are looking for surface level proxy signals. Hey, was it the seventh author on that paper? Did they happen to work at SpaceX? These are useful signals. All of us use them, but we don't rely on them entirely. We go do our homework underneath and I'm seeing a lot of investors do no homework on top of it. So I think we are seeing the rails being put in, but we're also seeing a lot of schizophrenic capital chase the same couple deals.
17:38Nate Williams:And it's responsible for, I think, an unhealthy concentration, which will, back to my very first comment, could swing the pendulum too far. And then there ends up being a nuclear winter when a few of them collapse.
17:47Samir Kaji:Well, there's a circular reference here that I think is super important. So there is an implicit homogeneity of SaaS. So let me unpack that. If I have a SaaS tool for fintech, and then I have a SaaS tool for health tech, accounting, HR, et cetera, the throwing motion is very similar. The financial, as you mentioned, magic, rule 40, et cetera, is the same. Okay. So now I'm going to go into deep tech and I've got space, robotics, industrial, I've got healthcare, I've got bio, right the heterogeneity of deep tech is so difficult for one gp to actually cover that and so that's why we're seeing if you're gonna move from a world where a lot of things look alike and i'm not there are if i could be one tenth the investor mamoon is that would be a great career for me but what i'm saying is moving from sass over to deep tech and having to become an expert in semiconductors.
18:46Samir Kaji:NIH getting atoms from NIH to create a new compound, then turning around and getting a KUKA arm and going over to PRC or Vietnam. Those things are really difficult. And I think it just takes some time for these teams and investors to actually grow their bench. So probably the hottest spec right now, Samir, if you ask any of the headhunters, is not people in our generation. It's actually that principal who's the hot up-and-comer in deep tech because that person can go to pretty much any fund. The number of firms that I see pinging Sunil or myself or Guy about co-investing, these are people five years ago, I've done nothing but connected hardware, IoT.
19:29Samir Kaji:Nobody thinks IoT is cool. The people now that want to talk about deep tech give you an invite to a dinner is unbelievable. Nate, where I thought you were going to go with that
19:37Nate Williams:was that there's so much specialty for the different facets of deep tech. It may even imply a new VC organizational structure. Like I thought you were gonna say you can have five folks who kind of lightly overlap in SaaS and they can speak each other's language on Monday morning. But with deep tech, they're almost irrelevant to one another on Monday.
19:53Samir Kaji:I was actually gonna hit that point, but actually I was gonna say something different, which is, so what is an inherent moat in deep tech? You already have the hardcore technology, but the other one is the specialty path to distribution. So fill your boots. If you just graduated from undergrad and you're going to do a company that wants to contract with the U S government, like that is just so dang hard to understand the procurement process, the SBIR is getting to a POR. I mean, you and I do, we have investments both in the sort of stratospheric micro balloon segment, like that stuff is hard. And so I actually think the way that venture will look is like similar to any sort of scouting organization, right?
20:38Samir Kaji:So if you say, I know a bunch of us are sports nuts on this call, it's like, you have to have a scout in the southeast region, you got to have a scout up in the northwest, etc. I think that's where the job, I know I'm jumping ahead, Samir, to your comments about major firm versus minor, but I 100 % believe in the Josh Wolfe whales versus minnows. I think there will always be place for craft artisanal managers who have amazing access to founders and actually have experience as founders to help on the zero to one. Yeah, and we'll get to that point of this.
21:15Sunil Nagaraj:kind of stratification of the market, especially with the big funds getting much bigger. And you can make the very cogent argument that is not venture capital. It's just mainstream technology finance. When you're investing in a company, even like what's happening right now with Anthropic at$900 billion, that is very different than what we have considered venture capital for the last 50, 60 years. It doesn't mean that it's wrong. It doesn't mean that it's a bad thing. It's just a very different sort of product offering than what I see on the other side of the barbell, which are small kind of artisanal managers that are investing at that zero to one, which at zero to one for deep tech is very early.
21:55Nate Williams:And so I see, you know, just to make it spicy, the only wrong part of that is I don't know if you should get two and 20 when you're doing$900 billion entry valuations. That's mutual fund economics, not venture capital economics. Yeah.
22:08Sunil Nagaraj:And we could probably talk to those folks and see if they're willing to reduce. And by the way, I don't think it's 2 in 20 in many of those cases. I think it's something elevated above the 2 in 20 in terms of the actual economic rate that they're getting. However, coming back to the capital, and I think you made the point of capital markets can be very schizophrenic. There's animal spirits that come into play. And right now we're seeing a lot of risk-ons type of behavior. That can be very different from where we are, Guy. For example, what you said is, where are we in the technology adoption and how is technology going to reshape the future of the way we work, the way we live, which is almost undeniable.
22:48Sunil Nagaraj:But capital does affect it. So if the capital markets do change, that does change capital formation for these companies. But even right now, there is such a concentration. It feels like there's companies that are being king-made, getting a lot of capital. and they all feel fairly consensus in terms of somebody leaves DeepMind, somebody leaves OpenAI, somebody leaves Anthrop, they're going to raise whatever. Everyone else or somebody leaves SpaceX, for example, they're going to be able to raise. What are the trickle-down negative effects of the current concentration and consensus world we live in within venture?
Read the full transcript
23:24Guy Perelmuter:In my opinion, it's the fact that the arc of history seems very neat and clear when you have the benefit of time, right? We can very clearly see the patterns of the first industrial revolution, the second industrial revolution, the third one, because we can see that chart looking into 50 years, right? Or a hundred years. Right now, we have our screens ticking with prices every second or less than second. And we do have ample access to information and capital. So the speed and the efficiency and the nervousness with which capital moves is extreme. And that will create backlash. That will inevitably create winners and losers.
24:12Guy Perelmuter:this is going to be as an infrastructure that is going to be the base for a new economy effectively over the next few decades. There can be very few players. So I do not believe that there's space for too many LLM providers, pure LLM providers, as there's not a lot of space for global telecommunications companies or global fiber optics companies and so on and so forth. So at the end of the day, I think the negative effects are going to be that some investors are going to be burned. Some investors are going to lose a lot of money. They're going to bet on the wrong horse, if you will. And as we have seen in history time and time again, there is a risk that this will overflow to the whole asset class, right?
25:02Guy Perelmuter:That people are going to say, okay, this asset class doesn't work. And the truth of the matter is not that the asset class doesn't work. It's that specific strategy for that specific investor didn't work. And that's my fear, that you're going to see this kind of nuclear winter, if you will, caused by these failures that will inevitably come and that could spill over into the broader venture market.
25:27Sunil Nagaraj:So Neil, one question I would ask is, because you're on the ground investing at the early stages, and a lot of what you invest in, the old kind of adage in venture investing is when you invest in a company, you have to believe there's a potential for it to return the fund or more over a long period of time, which means you need to make some assessment of how big exits can be, especially when you see valuations arise at the entry point that you and Nate are getting into. And Guy, I know you do co-investments, so you're coming in many cases alongside some of these folks here. And it's very hard to debate that the exits have gotten bigger.
26:06Sunil Nagaraj:If you look at the internet to mobile to now, they've increased 5 to 10x every single time in terms of the size of the IPO, the size of the average outlier exit. But those are a small group of companies. And we feel like right now, or I feel right now, we are in this extreme power law state. So if you're an LP and you have no exposure to OpenAI, Anthropic, Andrel, SpaceX, your returns are unlikely to look very good. When you look at maybe$2 trillion of capital going back to LPs just from those three or four companies, is that the world we are going to live in, this extreme power law, that if you don't get it right, it is almost impossible at the entry points to be able to deliver that 3 to 4x type of return at the fund level?
26:52Nate Williams:No, I definitely don't think so. I think this is where we used this word transient earlier. I think there's a reason big companies, tiny startups have a chance against big companies because big companies can innovate, use their capital, turn into light monopolies, get fat and lazy and dysfunctional and say silly things. So at many big companies, they say, that's just a$2 billion opportunity. It's not worth our time. That is a ridiculous statement. That's just a$100 billion opportunity. It's not worth our time. And folks at Google and Anthropic are going to say things like that. That's not even considering like the Uber thing.
27:25Nate Williams:When Uber came out with their first pitch deck, they were going after black cars, which is a tiny market. So either underestimating market sizes as they grow, which big companies are terrible at doing. Look at 80 billion from Mr. Zuck, pissing it away on BR, as well as also following the trends and thinking that a market isn't big enough because they use their denominator. So this is almost like the size of their market cap is actually their Achilles heel, because that's how they measure every incremental dollar, because they're not trying to add 2 billion of market cap. They're trying to add 10 % of market cap.
27:52Nate Williams:So like there's just massive diseconomies of scale that we don't talk about enough. And so I think we're temporarily swung into this model of MAG7 producing 20 % while the rest of S &P is 5%, that these companies are a trillion dollars. While if I had a$5 million exit today, you could convince yourself that doesn't matter. It turns out it does really matter. When I have a$75 million fund three and I own 15 % of it, that's a huge freaking deal. And so I think we're just in this temporary window. The headlines are a little too hypey. We're all a little confused with AI sort of really impacting our lives since December with the Claude stuff coming out at that point.
28:24Nate Williams:So we're in this kind of funny corner, but I do think the idea of a certain size fund, you make 20 bets of about 10%, one or two work, even after dilution, it can return multiples on the fund. That is going to be a perennially good model. And that means that I'm going to say normal, not small, normal M &A and normal IPO. This is 500 million, a billion, 2 billion, 5 billion. It's still going to be really exciting. And there's a way to make a lot of money for LPs and for myself in that process.
28:49Sunil Nagaraj:I tend to agree with that. and I've seen these cycles kind of play out in the same way where you have a lot of euphoria, you have some breakouts. The main risk is when people start to apply that logic to every company and say, well, now the exit is going to be 50 to 100 billion. So I don't care what I pay. I think that is a false sort of pretense to actually operate a venture strategy around. Now you may get lucky and you get one of those 50 billion, 100 billion or even more. But one of the things that we always have to look at beyond what's transit is what has actually happened over the last few years that is actually going to stay past this kind of fever pitch moment.
29:28Sunil Nagaraj:And so venture has changed. I mean, look at the number of funds that have come to market. In 2021, I'll give you a stat, 1 ,300 VC firms raised a fund in 2021. That's up from about 200 per year. The last couple years, we've been averaging about 400 to 500, which is still quite a bit in terms of the not net new funds, but just not net new firms, but funds. In 2021, it was a lot of fun ones and fun twos, though. And that was when we saw the heyday of a lot of capital people starting hanging their own shingle. What do you think is actually, let's assume a year and a half from now, the market starts to stabilize a little bit, some of this frost starts to come back a little bit, or at least retreat because it becomes clear like there are some losers, there was expensive mistakes.
30:15Sunil Nagaraj:Some of these companies looked great, but weren't real long-term durable companies. What do you think stays the same in venture capital versus the things that we are saying that are transient?
30:26Samir Kaji:Yeah, I mean, I'll take a shot at it. Look, several of us on the call have founded companies, right? And the actual mechanics and the throwing motion of starting a company or starting a movement doesn't change. It starts with an idea. It starts with convincing a co-founder. It starts with a small amount of capital and kind of get going. And so as Sunil mentioned, I don't think that changes. Something that I do think is important to double click on is if I look five, seven years ago in the timeline you talked about, Samir, when there was an explosion in challenger firms, that coincided with majority of the tier one firms had upper limits on fund size.
31:04Samir Kaji:It was impossible to get allocation into Sequoia, Kleiner, Greylock, A16Z. In the last couple of years, we've seen much higher hard caps, if any hard caps at all, because you can SMA your way to tens of billions of dollars. And so I don't think that affects the small managers. I actually think that affects the middle managers that are hundreds of millions of dollar funds. So I think that trend will play itself out. On the startup side, Sunil, know, I thought you made a really good point, which is you have to be non-consensus and right. And one of the biggest fears I have, Samir, I mentioned to you offline is we are in this part where there's a, just a big part of venture capital is being conflated with access capital, right?
31:49Samir Kaji:Like we've got the Hollywood vibes in venture capital and we've got celebrities investing and we've got like triple layer SPVs. And I think there are economic reasons why that happens, which is the fact that there's a ton of companies that are generating exceptional wealth, similar to when Goldman Sachs went public in the 90s, there's going to be venture capital firms that go public. So I think the reasons, as Guy said, are economical, but I think the knock-on effects are going to be quite terrible. Because what ends up happening at the end of any boom cycle when there's a bust, there's a sense of alienation.
32:25Samir Kaji:And so if a lot of us study financial markets, you can be risk on forever. When you're risk off, you don't get to risk on very fast. And so if we go risk off, we could be risk off for three, four years. So let me just play that forward as somebody who likes to say, as I built my firm, I made some errors in terms of judgment, right? Building out a set of capabilities for founders that founders didn't necessarily need. They don't need OKRs. They don't need book clubs. They don't need exact coaching. You know what they told me, Samir, I need you to help me with downstream capital formation. And I need you to be effectively like a part-time CRO for the company.
33:04Samir Kaji:And so I think over time through trial and error, most of us VCs kind of get it together. And then the key, and I'm facing this right now, so hold me accountable. I can't go into much detail, but I have a new EIR in my team who's coming from a very large three,$4 billion company. I think that process of how you can work with somebody to create magic is so special. That's what that's why I'm not a growth investor. I want to be there when it actually starts when the magic starts.
33:33Sunil Nagaraj:Can we double click on something you just said you said and I think the old adage certainly in venture was on consensus and right if you look at the quadrants you're either right or wrong and yeah it's either consensus or non-consensus and no one wants to be in that quadrant where you were wrong and non-consensus. That's obviously like the terrible place because then you bet against the crowd and you were wrong. And then everybody thinks you're stupid or you're not going to be able to raise more capital and actually continue to build a firm. But I want to at least posit something and see what you guys think.
34:07Sunil Nagaraj:I think you can be consensus and right and still do well in certain cases. So I do think if you're a bigger firm, you can afford to just focus on consensus where you could put the most amount of capital behind a few sort of companies that are on this hyperscaler mode. And I also think it works in bull markets. I think in bear markets, it's a little bit tougher. So I'd love to get your guys' thoughts on at least bring a little bit nuance to this consensus versus non-consensus.
34:36Guy Perelmuter:I think there's very little doubt in all of our minds that something that approaches, not perfectly, but approaches consensus is growth money, right? As you see growth firms piling onto a relatively small cohort of names, that's their consensus, right? That's inevitably or almost inevitably companies that have been de-risked at some point by folks like us that come in early, that at some point were very non-consensus, very non-obvious, because hindsight is 2020. Now the idea that SpaceX will be worth, call it a trillion dollars, give or take a couple of billion dollars, a hundred billion dollars.
35:22Guy Perelmuter:Maybe two trillion. Exactly. All that feels very natural, very obvious. And to your point, very consensus-like. And because there are, again, relatively few names, not only a few companies that are reaching that kind of stage and size and gravitas, but also few firms, relatively few firms that can raise the billions of dollars necessary to keep that going. So it's almost like a circular argument where those few firms are going to subsidize or are going to invest in those very few names. Whereas in a very traditional barbell approach, there will be a ton of other firms looking to think about what is the second or the third derivative after this movement that will be the thing we're going to be talking about in, I don't know, four or five, six years.
36:18Samir Kaji:Samir, let me put a point on that real quickly because I think you nailed it. If everything was consensus, we wouldn't have roadblocks, right? Like if we're so consensus and it has to be up and to the right, triple, double. Within three years, you raise a$50 million seed, you raise$100 million Series A. There's nothing wrong with that. What I'm saying is one of the fears that I have is if you're heuristic to underwrite the next round is that it happened within 12 or 18 months. If you look backwards, there's a variety of companies that are very successful publicly traded companies that don't fit that profile.
36:57Samir Kaji:And so to think about what we do in the craft of venture, you have to be willing to break your own rules. I'll just get, I won't call out the VC firm, but they were very specific to me that they said, if you bring me a company that's raising a series A and that company was not formed in 2024 or 2025, it's almost always an automatic pass. And so I asked the question, why happens if they took time to measure thrice cut once, low burn, et cetera? we were focusing on clock speed and the best founders can iterate super quickly. There's nothing wrong with that, but there are plenty of anti-portfolio cases where that company that was light on capital.
37:37Samir Kaji:I'm thinking of a company like Viva in the emergence portfolio. I think they went public with like$7 million of venture capital raise. I would love a company like that. So it shouldn't be Samir. You mentioned the great food at the beyond summit. It shouldn't be just because there's a buffet and you can have unlimited food. I don't need 4 ,000 calories for breakfast. Like I should be smart enough to know like I eat enough food and then I go take my meetings.
38:02Sunil Nagaraj:It's a really good point. And it actually sparked a couple of things in my head that I'd like to ask you guys about. So number one is when we think about consensus, there's different definitions of what consensus could mean. It could mean traction, like companies growing 5, 10, 15, 20x per year. And in today's world, of course, I think there's this little bit of a false positive of companies going from 5 to 100. And then you kind of realize, okay, how are they actually computing AR? Is it durable? Is it experimental? Putting that aside for a second, that has created a subculture, though, whereby now companies raise a lot of money, grow crazy, or it's not interesting.
38:43Sunil Nagaraj:I've had investors tell us like, oh, you only go three or four X year over year. That's not interesting. Where's that 10 to 100, 100 to 500, which seems a little bit silly to feel like you're having these conversations. But this is what is happening every single day. And you guys see it. So consensus right now is like super high growth, raise a lot of capital. Consensus is not just about traction in some cases. It's also where do the people spin out of? Like, again, I go back to that DeepMind OpenAI. I go to, hey, this is deep tech is consensus right now. So like now you're attracting higher valuations and you're putting on these companies on this hyper growth path, which may not be compatible with the actual businesses.
39:24Sunil Nagaraj:How is that affecting you guys on the ground when you see these companies? And now a lot of things start to become consensus and then get priced as consensus.
39:34Nate Williams:Impacts in my Ubiquiti portfolio, 40 companies, we always invest at pre-seed or seed, but then I help my babies graduate to series A. It's gotten a lot harder to raise Series A's. And I think part of it is the consensus capital. Part of it is the turnover in the industry. The average Series A person hearing one of my portfolio company's pitches has been in the industry one or two years. And so they're over-rotated on the blog post in the last one or two years. And so I even wrote my own post about this supernova thing being sort of BS, but it sort of fixated everybody on like, if you're not growing 10x a year, I can't take it to my boss, right?
40:04Nate Williams:That's what the average associate would say, which really puts a damper on everything. and I'm not even asking for accommodations for deep tech at this point. Even if you're a SaaS company doing this, you're just not getting the same level of attention. Now I'd like to think with everything, it's a cycle. I've done this pendulum motion a few times. It'll eventually come back. But for the moment, I believe there's a tainted impression of sort of what that growth looks like. Either it's not real. It's just people have read about it being 10X and they fixated or it's 10X for a while, but then it comes crashing back down.
40:30Nate Williams:I just don't, I think AI has trained some structural stuff. I think you can get more done with less. You can prototype more stuff, but I don't think that the new hurdles are the new sort of baseline norm. It used to be triple that sort of thing. I don't think it's 10x10x. I don't think even though as much as some of the big firms post would like you to believe, I think it makes for good headlines. You have a lot of folks trying to ride the buzz to get more attention, but it also does. When I wrote that post about the supernova thing being BS, I got maybe 50 emails from friends saying, thank you for saying what we've all been thinking.
40:58Nate Williams:It's sort of the quiet thing, but nobody posted publicly about it.
41:01Sunil Nagaraj:Any thoughts on that? Because I do think it's, impactful when you have so much capital going into these companies. It does change what you can invest in. And in many cases, as a seed manager, you still have to play in that non-consensus, like what is true. And by the way, you've invested in companies, Sunil, like Halter, for example. I wouldn't say sensors on cows is the most consensus type of thing. Or even if you look back, Uber, companies like Airbnb, these were not consensus companies. So going back to that Nate, how do you, when you're investing right now, and there's a huge part of the universe right now where there are consensus because of the profile of the people or the fact that it is a deep tech company.
41:45Sunil Nagaraj:And if it's like space or AI frontier labs, they kind of pass you in terms of what actually makes sense for your models. So how do you adapt to that?
41:54Samir Kaji:Yeah. I mean, I think similar to, I was knocking Hollywood for a second, but I would actually derive a couple of learnings from Hollywood, which is the best people in Hollywood think of the George Lucas's of the world and the Clive Davis, they always reinvent themselves. And so I think Samir, you have to constantly be thinking about what your value proposition either as a solo GP or as a firm is to these founders. And so what I end up thinking on this is like part of the job that I do at union is effectively reading signals from series A and series B investors, right? That could be folks who sit at Google Ventures.
42:31Samir Kaji:It could be people at Lux like Peter or Josh Wolf. It could be Leo at Eclipse. I need to understand how they're thinking about the world. And I also need to have kind of the human Rolodex, which I do have, of the types of opportunities I think fits their taste. Because this is still a taste business, right? There's not an AI that's basically selecting Series A investments for these companies. And so what I've learned over the past eight years being a full-time investor through my EIR at Kleiner Perkins is I have a job to do to downstream capital to avail them of opportunities before they're non-consensus.
43:06Samir Kaji:I'll just give you two examples. This isn't talked in my book, but you and I had talked about, I have a company called Trustpoint AI, which is one of the leaders in risk decisioning for construction. They manage the financial process of a draw request in construction and actually creates a score that's quite helpful to private credit. The investors that when we first talked about on Sandhill, that was not an area they were spending much time in. And so it was easy pass. Now that company has PMF doing great. Another company, Urban Sky, came out of Techstar space, they have a stratospheric micro balloon, they raised their Series A from Lara Hippo, all toasted to Series B.
43:42Samir Kaji:So that's an example where we actually went out of the coverage of It's got to be Lux or Eclipse or Data Collective, et cetera, and said, hey, these people are smart. There are people on Altos who have military backgrounds who understand these types of companies, and they turn out Altos is an amazing investor. So I do think what it requires is a lot more legwork and advocacy. What I try to do is make that personal. I hope when I reach out to an investor that they see that my outreach, I'm not sending a bunch of like Mixmax messages, a Samir to GPs, 30 people for one portco. I'm making a specific case.
44:20Samir Kaji:Shaheen, you are the GP at Lux who loves cars. You have a 911 pictured in your office. You have beautiful kids. This is a company for you. And I think that bespoke, I learned that from John Doerr, who for all his success, that is one of the most maniacal, sleeves rolled up, tactical GPs I've ever seen. Calling in closing like director of engineering when he's already had Google, right? Already had big hits. And so I think that's the business. And that's the part that I get really excited about is doing the little things.
44:52Guy Perelmuter:I think, Nate, there's some very kind of symmetrical happenstance now, because to your point, I think we're trending towards a venture market, especially in deep tech, where the power of this equation is going to flip somehow. in the sense that I've been a firm believer that the best founders choose their investors, right? Even at pre-seed or seed, these founders say, okay, that guy from Software Beyond the Screen, that Sunil guy, that's the guy I want to talk to. That's the guy I want to pitch my startup to because he has the chops, the experience, the knowledge, yada, yada. And then once Sunil or Nate or any one of those very early stage great investors take that founder under their wing, coach them, feed them, help them build their company.
45:55Guy Perelmuter:And when that company is ready for other stage of its history, then to Nate's point, it's up to us to cherry pick which funds are now able to do the work. Who's going to get it? Who's going to understand the founder, the company, the opportunity that may or may not be consensus at that point in time? But I think that we are heading towards a venture world where the power is going to be not on the hands of the people that have the money, but it's going to be on the hands of the people that, of course, they have money, they have the capital, but they also have the credentials, the intangibles, the network, the coaching, the mentorship, the skills that are not on paper, but that every single founder talks about.
46:45Guy Perelmuter:and that's how a lot of founders find their way into our firms because other founders will tell them, you know what, Nate is the guy you want to talk to for that particular problem or Sunil is the guy that you want to talk to that particular problem.
46:58Sunil Nagaraj:I think the other thing you probably have to think about is who are the ones with the right aligned incentives with the company? Because what we are seeing right now is companies being pushed on almost this homogeneous path to take a lot of capital, try to get that 10x growth, which can actually result in a lot of value destruction. So we talk about some of the expensive mistakes that will happen and some of these companies that we'll read about in two years, three years, that were high flyers that didn't make it. And some of it is because they took on too much risk. They imbued on too much operational risk by the amount of capital.
47:31Sunil Nagaraj:And then what ends up happening is those companies get orphaned and then they go into a point where they sell for almost nothing or they get acquihired. And I think that's going to happen. And we've talked a lot around a number of different things in terms of the venture market, deep tech. I'd like to end with asking you all kind of the same thing, because one of the maybe not so great effects of AI is like we see a lot of AI slop out there. And this is permeated through all the social media networks. Everyone has opinion that they write about venture capital. What is the thing that you see parroted the most in whether it's LinkedIn or Twitter or whatever about venture capital that you fundamentally disagree with and wish it wasn't parroted as much as it is?
48:15Sunil Nagaraj:And I'll start with Guy and then I'll go to Nate and Sunil.
48:18Guy Perelmuter:I think this idea that venture capitalists are the ones responsible for the success or failure of a company is kind of usually blown out of proportion. I think the good ones, they absolutely will have a big role in helping, building, and kind of guiding their respective companies. But I think that the headlines that capture the LinkedIn's of the world or the newsreels of the world are much more simple and very repeatable. And I will give you guys an example that we all remember, even though it was very brief. but during a relatively short period of time, the world was fixated on virtual reality.
49:01Guy Perelmuter:That was going to be the next big thing, right? Then there was this even smaller period of time when blockchain was absolutely going to change the world, right? Flip it upside down. And now it feels that, yeah, now we hit something that will actually change the world, will actually make everybody's lives different. but at the same time, this is not because a handful of GPs had their hand on it. This again, this is a trend. These are multiple currents that were trending towards a single point, a convergence of factors. And I think it's a little naive. And I think a lot of investors fall for that narrative that, oh, this is because that investor or that other investor has this touch and they were able to transform this trend into reality.
49:53Guy Perelmuter:They just wished that to be true and it became true. So that's something that I think, again, going back to my earlier comment, I think that could have a very nasty spillover effect when, not if, when the losers are clear and the money is effectively lost.
50:11Samir Kaji:I think that's a really good point. Yeah, mine's a little bit different. I really, there's two things I really don't like. I think the first one is correlated to the second. I think the first one is really that the best tech always wins, which is absolute bullshit, right? The best tech doesn't always win. That just does not happen. And because of number two, which is distribution is really going to be the kingmaker for the next 10 years. And so we have just been, I got here in the Valley from grad school in 2005. I worked at Intel, I was working on speeds and feeds of semiconductors and many core.
50:47Samir Kaji:The thing about that time is the Googleization of the only job on the field or the only position that mattered, Samir, was engineering. It was engineering, then it was product, and then it was finance, then it was marketing, et cetera. And I think we're about to see a big role reversal. Even that trope that we see where you get a very technical founder, it's like, I think I need that sales guy. I'm going to get the sales guy at series A or the sales guy or gal. And all of a sudden they raised$20 million in a mango seed. They have no traction. And so that's something that I see. I try to attack it all the time when it's ever propagated that of course, deep tech founders are always, almost always hacker hacker teams.
51:33Samir Kaji:In the 1990s, Boston 95, 128 corridor, hacker hacker teams who are PhDs with a GP who is a PhD. The problem is the world is so different now. And if you don't have that Rolodex to Schneider, to Siemens, to Bosch, Verizon, AT &T, Best Buy, Apple, that's really hard to uncork success for a founder. So I would say it's not always the best tech, it's distribution and work with people who understand that distribution.
52:03Nate Williams:both of those i agree with them i'll add one final one here this notion of you're not going to get replaced by ai you'll get replaced by someone that's using ai i think no i think some people will get replaced by ai i think a lot of vcs mark and recent among them will say yeah other jobs will get replaced but not vc it's special i don't think so i think like a lot of the stuff that i do a lot of the stuff that people around ubiquity do will get replaced by uh i want to be compassionate and delicate and thoughtful about it and retrain and things like that but i think that that quote is kind of just wrong.
52:34Nate Williams:I think we need to take on the challenge ahead, like eyes open as opposed to it. So at the moment, again, I mostly think of the agent stuff is like six months old since the Sonnet upgrade, Opus upgrade in December. We are all need to rethink kind of how we're approaching things at every level of it. It's not, it's not that you're going to get replaced by someone using AI. I think that's parroted way too often.
52:56Sunil Nagaraj:Well, there's a lot of things we could probably talk about that gets parroted out there. And these are, this is a great way to end. And we appreciate you guys coming on and recreating some of the parts of the conversation that we had over breakfast. But thanks again. And really appreciate you guys coming on.
53:11Guy Perelmuter:Thank you.
53:11Sunil Nagaraj:Awesome, guys. Thank you. Thanks for listening to another episode of Venture Unlocked. I hope you enjoyed the conversation with Nate, Sunil, and Guy. If you'd like to get Venture Unlocked content straight to your inbox, go to VentureUnlocked.substack.com and sign up or head over to Apple Podcasts or Spotify and subscribe. Thanks again for listening.
From the publisher
Follow me @samirkaji for my thoughts on the venture market, with a focus on the continued evolution of the VC landscape.
Welcome back to another episode of Venture Unlocked, the podcast that takes you behind the scenes of the business of venture capital.
In this episode, I’m joined by three deep tech investors and friends of the show, Nate Williams, Sunil Nagaraj, and Guy Perelmuter, for a roundtable on the state of deep tech and the changing venture landscape. We dig into what deep tech really means today, why it’s suddenly attracting so much capital, and how economics, government tailwinds, and AI as a “killer app” have pulled these once niche technologies into the mainstream. We also explore the growing concentration of capital in a handful of hyperscale winners, the tension between consensus vs. non-consensus investing, and what all of this means for emerging managers, LPs, and founders operating at the zero-to-one stage.
Thanks for listening to another episode of Venture Unlocked. I hope you enjoyed this conversation with Nate, Sunil, and Guy. If you’d like to get Venture Unlocked content straight to your inbox, go to ventureunlocked.substack.com and sign up, or head over to Apple Podcasts or Spotify and subscribe. Thanks again for listening.
Nate Williams is the Founder and Managing Partner of DeepTech seed firm UNION (Union Labs, Union Peak VC funds) and formerly served as an Entrepreneur-in-Residence (EIR) at Kleiner Perkins focusing on vertical “Physical AI” opportunities across Climate/Resilience, PropTech, and Mobility. Nate has made over 40 early-stage investments, including Urban Sky, Butlr, Antimatter (acquired by Databricks), Proxy (acquired by Oura), Ruby Robotics (acquired by Intuitive Surgical) and Klue (acquired by Medtronic). Before transitioning to full-time VC, Nate built a track record as a hands-on operator with senior leadership roles across startup, growth, and turnaround stages, culminating in successful exits for 4Home (to Motorola, 2010), Motorola Mobility (to Google, 2012), Motorola Home (to ARRIS, 2013), and August Home (to Assa Abloy, 2017). Earlier in his career, Nate was an Analyst in the Digital Home Group at Intel Corp. Nate holds an MBA from UCLA Anderson School of Management and a Bachelor’s degree in Comms from the University of Connecticut.
Sunil Nagaraj is the Founder and Managing Partner of Ubiquity Ventures, a seed-stage venture firm investing in “software beyond the screen,” including robotics, AI, industrial automation, and frontier technologies. Prior to founding Ubiquity, Sunil spent over a decade at Bessemer Venture Partners, where he invested in companies across cloud computing, developer tools, and emerging technologies. He is widely recognized for his early conviction in deep tech and infrastructure-driven innovation before it became mainstream in venture capital.
Guy Perelmuter is the Founder and Managing Partner of GRIDS Capital, a venture firm focused on deep tech, AI, and advanced industrial technologies. With a background spanning engineering, technology, and investing, Guy has built his career around backing highly technical founders tackling complex global problems. He is known for his insights into the convergence of AI, infrastructure, and industrial transformation, as well as his emphasis on technical depth and long-term value creation in venture investing.
Timestamps:
Topics in this conversation include:
* Definition of Deep Tech by Technical Prowess and Advanced Engineering (2:51)
* Hardcore Technology, Difficulty to Build, and Hardware Misconceptions (3:51)
* Drivers Of Deep Tech Tailwinds: Maturing Technologies and Government Push (6:12)
* Excess Investor Interest After SpaceX and Other Breakout Successes (9:18)
* Historical Analogy to Electrification and AI as New Infrastructure Layer (14:43)
* Need For Specialized Deep Tech Expertise and New VC Org Structures (19:36)
* Schizophrenic Risk-on Behavior and King-making of Consensus Winners (22:08)
* Why Normal M and A and IPO Outcomes Still Matter For Smaller Funds (26:53)
* Fund Proliferation, New Managers, and What Will Prove Transient (28:49)
* Access Capital, Hollywood-ization of Venture, and Coming Bust Risks (33:34)
* Consensus Growth Obsession, 10x Expectations, and Metric Distortions (38:02)
* How Seed Managers Adapt and Curate Downstream Capital for Portfolios (41:01)
* Founder-led Investor Selection and Power Shifting To Specialist Seed GPs (44:53)
* Myths About VC Impact, Trend Surfing, and Overstated GP Influence (48:18)
* Final Thoughts and Takeaways (53:11)
Follow me @SamirKaji and give me your insights and questions with the hashtag #ventureunlocked. If you’d like to be considered as a guest or have someone you’d like to hear from (GP or LP), drop me a direct message on X.
This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit ventureunlocked.substack.com




