Gumloop Raises $50M from Benchmark to Scale AI Agents

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as of October 2025. Welcome to the podcast. I'm your host, Jaden Schaefer. Today on the show,

we're talking about, I want to do a startup highlight. It's a company called Gumloop. They just

raised $50 million from benchmark, one of the top tier VCs, and essentially their goal is to

help every employee turn into an AI agent builder. So, look at those tasks you're doing,

look at the things you're doing, and how do we create AI agents to automate stuff you're doing,

share those to other organizations, share them within your department around your company,

to help everyone do more with AI agents. Honestly, this is a pretty ambitious company,

but I think they've actually landed some pretty successful plays. I'm excited to get into this

because it's a company that was started in mid-2023, right? So, we're talking like post-chat Upt hype,

and they were able to grow scale successfully, and now they've raised $50 million. So,

this is going to be a good one to get into. Before we get into that, I just wanted to say a big

thank you to everyone. Yesterday was my birthday, and I asked everyone if you hadn't already

to leave a review for my birthday, and I wanted to say a huge thank you. I had tons of reviews. I

wanted to read a couple of them. Some of them are funny. Someone said, I think Jaden does a great

job of concisely capturing the latest AI-oriented news. He comes across as a generally good guy,

and they always look forward to his take on things. That is from Texas St.

Thank you, Texas St. for saying I am a generally good guy. I hope someday to become like a super

good guy, but a generally good guy is awesome. I think especially in the field of politics,

you probably see this on a lot of other podcasts too, but in the field of AI, there's so much

that touches into politics and ethics and so many areas where people have a lot of strong opinions.

So, inevitably, I'm going to say things that probably people don't agree with for a variety of

different reasons other people agree with. So, anyways, I hope that it's still insightful and

educational, and we're all learning about AI together. So, I appreciate all of you guys

coming along. One other, I got a four-star review from Matthew C. Coder. Matthew, come on,

bro, is my birthday. You gotta give me a four-star review like that. This is what he said. He said,

provides a good overview of recent news and AI, but can be very subjective and repetitive in

some topics and comes across as biased for certain vendors. As far as being repetitive,

it's kind of hard, right? Because you have like Google and OpenAI and Anthropic, and they all

kind of come up with features and someone does one feature. They also were copied. So, I totally

get that how it can feel repetitive sometimes. Also, as far as being biased to certain vendors,

I will say not sponsored by any of the companies I talk about on the podcast currently, although

shout out to OpenAI. I won't turn down a sponsorship deal, but in all seriousness, as far as being

biased to certain vendors, I definitely, I can agree with that. I probably am, but it's typically

vendors that I use the most and that I get the most use out of. So, I mean, naturally, I'm going to

be biased if I'm actively using them. I do try to try all of the different AI companies. And so,

if I'm just seeing the XYZ video generator, like VO3 from Google Flow is just so much better

than something like runway, for example, I am going to be biased and that's kind of what I'm doing.

But I do try to reevaluate because these things all change all the time and give you guys the latest

on whatever is imperving the most. So, anyways, that's where I'm at on all of those. I really

appreciate it. If you have any comments or thoughts, feel free to share them at write a review. I'll

probably cover it in the show if it's an interesting thing that I feel like it applies to everyone.

All right, let's get into what's going on with Gumloop. This is a really interesting company. It was

started by Max Broder Urbas. He's one of the co-founders. And they started back in 2023. And I kind of

gave you the idea that the overview of what they're trying to do, but basically they're just trying

to help automate some of their more tedious parts of a job with AI. When they first launched,

I think it was very ambitious and it was definitely a lot more experimental. And I remember seeing

this company come out of the gate. It's something that was ambitious, but I didn't really know if

they're going to be able to pull this off. I think that has changed a lot. I've been impressed

at the time back then. There was actually a bunch of other companies that were doing demos and

stuff. And some of them did not make it. But Gumloop has done a pretty good job. They're used by

Shopify, Ramp, Gusto, Instacart, Open Door. A bunch of other of these big players are actually

using them. And they essentially deploy agents that are doing complex stuff, multi-step workflows,

and you don't need an engineer. So instead of having to write the code, you can just build these

agents visually. Similar to what I'm working on with AIbox.ai, my own startup. And I, so yeah,

no shocker that Gumloop is doing really well. I see a ton of value. And this is an area that is

growing very fast as I'm seeing with my own startup. So according to Broder Urbass,

because essentially what happens, like what he says happens inside of a company and why they

grew so fast, he says that someone is going to build like one of the employees inside of a company

builds one. And then another team inside of the organization is going to like copy it and they

modify it. And then basically it just like spreads like wildfire inside of the organization. So

it's kind of interesting, right? You, I think you oftentimes hear people creating a tool and then

it kind of gets out of the organization. And another organization uses it or a template or some

sort of resource. And that's how a lot of these companies grow. It's interesting to see that

for them, it's like one person in a company uses it. And they basically are kind of the person

that spreads it to the whole organization. He said, he said that, you know, once someone like this

starts building more agents, then suddenly the whole company becomes AI native. That's a quote

from him. So I think right now, you know, that vision of putting AI into the hands of every employee

is what they're trying to trying to do. And that's what Drew Benchmark's general partner,

Everett Randall, to them. He's the one that kind of spearheaded the investment into them. Randall

also is new to Benchmark. He joined it just in October. He was at Kleiner Parkins before. So,

Randall's been at a lot of these top DCs. And he believes that, you know, everyday workers

should have a quote unquote AI superpower. So at this kind of, I think why they invited me this

investment here. And of course, $50 million is a big lead. They didn't put the full $50 million

in, but they led this around. It's their Series B investment. And this is also Randall's first

deal over at Benchmark. So he's making his mark. And this is a cool, this is an impressive deal.

The round had a bunch of other people in it. There was an access venture partners,

first round capital Y combinator box group and began and project and Shopify. So it's interesting

because Shopify is one of the customers that uses it and now they're invested. I think we actually

see this a lot with software, especially with these bigger firms. If they can go find a startup

and they're willing to use the product, they like the product and probably they're seeing a lot of,

you know, internally at the company, it's saving them a lot of time and money and their employees

are using it. They're like, well, that's probably going to be the case for a lot of other companies.

And I've actually seen some investors, it's kind of their like a strategy to invest in their

invest in their like expense sheet. Basically, the companies that they spend money on, they invest in

them. So one thing that I think is interesting, Gumloop wasn't actually actively raising money,

but Broder said that, you know, the timing felt right and Benchmark kind of reached out to them and

said, hey, look, we see you guys are growing. We'd be interested in helping you put together

around. And Benchmark, by the way, is the company, I mean, obviously tier one VC, but they've

invested in like eBay Uber Dropbox. So they've been into a lot of these. And so I think because of

that Broder, who's leading Gumloop was like, look, this is a big, you know, big firm. They obviously

have a lot of great connections. And so he wanted to get in with it. Originally, his goal when he

was building this company though, Broder, he said that he was envisioning building just a 10 person

billion dollar company. That was his goal. He just wanted this to be like super lean. And you know,

with AI agents. And especially because his company is an AI agent company, I think that would have

been some incredible marketing to be like, look, we reached, you know, a billion dollar, a billion

dollar valuation. And we've just done the whole thing with just 10 people. And we've been using AI

agents. There's an interesting report that came out. It's kind of one viral yesterday on X,

which is that for like getting, for getting and theropic up to like over a billion dollar valuation,

there was only one person on the go-to-market strategy team. And he was just using. And I actually

think up until quite recently, it was one guy running all of their GDM. And he was just using

tons of agents powered by Claude to do everything. And so I'm sure that's kind of like a marketing

thing. But I think the guy leaked that out himself. It wasn't like anthropic. It was trying to make

a big point of it. So I thought that was hilarious. It's definitely possible more than you'd think. But

of course, according to Broder, in the case of Gumloop, he said demand from enterprise customers

basically pushed them to scale more aggressively so that to add a lot of engineers and a dedicated

sales team, which makes sense. And I know it's like, well, why can't the AI do the sales them?

And realistically, people usually want to talk to a person on a call and not be sold by an AI

agent that you can't really verify and put a face to. Gumloop definitely isn't alone,

though. And I think chasing this kind of vision of turning knowledge workers into AI builders.

There's a lot of competition, Zapier, N8N. There's some newer interesting agent tools that I've

been looking at like dust. And of course, I'm building one AI box. And so I think basically,

even the major AI companies are moving in this direction. Anthropic recently introduced

cloud co-work, which basically lets you create autonomous agents without writing any sort of code.

And like JGPT is custom GPTs, which I wouldn't go so far as call those agents. But they are useful

tools that can help you kind of automate some things to a small degree. Now, one thing that I

think Gumloop is doing very well. And I predict this as a huge trend across all AI companies is that

they are modeling agnostic by design. So basically, every time there's a new update and a new model

starts kind of crushing it in the benchmarks and beating everybody else. I mean, typically,

we see kind of like a cyclical loop somewhere between like JGPT and cloud and Gemini and Grock.

And maybe another random one gets thrown in the mix every once in a while. But we see this like

every quarter basically cycling through who's leading in the benchmarks. And so because of that,

different AI models are good at different tasks. They perform differently. Gumloop basically

lets companies choose whatever model fits their job best at the moment. And they can switch that out.

I think this is actually smart. And it's kind of a competitive advantage that opening AI

Google Anthropic, they can't really touch. Because even though they're all going to make these AI

agent tools, if you could get the same thing at a company that lets you switch an interchange

between them all, there's a huge value there as, you know, as different AI models are kind of

going up and down in the benchmarks. And they're getting, you know, they're edging out the

competitors. You always want to use the best tool. And, you know, some of them are better for

different things. And to that point, if you want to get access to over 40 of the top AI models,

everything from text, image, and audio, I would love for you to try out my startup, which is AIBOX.AI.

Not only do we have an AI agent builder where you can describe a tool you would like to create,

and it will link together different AI models, fill up prompts so you can automate tasks that you do.

We also have a playground where you get access to over 40 of the top models, and you could

chat with them all in the same thread. So you can start talking with chat GPT, switch to Gemini,

switch to Claude in the same thread, it sees the context, and you don't have to worry about

paying for subscriptions to a dozen different platforms. You get 11 labs for audio, you get a

bunch of cool image generators. So you can go check that out at AIBOX.AI. I'll leave a link in

the description. It is only 899 a month to get started, and you get 20% off if you get an annual

plan as well. So it's super affordable, saves you a ton of money, and to be honest, I have replaced

my subscription to a bunch of different AI platforms with that, especially for the ones that I

don't use like super, super heavily. But yeah, go check it out, hope that saves you time,

money, AIBOX.AI, links in the description, catch you guys in the next episode.

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