Gumloop Raises $50M from Benchmark to Scale AI Agents

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Welcome to the podcast.

I'm your host, Jaden Schaefer.

Today on the show, we are 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.

And 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-Chatch 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 I 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,

like 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, it 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 open AI and Anthropic

and they all kind of come up with features

and when someone does one feature, they also are copy it.

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 buyers 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 gonna be biased

if I'm actively using them.

And 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 gonna 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's 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 right 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 Urbass.

He's one of the co-founders.

And they started back in 2023.

And I kind of gave you the idea,

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, OpenDore.

A bunch of other of these big players

are actually using them.

And they essentially deploy AI 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 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,

what he says happens inside of a company

and why they grew so fast, he says that someone

is going to build one of the employees inside of a company

builds one and then another team inside of the organization

is going to copy it and they modify it.

And then basically it just spreads wildfire inside

of the organization.

So it's kind of interesting, right?

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 that 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, that vision of putting AI

into the hands of every employee is what they're 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 Clienter Parkins before.

So Randall's been at a lot of these top DCs

and he believes that 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.

So they're 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 Nexus venture partners,

first round capital-like 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.

And 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 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 sort of 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 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 1 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, 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

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 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 anthropic 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 they had to add a lot of engineers

and a dedicated sales team, which makes sense, right?

And I know it's like, well, why can't the AI do the sales?

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 JetGPT is custom GBT's,

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 is 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 JetGPT 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 gonna 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 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

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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,

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so you can go check that out at aibox.ai.

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It is only 899 a month to get started

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So it's super affordable, saves you ton of money,

and to be honest, I have replaced my subscription

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especially for the ones that I don't use

like super, super heavily.

But yeah, 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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