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In Machines we Trust

Gumloop Raises $50M from Benchmark to Scale AI Agents

In Machines we Trust

In Machines we Trust

Technology

4.36 Ratings

🗓️ 12 March 2026

⏱️ 12 minutes

🧾️ Download transcript

Summary

In this episode, we spotlight Gumloop, a startup that recently raised $50 million to empower employees to become AI agent builders. We also explore Gumloop's unique model-agnostic approach and how it helps companies automate tasks and scale AI adoption across their organizations.


Chapters
00:00 Gumloop's Mission & Funding
00:52 Listener Reviews & Host's Bias
03:21 Gumloop's Growth and Impact
05:33 Benchmark's Investment & Gumloop's Vision
08:50 Competition & Model Agnostic Approach
10:33 AIbox.ai: Host's Startup


Links
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Transcript

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0:00.0

Welcome to the podcast. I'm your host, Jaden Schaefer. Today on the show, we're talking about,

0:04.4

I want to do a startup highlight. It's a company called Gumloop. They just raised $50 million from

0:10.2

Benchmark, one of the top tier VCs. And they're, essentially their goal is to help every employee

0:15.8

turn into an AI agent builder. So look at those tasks you're doing, look at the things you're doing,

0:20.7

and how do we create AI agents to automate stuff you're doing? Share those to other organizations,

0:25.3

share them within your department and around your company to help everyone do more with AI agents.

0:30.6

And honestly, this is a pretty ambitious company, but I think they've actually landed some

0:35.1

pretty successful plays. I'm excited to get into

0:37.7

this because this is a company that was started in mid-20203, right? So we're talking like

0:42.2

post-chat GPT hype, and they were able to grow scale successfully, and now they've raised

0:48.6

$50 million. So this is going to be a good one to get into. Before we get into that, I just wanted

0:53.1

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 Texa Saint. Thank you, Texas Saint 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,

1:27.7

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

1:32.6

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

1:37.5

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

1:42.7

variety of different reasons other people agree with so

1:44.6

anyways i hope that it's still insightful and educational and you know we're all learning about

1:49.0

i i appreciate all of you guys uh coming along uh one other one other i got a four star review

1:55.9

uh from matthew ccote or matthew come on bro is my birthday got to give me a four star review

2:00.8

like that this 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 Open AI and Anthropic, and they all kind of come up with features. and when someone does one feature, they also copy it. So I totally get that how it can feel

2:21.8

repetitive sometimes. Also, as far as being biased to certain vendors, I will say not sponsored

2:27.1

by any of the, any of the companies I talk about on the podcast currently, although shout out to

...

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