Funding Boost: Gupshup's $60M for AI Chat Agents Explained
In Machines we Trust
In Machines we Trust
4.3 • 6 Ratings
🗓️ 13 September 2025
⏱️ 10 minutes
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Summary
The AI race in chat tech heats up as the chat AI startup lands a $60 million investment. We unpack what this means for AI development, market competition, and enterprise adoption. Discover what sets the chat AI startup apart in this growing sector. This move is seen as a strategic push toward launching advanced bot frameworks. Hear how Gupshup aims to differentiate in an increasingly crowded AI space.
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Transcript
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| 0:00.0 | A company called a GipShop has just raised $60 million to help bring AI into messaging for companies. |
| 0:07.7 | Now, they're doing some interesting things that I haven't actually seen other places, |
| 0:11.1 | but at the same time, I think their story is really interesting because this company is not new. |
| 0:15.7 | With a lot of these companies where you see, you know, people launching these really interesting |
| 0:19.6 | AI use cases where they're bringing |
| 0:21.0 | AI to, I guess, businesses or things that already exist. |
| 0:25.5 | They're kind of competing with the incumbents. |
| 0:27.3 | In this case, Gitschup is incumbent to the point where it's been around for 20 years. |
| 0:32.2 | So after 20 years, how are they still able to raise $60 million? |
| 0:36.0 | They're talking all about the latest IPO that they're going to do. And so a lot of people are asking, you know, like, how has this company basically not died? But also, you know, what kind of value have they added? How are they able to keep raising money? And I think the story is really interesting and could be a roadmap for many other companies. But I'll get into all of that. First I wanted to mention if you want to try any of the AI models that I talk about on the podcast, I have a platform called AIbox.a.i that is currently in beta. It's got 40 different AI models on there. And essentially, it allows you to chat with all of them in one place. One of my favorite features that we have added is the ability to see benchmark data |
| 1:12.5 | from all the top AI models. |
| 1:13.9 | So if you're using an AI model, you could see exactly how it compares with other AI models. |
| 1:20.1 | And in addition to this, you can also see, like, directly, you can test out these different |
| 1:26.0 | models against each other. |
| 1:26.9 | So you can ask a question and you're able to get it to regenerate the response with different |
| 1:31.6 | AM models and see how they respond and compare them side by side. |
| 1:36.2 | So this is a really interesting tool that I have been able to use. |
| 1:39.5 | It also saves you a ton of money, not having to have subscriptions to every single platform, |
| 1:43.0 | one place that you can get access and test out all of the top AI models that basically you need for image, |
| 1:49.3 | audio, and text. All right, let's get into what's going on with GitHub. Oh, but I will mention |
| 1:54.2 | for AIBox. You can check that out. There's a link in the description, AIbox.com to try that out. |
| 1:59.6 | All right. So, Gish So, they raised $60 million. |
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