$134 Billion Databricks Secures $4B
In Machines we Trust
In Machines we Trust
4.3 • 6 Ratings
🗓️ 21 December 2025
⏱️ 7 minutes
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Summary
$134B Databricks locks $4B to scale Mosaic AI for foundation model training. Financial firms run fraud detection at edge speeds. Platform maturity attracts Fortune 500 migrations.
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Transcript
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| 0:00.0 | Databricks has just raised $4 billion at $134 billion valuation. Its AI business is heating up |
| 0:08.1 | right now and people feel like the IPO window is starting to crack open. And this is why |
| 0:13.9 | Databricks may be getting itself ready for the moment when they're going to IPO very soon. |
| 0:18.9 | So we're going to get into all of that on the podcast today. |
| 0:21.1 | And before we do, I wanted to mention if you want to try all of the AI models I talk about |
| 0:25.1 | on this show, I'd love for you to try my own startup, which is AIbox. |
| 0:28.6 | I'll leave a link in the description. |
| 0:30.9 | You get access to models from Databricks, among a ton of other people's, tons of open source |
| 0:36.3 | models, tons of really cool image generators |
| 0:38.2 | you may not have tried before. You can test all of these models side by side. And for $20 a month, |
| 0:43.7 | you get access to all of them. Open AI, Google, Gemini, Grock 11 Labs for audio, tons of amazing |
| 0:50.6 | models. I'll leave a link in the description to AIbox.a.I. And I hope that saves you |
| 0:54.9 | some money. It feels like the market for IPOs is starting to warm up a little bit. It's obviously |
| 0:59.7 | gone through a long, cold winter where a lot of even the biggest companies, I mean, you could |
| 1:04.4 | talk about like Stripe and SpaceX, these massive companies that in the past traditionally |
| 1:08.5 | would have 100% IPOed by now have not. |
| 1:12.0 | But there are a bunch of startups that have started to IPO and they've seen some mixed |
| 1:16.2 | results on the public markets. In the past, this was the number one way that a company was |
| 1:20.8 | going to raise, you know, all their money. They needed to make it to an IPO. It was for investors. |
| 1:25.0 | It was for employees. But it feels like today there are a ton of |
| 1:29.5 | startups that have no intention of going public. They've been running as private companies. And I think |
| 1:34.7 | this makes a lot of sense today because right now you can raise insane amounts of money. I mean, |
... |
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