Today on the podcast, I want to talk about a startup that just raised a $10 million precede,

which is called Julius. It's basically an AI data analyst. And the thing that I think is really

interesting here that I think is going to be exciting for the whole industry is just how much

controversy and I guess pushback this company had at the beginning when they were first getting

started because basically they're a data analyst. They do something chat chp t has built in and anytime the chat chpt or any

of these foundational models they roll out a new feature set right like you know voice or they have

kind of the agents built into chat chptu people say oh my gosh the agents built into chat chptupte just

killed 400 ai startups but at the end of the day, it doesn't

actually have to kill startups. And so today on the podcast, I want to be breaking down what happens

in an industry when you still focus on a small vertical like this, what basically the outcome has

been for Julius and where I think this is going to go in the future. Before we get into that,

I wanted to mention if you've ever wanted to try any of the top models that I mentioned on this podcast, I'd love for you to check out AIbox.a.I., which is my very own startup, which is currently in beta. On the platform, one of the things I love, you basically get access to the top 40 AI models, all for 20 bucks a month. You don't have to have $20 subscriptions to everything. But we have a section in there, which is basically the benchmarks.

It shows you the price. AI models all for 20 bucks a month. You don't have to have $20 subscriptions to everything.

But we have a section in there, which is basically the benchmarks. It shows you the price per

AI model compared to using it against other AI models and also the quality, which one has

the best score basically on the benchmark. So if you go over to something like Sonnet 3.7,

you can see basically how much it costs in comparison to other models

is kind of up there because it's their top model. But you can also see that it is the highest

score next to a lot of others, but you might be surprised that the Quinn 2.5 model isn't actually

super far behind based off of benchmark scores at 77.

So you also can find, you know, Gemini is kind of competing well against it.

So a whole bunch of interesting insights.

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