Leveling the Playing Field: Empowering Retail Investors with Bridgewise

Hi, my next guest is Gabriel Diammont, the CEO and founder of Bridgewise.

Thank you so much for stopping by.

Thanks for having me.

So I'm really looking forward to this interview because I understand what you're trying to do is level the playing field between the retail and the professional investor.

Exactly.

So, I'm Gabriel cofounder of C of Bridgewise uh global investment villages platform.

Basically what we came to do.

It's try to catch the the noise, OK.

The world is flooded with data, financial data about every company you can just go to your findings and extract tons of data.

But when you are trying to get the insight and understand what you're getting, so all this data is not only confusing, a lot of the time it's contradictive.

So whatri has been since 2019, we were able to create something that will capture the noise and will give you exactly the insight, a clear buy wholesale recommendation, but in the local language and in your own language, which means no JPMorgans are gone.

OK, we're cutting down to the chase and explain.

Exactly what is the recommendation, but what was the thought process behind it.

Ah, and I understand you just launched a new product.

Yeah, we just launched Signal wise.

So if up until now, Bridge was a platform that was passive, that we needed to go and ask what is our subjective opinion.

Now we have created a tool which is the opposite.

It's 100% active and it follows what happens in the market.

For example, Nvidia just hit 52 weeks high.

So you are getting a signal that says Nvidia just hit 52 weeks high in the last 30 times it happens, Nvidia jump another 5% in the next week.

You might want to read more about Nvidia and then you can come back to the Bridges platform that is available on your trading platform and understand what more can we hear about Nvidia and then make.

A rational decision that has all the data alive.

Oh, that certainly seems helpful.

It's all in one place.

Instead of seeing, 0, 30 analysts say bye, this one says hold, that one says sell, you can just come here.

Exactly, but it's not only that we give actual rationale.

What was the thought process of the algorithm we're, we're doing AI in 2019, OK, before it was a buzz and before everybody called it GAI.

OK, when we started, it was NLP and then it grew up to the different jargons.

GAI just back very, very, very, very well with open AI growth.

Um, so what we are doing is not only we are gathering the information, we are analyzing crunching it, and we are giving the clear vision so we can tell you that Apple balance sheet looks amazing.

OK, the cash flow looks amazing.

The we don't like the P&L, but it's Apple, so it's uh outperforming, not a buy recommendation.

And then we will analyze the news and then we will analyze what was in the last uh earning calls where Tim Cook says ABCD that we like and ABC that we didn't like so much.

The aggregation of everything and with the recommendation about every single thing that is there basically allow you to receive.

A much clearer understanding of what you should do, OK?

We also have it, of course, in a conversational manner.

OK, so we have a tool that is acting as the conversational gateway to our platform to our knowledge base.

So instead of going and actively looking and searching everything you can say.

What is uh how is Apple going to be affected by the new tariffs of the of the Trump administration and you will get an answer that is not hiding and is not sending you to advisor in the opposite way will say.

Apple is is an outperform recommendation.

The tariffs are a challenge.

You need, you, you can see that they can actually affect the cost of goods for them.

You need to so it's still an outperform.

It's still a good decision, but then you, but we think that the competitor from.

China is a better fit for now.

We are globally, we're covering 44,000 stocks.

We're covering 17,000 ESG ESG companies, and we're covering 15,000 ETFs to give you a full scope of basically.

Of of of infrastructure to make your decision in a better way.

And you had mentioned earlier in your language, so how many languages, how many different countries are you operating in?

We have 17 different languages, which means that we operate in dozens of countries and, and we are also regulated so we are one of the things that we are proud of that we are not trying to avoid regulation and we are not trying to avoid responsibility.

Exactly the opposite opposite way we're attacking.

We take it right on.

We're speaking with regulators.

We love the regulators and our capability of making those decisions and taking the responsibility.

It's a big differentiator of us, and this is why over 70, 70 institutions across the globe are working with us, right?

And only since 2019, so you've seen quite some traction then, yeah, definitely.

I think that over we have tens of millions of people that can be exposed to a platform.

On, on an annual basis.

So looking forward, what do you expect from the market and what can we expect from Bridgewise?

OK, so with Bridgewise we are going all the way, but from the market, what what we expect right now it's, it's what's happened to the rest of the market we're going to cleaner version so from search portals to Google to one liner from research hubs to the GPT.

And what we believe that the next trading platform phase will be a front and less trading platform.

OK, you have bridges on the bridges on the front, and it will be able to operate for the entire thing.

So you can say, What do you have to say about my portfolio?

Should I switch something?

Do I stand in my risk level that I wanted?

OK, if I want to to switch, which stock should I sell? which stocks should I, should I buy?

OK, buy it.

Do the, do the actual do the actual, uh, transaction and what we will always see that the aggentic level is just going to up, up, up, up until.

Instead of action based trading, you will have an intent.

And as an AI native company you have that agility to keep up with this rapidly evolving AI space and it's exactly that.

We don't need any excuse to bring AI.

We started as AI.

We're continuing as AI and everything we do. is while keeping the highest level of AI technology, so we will not try to create a new foundation model, but we are definitely ahead of the curve.

Oh, that was really interesting.

Thank you so much, Gabriel.

Thank you so much.

It was lovely to be here.