Yoav Crombie

And today is pretty straightforward to do everything remote.

Back then, it wasn't a common approach, but I liked it.

I like where I live.

I like to go surfing, cycling.

I don't like traveling.

And I'm happy I managed to build a company around that.

So we started with these type of solutions with getting good understanding of what does it mean, highly regulated companies.

And what does it mean to deploy a product on-prem and all these firewall restrictions and heavy bureaucracy and procedures and pen tests?

It's a big challenge to deploy a product in large enterprises, but once you're there, it's typically pretty sticky, so they don't end up changing you very quick.

Realizing these companies having struggled to adopt AI once AI revolution started, it hit us with the idea that we can offer them a platform that enables to use or implement AI in a secure and private way.

So the concerns we've seen with our customers are that while using AI, you expose all your data to the model, obviously, and that is a very big restriction or risk, I would say.

for our type of customers, especially if you're talking about all of your company data being known, let's say, to some AI model outside of your control.

For other companies, it was not allowed because of regulations or contracts they signed, like military.

But there's also even a population of customers that don't even have any internet access because they are so secure.

So these type of customers came to us and brought the idea

How can we enable AI still protecting our data?

The other related problem is companies that are comfortable in a way of using public AI like chat GPT and so on, but had to have visibility and control to what is done with AI, what is the level of sensitivity of the content shared, and to have visibility and control.

And this is exactly what Pragatik offers.

It offers two approaches.

For customers that are highly secure, we offer the AI suite, we call it.