Code Story: Insights from Startup Tech Leaders
S12 Bonus: Yoav Crombie, Pragatix by AGAT Software
02 Apr 2026
Chapter 1: What inspired Yoav Crombie to enter the tech industry?
Before all of the chat GPT revolutions, we started by training our own AI model. We had a team in Ukraine of people that were manually classifying data. We started with an idea that today is so common of analyzing meeting and summarizing meetings and creating tasks. We called it Aggie Virtual Assistant, and it took a lot of efforts for us to integrate and to make it working.
But then a chat GPT revolution came, and it came so commodity and part of the teams and Zoom and any meeting platform as it integrated. So we had to trash it away, sadly. My name is Yoav Kronbe. I'm a co-founder and CEO of Agathe, who has developed Bragatics.
This is CodeStory. A podcast bringing you interviews with tech visionaries.
Chapter 2: How did Yoav's team adapt to the ChatGPT revolution?
Six months moonlighting. There's nothing on the back end. Who share what it takes to change an industry. I don't exactly know what to do next. It took many goes to get right. Who built the teams that have their back. A company is its people. The teams help each other achieve more. Most proud of our team. Keeping scalability top of mind.
Chapter 3: What challenges did businesses face in adopting AI?
All that infrastructure was a pain. Yes, we've been fighting it as we grow. Total waste of time. The stories you don't read in the headlines. It's not an easy thing to achieve, mind you. Took it off the shelf and dusted it off and tried it again. To ride the ups and downs of the startup life. You need to really want it. It's not just about technology. All this and more on Codestory.
Chapter 4: How does Pragatix ensure data security for AI implementations?
I'm your host, Noah Labpart. And today, how Yoav Krambe is building a platform centered around AI so you can have smarter workflows, fewer clicks, and full control. This episode is sponsored by Mesmo. If your team is collecting large volumes of logs, metrics, and traces, but still struggling to get timely answers, Mesmo can help.
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Chapter 5: What unique features does the AI suite offer to enterprises?
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Back in 2016, I was building my startup and went hunting for that perfect .com and found next to nothing. So I did what every founder does, settled. Here's what I wish someone had told me. You're building a tech startup.
Chapter 6: How does Yoav Crombie build and manage his team?
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Chapter 7: What lessons has Yoav learned from past mistakes in product development?
Yoav Cromby was born and raised in Israel, serving in the army for six years as an engineer. He's been in the tech industry for 35 years, but doesn't see this work as work. He thoroughly enjoys what he's doing, especially with what is going on with AI right now, specifically around the quick creation process. Outside of tech, he has been married for 30 years.
He loves water sports, kite surfing, regular surfing, and paddle boarding. In addition, he loves to cycle and was the Israeli road champion many years ago. Yoav realized that businesses were struggling to implement and adopt AI. In particular, he noticed that there was risk in publicly sharing data. But alongside that, other companies wanted more control of how AI functioned for their company.
So his company started to build a solution to solve both of these problems.
Chapter 8: What is the future vision for Pragatix and the AI industry?
This is the creation story of Progotics, a product of Agat software.
During my career, most of my time I worked around cybersecurity. And together with my current partner, we started by developing an application firewall. Specifically, it was for Skype for Business back then. It was a pretty vulnerable product installed on-prem and potentially could give access to attackers to enter the network.
Even before that, we started actually with developing a solution for securing emails on mobile. This technology was purchased by Symantec. It was 15 years ago, I think. So we are a lot in the cybersecurity and most of our experience is with highly regulated customers. We've been able to sell our application firewall back then to 25 Fortune 500.
While staying very lean company, very small, we never left our offices. All of our sales were done remotely, even before the age of COVID. 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.
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