Speaker 2
All right, so today we have Ilan Kadar, co-founder and CEO of Plurai, which you can find at plurai.ai. And the taglines are, deliver reliable, impactful agents faster, and simulation and optimization to quickly scale from prototype to production with confidence. But more importantly for this episode, we're going to talk about their open source project, Intelligent, which you can find on GitHub. It's spelled I-N and then agent. And the description of Intelligent, the open source project is it's a framework for comprehensive diagnosis and optimization of agents using simulated, realistic, synthetic interactions. And with that long-winded interaction, Ilan, welcome to the podcast.
Speaker 1
Thank you, Ben. So happy to be here. Really love your podcast. And now to be on the other side and talking about our exciting open source, it's very cool to be here. Thank you for inviting me.
Speaker 2
All right. So let's start with the basics. So what problem are you trying to solve?
Speaker 1
Yeah. So the problem that we're seeing in the market is that on the one hand that we see a lot of companies that would like to deploy and leverage the power and capability of agents and to put them in production. But on the other end, due to the major barrier that we are seeing now is mainly performance quality and trust. People do not trust an agent. So they are pretty scared to move from prototype to production. And the main reason for that, like also its performance quality. if you look on the land graph line chain for a public state of agents recently you see the major the major barrier 50 percent of the company stuck in the prototype phase due to performance quality and trust and and this is the main issue i think that is slowing down the adoption of agents and we see here a really missed opportunity because the potential with agents is so huge. It can disrupt really the industry. But on the other hand, if you don't trust something, you won't deploy it in production. And also you can miss this huge opportunity. So this is the main problem that we're trying to tackle.
