Plurai wants to help AI agents work better using the same approach that helped get self-driving cars to roads

Plurai aims to improve AI agent reliability by using simulations with synthetic data to prepare models for complex tasks. The startup's approach is inspired by the techniques used to train self-driving cars. Plurai's co-founders, Ilan Kadar and Elad Levi, previously worked for Nexar and Waymo, respectively, and have experience in autonomous driving technology. They have raised $13 million in seed funding to develop their simulation layer for AI agents.