This startup is using self-driving car tech to make AI agents more reliable

AI agents often fail at complex, multi-step tasks in real business environments. Benchmarks show even top models like Claude and ChatGPT struggle, achieving only 70-80% accuracy on tasks involving multiple systems. Startups are trying to solve this reliability problem.

A new company called Plurai, founded by veterans from the autonomous driving space, has raised $13 million to apply the simulation techniques used to train self-driving cars to AI agents. Their platform creates a digital twin of a company's systems to map all possible agent actions, pre-train for edge cases, and improve accuracy. This approach could finally make AI assistants reliable enough for unsupervised business tasks.