Plurai raises $13M seed funding to improve AI agent reliability using self-driving car simulation techniques; creates digital twins to train specialized models that outperform frontier AI at lower costs.

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

AI agents are all the rage, but they’re not quite as capable as their purveyors would have you believe. Efforts to benchmark agents tasked with complex work show that they aren’t typically reliable enough to function without close supervision. LiveBench 2.0 shows Claude Fable 5.2 and ChatGPT-6 Astra succeeding on 82.9 and 75.6 out of 100 tasks, respectively, and an effort by the AI infrastructure company EON to test agents in a simulated corporate environment found the most successful model test...