Plurai wants to help AI agents work better using the same approach that helped get self-driving cars to roads
AI-summarised brief · reviewed before publication
Plurai, a startup founded by former Nexar engineers, announced a $13 million seed round to improve AI agent reliability by applying simulation techniques used in autonomous driving. The company builds digital twins of a firm’s internal systems, mapping all agent interactions to generate synthetic data that trains smaller, open‑weight models tailored to specific business rules. Early tests with Nvidia and Nebius show these models outperform mid‑tier frontier models at lower costs, addressing the high failure rates and expense of current large‑language‑model agents.
💡 Why It Matters
- · By turning real‑world workflows into controllable simulations, Plurai offers a scalable path to deploy AI agents that respect company policies and reduce operational risk.