Plurai raises $13M to simulate AI agent edge cases

Startup Plurai has raised $13 million in seed funding to help AI agents operate more reliably by using simulation techniques derived from autonomous vehicle development. The company creates digital twins of a business's electronic systems to map agent flows, evaluate edge cases, and post-train smaller, cost-effective open-weight models. Co-founder Ilan Kadar notes that the platform is designed to work alongside existing agentic tools to address the unreliability and high cost of current frontier models. Open article →