Plurai raises $13M to make AI agents more reliable through simulation

The New York startup stress-tests AI agents with synthetic scenarios before they reach real users AI agents are everywhere in pitch decks. In production, they are still the coworker you cannot leave alone with the client. Plurai, a startup building what it calls a reliability platform for AI agents, has raised $13 million, according to TechCrunch. The company’s thesis is that agents fail in the wild because nobody tested them against enough of the wild first. The problem is easy to state. Agents asked to handle complex, multi-step work generally are not dependable enough to run without a human watching closely. TechCrunch’s reporting points to benchmarking efforts on complex agent tasks, referencing an 8% accuracy figure. That is not the performance profile of a system you hand the keys to.

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