The Neolithic unmanned vehicle has released the AI agent NeoClaw, which can manage the vehicle fleet with just one sentence.

According to 1M AI News monitoring, Chinese autonomous delivery company Neolix has released the AI agent NeoClaw, bringing AI to frontline scenarios such as fleet management, complex task scheduling, and operational data analytics, aiming to make managing multiple autonomous vehicles as simple as “one sentence—AI will help arrange everything.”

As the autonomous delivery industry continues to scale up and deploy, it has become common for frontline operations staff to manage dozens or even hundreds of vehicles at the same time. However, traditional operations models rely on manual legwork and spreadsheet accounting, and the human-in-charge approach has a natural upper limit on the management radius. As the fleet size expands, operators will also face the dilemma of “diseconomies of scale”—personnel costs keep increasing, management complexity rises, and operational efficiency actually declines. In addition, when companies enter new cities, they often need to rebuild local teams, train new hires, and fine-tune processes. This traditional way of simply adding manpower is not only slow, but operational performance also varies from city to city, which will drive up total costs such as the operating expenses of autonomous vehicles.

With NeoClaw’s built-in core operational capabilities such as fleet management, vehicle control, and data querying and analytics, whether it is directing autonomous vehicles to deliver packages, opening multiple vehicles at scale, or handling more complex tasks like batch-identifying vehicle status, arranging charging, and analyzing operational data, users only need to tell NeoClaw what they want to do, and NeoClaw can help users complete it effortlessly. Currently, NeoClaw has been launched first in certain areas such as Qingdao in China, and will later expand to more regions.