Serve Robotics Opens Fleet Software and Data to Physical AI Companies

What happened

Serve Robotics announced Physical AI Services on November 5, 2026, making its robot-connectivity, data-curation and real-world training-data tools available to other companies building physical AI. The company says it has deployed more than 2,000 robots in more than 40 cities and 27 hospitals, and that Physical AI Services already powers thousands of vehicles across a dozen industries.

From Fleet Data to Training Data Serve Data Curator addresses the volume of information produced by deployed robots. Bedrock Robotics, which develops autonomous systems for heavy construction equipment, is among the launch customers.

The three-product suite productizes infrastructure Serve built while expanding its own operations. Those include construction, mining, autonomous trucking and Serve’s sidewalk food-delivery fleet, giving the offering an operating base that spans different machines and environments.

“Building a robot is only the beginning. Keeping thousands of them connected, learning and improving requires another layer of technology,” said co-founder and CEO Ali Kashani. Connectivity and Fleet Supervision Serve Link connects machines in the field to models, monitoring and training systems as more physical AI computation moves into data centers (a building full of computers that runs online services).

Its functions include task management, unit-status monitoring, remote assistance for exception handling, data collection and hard-example mining. Bedrock operates with Link to connect equipment over Wi-Fi, LTE, 5G and satellite networks.

The Physical AI Services documentation says the software can bond 4G, 5G, Wi-Fi, satellite and private cellular connections, predicts optimal transmission logic to avoid buffering, and is designed to reduce latency (the delay between asking for something and getting it), processing time and compute overhead while running on almost any hardware.