Bowintec raises RMB 300M for industrial embodied AI robots
The Bosch and Galbot joint venture is building BW10-Lite for factory assembly, inspection and handling workflows; the round funds robot mass production, industrial data collection and model-platform development.
Bowintec has raised nearly RMB 300 million, about $42 million, in Pre-A funding to accelerate industrial embodied-AI robot production, data collection and model-platform development. The round was led by Oriza FOFs, with existing shareholders including Boyuan Capital and Bosch Ventures making additional investments.
The Company
Bowintec was established in June 2025 as a joint venture between Boyuan Capital, the market-oriented investment platform under Bosch Group, and Galbot, a Chinese embodied-AI company. The company was created to move embodied-AI systems into manufacturing environments, with a focus on complex assembly, intelligent quality inspection, loading and unloading, and other manual processes where conventional automation is rigid, expensive to migrate or difficult to adapt.
Bosch brings manufacturing knowledge, industrial scenario access and global factory resources through Boyuan and the OpenBosch ecosystem. Galbot contributes dexterous robotics, simulation training and general-purpose model capabilities. Bowintec sits between the two, turning the technology and factory access into products that can be validated on real production tasks.
The Robot
Bowintec’s first self-developed product is BW10-Lite, an industrial embodied-intelligence robot designed for dual-arm operation, repeatable manipulation and fast workstation switching. The company says the prototype has completed verification and can cover more than 60 percent of manual assembly scenarios. A higher-payload BW10 version is planned for release in 2026, extending the product line toward industrial handling and sorting tasks.
BW10-Lite is displayed as using a four-wheel, four-steer mobile chassis that supports omnidirectional and crab-style movement, with an 8 kilogram payload per arm, six cameras, eight ultrasonic sensors, one LiDAR and dual hot-swappable batteries for continuous operation.
The Industrial Route
Bowintec’s route to market is built around factory access before broad commercial rollout. In June 2025, Bosch China, Boyuan Capital and United Automotive Electronic Systems signed a memorandum to establish RoboFab, an embodied-intelligence robot joint laboratory focused on perception, operational control and system deployment in automotive manufacturing processes. The lab is designed to connect algorithm models, robot systems and production-line iteration in one loop.
Instead of presenting BW10-Lite as a general robot for every factory task, the company is starting with bounded manufacturing workflows where the robot can be trained, tested and iterated against repeatable station-level work. Reported customer interest covers automotive parts, logistics sorting and related manufacturing categories, with cumulative intended orders described as reaching hundreds of millions of dollars.
The Model Layer
Bowintec is also building around a hardware, platform and model structure rather than a standalone robot body. The company is developing an industrial embodied vertical model and intelligent task-management platform alongside BW10-Lite, using industrial data collection and model training as part of the funding plan. The broader formation materials say Galbot’s simulation training and synthetic-data pipeline will support a standardized and replicable training and deployment system.
It appears they are trying to build a repeatable industrial system where factory data, task software, manipulation models and hardware iteration reinforce each other.
Maturity
Bowintec has moved quickly from formation to prototype verification and commercial validation, but the public evidence is still narrow. BW10-Lite has completed prototype verification, RoboFab gives the company a named industrial validation environment, and the funding is aimed at mass production of the first self-developed robot. Public materials do not yet show broad customer-side performance data, delivered fleet size, repeat deployment economics or confirmed production volumes.
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