Bowintec Raises Nearly RMB 300 Million in Pre-A Financing to Bring Embodied AI Into Real Factories

Bowintec has completed nearly RMB 300 million in Pre-A financing, accelerating the development and deployment of industrial embodied AI solutions for real-world manufacturing environments.

The round was led by Yuanhe Chenkun, with continued support from existing shareholders including Boyuan Capital and Bosch Ventures. It also attracted participation from multiple industrial and financial investors, including Yuanhe Holdings, Jingu Capital, and Dongrong No. 1 Capital.

The new funding will support the mass production of Bowintec's first self-developed industrial embodied AI robot, the expansion of industrial data collection, the development of its model and platform capabilities, and broader market deployment.

For Bowintec, this financing represents more than a corporate milestone. It reflects a broader shift in the embodied AI industry: as robots move beyond laboratories, exhibitions, and demonstration videos, industrial customers and investors are increasingly focused on one core question - can embodied AI deliver reliable value in real factories?

From Demonstration to Industrial Deployment

In recent years, embodied AI has attracted strong attention across the robotics and artificial intelligence industries. Much of the early discussion centered on model capabilities, data scale, and technological potential. Today, the industry is entering a more practical phase.

Manufacturers are asking different questions. Can a robot be deployed at an actual workstation? Can it operate reliably over long periods of time? Can it match production takt time? Can it handle changes in materials, tasks, and environments? Can it create measurable return on investment?

These questions define the next stage of industrial embodied AI.

Factories are already highly automated in many areas. Robotic arms, AGVs, AMRs, and automated production lines have been widely used for years. Yet many real manufacturing processes remain difficult to automate, especially scattered, flexible, and non-standard operations such as sorting, assembly, quality inspection, loading and unloading, palletizing, and line-side material handling.

These tasks are not always difficult because of a single complex movement. They are difficult because real factory environments are variable, workflows are fragmented, and the cost of line modification must be carefully controlled. Traditional automation often struggles to address these scenarios in a flexible and cost-effective way.

This is where industrial embodied AI can create meaningful value.

Bowintec's Approach: Built for Real Industrial Scenarios

Bowintec was founded to connect advanced embodied AI technology with real manufacturing needs.

The company is not positioned as a pure robot hardware manufacturer, nor simply as an AI model company. Instead, Bowintec is building an industrial embodied AI system platform driven by real factory scenarios, industrial data closed loops, robotic hardware, and digital platforms.

Its development roadmap follows an integrated "hardware + platform + model" approach. By combining robotic hardware, industrial vertical models, task management platforms, and data-driven iteration, Bowintec aims to deliver solutions that can be deployed, validated, and replicated across different workstations and industries.

This approach is closely connected to Bowintec's founding ecosystem.

Boyuan Capital and the Bosch ecosystem provide access to real industrial scenarios, engineering expertise, manufacturing know-how, and global verification standards. Bosch's global manufacturing footprint and deep Industry 4.0 experience offer Bowintec a strong foundation for understanding how advanced technologies must perform in production environments.

Galbot contributes cutting-edge embodied AI foundation models, robotics technologies, and data infrastructure capabilities, supporting Bowintec's development in perception, cognition, manipulation, and model post-training.

Together, these resources enable Bowintec to build not only robots, but a closed-loop industrial delivery system covering scenario understanding, product definition, data collection, model training, equipment deployment, feedback iteration, and scalable replication.

RoboFab: Validating Products Inside Real Factories

One of Bowintec's key initiatives is the RoboFab Embodied Intelligence Joint Laboratory, established in cooperation with UAES, a leading automotive electronics supplier jointly founded by Bosch Group and SAIC Motor.

RoboFab focuses on complex manufacturing processes in automotive electronics. Bowintec engineers work closely with UAES technical teams on-site to define, test, and iterate product solutions based on real production requirements.

This model is central to Bowintec's product philosophy. Rather than developing robots in a closed environment and then looking for use cases, Bowintec starts from real workstations, real materials, actual production takt time, and operational standards.

In industrial embodied AI, a successful demonstration is only the beginning. Manufacturing customers care about long-term stability, safety, compatibility with existing production lines, maintenance costs, exception handling, and overall production efficiency.

By validating products in authentic industrial environments from the earliest stages, Bowintec is building capabilities that are shaped by real-world operating conditions. The goal is not only to prove technical feasibility, but to develop solutions that can withstand the complexity of production and be replicated at scale.

From General Intelligence to Job-Specific Expertise

A general embodied AI model can provide perception, reasoning, and basic manipulation capabilities. But factories require more than general intelligence. They need robots that can understand specific tasks, follow process standards, adapt to workstation constraints, and perform reliably under industrial conditions.

Every factory has its own layouts, materials, tools, workflows, and quality requirements. This means industrial deployment requires scenario-specific data collection, model training, motion verification, process tuning, and continuous feedback.

Bowintec's first self-developed product, the BW10-Lite, has completed prototype verification and is being optimized for small-batch production and long-duration operation in industrial scenarios. The product is designed for high-frequency, repetitive, and flexible tasks such as handling, palletizing, and loading and unloading.

At the same time, Bowintec is developing industrial vertical models for sectors including automotive, new energy, home appliances, and logistics. The company is also building an industrial embodied AI task management platform and an integrated data and model training platform.

For Bowintec, hardware, models, platforms, and scenarios are not separate modules. They are interdependent elements that evolve together through real project delivery.

Building Replicable Industrial Delivery Capabilities

The true value of industrial embodied AI lies not in a single robot or one successful demonstration, but in the ability to deliver repeatable solutions across multiple workstations, factories, and industries.

This is also what makes industrial embodied AI commercially attractive. In high-labor-cost, repetitive, multi-shift production environments, robots can create clear economic value by improving efficiency, reducing dependence on manual labor, and lowering operational uncertainty. Unlike many consumer-facing applications, industrial scenarios often have measurable ROI logic and clearer customer decision-making processes.

Bowintec's long-term opportunity lies in combining real scenario access, closed-loop data capabilities, engineering delivery, and global scalability.

Through the Open Bosch initiative and its broader industrial ecosystem, Bowintec has the potential to access international factory networks and industrial expertise. Global expansion is not simply about exporting robots. It requires replicating validated workstation solutions, data systems, deployment methodologies, and service capabilities across different markets while meeting global industrial standards.

Defining the Next Stage of Industrial Embodied AI

The embodied AI industry is full of technological ambition. The next phase will be defined by companies that can turn that ambition into reliable industrial deployment.

Bowintec's nearly RMB 300 million Pre-A financing reflects growing confidence in delivery-oriented industrial embodied AI. It also reinforces the company's strategic direction: bringing robots into factories to perform real production work.

Looking ahead, Bowintec will continue to focus on several key priorities: converting proof-of-concept projects into stable commercial deployments, expanding from single-workstation validation to multi-scenario replication, improving reliability and cost efficiency, and building scalable delivery capabilities for both Chinese and global manufacturing customers.

Bowintec's mission is to empower the global manufacturing workforce. By integrating embodied AI models, robotic hardware, industrial platforms, and real factory data, the company aims to make intelligent robots a practical, scalable, and trusted part of next-generation manufacturing.

Its ambition is clear: to become a global leader in industrial embodied AI and help define the standards for Industry 4.0.