YZi Labs Leads $52M Round to Back RoboForce and the Rise of Physical AI Robotics

YZi Labs Deepens Investment in the Physical AI Sector

(Source: yzilabs)

YZi Labs, a leading investment institution, recently announced it is spearheading a $52 million funding round for Silicon Valley AI robotics firm RoboForce. This investment not only delivers capital support but also signals YZi Labs’ strong conviction in the long-term prospects of Physical AI. Alongside financial backing, YZi Labs Managing Partner Ella Zhang will join the RoboForce Board of Directors.

Targeting Labor Gaps in High-Intensity Industries

RoboForce’s primary mission is to address the workforce shortages impacting multiple industries.

Key sectors include:

• Renewable energy (such as solar construction)

• Data centers and AI infrastructure

• Logistics and transportation

• Mining and manufacturing

These roles share several defining traits:

• High risk and intensity

• Highly repetitive tasks

• Challenging work environments

RoboForce refers to this as a gap between industry growth and workforce supply, aiming to close it through advanced robotics technology.

TITAN: AI Robotics for Industrial Environments

RoboForce’s flagship product, the TITAN robot, is engineered for extreme industrial settings.

Its main features include:

• Millimeter-level precision operations

• Sustained, high-intensity performance

• Adaptability to outdoor heat and complex terrain

(The TITAN Robot by RoboForce)

This system exemplifies “Physical AI,” highlighting that AI is not confined to the digital domain but can directly engage in real-world production.

Backed by Elite Engineering Teams

Established in 2023, RoboForce’s team includes experts from top institutions and companies such as Carnegie Mellon University, University of Michigan, Amazon Robotics, Google, Waymo, Cruise, Tesla Robotics, ABB, and Apple.

Co-founder Leo Ma has contributed to autonomous driving technologies and founded the autonomous driving company CYNGN, bringing substantial AI and robotics expertise.

AI Data Flywheel: Driving Continuous Robot Evolution

RoboForce’s technical foundation lies in its “Data Flywheel” architecture.

The operational cycle is as follows:

1. Robots execute tasks in real-world environments

2. Large volumes of operational data are collected

3. Data is fed back to AI models for training

4. Next-generation robot performance is enhanced

This iterative process enables the robotic system to continuously improve over time, creating scalable advantages.

Strategic Partnership with NVIDIA

RoboForce has formed a close collaboration with NVIDIA, utilizing several of its AI infrastructure solutions:

• Jetson Thor (edge computing)

• Isaac Sim / Isaac Lab (simulation and training)

• Cosmos (synthetic data generation)

• OSMO (cloud and edge coordination)

NVIDIA CEO Jensen Huang also highlighted RoboForce at the GTC conference, citing it as a prime example of AI-driven industrial applications.

Demonstrated Market Demand

RoboForce has secured over 11,000 robot letters of intent (LOI) and is progressing from pilot deployments to large-scale production.

This underscores clear market demand for automated industrial labor solutions, particularly in large-scale solar construction, mining and resource extraction, and major logistics operations where efficiency and safety are paramount.

Four Reasons for YZi Labs’ Investment

YZi Labs led this funding round based on four crucial considerations:

1. Strong execution by founders

The team possesses hands-on experience deploying complex systems and a deep understanding of industry requirements.

2. Engineering advantages

Cross-disciplinary technical integration gives the product a competitive edge in real-world applications.

3. Clear market demand

Industrial workforce shortages are a global challenge, with vast market potential.

4. Technological maturity

Advances in edge computing, simulation, and AI models are enabling Physical AI to achieve commercial viability.

Use of Funds and Future Strategy

The funding will be directed toward three main objectives:

• Strengthening AI models and the Data Flywheel system

• Expanding robot production and deployment capabilities

• Accelerating commercialization, moving pilots into real-world applications

For YZi Labs, this investment marks a strategic shift from digital economy infrastructure to broader expansion in AI and biotechnology.

The Next Phase of Physical AI

As AI technology transitions from software to hardware, real-world applications are rapidly expanding. RoboForce is pioneering a future where AI is not just a data processing tool, but an active participant in construction and production.

Conclusion

YZi Labs’ investment in RoboForce is more than support for a single company—it reflects strong market interest in the growth potential of Physical AI. As labor shortages in the industrial sector intensify, AI and robotics solutions are becoming essential. With technological progress and scaled deployment, companies like RoboForce are positioned to play a vital role in energy, manufacturing, and infrastructure, and may redefine human–machine collaboration.