FastLabel Inc. (Headquarters: Shinjuku-Ku, Tokyo; President and CEO: Takeshi Suzuki; hereinafter “FastLabel”), a company supporting the development of robot foundation models and domain-specific Vision-Language-Action (VLA) models, has launched “Data Factory Operations,” a solution that supports the setup and operation of data production factories (hereinafter “Data Factories”), which are essential for the development of robot foundation models. The solution is based on the expertise FastLabel has gained through operating Physical AI data research and development facilities spanning more than 1,000 square meters in Tokyo. Leveraging our track record of producing more than 10,000 cumulative hours of Physical AI data and handling more than 300,000 cumulative episodes, we provide comprehensive support—from data production planning to on-site operations and organizational development—to Physical AI development companies and institutions seeking to establish Data Factories for large-scale data production, thereby accelerating the real-world deployment of Physical AI. FastLabel’s Track Record and Background Behind the Launch of the Solution With its Physical AI data research and development facilities spanning more than 1,000 square meters in Tokyo serving as its operational base, FastLabel has developed the systems and processes needed to sustain large-scale data production. Through this operational base, FastLabel has produced more than 10,000 hours of data comprising over 300,000 episodes.FastLabel has also systematically standardized each operational requirement, including robot operation, improvements in data collection efficiency, ensuring consistent work during long recording sessions, and aligning annotation specifications across multiple tasks. Through these efforts, FastLabel has established a reproducible operational model capable of consistently producing high-quality, large-scale datasets. About “Data Factory Operations,” a Solution Supporting the Setup and Operation of Data Factories “Data Factory Operations” is a solution that provides end-to-end support, from the establishment of a Data Factory, which is essential for robot foundation model development, to steady-state operations and data utilization. The solution is characterized by its ability to provide practical roadmaps and implementation support tailored to each company’s stage, from conceptual planning to large-scale data production. Support Services Data Factory establishment consulting Data production planning Development of data collection systems and processes Data collection support, including operator and manager assistance Data pipeline development FastLabel’s Physical AI Data Research and Development Facilities: Physical AI Data R&D Center FastLabel operates the following two Physical AI data research and development facilities, supporting activities from research and development to large-scale data collection. ■ Collaborative R&D for Humanoid & Industrial Robots: FL Physical AI Lab This facility serves as a base for conducting joint research and technology development with customers. Equipped with development environments featuring semi-humanoid and industrial robots, the facility enables customers to work closely with FastLabel on Physical AI research and development, from designing data collection processes to developing models. ■ Large-scale Data Collection: FL Data Factory This facility specializes in collecting the large-scale datasets required for Physical AI development. Through a data collection system that uses operator-controlled teleoperation, the facility consistently collects the large volumes of high-quality data needed to train AI-powered robots. Future Outlook In the field of Physical AI, while fast-paced research and development toward practical application is accelerating, many challenges remain from research to commercialization,including securing the large volumes of high-quality data required for training and preparing robots and work environments. Going forward, FastLabel will focus on addressing these challenges through “Data Factory Operations” and steadily support the real-world deployment of Physical AI. About FastLabel FastLabel, Inc. is committed to building data infrastructure that enables data-centric AI development. The company provides end-to-end support across the AI development lifecycle, including data collection and generation, annotation, model development, and DataOps implementation. In recent years, FastLabel has expanded its focus to the field of physical AI, including robotics, and has been developing data pipelines that support the creation of robot foundation models and Vision-Language-Action (VLA) models. Company Overview Company Name: FastLabel Inc. Headquarters: Shinjuku Sumitomo Building 24F, 2-6-1 Nishi-Shinjuku, Shinjuku-ku, Tokyo, Japan Representative: Takeshi Suzuki, President and CEO Business: Provider of professional services and products supporting Data-centric AI development Website: https://fastlabel.ai/service/roboticsMedia Contact Corporate Communications FastLabel Inc. E-mail: pr@fastlabel.ai