FastLabel Inc. (Headquarters: Shinjuku-ku, Tokyo; CEO: Takeshi Suzuki; hereinafter “FastLabel”), a company that supports the development of robot base models and domain-specific VLA models, announces the expansion of its business into the AI robotics field, in addition to its existing operations, as well as the establishment of a new R&D center dedicated to the generation and collection of training data. Through this expansion, FastLabel will produce large-scale data essential for VLA model research and development as part of its AI robot data solutions. The company aims to support enterprises advancing AI robotics initiatives and contribute to the overall advancement of development in the AI robotics sector.【Background of the Business Expansion and AI Robotics Data Solutions】The global and Japanese robotics markets are expected to experience significant growth over the next five to ten years. In this environement, AI-integrated AI robotics is anticipated to expand beyond traditional industrial robot applications and be adopted across a wide range of sectors, including manufacturing, construction, logistics, healthcare, and services. AI robotics is increasingly recognized as a key technology for addressing major societal challenges such as a shrinking workforce, improving productivity, and enhancing workplace safety. As a result, investment in AI Robotics by companies and research institutions contunies to accelerate. Despite this momentum , significant hurdles remain before practical implementation can be achieved. These include uncertainties in conceptualization and requirements definition during the early stages of development, the costs and time associated with hardware procurement, limited availability of large-scale and high-precision data for training, constraints in computing resources , and inefficiencies in real-world operational verification. These factors often hinder many companies' initiatives from progressing from research to commercialization. To address these challenges, the company provides AI robot data solutions encompassing “Concept Formulation and Requirements Definition Support,” “Robot Procurement,” “Robot Setup and Operational Environment Construction,” “AI Robot Data Collection and Generation,” “Computing Resource Optimization,” and “Robot Operational Testing.” Through these solutions, the company aims to generate the large-scale data sets essential for training in VLA model R&D, shorten the path from research and development to real-world implementation, and accelerate the commercialization of companies' technologies.【About Our Newly Established R&D Center】In line with its business expansion, the company has establisheda new R&D center dedicated to the generation and collection of training data. To efficiently generate and collect data at scale, it is essential to manage the entire process seamlessly - from robot procurement and setup to the preparation of work environments and the development of mock-ups. The establishment of this facility enables the company to provide comprehensive support to enterprisesdvancing AI robotics development.