FastLabel Launches Full-Scale Physical AI Business and Establishes New Robotics AI Division
FastLabel Inc. has officially entered the Physical AI market, establishing a dedicated Robotics AI Division to strengthen its consulting and technical development for robot foundation models and VLA models.
📋 Article Processing Timeline
- 📰 Published: April 2, 2026 at 01:00
- 🤖 AI Analyzed: June 2, 2026 at 12:57 (1475h 57m after Published)
FastLabel Inc. (Headquarters: Shinjuku-ku, Tokyo; CEO: Takeshi Suzuki), a leader in supporting the development of robot foundation models and domain-specific VLA (Vision-Language-Action) models, has announced the full-scale launch of its Physical AI business for domestic and international clients. Along with this expansion, the company has established a new Robotics AI Division to enhance its consulting and technical development capabilities.
[Background of the New Organization]
Following the rapid advancement of Generative AI, 'Physical AI'—AI that interacts with the real world—is gaining significant global attention as the next frontier. Previously, FastLabel focused on building data infrastructures for AI development, particularly large-scale data construction and annotation. In response to the growing trend in Physical AI and following the establishment of the FastLabel R&D Center to promote AI robotics research, the company has now formed the Robotics AI Division. This new unit will support clients' AI robotics development and data pipeline construction through strengthened consulting and technical expertise.
[About the New Organization]
Name: Robotics AI Division
Establishment Date: April 1, 2026
General Manager: Hiroki Fujiwara (Executive Officer & COO, FastLabel Inc.)
Department Heads: Kenichiro Tsukamoto (Business Development Dept.), Yudairo Miyake (Data Solution Dept.)
Objective: To develop and provide the latest solutions in the data domain by integrating technical development and consulting services for the AI robotics field.
[Launch of New Logo and Landing Page]
With the establishment of the new organization, FastLabel has released a dedicated business logo and landing page.
Business LP: https://fastlabel.ai/service/robotics
[Future Outlook]
The Robotics AI Division will assist clients in building data pipelines that support the development of robot foundation models and VLA models. FastLabel aims to continue advancing its data creation and management infrastructure for AI robotics, contributing to improved research efficiency and the acceleration of social implementation.
[About FastLabel]
FastLabel Inc. specializes in building data infrastructures for Data-centric AI development, providing end-to-end support from data collection and generation to annotation, model development, and DataOps construction. Recently, the company has focused on Physical AI, including robotics, promoting the construction of data pipelines for robot foundation models and VLA models.
Company Name: FastLabel Inc.
Location: 24th Floor, Shinjuku Sumitomo Building, 2-6-1 Nishi-Shinjuku, Shinjuku-ku, Tokyo
Representative: Takeshi Suzuki, President & CEO
Business: Professional services and products supporting Data-centric AI development.
URL: https://fastlabel.ai/service/robotics
[Background of the New Organization]
Following the rapid advancement of Generative AI, 'Physical AI'—AI that interacts with the real world—is gaining significant global attention as the next frontier. Previously, FastLabel focused on building data infrastructures for AI development, particularly large-scale data construction and annotation. In response to the growing trend in Physical AI and following the establishment of the FastLabel R&D Center to promote AI robotics research, the company has now formed the Robotics AI Division. This new unit will support clients' AI robotics development and data pipeline construction through strengthened consulting and technical expertise.
[About the New Organization]
Name: Robotics AI Division
Establishment Date: April 1, 2026
General Manager: Hiroki Fujiwara (Executive Officer & COO, FastLabel Inc.)
Department Heads: Kenichiro Tsukamoto (Business Development Dept.), Yudairo Miyake (Data Solution Dept.)
Objective: To develop and provide the latest solutions in the data domain by integrating technical development and consulting services for the AI robotics field.
[Launch of New Logo and Landing Page]
With the establishment of the new organization, FastLabel has released a dedicated business logo and landing page.
Business LP: https://fastlabel.ai/service/robotics
[Future Outlook]
The Robotics AI Division will assist clients in building data pipelines that support the development of robot foundation models and VLA models. FastLabel aims to continue advancing its data creation and management infrastructure for AI robotics, contributing to improved research efficiency and the acceleration of social implementation.
[About FastLabel]
FastLabel Inc. specializes in building data infrastructures for Data-centric AI development, providing end-to-end support from data collection and generation to annotation, model development, and DataOps construction. Recently, the company has focused on Physical AI, including robotics, promoting the construction of data pipelines for robot foundation models and VLA models.
Company Name: FastLabel Inc.
Location: 24th Floor, Shinjuku Sumitomo Building, 2-6-1 Nishi-Shinjuku, Shinjuku-ku, Tokyo
Representative: Takeshi Suzuki, President & CEO
Business: Professional services and products supporting Data-centric AI development.
URL: https://fastlabel.ai/service/robotics
FAQ
What is the goal of FastLabel's new 'Robotics AI Division'?
The goal is to provide end-to-end technical development and consulting in AI robotics, supporting the construction of data pipelines for Robot Foundation Models and VLA models.
What specifically is Physical AI?
Physical AI refers to AI that interacts with the real world. It includes models that understand visual information and language instructions to generate specific robotic actions.
What are VLA models?
VLA stands for Vision-Language-Action. These are next-generation AI models that integrally understand images and language to generate precise physical movements for robots.