FastLabel to Exhibit at AWS Village Physical AI at AWS Summit Japan 2026 OpenLUTRA, FastLabel's Open-Source Application for Reliable Data Collection, Now Supports Amazon S3 Integration

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, today announced that it will exhibit in the AWS Village Physical AI area at AWS Summit Japan 2026, one of Japan's largest technology conferences hosted by Amazon Web Services Japan G.K., to be held at Makuhari Messe on June 25 (Thursday) and 26 (Friday), 2026.

In conjunction with this exhibition, OpenLUTRA, our open-source application for reliable data collection in the Physical AI domain, now supports integration with Amazon S3. This enhancement enables data collected by individual robots in the field to be managed seamlessly in a centralized manner on Amazon S3, while also enabling advanced data curation leveraging cloud GPUs and integration with AI training pipelines.

Exhibition Highlights
At our booth, we will feature a live display of a semi-humanoid robot, followed by a demonstration of OpenLUTRA, our data collection application for robot training that supports integration with Amazon S3.

OpenLUTRA improves the quality of data collection through system monitoring and automated data quality validation, while providing flexible data management through integration with Amazon S3. We will showcase a data collection platform that seamlessly connects physical robots to the cloud.
We invite you to visit our booth A163.

AWS Summit Japan 2026 Overview
Organizer: Amazon Web Services Japan G.K.
Dates: June 25 (Thursday)–26 (Friday), 2026
Venue: Makuhari Messe (2-1 Nakase, Mihama-ku, Chiba City, Chiba, Japan)
Admission: Free (Advance registration required)
Details & Registration: https://aws.amazon.com/jp/events/summits/japan/

About OpenLUTRA
OpenLUTRA is an open-source application released by FastLabel for recording and analyzing the quality of data necessary for building AI models for robot control. Equipped with an intuitive UI/UX and a curation function based on automated quality judgment, it enables even non-engineers to conduct robot data collection and ensures the quality of the collected data. 

GitHub： https://github.com/fastlabel/open-lutra

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/robotics

Media Contact
Corporate Communications
FastLabel Inc.
E-mail: pr@fastlabel.ai