What FastLabel does

FastLabel is a Japanese AI data-infrastructure company founded in 2020 and headquartered in Shinjuku-ku, Tokyo, that supplies high-quality, large-scale training data to enterprise AI developers through a dual professional-services and SaaS model. The company operates FastLabel Data Factory, a cloud-based platform that integrates dataset management, multi-modal annotation tooling (image, video, audio, text, 3D point cloud, and VLM/multimodal data), and MLOps capabilities for model training and evaluation. Proprietary features include auto-annotation via built-in or user-defined models, differential data version management, one-click data traceability from annotation through training, and team quality-management dashboards. The company also offers OpenLUTRA, an open-source ROS 2-based robot data recorder released in May 2025 with Amazon S3 integration for cloud GPU pipeline connectivity.

FastLabel monetizes through three streams: (1) outsourced annotation services with unit-based pricing (e.g., ~5 yen per rectangle for images, ~350 yen per audio minute, ~15 yen per cubic meter for LiDAR point clouds), (2) annual SaaS subscriptions to FastLabel Data Factory, and (3) sales of rights-cleared pre-built datasets. The company has served over 200 enterprises across automotive (Toyota, Woven by Toyota, DENSO, AISIN, Tier IV), manufacturing (Kawasaki Heavy Industries, Mitsubishi Heavy Industries), electronics (Sony, Sharp, RICOH, Mitsubishi Electric), telecommunications (NTT DOCOMO, LINE Yahoo), and AI-native firms (Sakana AI, Stockmark, CyberAgent, NABLAS). Distribution combines direct enterprise field sales in Japan with a self-serve free tier of the platform and GitHub-distributed open-source tooling.

The company has raised approximately $25M+ across disclosed rounds — Genesis Ventures seed (March 2021), JAFCO-led Series A (August 2022, ~$3.5M), MPower Partners / Salesforce Ventures-led Series B (November 2023, ~$7.8M), and Panasonic-led Series B extension first close (September 2024, ~$13M) — with a Mizuho Bank facility in March 2025. Recent strategic moves concentrate on Physical AI: a dedicated Robotics AI Business Headquarters (April 2026), partnerships with ugo, RealMan Robotics, MW, Tokyo Robotics, and selection for METI/NEDO's GENIAC national project and AWS Japan's Physical AI Development Support Program. The company holds ISO/IEC 27001:2013 certification and runs on AWS Tokyo infrastructure.

Name

FastLabel

Legal name

FastLabel Inc.

Website

https://fastlabel.ai

Company type

Private

Founded year

2020

Operating status

Operating

Headcount range

51–100 employees

Short description

FastLabel is a Tokyo-based AI data-infrastructure company, founded in 2020, that provides professional annotation services, a multi-modal SaaS platform (FastLabel Data Factory), and open-source robotics tooling to help Japanese enterprises build high-quality training datasets for autonomous driving, robotics, generative AI, and perception AI applications.

Ownership category

akta.pro rank

Product category

AI Data Platform / AI Training Data Services

NAICS

Custom Computer Programming Services (541511), Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services (51821)

SIC

Services-Prepackaged Software (7372), Services-Computer Programming, Data Processing, Etc. (7370)

akta.pro primary industry

Annotation Tooling & Workflow Management (HDAAALAC)

akta.pro secondary industries

End-to-End Enterprise AI Platforms (MLOps & Model Lifecycle Management) (HDAEANAA), Model Development & Training Platforms (AutoML, Notebooks, Feature Stores) (HDAEANAB)

Keywords

• AI training data
• Data annotation services
• AI data platform
• MLOps tooling
• 3D point cloud annotation

Headquarters

HQ city

Nishi

HQ country

Japan

HQ region

Asia

Offices1 record

Markets served

GTM type

B2B

Offering type

Software

Cost components

Personnel, Technology or R&D, Operations, Marketing or Sales, Infrastructure

Revenue model

1. Professional Services: Annotation outsourcing services, data collection, and model development consulting provided by professional staff. Includes annotation services for images, videos, 3D point clouds, audio, text, and LLM/VLM data. Data collection services for new recordings and dataset provision.
2. SaaS Platform (FastLabel Data Factory): Cloud-based AI data platform subscription for dataset management, annotation tools, and MLOps. Offers data management tools, annotation tools, and model training/evaluation capabilities. May include free tier for certain features.
3. Dataset Sales: Sale of pre-cleared, high-quality datasets including images, videos, audio, and text data for AI training purposes. Data with rights cleared from content owners for legal and ethical usage.

Pricing tiers

Go-to-market motion2 records

Distribution channels4 records

Marketing channels6 records

Core offering

FastLabel provides high-quality, large-scale AI training data through a dual-track model combining professional annotation services with a proprietary SaaS platform, FastLabel Data Factory. The platform integrates dataset management, multi-modal annotation tools (image, video, text, audio, 3D point cloud, VLM/multimodal), and MLOps capabilities supporting end-to-end training data preparation for AI development across automotive, robotics, manufacturing, healthcare, and generative AI use cases.

Product overview

FastLabel operates a dual-axis model combining professional AI data services with a proprietary AI data platform. The core product is FastLabel Data Factory, a cloud application that integrates Data Management Tools, Annotation Tools, and MLOps Tools to manage the entire AI development data workflow. Professional services include annotation outsourcing for image, video, 3D point cloud, audio, text, and LLM/VLM data; data collection services; generative AI development data creation (instruction tuning, RAG, fine-tuning); model development support and data consulting; and domain-specific solutions for autonomous driving, perception AI, and robotics. FastLabel Robotics (including OpenLUTRA) extends the platform into Physical AI with VLA model data pipelines. The company targets enterprises developing AI in autonomous driving, robotics, medical, manufacturing, and generative AI sectors.

Differentiator

Problem solved

Functional benefit

Brands

• FastLabel Data Factory: AI development data platform providing dataset management tools, annotation tools for various data specifications, and MLOps tools.
• OpenLUTRA (ルトラ)

Products and services

• FastLabel Data Factory Cloud-based AI data platform providing dataset management tools, annotation tools for various data specifications, and MLOps tools. Covers all unstructured data types for training data preparation with intuitive UI/UX usable by non-engineers, supporting secure data sharing across departments and companies. Targeted at enterprise AI development teams in automotive, robotics, manufacturing, and generative AI.
• Annotation Outsourcing Services (アノテーション代行) Managed annotation service covering image, video, 3D point cloud, LLM/VLM, audio, and text data. Supported annotation types include bounding boxes, circles, polygons, polylines, keypoints, lines, segmentation, pose estimation, classification, and grids. Delivered with proprietary quality management processes based on production management concepts, addressing domain knowledge-intensive requirements.
• Data Collection Services AI training data collection services including image, video, audio, and text data collection. Supports new shoots with professional photographers/voice actors, crowdsourced collection, data partner procurement, and specialized personnel for domain expert data creation. Targets enterprise AI development teams that need fresh, rights-cleared training data.
• Generative AI Development Data Creation Services for generative AI development including instruction tuning data creation, RAG data preparation, multimodal RAG data, and fine-tuning services. Also provides LLM/VLM datasets for Japanese language models. Targets foundation model developers like Sakana AI, NABLAS, Stockmark, LINE Yahoo, and CyberAgent.
• Model Development Support & Data Consulting End-to-end consulting and implementation support from project planning through data collection, model development, and evaluation. Supports data-centric consulting, accuracy improvement from a data-centric perspective, and model development through the 0-to-1 phase. Targets enterprise teams needing data strategy guidance.
• Autonomous Driving Data Solutions Specialized AI data solutions for autonomous driving including 2D/3D large-scale annotation, LiDAR/camera data collection, driving data annotation for AD/ADAS, vehicle/signal/sign recognition, and driver monitoring annotation. Demonstrated 40% work time reduction through auto annotation for autonomous driving data.
• Perception AI Data Solutions Data solutions for perception AI including data collection for facial recognition, sports analytics, voice AI, and text AI; annotation services; and consulting for model accuracy improvement. Supports industrial inspection, healthcare AI, and agricultural AI applications.
• FastLabel Robotics (AI-Powered Robotics Data Solutions) Robotics data pipeline solutions supporting VLA (Vision-Language-Action) model development for Physical AI. Includes data strategy design, continuous data pipeline building and operation, and data asset accumulation for robot foundation models. Selected for METI/NEDO GENIAC national project for implicit knowledge AI-readyization technology.
• OpenLUTRA (Open-Source Robot Data Recorder) ROS 2-based open-source data recorder application for reliable robot data collection in Physical AI development. Features intuitive UI/UX, real-time system monitoring, automated quality validation, and Amazon S3 integration for cloud GPU pipeline connection. Distributed via GitHub for self-service download.
• Rights-Cleared Dataset Sales Sale of pre-cleared, high-quality datasets including images, videos, audio, and text data for AI training purposes. Data with rights cleared from content owners for legal and ethical usage. Supports both off-the-shelf stock datasets and new commissioned recordings.

Quantifiable outcome

• Image recognition accuracy improved by 30% for agricultural harvesting robot AI
• +3 more outcomes

Named customers27 records

Segments5 records

Ideal customer profiles5 records

Technology focussed Yes

API detail

Has API

Yes

API docs

API detail

Core technology

AI maturity

App detail

Integration1 record

AI capability11 records

Feature8 records

Partnerships

Twelve partnerships are on record, tiered notable, key and core.

• Tokyo Distribution Center (TRC)notableStrategic or Co-development Partner · 22 June 2026Joined the Heiwajima Autonomous Driving Council based at TRC. Participating with 50 organizations to advance autonomous driving technology and solve logistics industry challenges.
• MWkeyStrategic or Co-development Partner · 3 June 2026FastLabel and MW signed a basic agreement (MoU) for 'Housing and Housework AI Robot Development'. Collaboration to deliver highly capable AI robots that automate household chores.
• Major Japanese Automobile OEMkeyStrategic or Co-development Partner · 15 May 2026Selected for METI/NEDO's GENIAC national project in partnership with a major Japanese automobile OEM. Research on implicit knowledge AI-readyization technology for physical AI applications.
• RealMan RoboticsnotableStrategic or Co-development Partner · 3 April 2026FastLabel and RealMan Robotics signed a global strategic partnership for physical AI. Partnership aims to support VLA model development through world-class robot training data provision.
• ugokeyStrategic or Co-development Partner · 1 April 2026FastLabel and ugo formed a business partnership for AI robotics including joint R&D and system integration. Also jointly offering 'ugo VLA Model Development Training Program' using domestic humanoid robots.
• AWS JapankeyTechnology or Integration · 3 March 2026Selected for 'Physical AI Development Support Program by AWS Japan'. Exhibiting at AWS Summit Japan 2026 AWS Village Physical AI area. OpenLUTRA integrates with Amazon S3.
• Tokyo Robotics Inc.notableStrategic or Co-development PartnerCollaboration with Tokyo Robotics for AI-powered robotics data solutions. Partner testimonial citing deep expertise in AI development and efficient data collection within short timeframes.
• Waseda University (Dr. Tetsuya Ogata)notableStrategic or Co-development PartnerExpert perspective partner providing academic validation for FastLabel's robotics data solutions. Contributes to Japan's robotics industry by providing high-quality data for VLA models.
• MW, Inc.notableStrategic or Co-development PartnerPartner collaborating on household AI robot development. By collaborating with FastLabel as a premier data provider, aims to deliver highly capable AI robots.
• AWScoreTechnology or IntegrationData and resources located in Japan on AWS Instance Tokyo. Standard integration with AWS, GCP, and Azure storage for seamless AI training infrastructure connectivity.
• NVIDIAnotableTechnology or IntegrationFastLabel's next-generation AI data curation technology exhibited at NVIDIA GTC 2026. Focus on adapting to large-scale data processing for physical AI development.
• W&B JapannotableStrategic or Co-development PartnerCo-presented at W&B Japan's 'Physical AI Development Ecosystem' event alongside NVIDIA and Yamaha Motor. Discussed data collection challenges and project examples in AI robotics development.

Scale indicators5 records

Recent moves6 records

Expansion highlights6 records

Direct peers

• Labelbox: SaaS platform for data labeling, dataset management and model evaluation aimed at computer vision and generative AI teams. Closest software-only analog to FastLabel Data Factory.
• Encord: Data development platform for multimodal AI including images, video, audio and DICOM, with active learning-driven labeling. Comparable scope to FastLabel's annotation tools across unstructured data types.
• Sama: Provider of high-quality annotated data for computer vision and foundation model customers with a focus on ethical/specialized annotation labor. Comparable to FastLabel's professional services arm.
• SuperAnnotate: Annotation platform for multimodal AI with strong computer vision and LLM data tooling, plus managed annotation services. Direct competitor in FastLabel's core annotation tooling market.
• Snorkel AI: Data-centric AI platform combining programmatic labeling, weak supervision and MLOps for enterprise foundation model development. Closest peer to FastLabel's MLOps + data-centric consulting offering.
• Roboflow: End-to-end computer vision data platform combining annotation tools, dataset management and deployment. Comparable to FastLabel's image/video/3D point cloud annotation and dataset management modules.
• Scale AI: Largest independent AI training data platform offering annotation services and tooling across images, video, text and 3D for foundation model and autonomous driving customers. Direct competitor to FastLabel's annotation services and Data Factory platform, though at significantly larger global scale.
• CloudFactory: Managed annotation workforce and AI data platform serving enterprise AI teams. Comparable to FastLabel's outsourced annotation services line for vision and text.
• Appen: Global data annotation and dataset provider serving enterprise AI teams across automotive, technology and consumer verticals. Highly comparable to FastLabel's professional services line, particularly for speech/text and perception AI datasets.

Broad incumbents

• AWS (SageMaker Ground Truth): Hyperscaler-provided data labeling and MLOps services within the broader SageMaker stack. Indirect competitor via FastLabel's AWS-native deployment, and increasingly direct as AWS bundles labeling into its Physical AI program.

Market position

Strengths5 records

Weaknesses5 records

Competitive moat5 records

Key risks6 records

Key highlights7 records

Customer concentration

• GitHubgithub.com/fastlabel/open-lutra
• Xx.com/fastlabelai
• LinkedInlinkedin.com/company/fastlabel

Compliance2 records

Revenue estimate

Valuation estimate

Number of profiles

Profiles9 records

Funding overview

Funding rounds6 records

Investors11 records

Funding detail is available on the Subscription and Enterprise plan.Contact sales →

M&A

Investments

M&A and investment is available on the Subscription and Enterprise plan.Contact sales →

Frequently asked questions about FastLabel