FastLabel株式会社

About FastLabel株式会社

FastLabel provides a high-quality annotation platform that specializes in creating and managing labeled datasets for AI applications, ensuring a data quality delivery rate of 99.7%. The service addresses the challenge of obtaining reliable training data by offering tailored annotation solutions, MLOps support, and access to over one million rights-cleared datasets.

```xml <problem> AI development is often hindered by the difficulty of obtaining high-quality, reliable training data. Existing solutions may lack the necessary quality controls, domain expertise, or efficient tools for creating and managing labeled datasets at scale. </problem> <solution> FastLabel provides an AI data platform and professional services designed to streamline the creation, management, and delivery of high-quality training data. The platform offers a suite of tools for annotation, data management, and MLOps, enabling efficient data labeling and model training workflows. FastLabel's professional services include annotation services with a claimed 99.7% data quality delivery rate, LLM dataset creation, data collection and sales of rights-cleared datasets, and model development and consulting services. By combining a comprehensive platform with expert services, FastLabel aims to accelerate AI development and improve model accuracy through a data-centric approach. </solution> <features> - Web-based annotation tool supporting images, videos, text, and audio data with hotkeys and standard format compatibility (YOLO, COCO, PascalVOC, VoTT, labelme). - Data management tools for version control, change tracking, and secure data management with access control. - MLOps platform for model training, evaluation, and experiment management with customizable parameters and reporting. - Professional annotation services with manual creation support and quality checks. - LLM dataset creation services specializing in Japanese language data. - Access to over one million rights-cleared datasets for machine learning. - Model development and consulting services for improving model accuracy. </features> <target_audience> FastLabel targets enterprise companies and academic/research institutions involved in AI development, particularly those working on computer vision, natural language processing, and generative AI applications. </target_audience> <revenue_model> FastLabel generates revenue through a combination of platform subscriptions, professional services fees (annotation, consulting, model development), and dataset sales. </revenue_model> ```

What does FastLabel株式会社 do?

FastLabel provides a high-quality annotation platform that specializes in creating and managing labeled datasets for AI applications, ensuring a data quality delivery rate of 99.7%. The service addresses the challenge of obtaining reliable training data by offering tailored annotation solutions, MLOps support, and access to over one million rights-cleared datasets.

When was FastLabel株式会社 founded?

FastLabel株式会社 was founded in 2020.

How much funding has FastLabel株式会社 raised?

FastLabel株式会社 has raised 1300000.

Founded
2020
Funding
1300000
Employees
32 employees
Major Investors
Mizuho Bank

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FastLabel株式会社

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Executive Summary

FastLabel provides a high-quality annotation platform that specializes in creating and managing labeled datasets for AI applications, ensuring a data quality delivery rate of 99.7%. The service addresses the challenge of obtaining reliable training data by offering tailored annotation solutions, MLOps support, and access to over one million rights-cleared datasets.

Funding

$

Estimated Funding

$1M+

Major Investors

Mizuho Bank

Team (30+)

No team information available.

Company Description

Problem

AI development is often hindered by the difficulty of obtaining high-quality, reliable training data. Existing solutions may lack the necessary quality controls, domain expertise, or efficient tools for creating and managing labeled datasets at scale.

Solution

FastLabel provides an AI data platform and professional services designed to streamline the creation, management, and delivery of high-quality training data. The platform offers a suite of tools for annotation, data management, and MLOps, enabling efficient data labeling and model training workflows. FastLabel's professional services include annotation services with a claimed 99.7% data quality delivery rate, LLM dataset creation, data collection and sales of rights-cleared datasets, and model development and consulting services. By combining a comprehensive platform with expert services, FastLabel aims to accelerate AI development and improve model accuracy through a data-centric approach.

Features

Web-based annotation tool supporting images, videos, text, and audio data with hotkeys and standard format compatibility (YOLO, COCO, PascalVOC, VoTT, labelme).

Data management tools for version control, change tracking, and secure data management with access control.

MLOps platform for model training, evaluation, and experiment management with customizable parameters and reporting.

Professional annotation services with manual creation support and quality checks.

LLM dataset creation services specializing in Japanese language data.

Access to over one million rights-cleared datasets for machine learning.

Model development and consulting services for improving model accuracy.

Target Audience

FastLabel targets enterprise companies and academic/research institutions involved in AI development, particularly those working on computer vision, natural language processing, and generative AI applications.

Revenue Model

FastLabel generates revenue through a combination of platform subscriptions, professional services fees (annotation, consulting, model development), and dataset sales.

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