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