FastLabel operates a teacher/training-data creation business and an annotation-tool platform, delivering both outsourced annotation services and software tools to support data-centric AI development. The company offers end-to-end support across the AI data workflow, including managed services and consulting alongside its tooling. Since its formal product release in October 2021, FastLabel reports over 32 million cumulative annotations and more than 6,700 users, and has supported AI development at over 100 companies. FastLabel was founded in January 2020. Financially, the company has been fundraising through venture rounds and recently completed a Series B that increased its cumulative funding to ¥1.675 billion. The firm plans to expand its service lineup into the generative AI area, creating training and evaluation data for generative-model training and selling rights-cleared datasets for generative AI. FastLabel builds an integrated platform for creating AI training data, offering a SaaS that includes annotation automation, quality control, project management, and model training/evaluation. The company also provides data-creation outsourcing, data consulting, and model development services. Its users are mainly large Japanese companies in manufacturing, construction, telecommunications/infrastructure, and IT services; the platform exceeded 1,000 registered workspaces within its first year after launch. Founded in January 2020, FastLabel plans to expand platform capabilities by creating and supplying industry-specific datasets and embedding models trained on those datasets. The company aims to evolve into an AI platform that supports end-to-end development and operations (MLOps) and to use the new funding to accelerate those efforts. FastLabel intends to grow headcount to about 40 employees by next autumn. Cumulative funding now totals ¥525M.

Total raised

$11M

Funding rounds

2

Latest round

Series B

Latest activity

Nov 2023