Startup profile · funding coverage
Labelbox
Data labeling and training-data platform for machine learning teams.
Stage
growth
Status
private
Coverage
full
Why Labelbox is interesting
Labelbox sits under every supervised ML stack — data quality remains a bottleneck even in the LLM era.
Key facts
- Series B (Feb 2020): $25M led by a16z — Labelbox press
- Series C (Feb 2021): $40M led by B Capital with First Round, Kleiner Perkins, a16z — Labelbox press
Investors in our directory
Funds linked from Labelbox's profile — open a fund page for stage focus and related deal articles.
Industries
AI & Machine Learning Enterprise SaaS
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FAQs about Labelbox
Funding context and why this company shows up in venture coverage.
Labelbox is a training-data platform where ML teams label, curate, and manage datasets for supervised learning and LLM fine-tuning.
Andreessen Horowitz (see /fund/andreessen-horowitz) led the Series B; B Capital Group (/fund/b-capital-group) led the Series C; First Round (/fund/first-round) and Kleiner Perkins (/fund/kleiner-perkins) participated.
Labelbox raised a $40M Series C in February 2021 led by B Capital, after a $25M Series B led by a16z in 2020.
Model quality depends on training data; Labelbox addresses the labeling bottleneck that persists even in the LLM era.
Labelbox remains private as of July 2026.
Last updated: 2026-07-24