Labelbox
AI training data platform for the full ML pipeline
About Labelbox
Labelbox is the training data platform used by AI teams to build, manage, and iterate on the datasets that power their models. It provides annotation tools, data curation, model diagnostics, and a workforce management system — used by Google, Genentech, and hundreds of ML teams to build production-quality AI faster.
Labelbox website preview
Company facts
- Category
- AI
- Funding stage
- Series D
- Total raised
- $188M
- Founded
- 2018
- Team size
- 200–500
- HQ
- San Francisco
- Country
- USA
- Website
- labelbox.com
Founders of Labelbox
- Manu Sharma
- Brian Rieger
- David Cahn
Investors backing Labelbox
- SoftBank
- Andreessen Horowitz
- Kleiner Perkins
Frequently asked questions
What does Labelbox do?
Labelbox is the training data platform used by AI teams to build, manage, and iterate on the datasets that power their models. It provides annotation tools, data curation, model diagnostics, and a workforce management system — used by Google, Genentech, and hundreds of ML teams to build production-quality AI faster.
Where is Labelbox based?
Labelbox is based in San Francisco, USA.
When was Labelbox founded?
Labelbox was founded in 2018.
How much has Labelbox raised?
Labelbox has raised $188M in their Series D round.
Who founded Labelbox?
Labelbox was founded by Manu Sharma, Brian Rieger, David Cahn.
Who has invested in Labelbox?
Labelbox is backed by SoftBank, Andreessen Horowitz, Kleiner Perkins.