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.
- Location
- San Francisco, USA
- Raised
- $188M
- Stage
- Series D
- Founded
- 2018
- Category
- AI
- Funding
- VC-backed
- Team
- 200–500
Funding figures as of Jul 2025 · not independently verified
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 as of Jul 2025.
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.
How Labelbox would pitch themselves
○ Auto-generated01Target customer
The full ML pipeline — the core audience Labelbox's product is built around.
02Problem they solve
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 s… The category has historically been served by tools that miss the modern workflow this product is built around.
03Key differentiator
Labelbox differentiates on ai training data platform for the full ml pipeline. Backed by SoftBank + Andreessen Horowitz, $188M raised — the company has resources + validation to compound this thesis. Founded by Manu Sharma + team.
04Go-to-market strategy
Late-stage scale — global enterprise sales force, channel + reseller partnerships, vertical-specific go-to-market motions. Focus on land-and-expand within existing accounts + international expansion.