Labelbox logo
AIVC-backedSeries D
San Francisco, USA · Founded 2018

Labelbox

AI training data platform for the full ML pipeline

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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.

Pitch deck breakdown

How Labelbox would pitch themselves.

○ Auto-generated
01

Target customer

The full ML pipeline — the core audience Labelbox's product is built around.

02

Problem 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.

03

Key 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.

04

Go-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.

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Labelbox website preview

Screenshot of Labelbox (labelbox.com) — AI training data platform for the full ML pipeline

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.

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