Cleanlab
Cleanlab is the AI data curation platform that automatically finds and fixes errors in ML training datasets. Its algorithms detect label errors, outliers, and data issues that corrupt model training — improving accuracy by 10–50% without collecting more data. Used by AI teams at AWS, Google, and hundreds of companies building production ML models.
- Location
- San Francisco, USA
- Raised
- $30M
- Stage
- Series B
- Founded
- 2021
- Category
- AI
- Funding
- VC-backed
- Team
- 10–50
Funding figures as of Jul 2025 · not independently verified
Founders of Cleanlab
- Jonas Mueller
- Anish Athalye
Investors backing Cleanlab
- Bain Capital Ventures
- Databricks Ventures
Frequently asked questions
What does Cleanlab do?
Cleanlab is the AI data curation platform that automatically finds and fixes errors in ML training datasets. Its algorithms detect label errors, outliers, and data issues that corrupt model training — improving accuracy by 10–50% without collecting more data. Used by AI teams at AWS, Google, and hundreds of companies building production ML models.
Where is Cleanlab based?
Cleanlab is based in San Francisco, USA.
When was Cleanlab founded?
Cleanlab was founded in 2021.
How much has Cleanlab raised?
Cleanlab has raised $30M in their Series B round as of Jul 2025.
Who founded Cleanlab?
Cleanlab was founded by Jonas Mueller, Anish Athalye.
Who has invested in Cleanlab?
Cleanlab is backed by Bain Capital Ventures, Databricks Ventures.
How Cleanlab would pitch themselves
○ Auto-generated01Target customer
Trustworthy training data — the core audience Cleanlab's product is built around.
02Problem they solve
Cleanlab is the AI data curation platform that automatically finds and fixes errors in ML training datasets. Its algorithms detect label errors, outliers, and data issues that corrupt model training — improving accuracy… The category has historically been served by tools that miss the modern workflow this product is built around.
03Key differentiator
Cleanlab differentiates on ai data quality platform for trustworthy training data. Backed by Bain Capital Ventures + Databricks Ventures, $30M raised — the company has resources + validation to compound this thesis. Founded by Jonas Mueller + team.
04Go-to-market strategy
Growth-stage GTM — multi-channel revenue motion (direct enterprise sales, channel partnerships, marketplace listings). Vertical specialisation + verticalised AE teams targeting enterprise + mid-market.