Cleanlab

Cleanlab

Data-centric AI software for trusted LLMs

Overview

Cleanlab provides data-centric AI software that automatically curates and cleans data and knowledge used to train or prompt LLMs, helping enterprises ensure trusted AI outputs. It analyzes datasets to detect label noise, data quality issues, and problematic content, offering automated remediation and optional human-in-the-loop review, and it can be plugged into existing data pipelines. Its emphasis on data quality across data collection, labeling, and knowledge sources sets it apart from model-focused approaches, with proven deployments at Fortune 500 companies. The goal is to make AI responses more reliable by ensuring the underlying data and knowledge are accurate, consistent, and trustworthy.

About Cleanlab

Simplify's Rating
Why Cleanlab is rated
C
Rated C on Competitive Edge
Rated B on Growth Potential
Rated D+ on Differentiation

Industries

Data & Analytics

Enterprise Software

Cybersecurity

AI & Machine Learning

Company Size

11-50

Company Stage

Series A

Total Funding

$30M

Headquarters

San Francisco, California

Founded

2021

Simplify Jobs

Simplify's Take

What believers are saying

  • Co-founders Curtis Northcutt, Jonas Mueller, and Anish Athalye lead Handshake's AI research.
  • Handshake serves eight major AI labs including OpenAI with high hundreds millions ARR.
  • Acquisition integrates Cleanlab tech into Handshake's $3.3B-valued data labeling platform.

What critics are saying

  • Handshake acqui-hire dissolves Cleanlab, causing investor losses for Menlo Ventures.
  • Apache-2.0 license commoditizes tech, enabling Scale AI to replicate algorithms freely.
  • Nine key employees depart to Handshake, eliminating Cleanlab's independent operations.

What makes Cleanlab unique

  • Cleanlab pioneered confident learning algorithms during Curtis Northcutt's MIT PhD.
  • Algorithms automatically flag incorrect data without secondary human reviewers.
  • Open-source package achieved over one million downloads by Fortune-100 companies.

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Funding

Total Funding

$30M

Above

Industry Average

Funded Over

2 Rounds

Notable Investors:
Series A funding typically happens when a startup has a product and some customers, and now needs funding to scale. This money is usually used to grow the team, expand marketing, and improve the product. Venture capital firms are frequently the main investors here.
Series A Funding Comparison
Above Average

Industry standards

$15M
$8.2M
Discord
$15M
Canva
$25M
Cleanlab
$30M
Kalshi

Growth & Insights and Company News

Headcount

6 month growth

-2%

1 year growth

2%

2 year growth

8%
TechCrunch
Jan 28th, 2026
Handshake acquires Cleanlab for $30M-backed data labeling quality tech

AI data labelling startup Handshake has acquired Cleanlab, a data label auditing company, in a talent-focused deal. The acquisition adds nine Cleanlab employees, including three MIT PhD co-founders Curtis Northcutt, Jonas Mueller and Anish Athalye, to Handshake's research organisation. Founded in 2021, Cleanlab had raised $30 million from investors including Menlo Ventures and Bain Capital Ventures. The startup developed algorithms that flag incorrect data without human reviewers. Cleanlab received acquisition interest from multiple AI data labelling companies but chose Handshake because competitors like Scale AI and Surge use Handshake's platform to source human experts. Handshake, valued at $3.3 billion in 2022, serves eight major AI labs including OpenAI and is targeting annualized revenue in the "high hundreds of millions" this year.

AI Finder Guru
Jan 28th, 2026
Handshake Acquires Cleanlab in Strategic AI Data Labeling Talent Acquisition

Handshake acquires Cleanlab in strategic AI data labeling talent acquisition. Handshake originated in 2013 as a service focused on recruiting recent college graduates. Approximately a year ago, the company expanded its operations by establishing a human data labeling division designed to support companies building foundational AI models. Meanwhile, Cleanlab was founded in 2021 as a software startup specializing in tools that enhance the quality of data generated by human labelers. The primary objective of this acquisition is to secure talent, making it essentially an acqui-hire. The transaction will bring nine key employees from Cleanlab into Handshake's research division. This group includes the startup's three co-founders, all of whom hold PhDs in computer science from MIT: Curtis Northcutt (pictured above), Jonas Mueller, and Anish Athalye. Specific financial terms of the deal have not been made public, though it is worth noting that acqui-hires can sometimes result in substantial financial outcomes for founders. Cleanlab had secured a total of $30 million in funding from investors such as Menlo Ventures, TQ Ventures, Bain Capital Ventures, and Databricks Ventures. At its height, the startup employed more than 30 people. The team at Cleanlab are specialists in creating algorithms that can identify incorrect data entries without requiring a secondary human review. This expertise is expected to significantly boost the quality of the data Handshake supplies to AI laboratories. "We maintain an internal research team that continuously evaluates where our models have weaknesses, what kind of data we should be generating, and how to ensure its high quality," a representative noted. "The Cleanlab team has dedicated years to solving these precise challenges." Curtis Northcutt, the CEO of Cleanlab who is recognized for pioneering automated data labeling audits, mentioned that the company attracted acquisition interest from other firms in the AI data labeling sector. However, Cleanlab opted to join Handshake because, as Northcutt explained, competing data labeling companies like Mercor, Surge, and Scale AI regularly use Handshake's platform to recruit specialized professionals - including doctors, lawyers, and scientists - for their labeling projects. Handshake, which achieved a valuation of $3.3 billion in 2022, was projected to reach an annualized revenue run rate of $300 million by the end of 2025. Recent reports indicate the company is now on course to achieve an ARR in the "high hundreds of millions" this year. To date, Handshake has supplied data to eight leading AI labs, one of which is OpenAI.

Business Wire
Sep 16th, 2025
Cleanlab Partners with Corridor Platforms to Ensure Trustworthy Customer Support AI for Financial Services

Cleanlab partners with Corridor Platforms to ensure trustworthy customer support AI for financial services.

Business Wire
Sep 17th, 2024
Cleanlab Emerges with $5 million to Automate Data Curation for LLMs and the Modern AI Stack

Today Cleanlab, the automated solution for boosting the accuracy of enterprise artificial intelligence (AI), LLM, and analytics solutions, announced i

RTInsights
Apr 28th, 2024
Real-time Analytics News for the Week Ending April 27

Cleanlab launched the Trustworthy Language Model (TLM), which is a fundamental advance in generative AI that the company says can detect when large language models (LLMs) are hallucinating.

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