
Who uses Labelbox?
AI training data platform: expert human labeling, LLM evaluation, RL environments and agent tooling for AI labs. labelbox.com
29
companies use Labelbox
29 companies use Labelbox. 7% are in Media & Publishing. Confirmed or observed customers include Meta, NASA, and Procter & Gamble. 20 of them are confirmed by a published case study, quote or press release.Latest check Oct 7, 2026: 29 of 29 companies checked, from 22 public sources.
- Category
- ML Ops & Training
- Customers by proof
- 20 confirmed, 9 observed
- Top industry
- Media & Publishing, 7% of customers
- Most similar
- Weights & Biases, 2 shared customers
- Website
- labelbox.com
What Labelbox does
Labelbox provides the data used to train and evaluate AI models, combining a labeling platform with a network of domain experts (Alignerr) who grade model outputs. Its newer products include Horizon for reinforcement-learning environments and evals, Terra for robotics data and Recursion for multi-agent engineering automation. Its customers page features Google Cloud, Meta, Walmart, Procter & Gamble and NASA JPL.
Written by usedby from labelbox.com.
Main features
Common uses
Works with
29 companies use Labelbox
Every company below links to the public page that shows it uses Labelbox. Open a row to see the dated capture.
Customers over time: appears once we have six months of archived captures.
| Company | Industry | Proof |
|---|---|---|
Meta | Media & Publishing | |
NASA | Aerospace & Defense | |
Procter & Gamble | Consumer Goods | |
Walmart | Retail | |
Warner Bros | Media & Publishing | |
Etsy | Marketplace | |
Pinterest | Marketing Tech | |
Criteo | Advertising & AdTech | |
Shutterstock | Streaming & Content | |
Advent Health Partners | — |
Is Labelbox right for your company?
See what companies in your industry use, from the companies we track. Pick your industry.
Of the 66 Media & Publishing companies on usedby, 2 are listed as Labelbox customers. 1 uses only another ML Ops & Training tool.
- Labelbox only, 2%
- Labelbox and another tool in ML Ops & Training, 2%
- Another tool in ML Ops & Training only, 1%
- No ML Ops & Training tool we can see, 95%
These are companies usedby tracks because a public page names them, often Labelbox's own customer page. It is not a market share. A company counts once, whatever the number of tools it uses.
What customers report
Results as published by Labelbox and its customers. Each one links to its dated source. We quote, we do not score.

2xfaster algorithm iteration in this domain
Move AIVendor case studyCaptured Oct 7, 2026
50%Reduction in average processing time to create
Blue River TechnologyVendor case studyCaptured Oct 7, 2026
30%+estimated total time saved from queue management
Cape AnalyticsVendor case studyCaptured Oct 7, 2026
10xcheaper expert training data
GenentechVendor case studyCaptured Oct 7, 2026
50%reduction in average cost to create training data
SharperShapeVendor case studyCaptured Oct 7, 2026
10 head countheadcount saved by implementing Labelbox rather
BurberryVendor case studyCaptured Oct 7, 2026
25%Estimated improvement in data accuracy
WalmartVendor case studyCaptured Oct 7, 2026
13 to 8 secondsAverage per-page classification and expert
Advent Health PartnersVendor case studyCaptured Oct 7, 2026
40%gain in expert data delivery speed
CriteoVendor case studyCaptured Oct 7, 2026
Read the story
AncestryVendor case studyCaptured Oct 7, 2026
Read the story
EdelmanVendor case studyCaptured Oct 7, 2026
Read the story
NayyaVendor case studyCaptured Oct 7, 2026What Labelbox has massively helped us with is fast iterations on our algorithms, helping us move twice as fast in this domain. The results we received from it are magnificent and their user interface is the best we’ve seen for supporting our training data efforts.Labelbox is so easy to use. The documentation is accessible, and the expert feedback pipeline is straightforward. We just had to upload our data, customize the editor to our exact requirements, and go. We had actually budgeted a week to get it set up, but we were done in a day.Before you buy Labelbox
What Labelbox publishes on the points buyers check first, each with its source and check date.
Questions to ask in your demo
- Which of your customers look like us, by industry and size?
- What does a pilot cost, and what decides the move to a full contract?
- Where is our data stored, who can access it, and is it used to train models?
- How does Labelbox work with the tools we already use?
Labelbox alternatives
Tools compared with Labelbox most often, with the customers they share.
| Tool | Customers | Shared with Labelbox | Compare |
|---|---|---|---|
Weights & Biases55 customers, 2 shared | 55 | 2 | Labelbox vs Weights & Biases |
H2O.ai42 customers, 0 shared | 42 | 0 | Labelbox vs H2O.ai |
Anyscale23 customers, 1 shared | 23 | 1 | Labelbox vs Anyscale |
Encord25 customers, 0 shared | 25 | 0 | Labelbox vs Encord |
DataRobot24 customers, 0 shared | 24 | 0 | Labelbox vs DataRobot |
Questions about Labelbox
Who uses Labelbox?
29 companies use Labelbox, including Meta, NASA, and Procter & Gamble.
Which industries use Labelbox?
The industries with the most Labelbox customers are Media & Publishing (2), Advertising & AdTech (1), and Aerospace & Defense (1).
What are the alternatives to Labelbox?
The tools compared with Labelbox most often are Weights & Biases (55 customers, 2 shared), H2O.ai (42 customers, 0 shared), Anyscale (23 customers, 1 shared), and Encord (25 customers, 0 shared). See all Labelbox alternatives.
How does usedby know who uses Labelbox?
Each company is linked to a public page that names it: Labelbox's customer page, a published case study, a press release or a job post. We save each page with a dated capture and check it again on each run. A company leaves the list only after three checks in a row that no longer find it, and at least 14 days after it was last seen. A company with a published case study or quote is never removed automatically.
What do confirmed, observed and signal mean?
Confirmed (20): a case study, a named quote or a press release. Observed (9): Labelbox shows the company on its own pages, for example a logo wall. Signal (0): a job post shows the company’s employees use Labelbox, the weakest proof. Every level counts as a customer, and each line shows its level.
How current is this list?
The most recent check was on October 7, 2026, and 29 of 29 companies on this list have been checked so far. A company leaves the list only after three checks in a row that no longer find it, and at least 14 days after it was last seen. A company with a published case study or quote is never removed automatically.
Changes and sources
New customers
No new customer yet. Tracking of Labelbox started on October 7, 2026. New customers appear after two complete checks of its pages.











