Labelbox Logo
Labelbox Logo


Labelbox is a platform for AI/ML Data. “The data engine for AI”. Data curation, AI-assisted labeling, model training & diagnostics, and labeling services, all in one platform, to build better AI products.

Labelbox is a competitor to Diffgram.

Address: Parking lot, 510 Treat Ave, San Francisco, CA 94110. A Software company in San Francisco, California.

Labelbox Annotate

This is a data labeling tool covering:

  • Image
  • Video
  • Text
  • Document
  • Audio
  • Medical
  • Geospatial
  • Custom

According to Labelbox, it is: “Designed to give you complete visibility and control of every aspect of your labeling operations, … gives you the right annotation solution for every task”

Compare to Diffgram Annotate.

Labelbox Crunchbase & Funding

According to crunchbase: it’s a collaborative data training platform that creates and manages labeled data for machine learning applications.

Number of Funding Rounds 6Total Funding Amount $188.9M

Jan 6, 2022Series D6$110MSoftBank Vision Fund
Feb 11, 2021Series C 7$40MB Capital Group
Dec 8, 2020Venture Round1In-Q-Tel
Feb 4, 2020Series B 4$25MAndreessen Horowitz
Apr 9, 2019Series A4$10MGradient Ventures
Jul 30, 2018Seed Round3$3.9MKleiner Perkins


Overall rating of 4.0 out of 5, based on over 45 reviews left anonymously by employees. 74% of employees would recommend. Previously had a rating of 3.5 out of 5.

Interviews at Labelbox, 50% had a Negative experience.

  • 50% Negative
  • 25% Neutral
  • 25% Positive

Labelbox Blind

Example review of 2/5 stars.


Access Labelbox Docs here.

Docs cover:

Import data from any source and annotate the data types you need including images, video, text, documents, audio, medical imagery, and tiled imagery/geospatial data.


Catalog allows you to visualize and search for your raw unlabeled data, metadata, labeled ground truth, and model inferences in one place. No need to waste time and resources building and maintaining infrastructure just to view your data.

You can use Catalog to search for labeled and unlabeled data using filters for metadata, model inferences, and other attributes. Send this batch of data directly to a labeling project in just a few clicks.

Similar to Diffgram Catalog


Import data from any source and annotate the data types you need including images, video, text, documents, audio, medical imagery, and tiled imagery/geospatial data.

Similar to Diffgram Annotate








Labelbox Linkedin

A complete solution for taking control of your training data with fast labeling tools, human workforce, data management, a powerful API


Labelbox Sign In

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Labelbox Compared to Diffgram

Labelbox and Diffgram highlights some key considerations for enterprise software executives. This is for Training Data (Data Labeling, Annotation) for unstructured data.


The three major differences are:

  • Development System
  • Standards
  • Business Model

Diffgram is the standard for commercial Open Source training data. If there’s one thing to remember about Diffgram, it’s Standards.

With Diffgram, you are investing in a growing Standard. In something people list as a known skillset, a known standard technology. A standard that is inter-operable between small and large enterprises. A standard between teams at your company. A standard that is community validated, language agnostic, and open.

Try Diffgram Today.

The Open Source Data Annotation Tool For All Training Data.

Leverage Diffgram Unlimited

From annotations to automations, Diffgram’s Unlimited model aims to deliver a truly Unlimited experience.

Learn more about Diffgram


Explore, Discovery, and Use your Unstructured Data

Search and visualize all of your unstructured data in one place. All your data, metadata, labels, and predictions at your fingertips you can make better decisions to unblock your AI initiatives.


Unlock an ecosystem of tools. Surface your training data processes. Take your training to the next level.