Labelbox

OverviewSuggest Edit

Labelbox is a developer of software for data labeling processes needed to develop and maintain machine learning systems. The Company's product can be used for data annotation, data management, import new datasets, create and manage labeling tasks, and administer the way they are assigned to labelers.

TypePrivate
Founded2017
HQSan Francisco, US
Websitelabelbox.com

Latest Updates

Employees (est.) (May 2020)63(+7%)

Key People/Management at Labelbox

Manu Sharma

Manu Sharma

Founder & CEO, Director
Daniel Rasmuson

Daniel Rasmuson

Founder & CTO
Brian Rieger

Brian Rieger

Founder & COO, Director
Nathana Sharma

Nathana Sharma

General Counsel
Anna Patterson

Anna Patterson

Director
Audrey Smith

Audrey Smith

Director of Labeling Operations
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Labelbox Office Locations

Labelbox has an office in San Francisco
San Francisco, US (HQ)
501 Treat Ave, San Francisco
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Labelbox Financials and Metrics

Summary Metrics

Founding Date

2017

Labelbox total Funding

$38.9 m

Labelbox latest funding size

$25 m

Time since last funding

4 months ago

Labelbox investors

Labelbox's latest funding round in February 2020 was reported to be $25 m. In total, Labelbox has raised $38.9 m
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Labelbox Online and Social Media Presence

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Labelbox News and Updates

Labelbox Raises $25M Series B Led By Andreessen Horowitz

About twenty months ago, Manu Sharma and a couple of friends started a company called Labelbox and launched it on Reddit.

Labelbox raises $10 million for its services to support machine learning applications

Labelbox, a provider of services to create, manage, and maintain data sets for machine learning applications, has raised $10 million in a new round of funding. The financing came from Gradient Ventures, Google’s AI-focused venture fund, with participation from previous investors, Kleiner Perkins, Fi…

Labelbox Blogs

Asking Good Questions Isn’t the First Step to Building Enterprise ML, It’s Step 0

Machine learning can help make tasks that are too large to solve with humans profitable. Learn why asking good questions is key to building enterprise machine learning models.

Labelbox November Updates

A new label editor, copy & paste functionality, GDPR compliance, and more about the team we're building at Labelbox.

Case study: Image Labeling with JavaScript

This post will describe how to design a system for labeling objects on an image by a human. I will show you how to use React, 2d canvas and Konva framework to make an app that allows you to highlight objects. Also, I will cover some edge cases specific to that task.

Building the Labelbox Team

We're not just product builders, we are team builders too. Meet some of our new Labelbox teammates and learn about the expertise we're investing in.

Labelbox October Updates

We've made improvements to our label editor for October including nested questions, an opacity slider for labels, and an improved review metrics overview.

Introducing Python SDK beta

Python is the most common programming language used by data scientists and the machine learning community at large. In order to enable easier workflows for those most comfortable with Python, we set out to create a pip package that you can install and use out of the box.
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Labelbox Frequently Asked Questions

  • When was Labelbox founded?

    Labelbox was founded in 2017.

  • Who are Labelbox key executives?

    Labelbox's key executives are Manu Sharma, Daniel Rasmuson and Brian Rieger.

  • How many employees does Labelbox have?

    Labelbox has 63 employees.

  • Who are Labelbox competitors?

    Competitors of Labelbox include Datumize, Eureka and Stardog.

  • Where is Labelbox headquarters?

    Labelbox headquarters is located at 501 Treat Ave, San Francisco, San Francisco.

  • Where are Labelbox offices?

    Labelbox has an office in San Francisco.

  • How many offices does Labelbox have?

    Labelbox has 1 office.