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Labelbox is the simplest platform to train and operate machine intelligence.

Labelbox was founded in early 2018 with a mission to enable organizations to rapidly build artificial intelligence to power the next generation of products and services. The founders of Labelbox experienced first hand the pain of trying to rely on developing and maintaining in-house tools, but also the acceleration and benefits of having a really good one.

Labelbox currently enables many enterprises to easily create and manage data labels for building machine learning applications. You can leverage Labelbox to significantly reduce data labeling costs by eliminating your need to build and maintain in-house machine learning infrastructure.

Learn more at labelbox.com
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Customer Success Manager

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Machine Learning Data Specialist

Senior Fullstack Software Engineer

Latest Stories and News

Seattle startup DefinedCrowd lands $50M to help Mastercard, BMW, others improve their AI services

  • GeekWire
  • this week
  • Seattle startup DefinedCrowd - that is filling the need in reliable data for Fortune 500 companies - announced a $50.5 million Series B round Tuesday to fuel growth of its AI training data technology platform as it aims to be “the world’s best data company for AI.”
  • The investment marks the largest Series B round raised by a female-founded AI startup. Investors in the round include new backers Semapa Next and Hermes GPE, and existing investors Evolution Equity Partners, Kibo Ventures, Portugal Ventures, Bynd Venture Capital, EDP Ventures and IronFire Ventures.
  • Total funding to date is $63.6 million.
  • Founded in 2015, DefinedCrowd uses a combination of machine learning with a crowdsourced community of 290,000 human contributors to train AI systems in 50 languages across 195 countries.
Seattle startup DefinedCrowd lands $50M to help Mastercard, BMW, others improve their AI services

Want to be better at sports? Listen to the machines

  • Nytimes
  • 1 month ago

The pattern-recognizing power of machine learning is affecting players, teams, sports medicine and even betting:

  • Seattle Sports Sciences is a company using the pattern-recognizing power of machine learning to revolutionize coaching and make advanced analytics available to teams of all kinds. The trend is touching professional sports and changing sports medicine.
  • Some systems can also detect and predict injuries. Sparta Science - a company that uses machine learning to gather data from electronic plates on the ground that measure force and balance. The system gathers 3,000 data points a second and a test — jumping or balancing — takes about 20 seconds.
  • Of course, it is inevitable that machine learning’s predictive power would be applied to another lucrative end of the sports industry: betting. Sportlogiq, a Montreal-based firm, has a system that primarily relies on broadcast feeds to analyze players and teams in hockey, soccer, football and lacrosse.
Want to be better at sports? Listen to the machines

Labelbox raises $25 million to grow its data-labeling platform for AI model training

  • VentureBeat
  • 3 months ago
  • Labelbox today announced the close of a $25 million series B funding round to grow its platform that labels data needed to train AI systems.
  • The funding round was led by Andreessen Horowitz, with participation from Google's AI-focused Gradient Ventures fund, Kleiner Perkins, and First Round Capital.
  • The company has now raised $39 million to date, including a $10 million series A in April 2019.
  • The funding will be used to develop and accelerate the Labelbox roadmap for machine learning and computer vision models by doubling the size of its engineering and sales teams.
  • The funding will also be used to codify best practices and standard metrics for model performance among data scientists, developers, and data engineers, in part by working with university and business partners.
Labelbox raises $25 million to grow its data-labeling platform for AI model training

Manu Sharma

Avatar for Manu Sharma
Co-founder & CEO @Labelbox

Brian Rieger

Avatar for Brian Rieger
Co-founder and COO of Labelbox, the industry leading training data software that is accelerating global access to artificial intelligence.
Total raised

$13.9M

Funded over

2 rounds

Latest round

Apr 2019

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