Blog

Announcing $10M Series A Funding for Labelbox

Dear Labelbox Community, Today, we’re excited to share a significant update: we recently secured a Series A funding round of $10 million. Our lead investor for this new phase of our company is Gradient Ventures, Google’s AI-focused venture fund, and we thank them for their support. We also received a repeat investment from Kleiner Perkins and First Round Capital. Anna Patterson, founder and Managing Partner at Gradient Ventures, VP of Engineering at Google, and Square board member, is joining t

Labelbox Speaks on Ethics of AI at O'Reilly's Strata Data Conference

"Is your AI really making good decisions or have you built a deceptive black box that reinforces ugly stereotypes?"  asked  O'Reilly's Ethics Summit. At this Strata Data conference, Labelbox Co-founder & COO, Brian Rieger, gave an answer for reducing bias in machine learning.

Labelbox February Update

February's new feature releases bring you better collaboration, increased project efficiency, and the ability to safely extend authorization to private cloud data.

Labelbox January Updates

Learn how Labelbox can improve the way you manage your training data with new features, available now! Introducing: Benchmarks, Label Contains Search, Asset Info, API Key Management, and Bulk Import.

Labelbox December 2018 Updates

Outsourced labeling services are often an instrumental part of making an AI project successful. But at the same time, the accuracy and consistency of the labeling work are critical to training performant AI. To address these two (often competing) needs, it’s now possible to have an outsourced labeling team work right inside of your Labelbox project. Let’s take a closer look to see how this works. Inside of a Labelbox project, head to Settings>Collaborators. There you will see the Outsource tab

Labelbox August 2018 Updates

Labelbox Raises $3.9M & Product Updates We are excited to introduce teams, customer success stories and $3.9M in seed funding from Kleiner Perkins, Gradient Ventures, Google’s new AI fund and First Round Capital. Read on to learn more. Introducing Teams Building AI often means collaboration from many different functions, including software, management, operations, domain expertise, and data science. For these kinds of environments with internal and sometimes external groups working together,

Product Updates: July 2018

Labelbox adds Auto Consensus, TensorFlow integration and usability features. We are very thankful to all of our passionate users who have helped us continuously improve Labelbox. Over the past few months, we’ve made a number of usability improvements. Now, we are taking a major step to help our users easily create and manage training data. Read on to learn about new features in Labelbox. Auto Consensus Auto Consensus allows you to quantitatively measure the quality of your training data — th

Product Update: March 2018

Labelbox adds analytics, improved label review and better exports Labelbox is on a mission to enable organizations to easily adapt and train artificial intelligence. Over the past month, we’ve focused our efforts to make Labelbox a better fit inside organizations that are building expert artificial intelligence applications. Read on to learn about new features in Labelbox. Labeling Metrics Project and per-labeler metrics provide you the information necessary to effectively manage the data la