Labelbox Email Format

Software Development
51-200 employees
San Francisco, CA, USA

Labelbox is a software development company that provides AI data labeling services and unified data management tools for AI labs and enterprises worldwide.

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firstinitiallast@labelbox.com

Company Overview

Industry
Software Development
Founded
2018
Headquarters
San Francisco, CA, USA
Revenue
$100M-$250M
FUNDING Stage
Private
Key Executives
Manu Sharma (CEO), Brian Rieger (COO & Co-Founder), Keshav Sahoo (Chief Technology Officer)

Tech Stack

Databricks

Analytics

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Key Executives

Chief Executive Officer

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Chief Finance Officer

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Chief Operating Officer

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Chief Technology Officer

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Chief Marketing Officer

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Chairman

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4.9/5 on G2
40K+ GTM professionals
SOC 2 Type II certified

Frequently Asked Questions

What is the email format of Labelbox?

Labelbox uses the firstinitiallast format on labelbox.com, so Jane Smith would be jsmith@labelbox.com.

What products does Labelbox offer for AI development teams?

Labelbox offers reinforcement learning data, custom model evaluations, robotics data for embodied intelligence, and the Alignerr expert network, which connects AI teams with over 1.5 million knowledge workers across more than 40 countries and 200-plus domains.

How does Labelbox's Alignerr network help AI labs with post-training data?

Alignerr, Labelbox's curated expert network, connects leading AI labs with subject matter experts including over 50,000 PhDs to generate high-quality post-training data, preference pairs, and reward signals for reinforcement learning workflows. Labelbox partners with over 80 percent of leading US AI labs.

Who founded Labelbox and who leads the company today?

Labelbox was co-founded by Manu Sharma, who serves as CEO, and Brian Rieger, who serves as COO. Keshav Sahoo is the Chief Technology Officer. The company is headquartered in San Francisco, California.

Which enterprise customers use Labelbox to build and improve AI models?

Labelbox customers include Walmart, Procter and Gamble, Google Cloud, Intuitive Surgical, Genentech, NASA JPL, and John Deere, spanning retail, healthcare, agriculture, and aerospace, alongside a broad set of frontier AI labs using the platform for post-training and evaluation data.

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