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, so Jane Smith would be jsmith@labelbox.com.

What is Labelbox's Alignerr Expert Network and who is it for?

Alignerr is Labelbox's expert network of over 1.5 million knowledge workers spanning 40+ countries and 200+ domains, including PhDs and licensed professionals. It supplies high-quality human feedback for training and evaluating frontier AI models.

How does Labelbox support reinforcement learning and LLM evaluation for AI teams?

Labelbox provides post-training data at scale, custom model evaluations, preference rankings, and RLHF workflows through its platform, helping AI teams generate reward signals and benchmark models across text, vision, and reasoning tasks.

Who leads Labelbox and who are the key executives behind the company?

Labelbox is led by CEO Manu Sharma, alongside COO and Co-Founder Brian Rieger and Chief Technology Officer Keshav Sahoo. If you need verified contact details for any of these leaders, a tool like Clay can help surface and confirm their information.

What types of AI labs and enterprises does Labelbox serve as customers?

Labelbox partners with over 80 percent of leading AI labs and serves enterprise teams building frontier and task-specific models, offering data labeling, curation, and evaluation services across industries including technology, finance, and science.

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