Company Profile

Labelbox Inc
Profile last edited on: 5/5/22      CAGE: 8GKS0      UEI: ZEHGNCJX69X6

Business Identifier: Collaborative data training platform creating and managing labeled data for machine learning applications
Year Founded
First Award
Latest Award
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Location Information

510 Treat Avenue
San Francisco, CA 94110
   (530) 400-9891
Location: Single
Congr. District: 12
County: San Francisco

Public Profile

Labelbox builds artificial intelligence training data labeling software. When someone builds software, typically those involved is take for granted the existence of collaborative tools to write and debug code. In fact, to date, the machine learning workflow has no standard tooling for labeling data, storing it, debugging models and then continually improving model accuracy. In that contex, the founders and management of Labelbox are directly addressing enabling their firm to become the default software for data scientists to manage data and train neural networks in the same way that GitHub or text editors are defaults for software engineers. It should be noted that Labelbox is not the standard SBIR-involved firm but rather entered the arena through the very different AFWERX vehicle.

Extent of SBIR involvement

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Synopsis: Awardee Business Condition

Employee Range
Revenue Range
VC funded?
Privately Held
Stock Info
IP Holdings

Awards Distribution by Agency

Most Recent SBIR Projects

Year Phase Agency Total Amount
2020 1 AF $50,000
Project Title: Building computer vision products for the real world

Key People / Management

  Brian Rieger -- President & Co-Founder

  Manu Sharma -- Founder and CEO

  Nathana Sharma -- Founder & General Consel

Company News

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