Founded in 2018 and based in San Francisco, Labelbox is a collaborative training data platform for machine learning applications.
Rather than requiring companies to build their own expensive and incomplete homegrown tools to create or manage training data, Labelbox created the world’s first training data platform that acts as a central hub for data science teams to create and manage training data with internal or external labeling teams. Better ways to input and manage data means higher quality training data and more accurate machine-learning models. Labelbox has raised $39 million in capital from leading VCs in Silicon Valley including Andreessen Horowitz, Kleiner Perkins and Gradient Ventures.
Areas of Expertise
- Training Data
- Data Labeling
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With decades of AI experience working in every industry, we’ve gained the necessary insight and expertise to support and overcome technical and implementation challenges.