
1715 Labs is a pioneering data labeling company that combines human and machine intelligence to efficiently train AI algorithms for new applications. They specialize in providing high-quality, structured training data, which is crucial for AI performance. Their services include data validation, training, ground truth gathering, and data fusion, catering to various industries like retail, earth observation, advertising, and investor intelligence. Spun out of the University of Oxford and drawing on a decade of experience from the Zooniverse citizen science platform, 1715 Labs offers cost-effective and rapid data training and analysis solutions. They help businesses deploy accurate, reliable, and scalable AI by addressing the challenge of unstructured data.

1715 Labs is a pioneering data labeling company that combines human and machine intelligence to efficiently train AI algorithms for new applications. They specialize in providing high-quality, structured training data, which is crucial for AI performance. Their services include data validation, training, ground truth gathering, and data fusion, catering to various industries like retail, earth observation, advertising, and investor intelligence. Spun out of the University of Oxford and drawing on a decade of experience from the Zooniverse citizen science platform, 1715 Labs offers cost-effective and rapid data training and analysis solutions. They help businesses deploy accurate, reliable, and scalable AI by addressing the challenge of unstructured data.
What they do: Data labeling company combining human and machine intelligence to produce structured training data
Origins: Spun out of the University of Oxford and draws on Zooniverse experience
Founder (public): Sophie Hackford — Co-founder and Chair
Funding (reported): Total funding amount listed as $1,940,000 (last date 2020-10-16) in one data source
Unstructured data preparation and labeling for supervised AI model training
Data labeling / AI training data
1940000.00