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Concept
Figure Eight Inc.
Résumé
Figure Eight (formerly known as Dolores Labs, CrowdFlower) was a human-in-the-loop machine learning and artificial intelligence company based in San Francisco.
Figure Eight technology uses human intelligence to do simple tasks such as transcribing text or annotating images to train machine learning algorithms. Figure Eight's software automates tasks for machine learning algorithms, which can be used to improve catalog search results, approve photos or support customers and the technology can be used in the development of self-driving cars, intelligent personal assistants and other technology that uses machine learning.
The company was acquired by Appen in March 2019 for $300 million.
Originally called Dolores Labs, the company was founded in 2007 by Lukas Biewald and Chris Van Pelt. They found a need for temporary workers doing simple tasks that could not be automated. After experimenting with pictures and questions related to them on Amazon's Mechanical Turk, a crowdsourcing internet marketplace, they encouraged others to participate in their experimentation through the site Facestat. They collected 20 million assessments of people's faces within three months and began to add queries for companies needing data such as event listing site Zvents and O'Reilly Media.
Dolores Labs, initially in a loft space in the Mission District briefly moved to an office on Valencia Street which it outgrew in nine months. They felt the name Dolores Labs was too research-oriented and sounded like experimentation, so the company was renamed CrowdFlower. In 2009, CrowdFlower held an official launch at the TechCrunch50 conference. A sleek logo replaced its previous mint-eating alligator. The company moved to its third office in the Mission in early 2010. The name Dolores Labs was adopted by Dan Scholnick of Trinity Ventures who turned the name and previous office space into a co-working and startup incubator space.
In 2009, the company provided work for refugees in Kenya who completed microtasks; iPhone users donated their time by checking for accuracy through the app Give Work.
Source officielle
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