While many startups tend to focus on achieving “product-market fit,” there are a number of companies looking to revolutionize the world with their “game changing” technologies and ideas.
In our Game Changers report, we identified 8 categories of innovation that are solving big, important problems. Among these is computer vision, a category comprised of companies using AI to interpret and act on visual data.
We’ve identified 4 computer vision startups that are changing the way we collect and understand data— from agriculture to child development to human emotion — and the cutting-edge applications each promises. The top computer vision startups are Blue River Technology, Affectiva, Nanit, and Captricity. These companies are all in different stages of development with funding ranging from $11.8M to $49M.
Blue River Technology
Blue River employs computer vision and machine learning on agriculture equipment to identify plants individually and avoid over-spraying of pesticides and over-nourishment with fertilizers.
Total Funding: $30M
Select Investors: Data Collective, Khosla Ventures, Monsanto Growth Ventures, National Science Foundation
Affectiva
The MIT Media Lab spinout focuses on emotion recognition, using deep learning to identify emotions in facial expressions.
Total Funding: $33.7M
Select Investors: Myrian Capital, WPP, Fenox Venture Capital, KPCB, Horizons Ventures
Nanit
Nanit has applied computer vision to a baby monitor, helping ensure child safety by recording sleep patterns. The data collected could lead to new insights in child development.
Total Funding: $11.8M
Select Investors: Upfront Ventures, RRE
Captricity
Handwriting still plays a massive role in business, contracts, and bureaucracy, and solutions will be needed as we transition to digital systems. Captricity boasts 99.9% accuracy for digitizing handwriting, which is attractive to insurance investors.
Total Funding: $49M
Select Investors: Social Capital, Accomplice, Founders Fund
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