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 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
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 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
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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