Uru Raises Funds to Create Computer Vision-Powered, Content-Aware Advertisements for video and beyond

Uru, a company that creates computer vision-powered, content-aware advertisements for digital video and emerging mediums such as virtual and augmented reality, has secured $800,000 in pre-seed funding. Led by PJC, Notation Capital, with participation from Betaworks, Rough Draft Ventures, Presence Capital, and several angel investors, the raise will further Uru’s mission to build a new generation of digital advertisements that understand and harmonize with visual content.

Based in New York City, Uru offers a first-to-market, ready-for-production software that leverages computer vision and machine learning technology to automatically understand the objects, themes, and brand placement opportunities inside content, and then to populate those opportunities with appropriate brands in an immersed and viewer-friendly way. In a study conducted by a researcher at the Center for Behavioral Research at New York University’s Stern School of Business, Uru’s ads were shown to improve brand recall by 80% over existing video ad formats.

Launched in Cornell Tech’s Startup Studio, taught by investor David Tisch, Uru is the first company from that program and the first Cornell Tech Startup Award winner to raise institutional backing. Prior to Uru, co-founder and CTO Brunno Attorre worked on distributed systems and machine learning at JP Morgan, Buscapé, and Compare Games and co-founder and CEO Bill Marino was a Data Science Fellow at Mashable. The founders met as Computer Science Master of Engineering students at Cornell Tech and are joined by advisor Serge Belongie, Cornell Tech professor and co-founder of Anchovi Labs (acquired by Dropbox).

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