The amount of data on the internet is doubling every two years and 90% of it is video, the internet's infrastructure has reached a point of saturation. While there is massive data traffic, there is very little bandwidth to handle it, and the compression technologies that lie at its heart are buckling under pressure. London-based AI startup Deep Render has built a revolutionary video compression algorithm that shrinks video sizes up to 5x without compromising the streaming quality. Instead of improving on the traditional video compression systems, Deep Render has completely reinvented the technology to mimic the neural processes of the human eye. In a recent development, Deep Render, which operates with the mission to solve the data and bandwidth crisis threatening the future of the web, has raised $9 million in funding for its transformational video compression technology.

Chri Besenbruch, CEO of Deep Render, sees many problems with the way video compression standards are developed today. He thinks they aren't advancing quickly enough, bemoans the fact that they're plagued with legal uncertainty and decries their reliance on specialized hardware for acceleration. "The codec development process is broken," Besenbruch said in an interview with TechCrunch ahead of Disrupt, where Deep Render is participating in the Disrupt Battlefield 200. "In the compression industry, there is a significant challenge of finding a new way forward and searching for new innovations." Seeking a better way, Besenbruch co-founded Deep Render with Arsalan Zafar, whom he met at Imperial College London.