When the cofounder duo began fundraising in 2022, they found it "surprisingly hard." Although investors have piled into AI startups since the advent of Chat-GPT, Besenbruch said that the funding environment wasn't as receptive because many venture capitalists did not understand the deep tech aspect of their mission. With decoding, it's an end-user license, and we get a royalty for each user." "We're selling the encoding via an enterprise license, giving companies an annual license for our software. "Compression works by encoding and decoding the compressed file," Besenbruch said. The startup makes its money through two avenues: its short-term business model is to work with Big Tech firms that have a lot of data users, and it is also selling its data encoding and decoding software through annual licenses. "This technology was in the works for a lot of years we started in 2018 - and by Q3 of 2022, we had a product that worked," Besenbruch told Insider. The aim is to cut the content delivery costs for video companies while giving users smoother access to videos, be it on services ranging from Amazon Prime to Twitch. The startup also wants to improve the video streaming experience for the end user as companies tussle with increasing data traffic and limited bandwidth.ĭeep Render uses AI to imitate neural processes, which shrinks the video file size. The process of streaming videos is expensive for companies like Netflix and Zoom, and also boasts a large environmental cost, Besenbruch said. The company claims it can compress videos up to five times smaller than the market average while also preserving video quality. London-based Deep Render, founded in 2017, wants to "save the modern internet", according to cofounder and CEO Chri Besenbruch.
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