Deep Render AI Codec: Faster, Smarter, and Ready for Prime Time?

I recently interviewed Chri Besenbruch, CEO of Deep Render, to discuss their end-to-end AI codec technology. Unlike traditional codecs like HEVC, VVC, and VP9, Deep Render’s AI codec shifts the entire encoding/decoding process to neural networks, promising faster performance and improved efficiency. The YouTube video of our talk is embedded below.

Key Takeaways:

• Fast Encoding & Decoding: Comparable to traditional codecs, with real-time decoding even on devices like the iPhone 13. (Performance metrics at 10:18)
• Quality Comparisons: Claims of 40–50% better efficiency than AV1, with strong performance against HEVC (x265) and VP9. (Details at 07:00)
• AI Codec vs. AI Codec: How Deep Render stacks up against other AI-driven solutions from companies like Microsoft and Qualcomm. (Insights at 14:00)

Chri predicts commercial deployments by 12/2026.

If you’re curious about the future of video compression, this conversation is worth a watch.

Disclosure: Deep Render is a consulting client, and I haven’t independently tested the codec, so I can’t verify these claims.

About Jan Ozer

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I help companies train new technical hires in streaming media-related positions; I also help companies optimize their codec selections and encoding stacks and evaluate new encoders and codecs. I am a contributing editor to Streaming Media Magazine, writing about codecs and encoding tools. I have written multiple authoritative books on video encoding, including Video Encoding by the Numbers: Eliminate the Guesswork from your Streaming Video (https://amzn.to/3kV6R1j) and Learn to Produce Video with FFmpeg: In Thirty Minutes or Less (https://amzn.to/3ZJih7e). I have multiple courses relating to streaming media production, all available at https://bit.ly/slc_courses. I currently work as www.netint.com as a Senior Director in Marketing.

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