Pixop is a cloud platform that uses machine learning to enhance, restore, and upscale video from any source ā giving broadcasters and media companies premium picture quality without rebuilding their production workflow.
Archives and live feeds are full of footage shot on old cameras, at low resolutions, or under poor conditions. Pixop’s ML filters clean up noise and grain, deinterlace, restore detail, and upscale material to modern HD and UHD standards, and the results are proven in production: broadcasters such as TV 2 and TV Syd in Denmark use it, and the platform has processed more than 400,000 videos with real-time latency around 600 milliseconds. Pixop comes in two forms ā Pixop Prime, the ML enhancement pipeline licensed to run in your own cloud or on-premises, and Pixop FILE, a fully managed SaaS where you submit assets and Pixop handles the rest.
Pixop charges by usage. Video processing costs $0.001-$0.551 per gigapixel processed depending on the filters applied, video encoding runs $0.007-$0.136 per gigapixel, and storage is $0.023 per GB per month, with volume discounts as processed volume grows (prices exclude VAT). Pixop Prime is licensed separately for in-house deployments.
Because the pipeline is fully cloud-based, enhancement quality stays consistent whether you process a single news clip or an entire archive, and Pixop FILE’s managed model means smaller teams get broadcast-grade results without hiring video engineers or maintaining render infrastructure of their own.
Pixop is built for broadcasters, streaming services, production companies, and archive owners who need to bring mixed-quality catalogs ā old tapes, low-resolution masters, user footage ā up to consistent modern quality standards at scale.