iSize Technologies

Deep Learning For Video Delivery

First AI Powered Live Precoding Prior To Encoding

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Substantial Bitrate Saving

Up To 40% Bitrate Saving vs Non-AI Competing Codec Solutions

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Fully Codec And Content Independent

Compatible With All MPEG & AOMedia Standards With Any Content Input

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Long Lasting Value Powered by AI

Bringing Efficient, Intelligent And Sustainable Solutions To Video Delivery

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Next Generation Sustainable Results

High Quality Content Streaming In An Energy-Efficient Way

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Superior quality

Provide the highest quality of experience to end users and enable seamless streaming of 4K and 8K

Substantially cheaper

AI-based video preprocessing that, together with open-source or proprietary encoders, delivers up to 40% reduction in cost of streaming for both VOD and LIVE content versus industry-leading encoding services

Sustainable results

Reduce energy consumption and environmental impact of video streaming

Even More Features

Bitrate Saving

iSIZE precoding and open-source or proprietary encoders allow for up to 40% reduction in bitrate over leading commercial AVC/H.264, HEVC, VP9 and AV1 encoders.

Quality Boost

iSIZE precoding boosts the performance of any video encoder in terms of perceptual metrics like VMAF, VMAF_NEG and SSIM, providing for superior visual quality over encoders that optimize for PSNR

Codec Independent

The iSIZE solution can be “bolted” on top of any standard or proprietary video codec to provide bitrate saving, while remaining compatible with standard format containers (e.g.,MP4, MKV, WEBM) and transport stream protocols (e.g., MPEG-TS)

Machine Learning

A single pass of iSIZE intelligent preprocessing can run in real time even on CPU-only hardware, while providing bitrate savings for an entire ABR encoding ladder

Energy Efficiency

iSIZE offers up to 2-fold reduction of the energy footprint of any video encoder while improving perceptual quality, thereby making datacenters more efficient in processing video workloads

Content Independent

While iSIZE benefits from off-line training, by combining content-adaptive preprocessing with the latest advances in deep neural networks, the technology can process any input content, from entertainment, sports and gaming to thermal images and surveillance footage