How we are making progress towards sustainability

By championing sustainability, we aim to take an active role in powering that transition

The problem

The world currently stores 97 zettabytes of global digital data, which is expected to rise to 181 zettabytes by the end of 2025 (Statista 2021).

It is estimated that 2.3% of the world's CO2 emissions are attributed to data centres and network traffic (IEA 2022). 80% of these emissions are related to video, and much of this video is duplicated. For example, the BBC has 127 versions of the same episode of Dad's Army; this is known as "versionitis" in the industry.

Our Solution

Ad Signal Match deduplicates video content, regardless of format, codec or resolution, potentially taking the BBC's 127 versions down to around twenty unique versions. Ad Signal Match offers a significant annual saving in cost and carbon emissions related to storage as well as person-hours finding the right asset. In this example, this is an 84% reduction in storage.

Our patent-pending Compose product takes this further, automatically converting the 20 episodes of 100GB each to a single IMF package of 130GB. This represents a 93.5% reduction from the original 2TB combined file size. In addition, Compose can also optimise ABR streaming, reducing CDN storage by up to 60%. If adopted globally, Ad Signal could significantly reduce the 2.3% of datacenter emissions to less than 0.5%

The impact of AI

The current demand for AI has the potential to increase the impact of climate change dramatically. The CAGR of Ai is due to rise 37% by 2030 and the bulk of the carbon impact of this will be felt within the next 2 years as the Ai models are trained. Ad Signal Match can massively decrease the environmental impact of AI by deduplicating content before sending it to AI processors. By applying a touch of common sense and only sending unique images and audio from a video file, Match can reduce the image and audio sent to AI by 75%.

Join us in reducing the carbon impact of versionitis

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