Tackle the toughest challenges - deduplicating content, reducing AI costs, optimising streaming, and automating IMF creation.
Content producers manage extensive raw footage, edits and final versions, leading to high storage costs and time lost trying to find the right asset.
Match - deduplicates video, image and audio content, removing redundant versions and optimising storage.
By removing duplicates, Match simplifies content management, saving 60% of the cost and carbon of storage, as well as hundreds of person-hours trying to find the right asset.
Match will show you, to the millisecond, where any differences occur between your versions.
Save up to
60%
in storage costs and carbon
AI processing of large volumes of content is extremely costly and carbon-intensive, often making it cost-prohibitive. AI data can often be identical for segments of content, but this is not discovered until after the AI data has been generated.
Match - identifies all of the unique images and audio across all of your assets, sending only this unique content to your chosen AI services. Match doesn't require any guidance on which assets are related - it simply identifies all new, unique content for each asset it receives.
Match reduces AI utilisation by an average of 75%; therefore reducing AI cost and carbon emissions by 75%, making your production more sustainable and cost-effective.
Save up to
75%
in AI cost and carbon
Managing content rights, understanding the relationship between your assets and finding where a clip came from, is difficult and time-consuming.
Harmonise - provides a detailed content genealogy, linking related video and audio clips down to the millisecond. This enables you to easily see where a clip came from and where else it is used across all of your assets.
By restoring the relationship to the raw footage, the rights of the raw footage are inherited into all assets containing that segment, helping you avoid rights breaches and legal repercussions.
This accelerates editing and clarifies content rights, saving hundreds of person-hours per project.
Manually creating IMF packages is time-consuming and prone to errors, making it unsuitable for existing content. The existing content that must be delivered in the IMF format (e.g. to Netflix) becomes time-consuming to create.
Compose - automates the entire process of creating IMF packages from traditional assets, ensuring seamless audio quality and self-validated outputs. This automation allows all of your existing content to be migrated to the IMF format, automatically determining which content belongs in the same package. This reduces the total file size by more than 90%.
Compose’s automatic IMF generation can also be used to convert traditional files to IMF format before being delivered to destinations such as Netflix, saving the time and cost of manual creation.
More than
90%
file size reduction
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