Turn your archive from a cost into revenue
Every asset you cannot find costs you to store and earns nothing. Metadat-AI makes your whole library searchable, so you can reuse, license and monetise what you already own.
The challenge
Media archives are growing fast. The cost of storing them rises because there is more and more data, not because the price per terabyte is going up.
- Decades of content with thin or inconsistent metadata.
- Storage costs keep growing as the amount of data grows, with nothing coming back.
- Cloud AI tools charge egress fees and send your content elsewhere.
- Tagging a whole archive with AI can be too costly at scale.
- 324 PBof media under management by iconik in 2025Source: iconik Media Stats Report 2026
- +56%growth in a single year. The cost grows because the data grows.
How Metadat-AI helps
- Consistent, searchable metadata Tag speech, scenes, objects and on-screen text across the whole archive
- Turn storage cost into revenue Once every asset can be found, you can reuse, license and monetise what you already own
- No egress or heavy bandwidth Models run in your environment, with no cloud egress fees and no need to upload your entire archive
- Affordable at scale Simple per-hour pricing, and up to half the cost of comparable AI video platforms with commitment and prepayment discounts
Models and features used
- Media Tagging Consistent tags for speech, scenes, objects and text.About Media Tagging
- Unique Frame ID Analyses only the frames that matter, cutting metadata noise by 87%.About Unique Frame ID
- Deployment Your cloud or your own hardware, with no egress fees.About deployment
- Natural Language Search Find any asset by describing it.
FAQ
Does our media leave our environment?
Not when you run Metadat-AI in your own cloud or on your own hardware.
Does it work with our existing tools?
Yes. Metadat-AI connects to asset management and creative tools, so your team keeps working where they do today.
Can it handle a very large archive?
Yes. Unique Frame ID and per-hour pricing are designed to keep tagging affordable at scale.
Can we keep our existing metadata?
Yes. Metadat-AI adds tags alongside what you already have.