What the AI adds
Spoken words in the language of the footage, a description of each scene, and the text that appears on screen. Each item carries a time, so a result is a moment and not a whole file.
Where the results live
Either as metadata inside the MAM, or in a search layer beside it that links back to the MAM asset. The second route leaves the MAM and its existing tags untouched, which is why many teams start there.
Questions to ask before you choose
- Which languages are covered, and does that include mixed-language speech?
- Does it keep our existing tags and metadata?
- Can it run on our own premises?
- What happens to the original files?
Where Deepgrip fits
Deepgrip connects to MAM systems and indexes footage where it is held. It adds search by meaning in 23 Indian languages and English, and answers with the timestamp of the moment. Your MAM stays the system of record.
To see it on your own material, book a demo with a sample of your archive. If it fits, we scope a paid 14-day proof of concept against success criteria agreed on day one.