Description
Reduce AI processing and get more accurate results
Snicket Labs (previously Ad Signal) Enrich builds on the intelligence created by Match to dramatically reduce AI processing while delivering more accurate and granular enrichment results. Instead of sending full video files, packed with repeated frames and unnecessary duplication, Enrich uses Match fingerprint intelligence to send only the unique frames and moments to the AI service of your choice.
This approach reduces AI processing and associated carbon emissions by up to 75 – 80%, while improving output quality. By focusing AI effort only where meaningful change occurs, Enrich increases accuracy and granularity without increasing processing time or cost. This is especially valuable for large libraries where repeated content appears across versions, edits, reformatting, compilations, or distributed media packages.
Crucially, Enrich applies AI insights consistently across all matching content. When a frame, image, or audio moment appears multiple times across a library, Enrich recognises that nothing material has changed, avoids reprocessing, and automatically applies the insight everywhere it occurs. This reduces duplication, speeds up time to value, and lowers the overall complexity of large scale enrichment programmes.
Enrich can also support smarter service selection by enabling lower-cost image-based AI services rather than expensive video based processing, and can collate outputs from multiple providers into a unified response via API.
Key benefits
- Reduce AI processing & carbon by sending only unique content to AI
- Increase granularity with frame-level and millisecond level precision
- Cheaper, quicker AI processing using unique frame intelligence from Match
- Send to many services and return results in a unified format via API
