The problem
The hidden cost
of video archives.
Organisations today manage thousands of hours of video. Most of it is impossible to use, and requires enormous manual effort to navigate.
The solution
Not just video storage.
We offer video intelligence.
We build an AI intelligence layer on top of your existing archive.
Organisations can finally interact with video archives in entirely new ways.
No migration, no disruption.
Highlights
Explore Your Archive
Find any moment, theme, or visual element across thousands of hours of footage instantly. Search using natural language and get precise results in seconds.
- Semantic video search
- Visual similarity matching
- Timestamp precision
- Advanced filtering
Accurate Audio Descriptions
Automatically generates audio descriptions perfectly synced with video. Make your content accessible and enhance understanding for all audiences.
- Scene-by-scene narration
- Action & movement tracking
- Character identification
- Perfect synchronization
"A person walks through the entrance, carrying a briefcase..."
"They approach the reception desk and begin speaking..."
Find What You Are Looking For
Automatically identify faces, locations, themes, and events across your entire video archive. Advanced AI recognition with a privacy-first approach.
- Face & person detection
- Location recognition
- Event categorization
- Theme extraction
99.2% accuracy across all detections
Information Enrichment
Generate accurate transcripts, descriptions and structured tags automatically. Transform raw video into rich, searchable metadata.
- Auto-generated transcripts
- Scene descriptions
- Smart tagging system
- Metadata extraction
Up to 90% processing
cost – optimization.
Instead of analysing every frame at a constant rate, our intelligent layer adapts to the nature of the content — spending compute only where it matters.
Analysis
When the story lives in the audio.
Speech, jingles, slogans, commentary — the system reduces the video frame rate and leans on the audio track, cutting processing cost without losing meaning.
Sampling
When the story lives on screen.
Sports footage, moving crowds, action sequences — the sampling rate increases to ensure maximum accuracy. Configurable per use case, scalable to archives of any size.
Case History #1
Create Scene Audio Descriptions
for fully accessible video. At scale.
A media company distributing thousands of hours of content needs to make it accessible to blind and visually impaired audiences. Producing audio descriptions manually is time-consuming, costly, and impossible to scale.
Our system analyzes video content to detect scenes and automatically generates audio descriptions during natural pauses — perfectly synchronized with the timeline and delivered as an optional audio track. No manual effort required.
Case History #2
Creating Smart Video Clips
from long videos.
Clip ready for distribution
A sports broadcaster needs to produce highlights, social clips, and branded content in real time. With limited editorial resources and hours of footage, the window to capture attention and monetize key moments is extremely short.
Our system automatically identifies key moments during ingest, tags them by type, and makes them instantly available for distribution across channels and partners — enabling real-time content activation without manual effort.
We don't start from scratch.
And neither should you.
Neofabric is our AI engineering framework. A library of modular components, field-tested in production and refined over years of client delivery.
It allows us to assemble the right solution faster, at a lower cost, and with less risk than building from scratch.
We can start from a working prototype and then move to a production-grade solution.
Ready to Transform Your Video Archive?
See Video Intelligence in action with a personalized demo from our experts.