Your Archive Is a Revenue Engine. Most Broadcasters Are Still Treating It Like a Hard Drive

Broadcasters face a physical reality.  More raw footage than ever. Less ability to use it.

Archives grow at a rate that outpaces manual indexing. Industry benchmarks state that editors spend 60% of their time on non-creative tasks; primarily scrubbing timelines for usable clips. Leadership demands more short-form, high velocity content; more platform-specific formats, but yet, headcount remains static.

Meanwhile, decades of authentic, trusted footage sits buried and unsearchable. Not because it isn't valuable. Because no one can find it fast enough to use it.

The problem isn't the footage. It's that most broadcasters are still treating their archive like a hard drive (storage)  instead of an inventory (asset).

If you can't search for it, you can't monetize it.

The Shift

Traditional media AI is often "text-first," relying on transcripts, OCR, or closed captioning. Take away the audio, or have a generic commentary, the system fails.
But what makes media valuable isn’t just the transcript. It’s the image—think: the emotion’s on a player’s face, the tension in a room, the moment a crowd erupts before the commentator catches up, that’s where the real value lies.

Reka Vision represents a frontier shift toward Multimodal Reasoning. Our models watch video the way an editor does, understanding the visual nuances of emotion, physical tension, and sport-specific gameplays without needing a transcript. By adding a layer of visual intelligence, your archive transforms—from a storage cost into a searchable, licensable asset.

Three Ways to Monetize Your Archives With Vision AI

1. Maximizing Licensing Automatically from the Footage You Already Ow

Shutterstock manages 500 million photos and 50 million videos. Their challenge wasn’t content; it was discoverability, and the licensing revenue that discoverability unlocks. 

By deploying Reka Vision to automate metadata tagging across their entire multimedia library, Shutterstock transformed that archive from a storage cost into a searchable inventory. Every asset is findable. Every asset is licensable.

The same applies to your archives of sports footage, news coverage, or events recording. Your clients want to license the clips in your archive, and if a client can’t find a specific shot in seconds, the sale is lost.

But rich metadata tagging changes that. Your every frame of historical footage becomes searchable. All through natural language. Your archive becomes a revenue engine the moment it becomes searchable.

2. Sponsorship and Advertising Revenue

Traditional sponsorship reporting works on approximations. Estimated impressions. Demographic assumptions. Screen time measured by sampling, not by frame.

Brands are tired of approximations. They now demand for frame-level proof of delivery. .

Reka Vision enables Temporal Brand Intelligence. It detects and tracks brand logos across broadcast footage automatically, counting appearances, measuring exact screen time, identifying placement zones, handling partial occlusions and motion blur across every camera angle. This gives you timestamped proof-of-delivery reports, and that changes your sponsorship conversation. Instead of selling estimated impressions, you are able to provide verified visual context, enabling premium CPMs for high-excitement moments.

3. Clip Generation and Content Repurposing at AI Speed

Short-form content demand isn't slowing down. The platforms want more. The audiences expect it. And the teams producing it are already stretched.

Standard AI clipping tools help until they don't. They generate preset highlight reels based on audio cues and generic excitement signals. They can't follow a specific player across a broadcast. They can't identify a pick-and-roll, a defensive stand, or a referee's hand gesture. Remove the commentary track and most fall apart entirely.

Reka Clip stands out here. It allows for Prompt-Based Editing. You can brief the model as you would a junior editor:

"Identify all instances of Player #12 in a red jersey performing a deep pass. Exclude segments with tackles. Reframe for 9:16 aspect ratio."

Because Reka understands Physical AI, the movement of objects in space, it can track jersey numbers and specific gameplay mechanics across a full broadcast. This doesn't replace editors; it removes the "scrubbing" tax, allowing teams to produce 10x more content with the same resources.

Frontier Performance in Production

Frontier performance isn’t a future state. Shutterstock is already running it at scale with automated metadata tagging across one of the world's largest multimedia libraries, directly driving discovery and licensing revenue. The same Reka infrastructure that supports Shutterstock is available for broadcast integration today. 

Your footage is already there. The workflows are already in place. Reka Vision adds the intelligence layer that makes both of them work harder.

Getting Started

Try it yourself. Upload footage to the Reka Vision playground and run natural language search queries against your own content. See what surfaces in seconds versus what would have taken hours.

Talk to our team. If you're ready to scope what this looks like against your archive or your broadcast workflow, request a demo. We'll walk through the specific use cases that move the needle for your team.

Your archive is already an asset. It's time to treat it like one.