AWS Elemental Inference alternative for broadcasters not on AWS
Short answer. AWS Elemental Inference brings AI ad context to teams on AWS Elemental. Edge Video AI gives live ad context to broadcasters and FAST channels that aren't on AWS Elemental.
Edge reads your live CTV or FAST feed about every 7 seconds. It tells the ad decision what is on screen going into each break, as live categories and keywords.
Works alongside your existing playout and ad server.
Edge Video AI is a video ad-context company. It is not an edge-computing or camera-analytics product.
Who this page is for
You run a broadcast or FAST channel.
Your encoding, playout or ad insertion is not AWS Elemental MediaLive and MediaTailor.
You still want the ad request to know what is on screen at the break.
What AWS Elemental Inference does
Here is only what AWS publishes on its own pages, with links.
- AWS says Elemental Inference applies AI in parallel with encoding, turning live and on-demand video into ready-to-use outputs and real-time contextual metadata. (AWS product page)
- AWS lists vertical video creation, clip generation, smart subtitles and contextual ads as its features. (AWS product page)
- AWS says the contextual metadata covers content categories, brand safety signals, objects, actions and scene descriptions. (AWS product page)
- AWS says it is set up through API calls or console settings within Elemental MediaLive and MediaConvert. (AWS product page)
- For contextual ads, AWS says MediaLive puts the Inference feed ID into the SCTE-35 ad markers, and at each break MediaTailor fetches the signals and turns them into targeting values for the ad server. (AWS What's New, 10 Sep 2026)
- AWS's MediaTailor guide lists a MediaLive channel with contextual metadata enrichment as a prerequisite, and says the setup without those markers is for testing only. (AWS MediaTailor guide)
- AWS says Elemental Inference can also detect people, environments, brands and on-screen text. Its MediaTailor guide recommends turning that off when the metadata is used only for ad targeting, to cut processing time.
If your stack is already AWS Elemental, that is a strong fit. If it isn't, read on.
For the AWS route in more detail, see our explainer on how Elemental Inference metadata reaches the ad break and our quick answers on Elemental Inference.
What Edge does instead
Edge tells the ad decision what is on screen going into each break.
- Live categories. What kind of content is on screen right now.
- Keywords. Plain words for the scene, so buyers can match an ad to it.
How it fits your stack
Edge works alongside your existing playout. It adds live categories and keywords to each ad request through your ad server or SSAI.
Side by side
| AWS Elemental Inference (as AWS describes it) | Edge Video AI | |
|---|---|---|
| What it is | AI applied in parallel with Elemental encoding: vertical video, clips, smart subtitles and contextual metadata | Live ad context: what is on screen going into each break |
| Where it is set up | Within Elemental MediaLive and MediaConvert | Alongside your existing playout and ad server |
| How context reaches the ad decision | MediaLive puts the Inference feed ID into the SCTE-35 ad markers; MediaTailor fetches the signals at each break | Live context through your ad server or SSAI |
| What reaches the ad request | In AWS's documented MediaTailor setup: content categories and brand safety signals, turned into targeting values for the ad server | Live categories and keywords |
| Good fit for | Teams already on AWS Elemental MediaLive and MediaTailor | Broadcasters and FAST channels that aren't on AWS Elemental |
Your options if you're not on AWS Elemental
- A layer that reads the live video and adds context to your own ad request. This is what Edge Video AI does. It works alongside your existing playout and ad server.
- Contextual vendors in the ad-buying path, such as IRIS.TV, Wurl and Anoki. Check each vendor's own pages for where its signal lands. Peer39 offers programmatic buyers pre-bid contextual, suitability and program-level CTV signals, plus post-buy analytics (peer39.com).
- Build it yourself on a cloud vision or video model. This gives you control, takes engineering time, and you own the timing at each break.
How to choose
- Where is your video processed today? If it already goes through MediaLive and MediaTailor, the AWS route is closest.
- Where does the label need to land? On your own ad request, in an SSP deal, or in a DSP segment.
- How much change can you accept? Edge works alongside your existing playout, through your ad server or SSAI.
- How late can a label be? Ask every vendor how close to the break it reads, and what happens if a label is late.
- What do you need beyond ads? AWS also lists vertical video, clips and subtitles. Edge focuses on ad context.
How to run a fair test
Pick one live channel.
Ask each vendor for a day of labels with frames.
Run a small test with each and compare on your own metric.
Why the moment beats the schedule
A schedule listing says which show is on.
It does not say what is on screen right now.
What is on screen can change in the minute before a break.
In an hour of a live tennis FAST feed we read, what was on screen a minute before most breaks had changed by the break.
So the useful read is the one closest to the break. Edge reads about every 7 seconds.
Frequently asked questions
Is there an AWS Elemental Inference alternative if we don't use AWS?
Yes. Edge Video AI gives live ad context to broadcasters and FAST channels that aren't on AWS Elemental. It reads your live CTV or FAST feed about every 7 seconds and adds live categories and keywords to each ad request through your ad server or SSAI. Works alongside your existing playout and ad server.
What does AWS Elemental Inference need for contextual ads?
AWS says Elemental Inference is set up through Elemental MediaLive and MediaConvert. For contextual ads, AWS says MediaLive puts the Inference feed ID into the SCTE-35 ad markers, and MediaTailor fetches the signals at each break. AWS's MediaTailor guide lists a MediaLive channel with contextual metadata enrichment as a prerequisite.
Do we have to change our playout to use Edge?
Edge works alongside your existing playout. It adds live categories and keywords to each ad request through your ad server or SSAI.
What does Edge send at each ad break?
Live categories and keywords: what kind of content is on screen going into the break, and plain words for the scene, so buyers can match an ad to it.
Why not just use the schedule to say what's on?
A schedule listing says which show is on. It does not say what is on screen right now. What is on screen can change in the minute before a break. In an hour of a live tennis FAST feed we read, what was on screen a minute before most breaks had changed by the break. Edge reads about every 7 seconds.
Does Edge make vertical video, clips or subtitles like Elemental Inference?
No. Edge doesn't make vertical video, clips or subtitles. It tells the ad decision what is on screen going into each break. AWS lists vertical video, clip generation and smart subtitles as Elemental Inference features.
Does Edge need MediaLive or MediaTailor?
No. Edge works alongside your existing playout. Its live context reaches the ad decision through your own ad server or SSAI.
Is Edge Video AI an edge-computing or camera-analytics company?
No. Edge Video AI is a video ad-context company. It reads CTV and FAST video for advertising. It is not an edge-computing or camera-analytics product.
See it on your own feed
We will show what Edge reads on a live feed like yours, and what it sends at each break.