Media operations platform
AI OS for MediaThe operating system for audience businesses.
One AI platform for content businesses, recommendation, audience analytics, ad targeting, and rights management. Built for streamers, publishers, and broadcasters who win or lose on engagement.
- 3x
- engagement lift
- real-time
- audience analytics
- ↓ churn
- predicted and acted on early
- 3 wks
- to first workflow live
One intelligent layer over your whole operation.
Media businesses live and die on attention: what people watch, how long they stay, and what the inventory is worth. Most operators run those on disconnected tools, a recommender here, an ad server there, rights in a spreadsheet. AI OS for Media puts one intelligent layer across content, audience, and revenue.
Recommendations are tuned to what your audience actually watches, not generic engagement bait, and churn is predicted early enough to act on. Ad targeting and yield are optimized against real audience signals, and rights and licensing are tracked with the windows, territories, and obligations that govern every title.
Production and metadata work, tagging, descriptions, compliance checks, runs automatically, so catalogs stay clean at any scale. It deploys in your environment, on a system you own, with your audience data staying yours.
Not a brochure. The actual product.
Scroll through the workflows your team will use every day, the screens move with you.
Surfacing what people actually finish
Recommendations trained on your audience and catalog, lifting engagement 3x over generic engagement bait.
Segments built from behavior, not demographics
One audience model powers recommendation, marketing, and ad sales, with churn risk visible per segment.
At-risk viewers caught before the cancel button
Churn predicted weeks early with win-back actions ready, and ad inventory priced against real audience signals.
Know what you can show, where, and when
Windows, territories, and obligations tracked per title and checked automatically against what you publish.
Northline S2 · US + CA window through 2027.[src]
UK window expired March 31
UK renewal drafted, pending legal
All other territories clear.
Everything, on one shared core.
Each capability runs on the same architecture, so they work together out of the box and your team owns all of it.
Content recommendation
Recommendations trained on your audience and catalog, surfacing what people actually finish, not just what they click.
Audience analytics & churn
Engagement, retention, and churn risk in real time, with the at-risk segments and the next action to keep them.
Ad targeting & yield
Inventory targeted and priced against real audience signals, so every impression earns what it is worth.
Rights & licensing intelligence
Windows, territories, and obligations tracked per title, so you always know what you can show, where, and when.
Production & metadata automation
Tagging, descriptions, and compliance checks generated automatically, so catalogs stay clean at any scale.
Audience segmentation
Segments built from behavior, not demographics alone, powering recommendation, marketing, and ad sales from one model.
Live in weeks, compounding from there.
Connect your systems
We integrate with the tools you already run, then map your data into domain-shaped models, no rip-and-replace.
Ground the AI in your world
Your documents, records, and rules become the context. Answers and actions are grounded in your operation, not the open internet.
Ship the first workflow
We launch a high-value workflow in weeks, with human review where confidence is low, and measure the result against a clear baseline.
Compound from there
Each workflow shares the same core, so every system you add makes the next one faster, and your team owns all of it.
Results you can measure.
Engagement lift
from recommendations tuned to your audience
Subscribers retained
at-risk viewers caught and won back early
Ad revenue per impression
targeting driven by real audience signals
Built around how you actually work.
Streamers & video platforms
Streaming & OTT
Lift engagement with recommendations built on your catalog and catch churn before the cancel button.
News & broadcast media
Publishers & broadcasters
Optimize ad yield against real audience signals and automate metadata across the archive.
Content & licensing teams
Rights & content operations
Track windows, territories, and obligations per title so nothing airs where it should not.
Works with your stack
Frequently asked.
It is trained on your audience and catalog, runs alongside churn prediction, ad yield, and rights on one shared core, and you own the models and the data.
See AI OS for Media on your catalog
Book a working session and we'll map AI OS for Media to your operation, then ship the first workflow in weeks.