Products
CoJourno
Launching at NAB 2026 · Las Vegas · April 19-22
You've been to the AI demos.
You've sat through the vendor presentations. The roadmaps, the glowing interfaces, the confident claims.
After all of that, do you feel closer to solving the problem?
Or do you just feel like someone who went to the demos?
The problem with AI for media isn't the AI.
Every major AI vendor is a technology company that decided to enter media. Their products work, in the sense that the demos are impressive.
What they don't understand is the newsroom. They haven't been in the room at 4pm when the bulletin is in trouble and the social team is still manually reframing yesterday's packages.
The result is a market full of AI solutions looking for problems — and a newsroom full of real problems that nobody's solving.
AI for media was built by people who understand AI. Nobody asked whether they understood media.
A human being watches every clip, repositions the frame for social, re-exports. Dozens of times a day. Archive teams manually check, verify, and move files — while AI cataloguing tools sit beside them, connected to nothing.
These aren't hypothetical scenarios. They're the daily reality of every major newsroom we've walked into.
Why nobody fixed this already.
Fixing it requires two things rarely found in the same company: deep enough technical knowledge to build automations that survive a live news day, and deep enough editorial knowledge to understand what the actual problem is.
Not the problem as described in a discovery call. The problem as observed, sitting beside the people who have it.
Most technology companies have the first. Almost none have the second.
We have both. We aren't a technology company that entered media. We're a media transformation company that built the technology we needed when nobody else had built it.
Every Gambit started as a frustration we watched a journalist deal with. Not one started on a product roadmap.
The three Gambits launching at NAB.
CoJourno is an AI automation and orchestration platform for media organizations. It integrates with your existing MAM and NRCS — not as a separate tool, but as an automation layer inside the systems your journalists already use.
A Gambit is a self-contained automation that solves one specific problem. You choose the Gambits that match your pain points. Gambits run individually or chain together — the output of one feeding the input of the next.
You start where it hurts most. You add more as you need them.
What CoJourno is.
Gambit 01 — Intelligent Vertical Reframing
Broadcast is 16:9. Social wants 9:16. Between those two facts sits a human being, every day, doing a mechanical task with creative software.
The reframing Gambit uses AI face tracking to automatically convert horizontal video for vertical platforms. It doesn't centre-crop — it follows the subject, handles multi-person shots, and delivers a publish-ready output.
This Gambit alone recovers hours. Real hours. Measured hours.
Gambit 02 — Automated Social Publishing
Your package has aired. Now someone needs to watch it again, write a title, a description, select a thumbnail, and publish to each platform. For every piece of content. Every day.
None of that requires a human being. All of it currently involves one.
The social publishing Gambit generates titles and descriptions in your editorial tone, selects or generates a thumbnail, and publishes — automatically, or with a one-click approval step.
The story goes from air to social in minutes, not hours.
Gambit 03 — Automated Housekeeping & Archiving
In every newsroom we've studied, a media manager's day is dominated by manual housekeeping: checking what's expired, verifying archives, deleting working copies, filling metadata. Essential. Repetitive. Entirely automatable.
The housekeeping Gambit identifies assets, verifies metadata, moves content to the right storage tier, and flags exceptions for human review — according to policies you define.
This Gambit turns a daily bottleneck into a background process.