A regional news channel's newsroom was built for the 8pm bulletin, while its audience moved to Instagram and YouTube, where news breaks every hour.
We built an autonomous newsroom that finds newsworthy stories, turns them into finished clips presented by an AI anchor, and publishes them with one operator in charge.
A single short news clip went through a researcher, a writer, a producer, an editor, a designer and a reporter, one after another. Each clip took a couple of hours at minimum to produce, most of it spent assembling rather than reporting. On social media, a story that old has already been covered by everyone else.
A director agent watches the live feeds and picks the stories. Researcher agents dig into the strongest ones in parallel. A writer scripts, a stage director adds shots and pacing, an editor reviews, and a sponsor agent places ads at natural breaks. The operator watches every agent's work on one screen.
Realistic AI anchors present every clip, with designed voices and accurate lip sync. We run the models on our own servers, which keeps a finished clip at a dollar or two. For cinematic formats, the same pipeline drives Unreal Engine MetaHumans.
The operator stops assembling clips and spends the time on sources, taste and the call to publish. Clips go out to Instagram, YouTube and wherever else the audience watches.
Explore how our core modules are deployed across different operational architectures.
Only a tenth of a 1,500-song catalogue had ever reached YouTube. We built the stack that produces the rest.
Devotion runs on sight and sound, not text. So we built a 3D Krishna who speaks, listens and remembers you.
We rebuilt how the hatchery runs, then put an agent on its phone line. Every call ends in a confirmed order.
