AI for Film and TV Production

The conversation about AI in entertainment has been pretty much dominated by the wrong question for a few years now, which is whether models should be writing scripts. The more interesting question is what AI does for the parts of production that have always been slow, logistical, and expensive. Scheduling, continuity, footage management, dailies, post.

That's where we work, and we're explicit about it. We don't replace creative work, and we're not really interested in deploying anything that does.

Where it earns its keep

• Production logistics. Schedule conflicts, location turnover, and equipment availability all surfaced before any of them turn into reshoots.
• Footage management. Auto-tagging dailies, transcribing audio, and finding the specific take you're looking for across hundreds of hours of footage.
• Continuity. Tracking what an actor wore, where a prop sat, and which take is the master, across days, locations, and units.
• Post-production triage. Sorting and tagging assets, flagging takes for review, and summarizing notes from review sessions.
• Distribution metadata. Generating localizable summaries, scene descriptions, and accessibility tags at scale.

The lines we hold

We don't train on copyrighted material we don't have rights to. We don't generate likenesses of real people without explicit consent from those people. We don't replace performances. The job here is to take the unglamorous time sinks off the production team so the creative work has more oxygen, rather than to substitute for the creative work itself.

What working together looks like

Deployed inside the systems your production already runs, including Avid, ShotGrid, Frame.io, or whatever asset management you've built yourself, and configured around the way your team actually works on the ground. Get in touch with the specifics.