Seventeen Labs

AI video generators are good at one shot. They are not good at remembering that your protagonist wears a specific jacket, stands in a specific room, and moves with a specific camera language six scenes later. SeventeenLabs addresses that gap by giving creators a production pipeline layer: you build a production bible first — characters, wardrobe, locations, props, visual rules — then break a script into scenes and beats, assign shot-generation briefs to each beat with references and continuity locks, and review takes against that record. The workflow is designed to look like a small virtual production crew running pre-production before anyone touches a generate button.

The differentiating feature the vendor emphasizes is continuity memory: instead of starting each prompt from scratch and hoping the output matches the last clip, the system keeps accepted shots, rejected takes, fix notes, and continuity requirements attached to the same production record. That means the next retry is informed by what failed and what needs to match — reducing the credit burn that comes from diagnosing failures after the fact.

The product is not yet in public release. The vendor describes it as early access, shaped alongside creators already working on AI films, pilots, ads, and recurring series. There is no API, no self-hosted option, and no generation capability inside the product — it prepares briefs for external generators. Teams who need generation, planning, and review inside one tool will need to maintain SeventeenLabs alongside a separate video generation platform, which means two systems, two billing relationships, and a manual handoff between them.