AI Production Pipeline

Feature-length output, held consistent across every shot and every episode, produced at a volume and pace traditional production could not reach, and defensible in terms of authorship and rights.

• Character design carried through the series on custom-trained models, so a face and a style stayed the same shot to shot.
• Real actor performance captured and transferred onto the designed characters.
• Real-time 3D environments for previz and background plates, giving grounded cameras and correct perspective.
• Finishing through a traditional pipeline, so the delivered frames sat to spec.
• Hybrid deployment: cloud models where scale and fidelity mattered, local open-weight models on our own workstations for privacy, fine tuning and cost control.

• Every controlling input was human authored, which protects both the look and the copyright position.
• A fallback existed for every generation step, so a single platform issue could not stall delivery.
• Every generation was logged for provenance and clearance.
• Sensitive assets and trained models stayed on premise and owned by the production.

The series was delivered through the pipeline end to end, and the same pipeline is what we now scope, build and run for other productions, rather than learning on their project.