AI Custom Pipelines

An AI production pipeline in use

Section

AI

Deliverables

Custom Pipelines, Fine Tuning, Managed Service

Deployment

Hybrid Cloud & On-Premise

Not a fixed tool. A pipeline built for you.

We design and build custom AI production pipelines: a set of generative steps engineered around your exact workflow, with human authorship and review kept at the centre.

Where this comes from

We have already built and run a complete generative pipeline for a long-form episodic AI series, and that work shapes how we approach every new one. We know where these pipelines break, what holds up in production, and how to keep the output owned and defensible.

What we build

  • Custom pipelines shaped to your process, not a template.
  • Hybrid deployment: cloud models for scale and fidelity, local open-weight models on our own workstations for privacy, fine-tuning, and cost control.
  • Custom ComfyUI workflows and model fine-tuning on owned datasets.
  • Real actor performance captured and transferred onto designed characters.
  • Real-time 3D environments for previz and background plates.
  • Human review and quality control at every stage.

The shape of a pipeline

01Human-authored input
02Models, cloud and local
03Human review
04Output, logged and owned

Human authored, machine assisted

The look, the direction, and every final call stay with the people making it.

How we think about a pipeline

  • Every controlling input is human-authored, which protects both the look and the copyright position.
  • We keep a fallback for every generation step, so a single platform issue does not stall delivery.
  • We log every generation for provenance and clearance.
  • Sensitive assets and trained models stay on-premises, owned by the production.

Proven and repeatable

  • We have delivered a full pipeline covering character design, performance transfer, environment generation, and finishing on a feature-length AI series.
  • That experience means we can scope, build, and run a new custom pipeline for your production with confidence, rather than learning on your project.

Read the AI production pipeline case study โ†’

How we work with you

01Discovery of the workflow and the bottleneck
02Build and test against real material
03Handover to your team, or a managed service

Next step

Bring us a workflow to solve.

Next

AI VFX

Continue exploring โ†’

Tell us about the shoot. We will tell you what is possible.