Where AI earns its place in a pipeline — and where it doesn't.

AI in production pipelines

An honest assessment of where generative and ML tools actually help a VFX or post pipeline, and where they cost more than they return. Then the practical integration work.

• ComfyUI and ControlNet integration inside existing workflows
• LoRA training for show-specific looks
• HDR / EXR-native generation that respects your colour pipeline
• Wire removal and cleanup tooling
• AI-assisted storyboarding

Local and private AI infrastructure

For clients who can't send material to public APIs. Self-hosted inference, graph-backed retrieval, and hybrid designs where a managed layer such as AWS Bedrock can be swapped in or out without rework.

• On-prem and hybrid inference architecture
• Graph-backed retrieval over your own material
• Model-agnostic layers, so nothing is locked to one vendor

Custom tool development

Bespoke software for the cases where nothing off the shelf fits. The software page is the evidence — production knowledge suites, image processing, asset management and editorial handoff, all built and running.

Talks and training

Presentations for studios, film schools and industry bodies on AI in VFX. The argument is consistent: AI as a force multiplier for skilled practitioners, not a substitute for them.

Scoped, senior, handed over clean.

Engagements are scoped up front with a defined deliverable — no open-ended retainers, no junior staff learning on your show. Senior-only, start to finish.

Code and IP are delivered cleanly, with ownership stated plainly up front — your counsel gets a straightforward agreement rather than a negotiation.