AI Media Services
AI is used where it measurably saves time — and never where it costs control.
AI media work applies machine-learning tools to real production problems: restoration, upscaling, matting, transcription, versioning and asset generation. At Fuke's Media LLP, ai media services sits inside a single end-to-end visual production pipeline, so the same team that plans a shot can also finish it — no handoffs between disconnected vendors, no version drift, no surprises in the final conform.
Volume work — thousands of subtitle lines, hundreds of roto shots, whole archives to upscale — is where AI turns an impossible schedule into a feasible one. That is why production houses, OTT commissioners, agencies and brands bring this scope to a specialist partner instead of absorbing it in-house: dedicated artists, predictable turnaround, and a review loop that keeps the director in control of every frame.
Every AI output is treated as a first pass that an artist reviews and corrects; nothing ships on model confidence alone. Every project starts with a technical breakdown — plate audit, colour pipeline, resolution and frame-rate targets, delivery specs — before a single artist is assigned. Shots are tracked individually through 5 production stages, and each stage has a named owner and an approval gate.
We document which tool produced which element, so the client always knows the provenance of every frame delivered. Deliverables leave the studio only after an internal QC pass covering Processed image sequences or masters, Before/after comparison reels, Subtitle and transcript files and any client-specific delivery template. Where a project needs it, we work directly inside the client's own naming convention, folder structure and review platform.
AI is used where it measurably saves time — and never where it costs control. Whether the scope is a handful of hero shots or a full-season episodic volume, the workflow scales the same way — the same pipeline, the same QC, the same single point of contact from bid to final delivery.
Feasibility test: A paid-for-nothing pilot on your real footage before any volume commitment.
Pipeline setup: Model selection, parameter locking and batch automation for consistency across the volume.
Batch processing: Automated runs with per-shot logging and checkpointing.
Artist correction: Human clean-up of edges, artefacts, temporal flicker and mistranscriptions.
QC & delivery: Side-by-side comparison review and provenance documentation.
Use case: Archive restoration and upscaling
Use case: AI-assisted roto and matting
Use case: Automated subtitling and dubbing prep
Use case: Concept and previs image generation
Deliverables: Processed image sequences or masters; Before/after comparison reels; Subtitle and transcript files; Provenance and tooling report.
Is AI-generated content safe to use commercially? We scope tooling and licensing per project and document it, and we default to AI-assisted rather than AI-authored output for client-facing deliverables.
Will AI replace the artist on my project? No. It removes repetitive passes so artists spend their time on the judgement calls that actually affect the frame.
Can you upscale old SD masters? Yes — restoration, de-noise, de-interlace and upscale to HD or 4K, with a manual clean-up pass on artefacts.