The Machine
Behind the
Creativity
Custom AI-augmented software and automation systems that eliminate the manual grind of post-production — so your team can spend every hour on the work that actually matters.
Content Ecosystems Break
on Volume
A shoot that generates 500 clips, 1,200 photos, and 40 hours of footage doesn't need more editors — it needs a system. Manual tagging, renaming, transcoding, organizing, and exporting at scale isn't a workflow problem. It's an engineering problem.
We build the infrastructure that turns raw media chaos into structured, searchable, delivery-ready assets — automatically.
Manual Tagging
Hours spent manually describing, labelling, and categorizing thousands of media files per project.
Inconsistent Naming
Disorganized file naming conventions that break search, versioning, and downstream delivery.
Pipeline Bottlenecks
Sequential handoffs between ingest, review, edit, and delivery that create delays at every stage.
No Single Source of Truth
Scattered assets across drives, clouds, and inboxes with no unified metadata layer to query or report on.
Built Iteratively.
Deployed in Production.
Three generations of the same idea — refined through real post-production workloads until it became something production teams could depend on.
The origin: a focused tool for AI-assisted video tagging and metadata generation. Built to solve one problem — getting structured metadata out of raw footage without touching every file manually.
Expanded to handle complex multi-format pipelines, custom tagging schemas, and configurable export profiles — designed for production teams managing high-volume content libraries.
The full platform: unified photo and video pipelines, LLM-augmented analysis, real-time activity logging, and a settings architecture that adapts to any content ecosystem. This is the current flagship.
What the System Does
AI-Powered Tagging
Computer vision and large language model integration analyses every frame, transcribes audio, identifies subjects, scenes, and moods — and writes structured metadata without human input.
Schema-Enforced Naming
Configurable naming conventions automatically applied at ingest — client codes, project IDs, date formats, resolution tags, and version strings enforced consistently across every asset.
Parallel Batch Processing
Multi-threaded ingest and processing pipelines handle hundreds of files simultaneously — video transcoding, photo resizing, format conversion, and metadata writing in a single pass.
Unified Photo + Video Pipelines
Separate optimized pipelines for photo and video media share a unified metadata layer — enabling cross-format search, reporting, and delivery from a single interface.
Real-Time Activity Logging
Every operation — ingest, tag, rename, export — is recorded with timestamps, checksums, and status codes. Full audit trail for every asset at every stage of the pipeline.
Configurable Export Profiles
Delivery specs for every platform and client — Instagram reels, broadcast masters, web proxies, archival packages — generated automatically from a single source file per project.
Ready to Automate
Your Pipeline?
Every content ecosystem is different. Tell us what your post-production workflow looks like and we'll map out what a custom automation system would look like for your team.