Large Output Optimization Model

Thread by thread.
Built to scale.

A proprietary system that audits and rebuilds creative production pipelines for large media companies, making them faster, leaner, and built for scale.

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The Problem

Large brands waste millions on broken pipelines.

Clients managing multiple teams and regions on the same campaign. Brand inconsistencies across teams, regions and vendors. Different processes and systems everywhere, unclear cost visibility, and highly manual work with constant timing misalignments.

MOOCO.LOOM is our answer. One integrated, AI-driven production system — built to deliver more volume, lower costs, better quality and faster deliveries through a single scalable pipeline.

Already deployed at Paramount. Designed for teams like Netflix, Amazon, Disney, and any brand producing creative content at scale.

Before the system

It starts with an audit.

No two clients are the same. Before we design or automate anything, we sit with you to understand the deep need behind the brief — the real bottlenecks, the political nuances, the goals that don't fit in a JIRA ticket.

The audit maps every step of your current production: tools, handoffs, approval cycles, hidden costs, brand drift. Only when we truly understand the problem do we design the pipeline that solves it.

Skipping this step is how most pipelines fail. Tools without context become more friction, not less. LOOM only works because every deployment is shaped by what we learn here first.

The Process

Then the system kicks in.

Once the audit shapes the design, the production engine takes over: four steps that move a campaign from intake to delivery — automated, supervised, and built to scale.

Step 01 — Data Intake

Every request enters through one organized door.

Requests come in through a structured intake, organized by campaign. Marketing information is centralized from the start, so nothing gets lost in email threads or scattered briefs. One source of truth feeds the entire pipeline.

ToolingStructured intake, campaign-organized
OwnerProducers + requestors
What happens
  • 01
    Centralized requestsOne intake, organized by campaign.
  • 02
    Structured dataBriefs become machine-readable fields.
  • 03
    Single source of truthMarketing info centralized upfront.
  • 04
    Campaign mappingEvery market and format accounted for.
Step 02 — Automated Production

Structured intake feeds straight into the production engine.

Campaign data flows directly into custom-built plugins and scripts inside the design pipeline. Templates auto-populate per market and format, localization is applied automatically, and mid-production changes swap in with a click. Manual work drops to creative judgment only.

ToolingTemplate-driven design pipeline + custom plugins
OwnerDesign & video teams
What happens
  • 01
    Auto-loaded templatesData populates every asset, every market.
  • 02
    Multi-market localizationSelect markets, set campaigns, done.
  • 03
    One-click swapsLegal, CTA, offer updated instantly.
  • 04
    Batch exportA full campaign ZIP, ready to ship.
Step 03 — QC

AI checks the specs. Producers own the quality.

AI QC agents validate specs, sizes and brand rules automatically — supervised by producers who sign off against delivery requirements. Local and central QC run on the same standard, so every market ships to the same bar.

ToolingAutomated QC plugins + producer review
OwnerProducers + library support
What happens
  • 01
    Automated spec checksSizes and formats validated by AI.
  • 02
    Brand complianceEvery output on the same guideline.
  • 03
    Producer supervisionHuman sign-off on every delivery.
  • 04
    Local + central QCOne standard across all regions.
Step 04 — Delivery

Approved assets ship themselves.

Final assets are auto-delivered to review hubs and partner placements, packaged per partner with the right specs. Delivered files are archived automatically. The whole loop runs the same way every time — globally, at volume.

ToolingReview hubs + partner placements
OwnerProducers, automated handoff
What happens
  • 01
    Auto-deliveryStraight to review hubs and partners.
  • 02
    Partner-ready packagingCorrect specs per placement.
  • 03
    Automatic archivingDelivered files filed, traceable.
  • 04
    Repeatable at scaleSame loop, every market, every week.
01 / 04
Case Study

Paramount+

One of the world's largest streaming platforms was producing localized creative across multiple markets with multiple teams, different processes, and entirely manual workflows. We rebuilt it into one centralized, automated production model.

Challenge

Multiple teams. Different processes. All manual. Brand inconsistency across regions and vendors, duplicated work, and no clear production cost visibility.

What we did

One unified production team for all regions. Centralized marketing info and asset management. A template-driven design pipeline with custom plugins, structured intake integration and automated QC.

Results

Over 85,000 assets produced in 11 months. Statics fully automated. Workflow standardized, faster and scalable globally, with brand alignment improved across all markets.

The Transformation

11 months. Four numbers that prove it.

  • Assets produced
    0baseline → +85Kin 11 months
  • Monthly average output
    manualbefore → 7,800per month
  • Highest monthly peak
    —before → +14.8Kin one month
  • Statics automation
    manualbefore → 100%automated
Production model One team. One process. Fully automated.
Built for teams like

Who LOOM is for

If your team ships creative at volume, across markets, on a deadline that never slows — LOOM was designed for the way you actually work. The brands below represent the kind of operation the system was built for.

  • 01

    Streaming Platforms

    Localized creative across markets, on weekly release cycles.

    Netflix Disney+ Max Peacock Paramount+
  • 02

    Global Media Companies

    Many brands, many channels, infrastructure that can keep up.

    NBCUniversal WBD Sony Pictures Spotify
  • 03

    Consumer Brands at Scale

    Thousands of assets a year, multiple markets, flat teams.

    Amazon Nike Unilever L'Oréal P&G
Get started

Ready to fix
your pipeline?

We start with a free 30-minute pipeline audit call. No commitment, no sales pitch, just an honest look at where your production is losing time and money.

Book a pipeline audit See our work