Creative Intelligence Systems · ecommerce & DTC

Systems that scalecreative production.

A brand-governed AI production system for planning, generating, reviewing, and delivering creative at scale.

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InfuseLab
system
Inputs
Brand context
Generation
Auto QA
Approval
Delivery
9
indexable workflows
1
human approval gate per batch
AI + human
from approved inputs to reviewed delivery

Selected brand and agency experience

Pletor
Pletor
Balance Coffee product bag placed in a coffee-growing landscape

Specialty coffee / production case study

Balance Coffee: 12 origin-story product photos in two days

One phone photo and a brand direction became a consistent origin-scene collection, now in the live store. The work moved from product input through location-specific art direction, generation, integration, and review.

  • One source product photo
  • Origin stories across five countries
  • Approved scenes in the live shop

The bottleneck is production, not ideas

Most ecommerce brands do not have a content problem. They have a systems problem. The AI tools exist; the pipeline does not.

Every campaign needs a fresh set of ads, product images, and video. Briefing each asset, producing it, and moving it through approval is manual work that does not scale with SKU count or channel count. Adding freelancers or point tools adds coordination cost without fixing the constraint.

What is missing is a system: approved inputs in, your brand context applied, a bounded generation workflow, an automated quality pass, a human approval gate, and delivery — running on a schedule your team owns.

One product, campaign-ready angles — sample 1
One product, campaign-ready angles — sample 2
One product, campaign-ready angles — sample 3
One product, campaign-ready angles — sample 4
01One product, campaign-ready angles
On-brand packshots from a product reference — sample 1
On-brand packshots from a product reference — sample 2
On-brand packshots from a product reference — sample 3
On-brand packshots from a product reference — sample 4
02On-brand packshots from a product reference
03UGC-style video ads across product categories

What the system controls

Approved inputs move through a defined workflow, automated checks, and a named human approval before delivery. The layers below show who owns each part of that process.

  1. 01

    Approved inputs

    Product photography, brand assets, briefs, and reference material the client has the rights to use. Nothing enters generation that has not been approved as an input.

  2. 02

    Brand and product context

    A structured record of voice, visual rules, product facts, claims boundaries, and prohibited treatments. Every workflow reads this before it generates anything.

  3. 03

    Generation workflow

    The specific pipeline for the task — multi-angle reshoot, packshot ads, spin video, UGC ad, listing assets. Each is a bounded, documented sequence, not an open prompt.

  4. 04

    Automated evaluation

    Model-scored checks against the brief and against realism criteria — scale, proportion, perspective, brand fit. Outputs that fail are regenerated before a human ever sees them.

  5. 05

    Human approval

    The approver reviews the batch that passed automated evaluation and accepts, rejects, or requests changes. This gate is mandatory and cannot be disabled.

  6. 06

    Delivery and learning

    Approved assets are delivered in the formats the channel needs. Rejections and change requests feed back into the brand context so the next cycle starts closer to approved.

See the full Creative Production System — ownership, governance, delivery, and fit.

Built for fashion, sport & retail teams

Commerce and product teams

Product imagery for ecommerce catalogues, wholesale accounts, and retail channels.

Brand and design teams

Campaign, lookbook, and concept visuals developed from approved product references and brand rules.

Agencies and marketing teams

Repeatable production workflows for recurring campaign assets across clients and channels.

Built with the tools we run

Claude Code
Codex
Cursor
Nous Hermes
Vercel
Grok
fal.ai
Wireflow
Figma Weave
Luma Labs

Prove one workflow, then install the system

Every engagement starts small and scoped. Pricing is set after discovery, not from a matrix.

  1. 01

    Workflow Pilot

    Prove one recurring production task on your real inputs.

    One defined workflow, one brand, one product or campaign, one approval loop, a short delivery window, and a written recommendation for the next layer. A paid proof engagement, not a free sample.

  2. 02

    System Implementation

    Install the Creative Production System around your brand and approval process.

    Discovery and system spec, brand context and rules, one or more workflows, evaluation and correction logic, an approval and delivery path, operator training, and an initial stabilization period.

  3. 03

    Managed System Partnership

    Keep the installed system operating, current, and improving.

    Production operations or operator support, monitoring and failure handling, prompt and model updates, monthly optimization, usage reporting, and minor improvements within a defined capacity.

Who this is — and is not — for

This fits if

  • Recurring creative demand tied to products, campaigns, or channels.
  • Approved product references and brand requirements to work from.
  • A named owner and approver for the workflow.

This is not for you if

  • A one-off asset with no recurring production need.
  • No internal owner for review and approval.
  • Fully unattended output or imagery and product claims without approved inputs.

Common questions

Book a strategy call

Bring one recurring production bottleneck, your approximate monthly volume, and the person who would own approval. You leave with a fit decision — not a free custom architecture session.

  • One recurring production bottleneck
  • Approximate monthly volume
  • The workflow owner and approver
Book a strategy call

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