Enterprise-grade is a structure, not a size
Structured brand context, reusable controls, model routing, approvals, permissions, production memory and analytics are useful long before you have 500 employees.
Build like an enterprise. Without becoming one.
We build your company a production-ready AI system for image and video — configured around your brand, your workflows and your team. No AI hire. No tool sprawl. No months of experimentation. From $3,000 · live in 7–10 business days · 1–2 production workflows included. You talk to a real AI production architect, not a sales bot.
✓300,000+ generations analysed
✓Leading image and video models
✓Built for professional production
✓Setup, training and ongoing support
For founders and lean teams
Most small teams solve these one by one. We set up the whole production layer at once.
Every question above is a workflow problem, not a model problem. Buying another tool adds a twelfth tab. Building the production layer answers all of them in one pass.
You probably don't need another AI tool.
Your team already has access to chat assistants, image generators, video models and a dozen new AI products. The problem is what happens after that. Which model do you use for this job? How do you keep the brand consistent? How do you reproduce a result that worked? How does one concept become thirty assets? Where do approvals live? And what happens when the person who wrote the prompt leaves?
✓Model choice stops being a coin flip
✓Brand rules survive the generation
✓Good results can be reproduced
✓One concept becomes a full asset family
✓Approvals live beside the work
✓The setup outlives any one person
Enterprise-grade ≠ enterprise-sized
You're small now. That is exactly why this is the right time to set it up properly.
Enterprise here describes how the production system is structured, not how many people work in your company.
You can build the foundation at 3, 10 or 30 people
The workflows large creative teams rely on do not require a large creative team to run. They require someone to set them up once.
Rebuild it every six months, or build it once
Most companies reassemble their AI stack each time they grow. Start with infrastructure you will actually be able to scale, and growth stops costing you the setup.
What we mean by enterprise
Not more software. Better production infrastructure.
Founders often skip anything labelled enterprise, assuming it means procurement, seat minimums and a six-month rollout. Here it means the production layer is structured — which is cheaper to do at ten people than at a hundred.
Explore the full AI Creative Workflow SetupAccess is controlled
People get the models, credits and permissions they need — and nothing they do not.
Workflows are orchestrated
The route from brief to approved asset exists as a thing your team can run, not as a habit.
Brand lives in production
Assets, approved references and reusable controls sit where production can reach them.
Production is measurable
Usage, generations and activity stay visible instead of disappearing into individual accounts.
Your brand is structured for AI
Written as instruction a model can follow, not uploaded as a PDF and hoped over.
Your best workflows are repeatable
Saved as a workflow in the workspace, not in someone's chat history.
Your team uses the right models
Without everyone independently testing everything on company time.
Production can scale
One approved concept becomes multiple assets, formats and placements.
Roles match the team
Who can generate, who can review, who can approve — set once and adjusted as you hire.
Feedback is retained
Approvals and production decisions become context for the next cycle.
Production is visible
You can see what is being made, by whom, with which models and at what cost.
The system survives people
When someone changes role, the working setup stays in the company.
What we configure
The system is built around your work, not around a template.
Ten things get set up during the engagement. All of them are included in the base price.
We build it for you. Not here's the platform, good luck.
We configure the entire system around the work your company actually needs to produce. When the setup is finished your workspace is already populated with your own projects, assets, references and controls — so the first real brief can run through it on day one.
Brand system
Logo, fonts, colours, photography, talent, tone, product rules and approved references.
Creative Controls
Camera, lighting, environments, styling, people, products, composition and the variables you keep changing.
1–2 production workflows
The work your team needs most, built as a workflow you can run again.
Model setup
The right image and video models configured behind each workflow.
Creative Memory
Production context starts accumulating from day one rather than after the first campaign.
Reviews and approvals
A repeatable review process instead of feedback scattered across tools.
Permissions and limits
Models, roles, usage and credits controlled as the team grows.
Assets and references
Everything reusable lives in one production environment.
QA rules
The checks output has to pass before it goes out.
Training
We teach the actual team that will use the system, not a named list of seats.
Where founders usually start
Find yourself in this list in about ten seconds.
Eight workflows we build most often. The one you pick first is usually whichever one is currently eating your own evenings.
All production use cases on Mujo AIStart with the workflow costing you time today.
We do not implement AI in general. We start with the one job your team repeats most often, get it working end to end, and build the second one around whatever that reveals.
Social content engine
Idea into creative direction, image and video, and every social format you post in.
Paid creative production
Concept into variations, ratios and testing assets for paid media.
Product photography
Product input into studio, lifestyle, ecommerce and campaign imagery.
Founder and personal brand
A consistent founder identity across social imagery, video and recurring content.
UGC production
Idea into hook, AI talent and vertical-video variants.
Ecommerce content
SKU into hero, lifestyle, listing and campaign adaptations.
Real estate and interiors
Render or reference into polished imagery, formats and video.
Campaign production
Brief into concept, production, review and multi-format delivery.
Live production workflows
Built in your workspace, handed over working.
Not a diagram in a slide. The workflow runs on your material before we hand it over.
A workflow is a thing you run, not a prompt you remember.
The workflow is built on the Node Canvas inside your own workspace, using your own references and controls. Your team can open it, run it, change one variable and run it again — which is the part that makes production repeatable rather than lucky.
✓Scene, character, location and lighting as controls
✓Image and video steps in one route
✓Change one variable, hold everything else
✓Run it again next month without rebuilding it
Consistency is the real product
The second campaign is where most AI setups fall apart.
The first impressive generation is never the problem. Everything after it is.
One creative direction. A gallery that actually matches it.
Consistency is the thing that breaks first and costs most. A good single generation proves nothing; the test is whether the fortieth asset still looks like the first one, in a different format, made by a different person, three weeks later.
✓Brand rules applied to every generation
✓Approved references kept and reused
✓Camera, styling and product treatment held steady
✓The same direction across image and video
What this actually is
Get the AI production capability before you build the AI team.
The three things founders usually compare this against — a hire, a consultant, a support plan — each solve a different quarter of the problem.
Not your first AI hire
Hiring an AI specialist before you know which workflows matter means paying someone to experiment. We do the architecture and the implementation first, so new people later join a system that already works.
Not consulting
Consultants tell you what you should build. We configure it, test it, generate through it and fix what breaks — inside your workspace, on your material.
Not software support
Support tells you where the button is. We build the production system with you and train the team that will run it.
Not a one-off experiment
If you want it, we keep optimising the setup as models and your business change. If you do not, the setup still stands on its own.
Before and after
Eight tabs and a prompt document, or one production system.
Before: a chat assistant, an image tool, a video tool, a drive folder, a chat workspace, a document of prompts that half the team has, a stack of experiments nobody catalogued — and the founder still checking every asset. After, it is the eight things below.
Brand
Structured as production context instead of a PDF nobody opens.
Workflows
The routes your team repeats, saved where the team can run them.
Models
Chosen per production problem rather than per personal preference.
Controls
Camera, lighting, styling and product rules as reusable settings.
Memory
Approvals, rejections and decisions retained on the project.
Approvals
Review states and sign-off beside the work they refer to.
Assets
References and source material organised for reuse.
Analytics
Production activity, usage and models visible in one place.
Live in 7–10 business days
Don't spend the next three months figuring this out.
Setup ends when the workflow works — not when the presentation is finished.
Day 1–2 — Understand
We review your brand, your team, your current process and the creative work you actually need to produce.
Day 3–5 — Build
We structure your production context and configure the workspace, Creative Controls and workflows.
Day 5–8 — Test
We run real production on your own material, find the failure cases and refine the setup.
Day 8–10 — Launch
We train the team and hand over a working production system.
Why Mujo
You don't need to spend 300,000 generations learning what we already learned.
We recommend, configure, test and refine on the basis of what we have observed in production. We do not claim to know in advance which model will always win.
We know what happens after Generate.
Mujo is built around production rather than around generation: workflows, controls, team production, reviews and scaling. The setup is designed by people who produce commercial work on the platform every week, across advertising, ecommerce, fashion, real estate, automotive, FMCG, tech and corporate creative.
300,000+ generations
Structured production data across hundreds of thousands of generations, growing every day.
Multi-model by design
Image and video production across leading models instead of betting your workflow on one vendor.
Built around production
Workflows, controls, team production, reviews and scale — not a generation box with a prompt field.
Real production experience
We work across advertising, ecommerce, fashion, real estate, automotive, FMCG, tech and corporate creative.
Production intelligence
Observed model behaviour, use-case patterns and production data inform how your setup is built.
Visibility
A production system you can measure is a production system you can budget.
This matters more at ten people than at a thousand, because at ten people the cost of guessing comes straight out of runway.
Production you can see, from the first week.
Usage, generations, models and activity stay visible inside your own environment, so the question "what are we actually spending this on" has an answer that is not a guess.
✓Generation activity by project
✓Model usage across the workspace
✓Credit and usage visibility per member
✓Production volume over time
What growth looks like
The setup is the thing that stops being rebuilt.
Everything below exists from day one, whether or not you need it yet. That is the point — you grow into the system instead of out of it.
Team workspace and governanceSeparate workspaces
Keep brands, clients or product lines apart as you add them, without rebuilding anything.
Team collaboration
New people join an existing production system instead of inventing their own.
Permissions and model access
Decide who can use which models, with what limits, as the team grows.
Reusable workflows at scale
The workflow built in week one is the one running a year later, extended rather than replaced.
Everything below is included in the base setup. From $3,000.
Configured Mujo workspace
Set up around your company, not around a template.
Project structure
Projects and assets organised the way your team works.
Structured brand system
Brand and production requirements written as model instruction.
Reusable Creative Controls
The variables you keep changing, saved as controls.
Approved references
The material that proved the correct result, kept for reuse.
1–2 production workflows
Working, tested, and yours to run.
Image and video model setup
The right models configured behind each workflow.
Creative Memory initialised
Context accumulating from the setup onwards.
Review and approval process
Review states, sign-off and QA rules relevant to your output.
Permissions and usage controls
Roles, model access, credits and limits.
Real test generations
Pilot assets produced on your own material during setup.
Training and post-launch support
Two sessions, unlimited participants from one team, and support after launch.
Pricing
Your company keeps building creative. We keep the system current.
The setup can be a standalone engagement — your system does not become obsolete the day a new model launches, and you are not obliged to retain anyone to keep it running.
Mujo AI platform pricingFounder AI Production Setup — from $3,000
One or two production workflows, live in 7–10 business days. Full workspace setup, brand system, Creative Controls, model setup, Creative Memory, reviews and QA, real test production and two training sessions. Powered by Mujo AI enterprise infrastructure.
Ongoing AI Production Optimisation — from $1,500 / month
Dedicated manager, production support, model updates, workflow improvements, new controls, QA refinements and Creative Memory optimisation as new models become available. Optional.
Enterprise Creative AI System — custom
For multiple brands, departments, markets and use cases, larger production volumes and ongoing implementation.
Who it's for
This is probably for you if any of these are true.
Nine situations rather than nine job titles — the stage you are at predicts the fit better than the title on your email signature.
You are still personally checking creative
Every asset passes through you, and that is now the bottleneck.
Your team already uses AI, differently
Everyone has their own tools, prompts and definition of on-brand.
You need more content without more headcount
Output has to go up before the team can.
Paid media wants more variations
Testing needs volume your current process cannot produce.
Your brand keeps drifting in generations
Each batch is a little further from the thing you approved.
You want to use video AI seriously
Not as an experiment, as part of what you ship.
You found good workflows but can't repeat them
It worked once and nobody can reconstruct how.
You are about to hire marketers or creatives
Better to hire into a system than to hire someone to invent one.
You don't want it trapped in one employee
The production knowledge should belong to the company.
Common questions
Founder questions, answered plainly.
If the question you have is not here, send it with your brief and we will answer it before quoting.
See work produced on Mujo AIWe're a 3–5 person team. Isn't enterprise overkill?
No. Enterprise here describes how the production system is structured, not how many people you employ. The structure is cheaper to put in now than to retrofit later.
Why not just use a chat assistant and a few AI tools?
You can, and many teams do. The setup becomes worth it when you need repeatability, brand consistency, multiple formats, team collaboration and production knowledge that survives individual people.
Do we need an AI specialist?
No. The point of the setup is to give your existing team a usable production system.
Do we need to know which models we want?
No. Model selection and workflow design are part of the setup.
Can we start with only one workflow?
Yes. One workflow working properly is worth more than two that half work.
What should we send you?
A brief is enough to start. If you have brand guidelines, campaigns, products, references or existing AI work, we will use them.
Do you create actual work during the setup?
Yes. The setup is tested using real production material, and you see the test generations, the failures and the corrections.
What happens after the ten days?
You can continue independently or retain us for ongoing optimisation from $1,500 a month. Both are normal.
Build the foundation now
Your next 100 campaigns shouldn't depend on 100 different prompts.
Build the AI production system your team can keep using as the company grows. Real person. No sales bot. No generic AI audit.