One engine, many models
Image, video and text models from the leading providers run in the same workspace, kept up to date centrally. A team picks the model per step instead of subscribing to each tool separately.
The AI production stack for marketing teams. Not one more image generator.
Mujo gives an in-house marketing team every way of producing creative in a single workspace: generation with structured controls, node workflows, a bulk production board and an AI-native layers editor — running on the leading image, video and text models, with brand assets, roles and usage limits in one place.
✓Four production modes in one workspace
✓Leading image, video and text models
✓200+ creative controls instead of prompt writing
What Mujo is
What a marketing team actually gets. A production layer, not a generator.
Most AI tools stop at generation: one prompt, one result, no record of how it was made. Mujo is the layer above that — the models, the controls, the brand context and the production steps a team repeats every week, kept in one place so the work is reproducible rather than re-invented.
Controls instead of prompt writing
Format, style, lighting, camera, composition, market and brand concept are set as parameters — over 200 of them — so two people briefing the same task get comparable results.
Context that stays
Brand kits, products, AI characters, approved assets and prompt templates live in the workspace and are reused by every mode, project and team member.
Production modes
Four ways to produce. One workspace, one brand context.
Creative work is not one task, so one interface never fits it. Mujo covers the four modes a marketing team moves between — and they share the same models, controls, brand assets and output library, so nothing is exported from one tool into another.
Generation with controls
For a single asset. Set the parameters, pick the model, generate. Use it for a key visual, a concept or a one-off post.
Node workflows
For a process with branching. Connect sources, prompts, models and edits on a canvas, save it, and run it again for the next brief.
Bulk production board
For volume with fixed logic. One approved setup runs across a table of rows — products, markets, formats — changing only what differs per row.
AI-native layers editor
For finishing. Compose generated images with text, shapes, products and backgrounds on a layered canvas linked to the asset library.
Inside the workspace
Where the work lives between the brief and the launch.
Assets, brand materials, reviews and approvals sit next to the tools that produced them, so nothing is reconstructed from a chat history or a shared drive.
Shared workspace
Projects, generated assets, brand kits and prompt templates in one place, available to everyone on the team.
Comments, review and approvals
Work moves from draft to approved inside the workspace, with comments on the asset and a record of who signed it off.
Brand kits and approved styles
Colors, typography, products, AI characters and approved visual directions are stored once and applied by every mode.
Every channel format
One approved direction is resized and adapted into social, display, email, marketplace and presentation formats.
The leading models, under your team's control.
Image, video and text models from OpenAI, Google, Midjourney, ByteDance, Kling and others run side by side and are updated centrally, so the team works with current models without managing subscriptions. On top of them sit structured controls — format, style, lighting, camera, composition, market, brand concept — that make a result repeatable rather than lucky.
200+Built-in creative controls
2000+Curated prompt templates
100+AI actors in the library
Quick-start tools
Ready-made tools for the jobs that come back every week.
A team does not build a workflow for every task. For the recurring ones, Mujo ships finished tools that already know the steps — and each of them draws on the same models, controls and brand assets as everything else.
AI photoshoot
Product and model imagery from a brief, a reference or an existing packshot — studio, lifestyle and editorial.
Content Studio
One asset becomes a set of posts, stories, clips and UGC-style videos for every feed.
Listing generator
Marketplace-ready product galleries with infographics, built from the product data you already have.
Node Editor
Build the pipeline once — every market, language and format comes out of the same graph.
How Mujo compares
Coming from another setup? Here is the honest difference.
Most marketing teams arrive from one of three places. What changes is not the quality of a single image — it is whether the process behind it survives to the next campaign.
From Adobe Firefly or GenStudio
Firefly generates with Adobe's own models inside the Creative Cloud stack. Mujo runs models from several providers side by side and adds node workflows, a bulk board and a layers editor in the same workspace — so the production layer does not depend on the rest of a suite, and the team is not limited to one model family.
From Canva plus a chat generator
A chat gives one result per prompt and keeps no record of how it was made; a design tool handles layout but not generation control. Mujo keeps the process: the same controls, models and brand assets apply on every run, and the setup can be reused by the whole team.
From outsourced production
Shoots and studio briefs price each asset separately and each round of edits again. Producing in-house moves the cost structure and keeps the brand context — references, characters, approved directions — inside your own workspace.
Team control and visibility
Built for a team, not for individual accounts.
The difference between a tool a few people use and a system a department runs on is governance: who can generate what, on which model, at what volume, and who approved the result.
Model and tool access
Decide which models and modules each member can use.
Members and roles
Owners, admins, creators and viewers, managed in one place.
Review and approvals
Track work from draft to approved, with comments on the asset.
Usage by member
See credits, generations and activity per person over time.
Activity log
A record of what was generated, changed and approved.
Security and data
A workspace your security team can sign off on
Private team workspaces, with isolated infrastructure available for organisations that have stricter data requirements.
No training on your assets
Brand inputs and generated work stay private to your workspace.
SSO and role-based access
Single sign-on over OIDC, with permissions managed per role.
Configurable data residency
Where workspace data is stored can be set to your requirements.
No generation queue
Team generations run at full speed, without throttling between members.
Getting started
How teams start: one workflow, then the rest.
Nobody moves a whole marketing department to a new production system at once. Mujo is normally introduced through a single recurring workflow, which is used to test output quality, governance and operating requirements before anything else moves.
1. Discovery
We review how the team produces today: brand guidelines, asset sources, approval steps and the content that recurs every month.
2. Build the workspace
Controls, presets, templates, approved styles, characters, brand assets and model access are set up for one chosen workflow.
3. Introduce the team
Creators and managers get access, the workflow is documented, and roles, permissions and review steps are agreed.
4. Evaluate and refine
The first workflow is compared against the old process, gaps are closed, and the setup becomes the basis for wider rollout.
FAQ
Questions marketing teams ask, answered.
What does Mujo do for an in-house marketing team?
It replaces a chain of separate AI subscriptions and manual steps with one workspace: generation with structured controls, node workflows, a bulk production board and a layers editor, sharing the same models, brand assets and approvals.
Which AI models can our team use?
Image, video and text models from several leading providers — among them OpenAI, Google, Midjourney, ByteDance and Kling — run in the same workspace and are updated centrally. Admins decide which models each member can use.
How do we keep output on brand?
Brand kits, products, AI characters, approved styles and prompt templates are stored in the workspace, and over 200 structured controls set format, style, lighting, composition and market. A workflow can be published with only chosen variables left open.
Can people who are not designers use it?
Yes. Someone on the team builds the workflow and decides what stays fixed; everyone else changes the exposed parameters and runs it. The underlying graph is not touched.
How is this different from Canva or a chat image generator?
Those produce one result at a time and keep no record of the process. Mujo stores the process — models, controls, brand context and steps — so the same setup can be rerun across products, markets and formats with consistent output.
How is this different from Adobe Firefly or GenStudio?
Firefly generates with Adobe's own models inside the Creative Cloud stack. Mujo runs models from several providers side by side and adds node workflows, bulk production and a layers editor in one workspace, without a dependency on the rest of a suite.
Are our assets used to train AI models?
No. Brand inputs and generated work stay private to your workspace. Single sign-on over OIDC, role-based access, configurable data residency and isolated infrastructure are available for teams with stricter requirements.
How long does it take to set up?
Teams normally start with one recurring workflow: the current process is reviewed, the workspace is configured with controls, presets and brand assets, the team is onboarded, and the result is compared against the old way of working before wider rollout.
Mujo for every way of working
The same core, set up for how you work.
What this looks like at 2,500 deliverables a month.
A large real estate developer is building its campaign production in Mujo across more than ten developments — concepts, static, HTML5, video and every market adaptation. The case study walks through how one marketing operation keeps that volume coherent.
2,500Planned deliverables per month
10+Residential developments
Creative MemoryLive in production
Give your marketing team a production system, not another generator.
Begin with one recurring workflow and see how it compares to the way your team produces today.
✓One workspace instead of separate AI subscriptions
✓A process the whole team can rerun
✓Brand context that stays with you