One engine, many models
Image, video and text models from the leading providers run in the same workspace and are updated centrally — instead of a separate subscription per tool, per person, per account.
For creative agencies
The AI production system for creative agencies
Mujo gives an agency one production layer across every account: generation with structured controls, node workflows, a bulk production board and a layers editor — with each client's assets, brand context and approvals kept in their own workspace.
A separate workspace per client
Four production modes, one system
Leading image, video and text models
Review, approval and rollout in one flow
What Mujo is
What an agency gets: a production layer, not a generator
Most AI tools stop at generation — one prompt, one result, no record of how it was made, and nothing that survives to the next brief. Mujo is the layer above that: the models, the controls, the client context and the production steps an agency repeats on every account, held in one place so the work is reproducible rather than rebuilt.
Controls instead of prompt writing
Format, style, lighting, camera, composition, market and brand concept are set as parameters — over 200 of them — so a junior and an art director briefing the same task get comparable results.
Client context that stays
Brand kits, products, AI characters, approved directions and prompt templates live in that client's workspace and are reused across briefs, seasons and markets.
How agency work runs in Mujo
From brief to delivery, inside one system
Briefs, generation, review, adaptation and hand-off sit in one system, so a campaign is not reassembled from chat histories, shared drives and separate subscriptions every time it moves a step.
Client workspaces
Each client gets its own environment — assets, briefs, brand kit, characters and team access kept separate from every other account.
Internal and client review
Feedback sits on the asset itself: comments, requested changes and sign-off, with a record of who approved which version.
Client-ready outputs
Key visuals, social sets, product imagery, storyboards and channel adaptations are produced in the same place they are reviewed and delivered.
Reusable production setups
A pipeline built for one campaign is saved and run again for the next brief, the next market or the next account.
Production modes
Four ways to produce. One system behind them.
Agency work is not one task, so one interface never fits it. Mujo covers the four modes a creative team moves between — and they share the same models, controls, client 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 — a key visual, a concept route, a frame for the pitch.
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 or the next client.
Bulk production board
For volume with fixed logic. One approved setup runs across a table of rows — SKUs, markets, formats — changing only what differs per row.
Layers editor
For finishing. Compose generated images with text, shapes, products and backgrounds on a layered canvas linked to the asset library.
What agencies build with Mujo
From the concept routes in a pitch to the hundredth market adaptation after it is won — the same system, the same brand context, the same client workspace.
Campaign concepts and key visuals
Concept routes, moodboards and hero visuals from a written brief — in time for the pitch.
Social variations at scale
One approved direction expands into posts, stories and cutdowns for every feed.
Product and e-commerce visuals
Packshots, lifestyle scenes and marketplace imagery without booking a shoot.
Storyboards and shot lists
Frame sequences, camera direction and shot lists before production starts.
UGC-style video content
Creator-style video built from scripts, hooks and AI actors — in volume, from one setup.
Localized campaign adaptations
The same campaign resized, re-cast and re-written for each market, season and audience.
Team control and visibility
Who can use what, on which client, and who signed it off
Model and module access per role, credit limits per member, a review queue from draft to approved, usage over time and an activity log of what was generated, changed and signed off.
Models and routing
Every major model, one production layer.
Models from OpenAI, Google, Midjourney, ByteDance, Kling and others run side by side, and each step of a workflow can use a different one. Prompts, references, versions and outputs stay in the client's workspace rather than scattered across individual accounts.
Image, video and text models in one runtime
Model chosen per step, not per subscription
Prompts, references and versions kept with the client
New models added centrally, not by each team
How Mujo compares
Coming from another setup? Here is the honest difference.
Most agencies 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 brief, the next market and the next account.
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 one workspace — with a separate environment per client and no dependency on the rest of a suite.
From a stack of separate subscriptions
A generator here, a video tool there, a chat for copy and a design app to assemble it. Each licence is per person, nothing is shared between accounts, and the process behind a good result disappears the moment the person who made it moves on.
From doing adaptations by hand
Resizing, re-cropping, swapping copy and rebuilding the same layout per market are the hours that are hardest to bill and easiest to automate. Running them as a saved setup changes what the team spends its time on.
Getting started
How agencies start: one client account first.
No agency moves every account at once. Mujo is normally introduced through one client: a complete working workspace is built for that account, and the difference is measured against the way the work is done today before anything else moves.
1. Discovery
We review how the account is produced 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 that client's recurring workflow.
3. Introduce the team
Creatives and account teams get access, the workflow is documented, and roles, permissions and review steps are agreed.
4. Measure against today
The new process is compared with how the work is done now, gaps are closed, and the setup becomes the template for the next account.
Client work that can pass a procurement review
Agencies are audited by their clients, not only by their own IT. Keeping each account's material in its own environment, with access and activity on record, is what makes that review straightforward.
Separate environment per client
Assets, brand materials, characters, workflows and permissions belong to one client's workspace and are not visible from another.
No training on your data
Uploads, prompts, references and generations stay private and are not used to train Mujo models or third-party models.
Ready for a client security review
Single sign-on over OIDC, role-based access, configurable data residency and isolated infrastructure for stricter requirements — with documentation and data-handling practices available on request.
FAQ
Questions agencies ask, answered.
What does Mujo do for a creative agency?
It replaces a stack of separate AI subscriptions and manual production steps with one system: generation with structured controls, node workflows, a bulk production board and a layers editor, sharing the same models, client assets and approvals.
Can we keep each client's work separate?
Yes. Each client has its own workspace with its own assets, brand kit, characters, workflows and team access. Material in one workspace is not visible from another.
Which AI models can the 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 role can use.
Can we reuse a pipeline across clients?
Yes. A workflow built for one campaign is saved as a template and can be duplicated into another account, then repointed at that client's brand kit, products and approved styles.
How does client review and approval work?
Comments sit on the asset itself. Work moves through a review queue — in review, changes requested, approved — and the activity log records who submitted and who signed off which version.
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, adds node workflows, bulk production and a layers editor, and keeps a separate environment per client — without a dependency on the rest of a suite.
Is our clients' data used to train AI models?
No. Uploads, prompts, references and generations stay private to the workspace and are not used to train Mujo models or third-party models. SSO over OIDC, role-based access, configurable data residency and isolated infrastructure are available where a client requires them.
How does an agency start?
With one client account. The current process is reviewed, a complete workspace is built for that account's recurring work, the team is onboarded, and the result is compared with how the work is done today before the setup is applied to other clients.
Get started
Start with one client account.
We build a complete working workspace for one of your accounts — then you measure it against the way that work is produced today.
One system instead of separate subscriptions
A workspace per client, with access on record
A process that survives to the next brief
