Shared projects
Campaigns and productions organised where the whole team can open them, not in one person's folder.
Your team creates with AI. You stay in control.
Mujo Team Workspace is one shared space for projects, assets, AI models, workflows, usage, reviews and approvals — so a team can produce with AI without every person running their own account, their own tools and their own invoice.
✓Shared credits and assets
✓Roles and model access
✓Reviews and approvals
✓Usage visible per member
The problem
Stop managing AI one account at a time.
Most teams arrive here the same way: a designer bought one tool, a producer bought another, social has a third, and a freelancer is generating on a personal login. Nobody can see the spend, nothing carries between people, and every new hire starts from an empty account.
A stack per person
- Designer, producer, social and freelancers each on their own tools and their own logins
- Separate invoices, renewal dates and seats nobody is tracking
- No way to see what was generated, by whom, or what it cost
- Work lives in someone's personal history, not in a place the team can reach
- A new person starts from zero — no assets, no prompts, no approved setups
One Mujo workspace
- One place where the team reaches the models and tools they need
- One budget, allocated per member, with usage visible while it happens
- Roles decide which models and tools each person can open
- Projects, assets and approved setups belong to the workspace, not to a login
- Someone joining inherits the workflows the team already uses
Shared workspace
Everyone works from the same creative system.
When someone joins the team, they don't start from an empty AI account. They inherit the workflows, assets and creative context your team already uses.
Assets move into the workspace by dragging them there, and stay attached to the project and the settings that produced them.
Asset library
Generations, references, product shots and brand material in one place, searchable by what they are.
Prompt library
1500+ prompt presets plus the ones your team writes, pinned and reusable across projects.
Reusable workflows
Node Editor workflows saved as templates, so a process built once is a process the team can run.
Products and characters
Saved products and AI characters that stay consistent across everyone's work.
Generation history
Every run kept with the settings behind it, so a result from last quarter can be reproduced rather than guessed at.
Access and permissions
Give every person the right level of access.
Control which AI models and production tools individual members can use. Not a blanket seat — a role that decides what opens when they log in.
Members and rolesOwner, admin, member and viewer, assigned per person.
Model accessDecide which image and video models each role can run.
Tool accessSwitch production tools on or off per role rather than per conversation.
Admin permissionsWho can invite, who can change limits, who can approve.
See where AI spend goes before it turns into another stack of unmanaged subscriptions. Consolidate several AI subscriptions into one managed production environment.
Allocate creditsOne pool for the workspace, divided the way the team actually works.
Member limitsA cap per person, set before a large run rather than discovered after it.
Usage by member and by modelWho generated what, on which model, and what it consumed.
The admin view of the whole workspace.
Members, projects, credits and activity in one overview, so the person paying for it can see what they are paying for.
Reviews and approvals
Keep feedback where the work happens.
Teams should not have to generate in one tool, review in another and track decisions in Slack. Comments sit on the asset, and the decision stays attached to it.
Submit for reviewRoute a generation to the people who have to sign it off.
Comment in contextFeedback on the frame itself, not in a thread describing it.
Changes requested and approvedA state on the asset rather than a message someone has to remember.
History keptWhat was approved, by whom, and which version it was.
Shared production logic
Share how work gets made — not just the final files.
This is the part most shared drives and generic AI workspaces miss. Save the workflows, controls and production setup behind successful work, so the next person can reproduce it without rebuilding the process from scratch.
Assets
Products, references and approved frames the team already owns.
Creative Controls
Camera, lighting, pose and style saved as a setup anyone can load.
Node workflows
The steps wired together once and kept as a template.
Bulk production
The whole thing pointed at a table of inputs when the job is a list.
Outputs
Results that land back in the library, attached to the setup that made them.
From solo to team
Start with one creator. Add the team when it works.
Projects, assets, prompts and workflows can move from individual production into a shared workspace without rebuilding the process on another platform.
One creator
Everything starts as personal work: saved setups, a library, a way of doing things that already produces results.
A small team
The first two or three people join and inherit those setups rather than inventing their own.
A department
Roles, limits and approvals start to matter because more than one person is spending and shipping.
Multiple workspaces
Separate spaces per brand, client or market, with nothing bleeding between them.
Activity and visibility
Know what's happening across AI production.
The question a buyer actually asks is narrower than “analytics”: who is using what, how much, and for which production. The activity feed answers that one.
Activity logGenerations, submissions, permission changes and approvals in order.
By memberWhat each person produced and what it consumed.
By productionWhich project or campaign the work belongs to.
Workflows and assetsWhat was reused, and what was built from scratch again.
The short version. The full security picture lives on the Enterprise page.
No training on your data
What your team generates and uploads is not used to train models.
Role-based access
Models, tools and projects reachable only by the roles you allow.
Private workspaces
A workspace is closed by default; nothing is shared outside it unless you share it.
Activity visibility
An auditable record of who did what, rather than a folder nobody owns.
Who this is for
Built for teams producing creative at scale.
Not industries — the people who actually sign off on this.
Creative teams
Concepts, key visuals and finished assets produced in one place instead of across four tools.
Marketing teams
Campaign assets created, reviewed and shipped on the same calendar the campaign runs on.
Agencies
A separate workspace per client, with setups and assets that never cross between accounts.
E-commerce teams
Catalogue and listing production at a volume no shoot schedule covers.
Content studios
Short-form and video output at the pace channels consume it.
Creative operations
The person responsible for why production costs what it costs, and how to make it repeatable.
Frequently asked questions
Team Workspace, answered plainly.
Can we control which AI models each member can use?
Yes. Model access is set per role, so you decide which image and video models a designer, a producer or a freelancer can run.
Can admins set credit or usage limits?
Yes. Credits are allocated to the workspace and capped per member, set before a large run rather than discovered on the invoice.
Can teams share workflows and creative controls?
Yes. Saved control setups and Node Editor workflows can be published to the workspace so the next person starts from them. Shared controls are available from the first paid plan.
Can work be reviewed and approved inside Mujo?
Yes. A generation can be submitted for review, commented on in context, marked as changes requested or approved, and the decision stays attached to the asset.
Are projects and assets shared across a workspace?
Yes. Projects, generations, references and brand material belong to the workspace, so they stay available when people change roles or leave.
Is our content used to train AI models?
No. What your team uploads and generates is not used to train models.
Can a solo account grow into a team workspace?
Yes. Projects, assets, prompts and workflows move from individual production into a shared workspace without rebuilding the process elsewhere.
How is Team Workspace priced?
A free account covers image generation with 20 credits. Video generation and shared team setups start at the first paid plan; larger workspaces are quoted.
Turn individual AI use into a team production system.
Give your team the models and creative tools they need — while keeping workflows, assets, access and usage under control.
