AI for Agencies: One Platform, Every Client, 60+ Models
Qolaba is AI for agencies that finally works the way an agency runs. One login for your whole team. A separate workspace per client. 60+ AI models for every deliverable. No per-seat fees. Pay only for what you actually run.
Trusted by 285,000+ users · 4.8 on G2 · Backed by Google Cloud & NVIDIA Inception
Quick Answer
Qolaba is the leading AI platform for agencies in 2026, offering isolated per-client workspaces, 60+ AI models (GPT-5.5, Claude, Gemini, and more), custom AI agents, and usage-based billing from one shared credit pool. Manage multiple clients without data crossover, bill AI usage per client, and give every team member access to the right models.
Why most AI tools for marketing agencies fall short, and what fixes it
The standard AI subscription is designed for one person doing one type of work. Whether you run a lean AI marketing agency or a full-service AI agency, the shape of the work is the opposite: multiple people, multiple clients, multiple output types, all running at once.
The result is a pile-up of subscriptions, contexts, and logins that create as much friction as they save. A 6-person agency typically pays for ChatGPT, Midjourney, a voice tool, an image editor, and something for the developers. That is five billing lines, five logins, and five places where your team's work disappears at the end of the session.
The core problem is not the tools. It is that none of the usual AI tools for agencies were built for a team managing multiple clients in parallel. What a modern AI digital marketing agency needs is one platform that treats each client as a first-class workspace, lets any team member pick up where a colleague left off, and keeps every brand's data walled off from the next. That is the gap Qolaba was built to close.
One workspace per client. One platform for everything.
Every client on Qolaba gets their own isolated workspace. Inside that workspace:
- →The client’s brand guidelines, brief history, and approved copy live in the knowledge base
- →A custom AI agent is set up with the client’s voice, audience, and constraints baked in
- →Every team member working on that client opens the workspace and starts immediately, with no re-briefing
- →The client’s data never bleeds into another client’s workspace
When Client B's account manager opens their workspace, they cannot see Client A's files, conversations, or context. The isolation is structural, not policy-dependent.
What a client workspace contains
- →Knowledge base: brand guidelines, tone documents, past briefs, approved examples, audience profiles
- →Custom agent: named, instructed, assigned a model, and shared with everyone on the account
- →Conversation history: every session saved, searchable, and available to the whole team
- →Saved prompts: recurring task templates available to everyone, including social captions, ad copy, report outlines, image briefs
What agencies actually produce, and what covers it
For AI marketing agencies, the win is simple: one platform, one credit pool, and your team chooses the model that fits the task, not the one you happened to subscribe to.
| Deliverable | Tool on Qolaba | Credit cost |
|---|---|---|
| Blog post first draft | DeepSeek V4 Flash or Grok 4.3 (fast, cheap) | 2 credits |
| Client-facing copy edit | Claude Sonnet 4.6 (quality and voice) | 5 credits |
| Campaign concepts and strategy | GPT-5.5 or Claude Opus 4.8 | 5 to 10 credits |
| Social media images | FLUX.1 Dev, Nano Banana 2 | 8 to 21 credits |
| Client presentation visuals | FLUX.2 Pro, Ideogram V4 | 19 to 34 credits |
| Video ad scripts | GPT-5.5 or Claude Opus 4.8 | 5 credits |
| Short video clips (5 sec) | Runway Gen-4.5 | 156 credits |
| Voiceover for video | ElevenLabs TTS | 5 to 8 credits / 100 words |
| Market research synthesis | Sonar + GPT-5.5 | 5 to 7 credits |
Add team members, not per-seat fees
Most AI platforms charge per seat. A 10-person agency pays 10x whether every person uses the tool heavily or occasionally. In a real agency, that split is rarely even. Account managers use AI daily, others use it twice a week.
Qolaba uses a shared credit pool. Your team draws from one pool. Heavy users draw more. Light users draw less. The total reflects actual usage. Adding a new team member does not add a billing line.
Team roles
- →Owner: full access, manages billing and team
- →Admin: can create and edit workspaces, manage team members
- →Editor: can work in assigned workspaces, cannot manage team
- →Viewer: read-only access, useful for clients who want visibility without editing access
Your clients' data stays separate, by design
A client brief in Client A's workspace is structurally inaccessible from Client B's workspace. This is not a settings toggle. It is the architecture.
For agencies managing brand-competitive clients in the same vertical, whether two competing retail brands, two automotive accounts, or two SaaS companies, this separation is not a nice-to-have. It is a professional obligation.
The Teams plan includes an AVV (Auftragsverarbeitungsvertrag, a data processing agreement) for teams with DSGVO obligations. If your agency operates in the EU or manages EU client data, this is the plan that gives you the documentation your clients' legal teams will ask for.
Before and after Qolaba
Before
After
- →Monday morning: account manager opens ChatGPT, types the client brief again, explains the brand voice again, gets a mediocre first draft
- →Image round: opens Midjourney separately, re-enters the visual brief, downloads, uploads to Slack
- →New team member: takes three sessions of shadowing to learn the AI workflow for each client
- →Monthly billing: five tool subscriptions, varying usage, difficult to attribute to client accounts
- →Monday morning: account manager opens the client workspace, the agent already knows everything, first prompt is already productive
- →Image round: switches model in the same session, same context, generates images without re-briefing
- →New team member: opens the workspace, reads the knowledge base, starts contributing in session one
- →Monthly billing: one credit pool, usage attributed by workspace, reportable by client if needed
Deliver like a full-size agency, from one platform
“Qolaba became our secret weapon for client work. Our team now delivers work that looks like it came from a 20-member agency.”
This is what AI for marketing agencies looks like in practice: every deliverable an agency ships, covered from a single workspace and one shared credit pool.
Campaign copy
Briefs, taglines, landing pages, and email sequences drafted from saved prompt library templates, so every writer starts from the same on-brand foundation instead of a blank box.
Social and brand visuals
Post graphics, ad creative, and brand mockups generated in the same session, then produced in bulk with batch processing when a campaign needs 30 variations, not three.
Video ad scripts
Hooks, storyboards, and full ad scripts written in each client's voice, ready to hand to your editor or pair with a generated voiceover.
Client reporting
Performance recaps and summary decks pulled together from your notes using prompt library templates, so every client report follows one consistent format.
One platform for every client, every deliverable, every team member.
Start with one client workspace. Build the knowledge base. Set up the agent. See how long the first session takes compared to before.
AI for agencies: common questions
One login. Every client. Every deliverable.
400 credits on signup. No credit card. Separate workspaces, shared team access, 60+ models.