Google powers the AI.
We power the team.
A creative workspace for Imagen, Gemini, and Veo — with the presets, lineage tracking, and team controls that Vertex AI doesn't ship with. Your GCP account. Your data. Zero markup.
Sound familiar?
1 / 8The Creative Team
Your creative team wants to produce the next award-winning short film on Veo.
Storyboards, character consistency across 200 frames, reference images that don't expire mid-project.
What actually happens
Reference images expire every 48 hours.
No persistent uploads, no visual lineage. You're re-uploading the same storyboard assets every other day — and losing the prompt that made frame 47 perfect.
Sound familiar?
Every team has a vision
Google's AI models can get you there. But the tooling around them? That's where things fall apart.
Your creative team wants to produce the next award-winning short film on Veo.
Storyboards, character consistency across 200 frames, reference images that don't expire mid-project.
Reference images expire every 48 hours.
No persistent uploads, no visual lineage. You're re-uploading the same storyboard assets every other day — and losing the prompt that made frame 47 perfect.
Your marketing team wants to launch the next viral campaign with Imagen.
A/B variants of hero images, on-brand color palettes, six formats per asset — all before lunch.
2,000 unnamed PNGs in a flat folder.
No tags, no A/B tracking, no shared presets. One designer uses 1024px, another uses 512px with a different negative prompt. Every output looks different.
Your illustration team wants to ship a 32-page children's book with consistent characters.
Same face, same outfit, same art style — page after page. One prompt tweak shouldn't break everything.
30 iterations deep and you can't find version 12.
No branching, no visual tree. One prompt tweak and you're starting the whole character over — hoping this time the face stays consistent across all 32 pages.
Your product team wants AI-generated UI mockups that actually match the design system.
Reusable presets, shared references, and a visual history so nobody re-invents the wheel.
Every designer on your team prompts differently.
No shared presets, no style enforcement. One person uses 1024px with detailed system prompts, another uses 512px with a one-liner. Every mockup looks like it came from a different app.
Your content team wants to build a reusable library of AI-generated product visuals.
Hero images, social crops, email banners — all pixel-consistent with brand guidelines across every touchpoint.
You generated the perfect image — then lost the prompt.
No history, no lineage. You're copy-pasting prompts into spreadsheets just to remember what worked. Re-creating that perfect hero shot? Start from scratch.
Your agency manages six clients who each need a distinct visual identity from the same AI tools.
Per-client projects, isolated assets, separate budgets — and zero chance of one brand's work leaking into another's.
All six clients share one GCP project.
No project isolation. Assets bleed across accounts, costs are lumped together, and one client's style references accidentally end up in another's generations.
Your client has asked for a detailed breakdown of every AI generation on their project.
Itemized costs per model, prompt history, who generated what — a clean audit they can review before approving the next invoice.
Your team is using the same GCP project for four other clients.
Vertex AI doesn't track who generated what. Costs are lumped by service account, not by project or person. Building that client report means guessing from timestamps in a spreadsheet.
You're onboarding three external freelancers who need access to your AI generation pipeline.
Quick setup, scoped permissions, clear usage limits — and the confidence nobody accidentally burns through the budget.
You have no idea who caused a sudden spike in your bill.
Vertex AI logs API calls by service account — not by person. When someone runs 500 generations overnight, there's no name attached. You're left guessing who to talk to.
A Workspace Built for Iteration
Built for Teams, Not Engineers
Your team creates. We handle the infrastructure, access control, and cost tracking underneath.
A Dashboard, Not a Middleman
Canvas workspace for visual lineage, gallery view for browsing, fuzzy search across every prompt and tag. Drag-drop references, sticky notes, folder groups — a proper creative studio instead of a cloud console.
Team Roles, Per Project
Owner, Manager, Editor, or Commenter — assigned per project. Open or invite-only access modes. Personal workspaces keep drafts private until published.
Credentials Encrypted at Rest
Service account keys are AES-256-GCM encrypted before they hit the database. Decrypted only in memory during API calls. Never exposed to clients, never logged.
Every Google AI Model, One Interface
Imagen 3 for images, Gemini for text and chat, Veo 3 for video. Switch models mid-project, compare outputs side by side, and see capability badges so your team always picks the right tool.
Reusable Presets & Marketplace
Save model configs, prompts, and references as shareable Presets. Install curated presets from the built-in Marketplace or fork and customize them for your team.
Automated Pipelines
Chain models together. Generate a brief, extract characters, and render a storyboard in one click.
Stop Managing GCP,
Start Creating
Google Cloud was built for developers. Your creative team shouldn't have to become one just to use the world's best AI models.
Cap Runaway Spending
Alerts notify, never stop
No hard caps on Vertex AI. One runaway batch burns your budget overnight.
Hard budget caps, per project and model
Hit the limit, generations stop. Cost estimate shown before every request. Budget guard reserves costs before jobs start — even concurrent users can't exceed the cap.
Isolate Every Project
One flat project for everyone
All clients, usage, data, and billing mixed into one GCP bucket.
Scoped projects with invite-only access
Each project gets its own budget, service account, storage prefix, and member list. Data never leaks between projects.
Trace Every Dollar to a Person
Logs show API calls, not people
Vertex AI logs requests by service account — not by the human who clicked 'Generate'. No way to attribute cost or output.
Full audit trail with cost attribution
Every generation, chat, and edit is logged with who did it, which model, how many tokens, and the exact cost. Queryable by project, user, or date.
Lock Down Credentials
Too many people need console access
Granting Vertex AI access means granting GCP access. More IAM roles to manage, more risk.
One admin connects, everyone else creates
Service account keys are AES-256-GCM encrypted at rest. Only the admin who set them up can view or rotate them. Your team uses GenCanvas — never the GCP console.
Your GCP Bill. Nothing Extra.
We're a dashboard, not a proxy. Your API calls go straight to Google through your own service account. We never touch your billing.
We Mapped Every GCP Gap — Then Built the Fix
Google Cloud was designed for engineers. These 36 features are what it takes to make it work for everyone else.
Set Up Once, Then Forget GCP
One technical admin does three things. After that, every designer, producer, and creative lead on your team just creates.
Admin Setup
Create a GCP project and service account
Set a Cloud Storage bucket for context files
Enable billing on your GCP project
Team Experience
GCP Is Under the Hood.
We Put Your Team Behind the Wheel.
Your team shouldn't have to pop the hood just to drive.
Behind the Wheel
Everything your team actually touches
Under the Hood
Google Cloud Vertex AI
Your API calls go directly to Google. We never proxy, cache, or mark up your usage.
Stop configuring.
Start creating.
Connect your Google Cloud account once. Your team gets a creative studio — you keep full control.