the architecture

Four layers. One platform.

The White Label AI Infrastructure for Marketing has four layers. They are not optional. Piecemealing them won't do.


Bottom-up. The way it stacks.

04
Governance & Collaboration
Workspaces · projects · RBAC · sharing controls · white label · unlimited users · audit logs · 470+ row-level security policies · SOC 2 Type II · ISO 27001.
the eliminate-shadow-AI layer
03
Capabilities
Marketing-native workflows. Studio · 17 Skills · 30+ Maestros · 28 Playbooks · Visual / Video / Audio / Data Viz Hub · Focus Group · Model Council. Strategise · Build · Create · Evaluate.
a model with a job description
02
Knowledge & Context
Brand Vaults · Memory Vaults · Personal Vaults · live data sources · project context. Up to 14 layers of context behind every reply.
the central nervous system
01
AI Stack
48 frontier models from 10 providers. Text, image, video, audio, research, execution. Auto-routed. Always current.
the model-agnostic foundation

Why each layer matters on its own.

layer 01 · ai stack

Different jobs need different models.

Forty-eight frontier models, ten providers, kept current automatically. When a new frontier model lands on Tuesday, your team has it on Tuesday. You don't compare benchmarks. The platform routes.

Your stack is a problem an infrastructure solves once. It is not a problem your team should be solving every week.

layer 02 · knowledge & context

Brand-faithful by default.

Brand Vaults, Memory Vaults, Personal Vaults. Up to fourteen layers of context behind every reply. Every model on Layer 01 reads from Layer 02 on every run, because models without context hallucinate brands.

Your AI shouldn't have to be re-introduced to your brand every time you talk to it.

layer 03 · capabilities

Marketing-native workflows.

Studio for the open conversation. Skills for sharp single-purpose work. Maestros for strategic perspective. Playbooks for end-to-end campaigns. Hubs for visual, video, audio, data viz. Focus Group and Model Council for evaluation. Strategise · Build · Create · Evaluate, all on the same canvas.

A capability is a model with a job description.

layer 04 · governance & collaboration

No shadow AI.

Workspaces, projects, role-based access, sharing controls, audit logs, white label, unlimited users. Per-seat pricing for AI is an idea whose time has not arrived. SOC 2 Type II, ISO 27001, four hundred and seventy row-level security policies.

Shadow AI is what happens when an organisation has AI without infrastructure. Layer 04 is how you stop having shadow AI.


All four. Or none of them.

A model on its own is raw material. A capability on its own is a tool. Workflows without governance are a security incident waiting. Governance without context is a process diagram nobody reads.

The four layers exist together because marketing teams need them together. Together they stop being a stack of tools and start being an infrastructure. We named the category. We built the first one. We intend to defend it.