The Platform

Five layers. One platform for enterprise intelligence.

Most AI stacks stop at orchestration. SuperBrains adds a layer above it where institutional intelligence accumulates under enterprise ownership, and it is this layer that changes the cost structure.

05
Layer 05 Spans every layer

Security, Governance & Observability

Trust Center
  • Policy and access by default
  • Agent evals in development and production
  • Tracing, metrics and alerts
  • Full audit trail
04
Layer 04

Company Intelligence Layer

The layer the enterprise owns. Knowledge, memory and skills accumulate from operational work, so recurring questions resolve against material the layer already holds.

  • Institutional knowledge
  • Compounding memory
  • Reusable skills
  • Continuous reasoning
03
Layer 03

Orchestration & Agent Studio

Where agents are built and run. Processes span systems and people without losing the thread between steps.

  • Workflows, tools and agents
  • Multi-step processes across systems and people
  • Context and state carried end to end
  • Define, test and deploy
02
Layer 02

Model & Control Plane

Model choice stays yours. Route frontier and smaller models by workload, and in an air-gapped deployment a locally available model takes the commercial provider's place without changing anything above it.

  • Frontier providers, or a locally available model inside your boundary
  • Routing by workload, including fully air-gapped
  • Data residency
  • Token and cost optimisation
01
Layer 01

Enterprise Data Layer

Connects to existing systems in place. No migration, central rewrite or prerequisite data programme is required.

  • Databases
  • Data warehouses and lakes
  • SaaS and enterprise applications
  • Documents

Inside Layer 04

What your frontier intelligence is made of.

Knowledge, memory and skills are what the Company Intelligence Layer carries: what the enterprise knows, what it retains, and how it performs work. As they accumulate, less is asked of the model.

01

Knowledge

Connects documents, tools, databases and systems into one governed intelligence layer.

  • Company-wide knowledge access
  • Source-connected answers
  • The same question returns the same cited answer
  • Context from documents and systems
  • Available to agents and teams across the platform
02

Memory

Captures decisions, approvals, client context, recurring facts and task patterns as reusable memory.

  • Decision and approval memory
  • Client and workflow context
  • Neuro Ports for important triggers
  • Self-upgrading over time
03

Skills

Converts SOPs, workflows, playbooks, calculations and expert processes into reusable agent capabilities.

  • Reusable workflow skills
  • Consistent execution
  • Human approval where needed
  • Agents that follow your way of working

Model selection and portability

Model selection is a control-plane decision. Because the accumulated advantage sits in the intelligence layer above, the underlying model can be changed without rebuilding what is built on top of it.

Provider choice

Run a frontier provider, a smaller model, or a locally deployed open-source model inside an air-gapped boundary. Selection sits in the control plane, so it changes without touching what is built above it.

Portability by design

Knowledge, memory and skills are held in the intelligence layer, outside the model. Changing provider is a configuration change, and no accumulated asset is held inside a third party’s model weights.

Review the architecture against your own stack.

A 30-minute working session on where your intelligence layer would sit in your stack.

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