Software recorded the enterprise. AI will understand it.
Super AI Brain publishes the open architecture for Industry AI Operating Systems, and builds them for enterprises.
Don't rip and replace. Reason and act above.
Plate data
- Spec
- Super Brain
- Layers
- 07
- Industry OS
- 05
- Product
- Pharma OS
- Hub
- Live
The architecture is open. The enterprise intelligence is yours.
Seven layers. The bottom one never moves.
Where people meet the system. A question asked, an answer returned, a decision approved.
Specialists, not one assistant. Each has a role, a scope, and a declared limit.
The step between knowing and doing. Reasoning happens in the industry's own terms, not in generic prose.
The layer that makes this yours rather than generic. Industry knowledge is modelled as a graph. Company knowledge stays private.
The reasoning engine. Replaceable by design, and it should be.
How intelligence becomes something that happened, under declared permissions.
Unchanged. That is the whole point. Nothing is migrated, nothing is replaced, nothing is switched off.
Layer 04 is where an Industry OS stops being a chatbot. Layer 01 is where it stops being a migration.
The formula
Foundation Model
Industry Pack
Company Pack
Agent Role
Enterprise Agent
- Pharma OS
- Healthcare OS
- Real Estate OS
- Manufacturing OS
- Financial Services OS
Agent manifest · Pharma
can_read: rx_data, hcp_master, veeva_crmcan_reason_about: brand_performancecan_recommend: call_plan_changecan_execute: crm_task_createrequires_human_approval:incentive_change, promotional_claimEvery agent declares its boundary. In a regulated industry that boundary is the product.
An agent needs three different brains.
Foundation
Foundation intelligence
Language, reasoning, code, planning, general world knowledge. What the frontier models already have, and what gets cheaper every year.
- Language
- Reasoning
- Code
- Planning
- World knowledge
Model providers, interchangeable
Industry
Industry intelligence
The operating reality of a sector, modelled properly. Not a pile of PDFs in a vector database. Entities, relationships, rules, workflows, metrics, decisions, events and actions, in a real knowledge graph.
- Ontology
- Regulations
- Terminology
- Workflows
- Benchmarks
- Best practice
Open architecture and Industry Packs
Company
Company intelligence
Everything that makes one company different from its competitor. Private, proprietary, and never leaving the enterprise.
- Customers
- Products
- Processes
- Territories
- Contracts
- SOPs
- Decisions
The enterprise, private
Together they produce company specific intelligence. That is the point where an agent stops being impressive and starts being useful.
Thirty years of remembering. Very little understanding.
Enterprises spent three decades building systems of record, and they worked. Every customer, transaction, patient, batch and asset is written down somewhere.
These systems are excellent at recording what happened. They were never designed to do anything else.
No system of record answers these. That gap is the reason an Industry AI Operating System exists.
- CRM
- Customers
- ERP
- Transactions
- EMR
- Patients
- MES
- Production
- PMS
- Assets
- Why did it happen?
- What is likely to happen next?
- What should we do about it?
- Which system should take the action?
An agent is not an operating system.
CPUOperating system
LLMIndustry operating system
Most of the market defines an agent as a chatbot that can call tools. That describes a reasoning engine, and a reasoning engine is not an environment.
An Industry OS is the environment in which thousands of specialised agents operate safely. Safety here is not a feature. It is the substrate.
What the OS provides
- Identity
- Memory
- Industry semantics
- Company context
- Permissions
- Tools
- Workflows
- Governance
- Observability
- Human approval
- Data access
- Action access
One architecture. Five industries. Same seven layers.
Pharma OS is a product we build and operate. The other four are the architecture applied, published in full and ready to be built on, by us or by anyone else.
Pharma OS is the architecture, shipped.
Pharma is the hardest place to start, which is why we started there. Molecules, brands, indications, HCPs, Rx behaviour, territory structures, medical guidelines and compliance rules are not generic enterprise concepts. They are an ontology.
Pharma OS models that ontology, grounds it in a company's own brands and territories, and puts agents on top that reason in the language the commercial team already uses.
Commercial
Which HCPs should this territory prioritise next cycle?
Medical
What is the evidence position on this indication, and where is it weak?
Field
What changed in my territory since my last call plan?
Brand
Why is this brand growing in one region and flat in another?
Supply
Where will demand and supply diverge in the next quarter?
Executive
What are the three things about this portfolio I should know today?
Plate data
- Industry
- Pharmaceutical
- Status
- Product
- Agents
- 06
- Connects to
- Veeva · Salesforce · SAP · Rx data
- Approval
- Declared per agent
We publish the architecture. We sell the runtime.
Open
- Industry OS Spec
- What every Industry OS must provide, in full, versioned.
- Industry Ontology Schema
- A standard way to declare entity, relationship, event, metric, rule, workflow, decision, action, role and agent.
- Agent Manifest
- How an agent declares what it can read, reason about, recommend and execute, and what it may never do without a human.
Super AI Brain
- Enterprise Runtime
- Industry OS deployments, run securely inside the enterprise.
- Agent Runtime
- Execution, memory, orchestration and observability.
- Industry Packs
- Vertical intelligence: ontology, knowledge graph, workflows, agent templates, metrics, connectors, evaluations, guardrails.
- Enterprise Connectors
- SAP, Veeva, Salesforce, Oracle and the rest of the estate.
- Governance
- Permissions, compliance, auditability, evaluation.
- Private Company Brain
- Grounding on a company's own knowledge, held privately.
- Managed Industry OS
- We build it and we operate it.
The architecture is open. The enterprise intelligence is yours.
The architecture is only worth publishing if other people build on it.
The IndustryOS Hub is where Industry Packs, agents, connectors, evaluations and ontologies get published. By us, and by anyone else who builds to the spec.
Every entry carries its manifest, so you can read exactly what it touches before you use it.
- Build an Industry OS
- Publish a Pack
- Build an Agent
- Build a Connector
- Publish an Evaluation
- Contribute an Ontology
For enterprises
You already have the systems. You need the layer above them.
Nothing gets migrated. Your systems of record stay where they are. The Industry OS reasons across them and acts through them, under your permissions and your approvals.
- Deployed in your environment, on your terms
- Every action auditable, every boundary declared
- Your company knowledge never becomes anyone else's
For builders
Read the spec. Write a manifest. Publish it.
The Super Brain spec, the ontology schema and the agent manifest format are open and complete. If you know an industry better than we do, you are better placed to build its OS.
- Declare an ontology for your domain
- Write an agent manifest and its approval boundary
- Publish a pack, an agent, a connector or an evaluation
Tell us your industry. We will show you its operating system.
The fastest way to understand this is to see it against your own systems, your own vocabulary and your own decisions.
A conversation, not a demo script. We ask what your systems of record are, what they cannot answer, and which decisions actually matter. If an Industry OS is not the right answer for you, we will say so.