Control the intelligence running your organisation.
Discover, govern, observe, protect and operate every AI model, agent, tool and intelligent system from one organisational control layer.
AI did not enter the organisation through one door.
It arrived through hundreds.
You cannot control what you cannot see.
Imperium discovers the AI estate. A scanning wave passes across the network. Unknown nodes become identified — and every one receives an owner, a department, a location, a trust level and a policy.
| OBJECT | KIND | DEPT | TRUST | POLICY |
|---|---|---|---|---|
| claude-enterprise | MODEL | ENG | MED | governed |
| llama-70b-frankfurt | MODEL | AI-R | HIGH | local-only |
| finance-agent-07 | AGENT | FIN | MED | approval |
| github-mcp | MCP | ENG | LOW | approval |
| copilot-ws-0412 | CLIENT | ENG | MED | repo-scoped |
| erp-summariser | AUTOMATION | OPS | HIGH | governed |
| internal-file-mcp | MCP | IT | HIGH | governed |
| chatgpt-browser-×214 | CLIENT | ALL | UNK | unmanaged |
One control plane.
Every AI.
Through the gateway, every model, agent and tool call becomes a governed request: who is asking, what it may touch, where it may run, what it may do afterwards — and the evidence of all of it.
A real request, moving through the control plane.
This does not describe the product. It is the product's decision path — identity, classification, context, model, tool, trust and action — evaluated step by step, and stopped before the action executes.
ACTION BLOCKED
Reason: output contains information derived from an untrusted external source. Policy FIN-EXFIL-02 forbids external delivery of confidential content with trust below HIGH. Evidence sealed · trace req_9f2a41.
AI does not decide what it is allowed to do.
Policy does.
Rules are layered. Some inherit. Some override. Drag the USER marker up through the layers to see how the decision for EXTERNAL MODEL is built — then switch department.
Autonomy does not mean absence of control.
HUMAN DECISION REQUIRED
- AGENT
- Finance-Agent-07
- ACTION
- PAYMENT.SEND
- AMOUNT
- €82,000
- RISK
- HIGH · new vendor · no PO match
Who watches the control plane?
Imperium Sentinel. Outside the main trust domain, with its own baseline and its own evidence store, it watches the watcher. A tiny binary changes. Sentinel sees it.
8DB2A711 4C0E 9F21 …4FF87A03 E19B 0D77 …If Imperium controls AI, Observatory sees everything around it.
The view becomes an operations map: servers, applications, networks, cloud, services, agents, users, incidents, AI traffic — and every stream of telemetry lands in one place.
The endpoint is no longer a black box.
Telemetry, tracing, discovery, CMDB, security, remote actions, debugging and AI-traffic visibility — from inside every host. Switch the deployment mode and watch the topology change.
Full sensor on the host. Dense: every process, file and model call is observed locally.
AI solves it once. Automation solves it forever.
The action engine tries the deterministic moves first. When they fail, it wakes the AI engineer. When the AI fixes it, the fix becomes a workflow — and the next identical incident never reaches a human.
- 00:00PRODUCTION SERVER DOWN — prod-db-03
- 00:01ACTION: restart service FAILED
- 00:03ACTION: restart VM FAILED
- 00:04WAKE: AI ENGINEER
- 00:19AI investigates: traces · logs · mount table
- 01:02Discovered: corrupted mount /data (xfs journal)
- 01:48Fix applied · service restored · system healthy
- 02:00KNOWLEDGE CAPTURED → workflow WF-mount-recover-01 generated
- +3dSame failure · prod-db-03
- +3d 00:07WF-mount-recover-01 executed · RESTORED · no human woken
One nervous system for the organisation.
Imperium controls. Sentinel protects. Observatory sees. Spectient reaches every endpoint. GEO knows where. Pull the camera back — they were always parts of one architecture.
THINK
- AI
- Infrastructure
- Finance · HR
- Security · Operations
- Customers · Incidents
DECIDE
- GPU demand +40%?
- Provider cost doubles?
- Server fails?
- Agent compromised?
- Customer demand spikes?
EXECUTE
- Scale infrastructure
- Change AI routing · apply policy
- Create ticket · run automation
- Notify humans · provision compute
- Block AI provider
The organisation should remember.
Memory without governance is a liability. Every memory carries its scope, its classification and who may recall it.
The model is only half the system.
GPU cards, nodes, clusters, regions. The Imperium scheduler places every workload under a resource policy — priority, budget, VRAM, latency, location, classification.
Every token has an owner.
Millions of AI requests become financial streams. Drill from the organisation down to the single request — and let routing policy find the cheaper, compliant path.
AI policy has a geography.
Not decorative. Operational. Users, providers, data locations, infrastructure, incidents, regions and policies — placed where they are.
Platform architecture.
Click any module in the diagram for what it does and what it talks to.
Read the architectureRun it where your data lives.
Cloud AI when you want it. Local AI when you don't.
The control plane decides the route according to policy — classification, location, cost, capability — not according to which key a developer happened to have.
Your industry. Your topology.
Six chapters. One story.
Run the scenario.
Four things that happen in real organisations. Watch each one move through Imperium, Sentinel and Observatory — and stop where it should.