Your business. Your data. Your AI.
Connect your organisation's applications, documents, data and workflows to secure AI agents — using open-weight, private-cloud, on-prem or approved enterprise models, under your control.
A secure AI operating layer — not a chatbot.
SooperMetrix Private AI is an enterprise layer that becomes part of your operating environment. It is not merely a chatbot, not merely a locally hosted model, and not merely retrieval over a folder of documents.
Bring AI into the business
Private AI connects your knowledge, software, workflows, permissions and approved actions to open-weight and/or enterprise models — while your organisation keeps control of its data, models, deployment and automation.
Your business + your knowledge + your software + your workflows + your permissions + AI — under your control.
From answering to operating
Generative AI usually sits outside your systems: staff copy information into public tools, interpret answers by hand, then go back to do the work. Private AI removes that gap — AI works securely inside your business, with the context and permissions to be genuinely useful.
AI knows the internet. It does not know your business.
A general-purpose model may understand accounting, HR, procurement or customer service in general. It does not automatically know your clients, SOPs, policies, current transactions, approval hierarchy or proprietary knowledge. SooperMetrix Private AI adds that missing enterprise layer — securely connecting AI to the information and systems that make your organisation unique.
You stay in control of five things.
Privacy is not only about where the model runs. It comes from the complete system design.
Where it lives
Decide what AI can access, where data is stored, whether it ever leaves your environment, and how long it is retained.
Which brains
Choose local, private-hosted, open-weight or approved external models — and which workloads may use each.
Who sees what
AI inherits your identity, roles and permissions. Departmental and document-level access is enforced.
What it may do
Define what AI can read, draft, approve or execute — and which transactions are prohibited.
What happened
Trace who asked what, which data was retrieved, which model ran, which tools were called, and what changed.
Privacy = privacy + control + governance + integration + intelligence.
Connect. Understand. Reason. Act. Govern.
Five layers that turn a general model into a governed, organisation-aware system.
Your systems
Documents, databases, applications, APIs and communication systems — through connectors, not rip-and-replace.
Your context
Enterprise search, retrieval, structured data and live business context — grounded in your real information.
The right model
Route each task to an appropriate open-weight, private or approved external model based on your policy.
Real work
Agents and workflows invoke business tools under policy controls — reading, drafting, and executing.
Your rules
Identity, permissions, human approvals, audit and observability wrap every step.
One governed path
From a question to an auditable, approved action — inside your business.
Connect before replacing.
Private AI sits above or alongside the software you already run — no forced digital transformation first.
Connections are made through APIs, database connectors, MCP servers where suitable, secure adapters, webhooks, event streams, document ingestion, scheduled synchronisation, and controlled browser automation where no API exists.
Grounded in your knowledge — not guesswork.
A capable model already understands general concepts. We connect the knowledge and context it cannot know — your documents, your live systems and your processes — choosing the right approach for each need, so answers and actions are grounded in your organisation.
The right model for each task — never locked to one vendor.
Private AI can use each task's most appropriate model under your policy — open-weight first, not open-weight only. Use the smallest, most private model that does the job reliably, and escalate only when complexity or business risk justifies it.
Autonomy on your terms — six levels.
You decide how much a given workflow may do on its own. Nothing high-risk executes without a human.
Answer
AI provides information only.
Recommend
AI recommends the next action.
Draft
AI prepares the document, transaction or request — but does not execute it.
Approval required
AI prepares an action and routes it to an authorised user for sign-off.
Controlled automation
AI automatically executes low-risk, approved workflows.
Autonomous bounded workflow
AI completes an end-to-end task within strict policies and exception boundaries.
Private does not mean one deployment model.
Choose where the system runs based on your sensitivity, control and operations needs.
Managed Dedicated
A dedicated SooperMetrix-managed environment — isolation and managed operations, faster to implement.
Your Cloud (VPC)
Deployed inside your own AWS, Azure, GCP or private cloud. You control the environment; we can co-manage.
On-Premises
Runs inside your own infrastructure — for highly sensitive data, strict residency or restricted connectivity.
Hybrid
Keep sensitive workloads private and route approved tasks to external inference when it is beneficial.
A standalone offering — and the intelligence layer beneath the ecosystem.
Private AI is both a standalone enterprise capability and a shared foundation that other SooperMetrix products can build on — so common intelligence, governance and integration are reused instead of rebuilt for every department.
A public assistant vs. Private AI.
A public AI assistant is excellent for general intelligence. Private AI is what makes it useful inside your organisation.
| Generic AI assistant | SooperMetrix Private AI |
|---|---|
| General knowledge | General + your company knowledge |
| External chat experience | Embedded into your business |
| You paste context by hand | Context retrieved securely |
| Disconnected from your systems | Connected to enterprise systems |
| Limited workflow understanding | SOP & workflow orchestration |
| Primarily responds | Reads, drafts, recommends and acts |
| Provider-defined hosting | Your deployment choices |
| Limited auditability | Enterprise audit and approvals |
Questions we hear most.
Is Private AI just an on-premise chatbot?
Do we need to replace our existing ERP or CRM?
Does an open model already understand our industry?
Do you need to fine-tune a model on all our documents?
Can our information stay inside our environment?
Are we forced to use one AI model?
Can AI make changes inside our software?
How do employees access Private AI?
Give AI a secure place inside your business.
Start with one process, one knowledge domain or one department. Connect it to your existing systems, prove the value, then expand the same Private AI foundation across the organisation.
Discuss a Private AI use case