Unlock AI Productivity

Private AI for
confidential work.

PrivateBox gives organisations a controlled AI environment for sensitive work. Ringfenced sovereign Ai infrastructure with your models, knowledge, tools, and workflows under your control.

Use AI across confidential workflows without sending your organisation's most sensitive work into third-party systems.

Emails
Contracts
Meetings
Policies
Firm Knowledge
PrivateBox AI Ecosystem
PrivateBox Server
Hardware

Ring-fenced

Software

Enterprise platform

Hardware Guarantee • Local Only
Rapid Delivery
Automated Operations
Instant Knowledge Access
Air-Gapped Privacy
Scaled Output

PrivateBox combines private chat, internal knowledge retrieval, and governed AI tools inside one controlled environment for organisations that need capability without surrendering control.

Why the Enclave
matters today.

Public AI Trade-Off

The Public AI Risk

Public AI creates a structural trade-off: teams gain speed, but sensitive work may pass through external infrastructure that sits outside the organisation's direct control.

  • 84% of cloud AI tools exposed to breaches
  • 78% of employees use unsanctioned AI
  • 58% of users input sensitive corporate data
PB
Controlled Enclave

PrivateBox Enclave

PrivateBox is designed for organisations that want AI capability inside a controlled environment, with stronger boundaries around where models run, where knowledge lives, and how workflows are governed.

  • 100% On-Premise physical isolation
  • Zero Byte third-party server contact
  • Full Control of data and workflow governance

What happens
when you use AI.

A simple prompt can travel through more systems than most teams realise. In a typical public AI workflow, your request leaves your environment, passes through third-party infrastructure, and is processed in systems you do not control.

PrivateBox keeps every step inside your own controlled AI ecosystem.

Public AI Flow More handoffs. Less control.
You prompt

Client data entered

Cloud relay

Leaves your boundary

Shared AI model

Third-party processing

Response returns

Result comes back

Public internet Cloud storage Third-party control
PrivateBox Flow Owned end to end.
You prompt

Work stays inside

PrivateBox software

Governed routing

Secure hardware

Dedicated environment

Trusted result

Controlled return path

Ring-fenced environment No shared infrastructure One controlled ecosystem

Private AI for
business outcomes.

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Private AI
made easy.

PrivateBox is designed to feel familiar from the start, so teams can work in a governed private AI environment without learning an entirely new way of operating. Use it for useful everyday capabilities, then expand into bespoke internal AI apps, workflow tools, and company-specific agents that act more like a dependable digital employee:

always available, always context-aware, and ready to support real work.

Paste Without Worry

Bring sensitive work into AI without losing control. PrivateBox is designed so confidential code, board material, legal drafts, policies, and internal files can be used inside a controlled environment rather than routed through public AI tools.

Paste without worry

Cited AI Knowledge Base

Index approved internal knowledge locally and make it usable through AI with citations. PrivateBox helps teams search, reference, and work against internal information with more confidence and traceability.

Enterprise search

Build Custom Agents

Create role-specific agents governed by approved knowledge, permissions, and workflow boundaries. Share them with the right individuals or teams without opening unnecessary access across the organisation.

Build custom agents

Bespoke Task Mastery

Build private AI tools around the exact tasks your team performs every day. From industry-specific workflows to internal utilities, PrivateBox supports bespoke capability without forcing your organisation into a fixed vendor mould.

Bespoke tools

Uncharted Integration

Connect PrivateBox to approved internal systems, file sources, and workflow layers so AI can operate where your organisation already works without collapsing your security posture to do it.

Native integration

Your Own AI Employee

A governed private intelligence layer that works inside your environment, not a public assistant borrowed from someone else's infrastructure. PrivateBox can support autonomous or semi-autonomous work patterns while staying inside the boundary you define.

AI employee
PrivateBox Interface
Paste Without Worry Interface
Unlimited TokensUnlimited Tokens
200+ Seats200+ Seats
Up to 70% Less CostUp to 70% Less Cost

Private inference, governed access, internal knowledge, and production-ready workflows work inside one controlled operating layer. We keep teams in the loop, expand the platform over time, and help companies scale AI with more confidence, less rollout friction, and far fewer compromises than public-tool adoption normally demands.

Private Chat
Knowledge RAG
App Connectors
Agent Creator
Private Inference
Role-Based Auth
Ringfenced
Compliance Ready
Custom Actions
Custom AI Apps
Open Source AI
Scale
M Custom Models
Custom Security
Share Agents
AI Hardware
Governed Workflows
Secure Context
Operating Layer
Air-Gapped Privacy
Optimised Inference
Document Search
Cited Answers

PrivateBox gives organisations the building blocks to create a durable AI foundation.

The Future of
Private Intelligence.

Achieved Priority
Achieved

Private AI Chats

Enterprise-grade chat privacy with zero third-party telemetry.

Your path to
private AI adoption

A structured rollout for confidential teams: validate value first, align governance early, and roll out in a way that sticks operationally.

1

Book a private architecture review

We walk through workflows relevant to your industry and show how PrivateBox supports AI productivity without pushing sensitive work into public systems.

OUTPUT Clear use cases + recommended pilot path.
DURATION 30–45 min
Talk through deployment
2

Context pack + safe evaluation access

We share a tailored context pack and access to a controlled demo environment using non-sensitive material so stakeholders can evaluate the fit.

OUTPUT Stakeholder alignment + informed evaluation.
DURATION 2–5 days
Talk through deployment
3

Finalise deployment scope + sign-off

Confirm teams, users, approved data sources, governance boundaries, support model, and deployment requirements. This is where implementation becomes precise.

OUTPUT Agreed scope + implementation plan.
DURATION 30–60 min
Talk through deployment
4

Installation + approved knowledge onboarding

Set up hardware or the deployment environment, connect approved sources, and establish the internal knowledge layer with role-based access boundaries.

OUTPUT PrivateBox live + approved knowledge connected.
DURATION 1 day onsite or as scoped
Talk through deployment
5

Team enablement + first workflows

Train users on the interface, working norms, privacy model, and first internal tools so the deployment becomes operational, not theoretical.

OUTPUT Staff proficiency + initial workflow library.
DURATION 2–4 days
Talk through deployment
6

Rollout + adoption strategy

Expand by team, workflow, or use case while measuring real adoption and outcomes. Build toward a mature private AI operating model over time.

OUTPUT Adoption plan + success metrics.
DURATION Ongoing
Talk through deployment

Questions,
answered clearly.

Private Box is built for organisations that want the power of modern AI without giving up control, privacy, or flexibility. Here are the questions we’re asked most often before deployment.

Security Shell

Is our data isolated?

Yes. Private Box is designed so your environment is isolated to your company, including your data, models, inference, tools, and networking.

Combined with a robust role-based access layer, this gives you granular control over privacy and internal access.

How do you keep it secure?

We secure Private Box by controlling the full AI stack: infrastructure, inference, models, and software.

Because the system is ringfenced to your environment and close to your network, you avoid the risks of spreading work across third-party systems.

Is encryption included?

Yes. Traffic is protected with encryption in transit. We are also extending core capabilities to include encryption at rest and deeper end-to-end protection as the platform evolves.

Can teams work remotely securely?

Yes. Private Box supports secure remote work through controlled access solutions that allow teams to work from home without compromising privacy boundaries.

Governance Hub

Are you compliant?

We are built with compliance in mind and align with relevant governance practices. Formal certifications (SOC2, etc.) are in progress and will follow our certification roadmap.

Who can access our system?

Private Box uses role-based controls, so you can define exactly who can access which apps, tools, or knowledge bases inside your environment.

Reliability & Scale

What uptime can we expect?

Uptime depends on deployment conditions, but Private Box is built with a robust management and maintenance layer to maximise reliability.

Does it scale?

Yes. Private Box is designed to scale with your business, from smaller teams to larger internal deployments. Specific node counts and seat allocations are scoped based on your needs.

Do you monitor the system?

Yes — we monitor system health and operational status without viewing or accessing your private data, preserving your privacy boundaries while ensuring stability.

Custom Ecosystem

Can we build our own tools?

Yes. Private Box gives you the foundation to build bespoke tools safely. Connect Gmail, Dropbox, or private file systems and create apps around them.

Do you build custom tools?

Yes. Bespoke tool creation is our specialty. If your team has a workflow or idea, we can help design and build the right private AI tool around it.

Deployment Path

How does pricing work?

Private Box uses a server rental model. Standard model includes a setup fee and a 6-month term, transitioning to month-to-month afterward.

How long does setup take?

Setup time depends on complexity and whether custom tools are included. This is scoped during discovery so expectations are clear from day one.

Essentials

Why not a public AI tool?

Public tools require trade-offs around control and governance. Private Box is for organisations that want capability without handing over control of the environment.

Can we start small?

Yes. The platform is designed to let companies begin with a right-sized node and expand effortlessly as internal AI adoption grows.