Skip to content
ImminentlyImminently

Private AI Implementations

Secure, private AI systems tailored to your needs.

Run on‑prem or in your private cloud with end to end encryption and full control of data.

Overview

We design and deploy private AI that lives in your environment. That includes encrypted chat assistants, retrieval over your documents, and task automations that respect your policies and controls. You choose the models and where they run. We make them work safely, quickly and reliably.

What this solves

Data stays private

Data cannot leave your boundary. Keep sensitive documents and conversations private.

Consistent answers

Consistent answers from your own knowledge. No more rummaging through wikis and shared drives.

Faster delivery

Faster delivery. A practical build that fits your IT standards and budget.

What we deliver

Private AI assistant

For internal Q&A and briefing notes

Retrieval over your content

With citations and source links

Document automation

For summaries, formatting and drafting

Optional Netria node

For encrypted chat by default

Admin console

For access control, audit, and policy

Runbooks and training

For your team to operate the system

Security and compliance

End to end encryption for chat and document processing

Single Sign‑On via SAML or OIDC with role based access

No data retention by default. You control logs and storage

Deployable in an air‑gapped network if required

Architecture and DPIA support to align with GDPR, ISO 27001, NHS DSPT and FCA expectations

How we work

Discover

Workshops, data audit, threat model, success criteria

Design

Architecture, model choices, integration plan, acceptance tests

Build

Deployment in a staging environment, connectors, guardrails

Prove

Pilot with real users, measurement and tuning

Launch

Production hardening, handover, runbook and training

Typical initial delivery is 4 to 8 weeks for a pilot that handles your top use cases.

Architecture options

On‑prem deployment

Kubernetes or virtual machines

Private cloud

AWS, Azure, GCP with VPC peering

Model choices

Open models for local inference or approved commercial APIs with strict gateways

Vector search

Managed or self‑hosted, always inside your boundary

Example use cases

Legal and policy

Search and summarise policies and contract libraries with citations

Finance

Prepare briefings from research, reports and market notes

Operations

Turn SOPs into a chat surface for frontline teams

Support

Internal assistant for IT and HR questions with policy‑aware answers

What good looks like

70 to 90 percent reduction in time to find the right page or paragraph

First draft documents available in minutes rather than hours

Clear audit trail and policy alignment signed off by security

Frequently Asked Questions

Can this run without the internet?

Yes. We deploy in air‑gapped networks if required.

Do you store our data?

No. Storage, keys and logs remain in your environment.

Can we bring our own model?

Yes. We support a range of open and commercial models and will help you choose.

Ready to build your private AI

Book a consultation and we will scope a focused pilot with clear outcomes.

Book a consultation