Answers from your company knowledge
Staff ask questions in plain language and get answers from your policies, manuals and files — with a link to the source.
For example
“What is our refund policy for enterprise clients?”
Private AI for businesses with sensitive data
Use AI in your business — at the level of privacy you need.
Your team wants AI. Your data, your regulators and your budget set the limits. Start in the cloud, move to a private space reserved for you, or run it on servers in your own building — without starting over.
- No hardware to buy to start
- Your data stays under your control
- We set it up and run it for you
Built forRegulated organisations of 50–2,000 people
- Public sector & contractors
- Healthcare & medtech
- Manufacturing & engineering
- Professional services
The problem
Most teams want AI. Few can use it safely.
These are the five things that usually hold businesses back — and how we deal with each one.
01Sensitive data can’t go into public AI tools
Client, patient or company data rules out most public chatbots, so AI never gets started.
A private setup keeps your data separate from everyone else’s — or entirely inside your building.
02Buying AI servers costs a lot up front
Running AI in-house usually means buying expensive hardware before you know it pays off.
No hardware to buy to begin. Start in the cloud or a private space, and buy servers only once AI has proven its value.
03Staff already use AI tools you haven’t approved
Nobody can see which company information is being pasted where.
Atlas, your control panel, shows who uses AI and what information it touches, and keeps a record of everything.
04No one in-house to build and run it
Setting up and running private AI takes skills most businesses don’t have.
We set it up, run it and support it for you, from the first sprint onwards.
05Worried about committing too early
Choosing one vendor or setup before your needs are clear is hard to undo.
Your team uses the same workspace in every option, so you can add more control later without retraining anyone.
What we build
Practical AI for everyday work.
We start with one task that costs your team time, then build an assistant around it.
Meeting and call summaries
Meetings and calls become clear summaries, decisions and follow-up tasks, without anyone taking notes.
For example
Action items sent to each owner after the call.
Routine work, automated
AI prepares reports, fills in forms and drafts emails. A person reviews and approves before anything is sent.
For example
A weekly operations report drafted every Monday.
Custom AI tools
When off-the-shelf tools don’t fit, we build AI applications around how your business actually works.
For example
A private assistant that helps your engineers understand your code.
Your options
Choose how private. Move up anytime.
Three options, one platform. Start where your budget and risk allow, then add more control without starting over.
- 01
Cloud
- Where it runs
- Trusted AI providers you approve
- Your data
- Sent only to approved providers, under your rules
- Hardware to buy
- None
- Best for
- A fast start and everyday work
- 02
Private cloud
- Where it runs
- A private space reserved only for you
- Your data
- Kept separate, never shared with other customers
- Hardware to buy
- None
- Best for
- Sensitive work without owning hardware
- 03
In your building
- Where it runs
- Your own servers, on your site
- Your data
- Never leaves your building — can even run with no internet connection
- Hardware to buy
- Your servers, sized once demand is proven
- Best for
- Regulated data and full control
Included in every option
Cortex
What your team uses
Chat, documents, search across company knowledge and automated tasks — connected to the tools you already use.
Atlas
How you stay in control
Who has access, which AI is used, your rules, usage and a full record of every action — all in one place.
How we work
Start small. See results. Grow from there.
You don’t need an AI strategy or a technical team to begin. We handle the technology; you bring the business knowledge.
Sprint · 4–8 weeks
A paid sprint gets your first AI tasks working for real — not just a demo.
Go live
Cortex and Atlas launch in the option that fits your risk and budget.
Move up in control
Switch to a private cloud or your own servers when your needs tighten.
Run and grow
We keep it running and add new tasks as your team adopts it.
Questions
What business leaders ask us.
Do we need technical staff to use this?
No. We handle setup, connections to your systems and ongoing support. Your team uses the AI through a simple chat window and the tools they already know.
Will our data be used to train public AI models?
No. With a private setup, your information stays inside systems you control. If you choose a cloud option, we only use providers and settings you approve.
What if the AI makes a mistake?
Answers link back to their sources so staff can check them, and important actions wait for a person to approve. We also test accuracy before and after launch.
Do we need to buy servers or hardware?
No. You can start in the cloud or in a private cloud reserved for you, with nothing to buy. You only buy servers if and when you decide to run AI inside your own building — and by then you will know exactly what size you need.
Can we start small and move to a more private setup later?
Yes. Every option uses the same Cortex workspace and Atlas controls, so moving from the cloud to a private cloud or your own servers doesn’t mean starting over or retraining your team.
How do we get started?
Book a consultation. We will talk about one task your team wants to improve, then a paid 4–8 week sprint gets your first AI tasks working for real.
Next step
Start with a 4–8 week sprint.
No hardware to buy. Tell us one task that takes too much time, and we will show you what AI can realistically do for it — and how to keep your data safe.
You will leave with
- A clear view of what AI can do for you
- Your privacy and security questions answered
- A practical first step, with no hardware to buy