Private AI, inside your own Azure tenant.
You're in control. Not your AI provider.
A private AI assistant, running inside your own Microsoft cloud. Your data never leaves the company, and you can audit the logs, the network traffic, the power button. You own everything, there's no upfront hardware, and you switch it off when you're done. Deployed in one day, fully hardened.
On the demo we build one live, in front of you, and destroy it before we hang up.
If your business runs on someone else's model,
someone else holds your off-switch.
The US government walked away from a leading AI model after a standoff with its provider.
A frontier model was switched off overnight over a security issue. Not deprecated, switched off.
Staff paste confidential material into public chatbots, banned or not. A ban isn't a plan. A private lane is.
The Private AI Jumpstart
Everything below is deployed in one day, inside your own Azure account.
A private AI endpoint, in YOUR Azure account
Deployed into your own subscription, under your policies. It is your property. We hand over the keys.
Hardened by default
Isolated network, no public access, no outbound traffic, Microsoft Entra sign-in, spending cap, auto-destroy timer. We can tailor it to your architecture, or drop in our own landing-zone pattern.
A private service your security team can monitor
A safe place for the work your staff currently do in ChatGPT, banned or not.
Ephemeral by design
Spin it up, work on the sensitive material, destroy the whole system. Nothing left to breach, leak, or subpoena.
The right model, chosen with evidence
Picked from our own lab benchmarks, internal testing, and public benchmarks, not a vendor brochure.
Training + 30 days of support
30-minute team session, the runbook, spin-up/tear-down scripts you keep, and the first month of the Care Plan.
The Zero-Egress Proof Pack
Every deployment ends with a live run on a confidential document while we capture the network logs, then a signed report showing no data left your tenant. Your compliance team keeps it. Your clients can see it.
Your clients are already asking what you do with their data and AI. Give them a better answer than “we banned it.”
In the pack:
- Network flow logs from the live run
- Hardening checklist, itemised
- Architecture one-pager
- Signed by the engineer who built it
Honest numbers, from our own lab
We benchmark every model and simulate real load, so you don't have to. You focus on using it.
If your use-case needs frontier-grade reasoning, we'll tell you on the first call and save us both the pilot.
Founding price
5 companies onlyRises to £2,950 ($4,000) in September. US and EU companies welcome, invoiced in your currency.
- Delivered in one day, in your own Azure tenant
- You own everything we deploy
- Zero-Egress Proof Pack, signed
- Team training + 30 days of support
- First month of the Care Plan included
The questions security teams ask
- We already use Azure OpenAI / Copilot. Why this?
- Keep them, for everything that can go there. This is the private lane for the material that can’t, and the fallback for the day a provider changes the rules. Twice in 2026 a frontier model became unavailable overnight. A model running in your own tenant, on weights you hold, cannot be switched off from outside.
- Our provider’s enterprise terms already protect our data.
- Perhaps. But your clients and your auditors ask a simpler question: can the data leave your tenant? With this, the answer is no, and we give you the network logs that prove it.
- Are open models actually good enough?
- For frontier-grade reasoning, not yet, and we will say so on the call if that’s your use-case. For document Q&A, drafting, summarising and coding assistance, the best open models score ~90% of the best frontier model on our own live-deployment benchmark. You choose with your eyes open.
- We don’t have GPU quota in Azure.
- You don’t need it. We can deploy a CPU-only configuration the same day (fine for single-user document work), or a low-cost GPU slice, and upgrade when your quota lands. Quota is never the blocker.
- Our security team will want to review it.
- Good. Everything lands in your tenant under your policies, and we bring a one-page architecture and hardening checklist for their review. If you prefer, your engineer runs our deployment while we direct on a screen-share, and we never touch your environment at all.
- What does the fixed price assume?
- That your side is ready: a subscription and empty resource group, access agreed (a one-day Contributor role, or your engineer runs our deployment on a screen-share), and any internal approvals already done. Our pre-flight checklist covers it, and most companies clear it in one short call. If your change process needs security reviews, architecture boards, or bespoke integration first, that is a different engagement, and we will say so on the demo rather than surprise you later.
- Are you insured?
- Yes. £5M professional indemnity cover, and we work under a signed order form with the guarantee in writing.
- What happens after day one?
- It’s yours: you can run it with the included dashboards and runbook, on your own. Most founding customers keep the optional Care Plan: we test new models and security updates on our benchmark before rolling them to you, re-prove zero-egress quarterly for your auditors, and help with any respin. Cancel anytime.
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