ISO Vision AI helps security- and compliance-sensitive companies deploy AI on their own infrastructure — on-premise or in a private cloud — so models run where your data already lives. You get the analysis, search, and automation of modern AI without a single document leaving your network.
Led by Stuart Kerr — two companies taken public, $14B+ in value created, operating roles at Oracle, Apple & NeXT.
If a single leaked document means a breach, a lawsuit, or a lost edge, public AI tools aren't an option. Private AI gives your team the capability without the exposure.
Matter files, M&A diligence, and client communications are protected for a reason. Private AI lets your attorneys summarize and search them without sending a word to an outside model.
Patient records and clinical notes fall under HIPAA. Run AI over them inside your own network, so protected health information never touches a third-party server.
Deal terms, trading logic, and customer financials can't be pasted into a public chatbot. Private AI keeps the analysis behind your own controls and audit trail.
Proprietary code, designs, and formulas are the business. Give engineers an AI assistant that reasons over your repositories without training someone else's model on them.
When your team uses ChatGPT, Claude, Gemini, or any cloud AI on company information, here is what actually happens to it.
When you paste your company's code into ChatGPT, you are handing it to someone else's servers. Do you really know what happens to it after that?
Cloud AI sends your data away to be processed. Private AI brings the model to your data instead — the same capability, without the exposure.
ISO Vision AI deploys full AI capability directly into your environment. Your data stays inside your network while your team gets the same powerful insights cloud tools offer — with nothing leaving your infrastructure.
See what AI built around a single client looks like in practice — read The AI Front Door case study.
Book a consultation and we'll map the fastest path to private AI you control — what to deploy, on what hardware, and how to keep every document in your custody.
We design, deploy, and hand off a private AI capability your team can run and extend — from model selection to secure access to your own data.
We architect an on-premise or private-cloud setup so AI models run inside your network — sized to your hardware, your security posture, and your budget.
We choose and tune open models you own and can audit — not a black-box API — matched to the accuracy your work actually needs.
We connect your documents, code, and databases so AI can reason over them in plain language — and none of it ever leaves your environment.
Because nothing depends on the public internet, your AI keeps working offline — on a plane, in a vault, or inside a secure facility.
Keeping data in your custody makes HIPAA, SOC 2, and GDPR obligations far easier to meet. We design with your auditors in mind.
We train your people to operate and grow the system, so the capability stays in-house long after the engagement ends.
A clear, low-risk path — scoped up front, with your team owning the result at the end.
We learn your data, your compliance requirements, and the work you want AI to do — and agree on what success looks like.
We design the deployment, select open-weight models for your accuracy bar, and size the hardware to your budget.
We stand it up inside your environment, connect it to your data, and test it against real tasks — nothing leaving your network.
We train your people, document the system, and support you so the capability stays in-house and keeps growing.
ISO Vision AI is led by Stuart Kerr — an operator who has taken two companies public, helped create more than $14 billion in value, held roles at Oracle, Apple, and NeXT, served on multiple boards, and earned his MBA at Kellogg. You get senior judgment on where private AI pays off, where it doesn't, and how to deploy it without disrupting the business.
More on Stuart's track record — read the backgrounder.
Or private cloud — your environment, under your control.
Models you own and can audit, not a closed external API.
Runs fully offline, even inside secure facilities.
Your organization gets complete AI capability — analysis, insight, automation — while your data never leaves your local network.
Yes. Open-weight models run entirely on hardware you control, with no internet connection required. We routinely design air-gapped setups for secure environments — the AI keeps working on a plane, in a vault, or behind a firewall with no outbound access.
Keeping data in your own custody is the single biggest thing you can do to simplify compliance. When information never leaves your network, most data-residency and third-party-processor obligations under HIPAA, SOC 2, and GDPR become far easier to satisfy. We design with your auditors and controls in mind.
No. Many useful deployments start on a single workstation or server. We size the hardware to your accuracy needs and budget — from one secure machine to a multi-GPU rack — and design it to scale as your usage grows.
Most engagements move from first consultation to a working private AI in a matter of weeks, not months. The exact timeline depends on your data, integrations, and compliance review, all of which we scope up front so there are no surprises.
No. Open-weight models now rival the leading cloud APIs for most business work — drafting, summarizing, search, code assistance, and document analysis. We select and tune the right model for the accuracy your work actually requires.
It means the AI models run on hardware you control — inside your office, your data center, or your private cloud — instead of sending your data to a third-party service. Your documents, code, and conversations never leave your network.
Book a consultation and we will map the fastest path to private, on-prem AI for your team — what to deploy, on what hardware, and how to keep your data in your custody.
A short, no-pressure conversation. We'll tell you honestly whether private AI is the right fit.