The AI works for you.
It doesn’t run your practice.
On-premise AI for private practices and clinicians — your own node, on your own hardware, in your own building. No vendor filtering your words, no third party touching protected health information, and no administrator’s algorithm deciding your patient’s care by checklist. It does the reading and writing. You keep the judgment.
“Not big tech’s AI. Not the hospital’s AI. Not an insurer’s algorithm. Yours — on your hardware, under your rules. It does the paperwork; you make the call.”
What changes when the AI lives in your building
Sending patient data to cloud AI
- Protected health information leaves your premises
- A vendor’s safety rules filter what the AI will discuss
- Your questions get moderated — often mid-clinic
- The tool increasingly pushes its own protocol, not your judgment
Running it on your own node
- Patient data never leaves your building
- Open-weight models: no vendor content policy, no moderation
- The AI assists — it does not decide or score by checklist
- Your rules for documentation and scope, loaded every session
The AI coming into medicine isn’t the problem. Who owns it is. Cloud AI is built and run by someone else — an administrator, an insurer, a tech company — and it’s being rolled out to triage, score, and decide. The answer isn’t to refuse the technology. It’s to own it.
Support, not supervision
The heavy reading and writing is the AI’s job. The clinical judgment stays yours — you review and approve everything it produces.
Documentation support
Turn your dictation and notes into clean, structured clinical documentation using your own conventions — never finalized without your review.
Records review
Summarize a patient’s chart or a stack of reports from your own files, with paragraphs cited back to the source. You see where it came from.
Patient letters and education
Draft referral letters, prior-authorization requests, and plain-language patient education from your notes — in your voice, on your terms.
Q&A over your references
Ask across your own journals, guidelines, and notes; get answers grounded in your materials rather than a general-purpose cloud bot.
Physician in control
Not an administrator’s AI, not an insurer’s algorithm. An approval gate on everything it writes, a rules file it cannot change, and a full log of what it did. You authorize; it executes.
No third party in the chain
The node sits in your building, not in someone else’s data center. Nothing is transmitted to a vendor, and air-gap installs run fully offline.
Rent an AI, and it answers to someone else.
Own one, and it answers to you.
This is the whole point. When you buy AI from the cloud, you’re not just paying per seat — you’re accepting a control paradigm. Your sensitive data leaves your building to a stranger’s server, and a vendor’s content rules, a company’s ideology, and government mandates all sit between you and your judgment, and you have no vote. A node in your office reverses that. Your data stays in your building; your rules govern the machine; and you keep control of the judgment. It’s your hardware — bought, owned, titled to you. The machine is the tool, and you are the professional.
Designed to sit inside your confidence boundary
Because protected health information never leaves your building, there is no third-party vendor in the loop — no cloud business-associate chain to manage, no patient data crossing your network to a stranger’s server. That is a simplicity and privacy advantage, not a compliance claim.