Brilliant on your own hardware
The work you'd never paste into a cloud box.
Hand it the real thing, not a redacted version. The file never travels anywhere to be read.
DOCSConfidential documents
A contract, a case file, a patient record, a board pack. Ask plain questions of it, in the open.
DRAFTEveryday drafting
Correspondence, memos, rewrites, plain-language explanations. The daily writing of a practice.
THINKThinking out loud
Untangle a decision, pressure-test an argument, sort the mess. No clean question required.
READReading and summarizing
Long threads, dense filings, a stack of records turned into the few lines that matter.
The honest trade
Great locally. Honest about the cloud.
You should know the trade before you start. Ownership is what carries the confidentiality.
- Right on your hardware. Nearly everything confidentiality-driven work reaches for, answered right away, and only for you.
- Still better in the cloud. The very hardest frontier reasoning, and anything needing live, up-to-the-minute web data.
- Confidentiality by architecture. The model, the hardware, the thinking all sit inside your building. Nothing to intercept, no vendor server holding your words.
- Prove it in one move. Pull the network cable and ask it something. It keeps answering. Nothing you type was ever going anywhere.
- Owned, not rented. Anything it keeps stays on your machine, yours to delete, with no standing access for anyone after handover.
Design my Garnet →A conversation with Garnet about what you actually need, not a sales call.
A private AI is a real assistant that lives on hardware you own, inside your building, instead of a company's servers. The model, a single large file that holds everything the AI learned, runs alongside the part that does the thinking on your own machine, so when you ask it something your hardware works out the answer by itself. No message goes out to the internet, so there is nothing to intercept and no account watching. To answer you, the hardware loads the whole model into its memory at once, which is why a build is specified around the model you actually need, from a capable everyday model up to the very large models that rival the big cloud assistants and require dedicated hardware built to carry them.
On hardware you own it is brilliant at everyday writing, thinking a problem through, and reading your most sensitive documents, the contracts, case files, patient records, and board packs you would never paste into a cloud chat box. The cloud giants still edge it on the very hardest frontier reasoning and anything that needs live, up-to-the-minute web data. For nearly everything confidentiality-driven work reaches for, the AI on hardware you own answers right away, and answers only for you. This is for family offices, legal and medical practices, research groups, and enterprises whose work makes confidentiality non-negotiable.
The confidentiality comes from the architecture, not a policy page. There is no outbound request to intercept, no vendor server holding your words, no account that could be subpoenaed or breached. You do not have to trust a promise. Pull the network cable and watch it keep answering. Anything it keeps lives on your own hardware like a saved document, yours to delete, with no standing access for anyone after handover. A serious private AI is not a download you install yourself. It is a build, hardware and software scoped and installed for you by Garnet. Family-office and private builds are scoped as commissioned engagements. Enterprise and institutional builds are scoped on contact. The next step is to scope a build, a conversation with Garnet about what you actually need, not a sales call and not a checkout.