Right now AI belongs to techbros, hobby geeks, and the companies renting it back to everyone else by the token. But what about you? You just want the thing to work, without anyone leeching your ideas or bleeding you dry every month. That's the whole ethos: radical about ownership, practical about everything else. No geekese required.
Every generation of computing ends up asking the same question: do you own the machine, or does the machine own you? The mainframe said one thing, the PC said the other, and the cloud quietly took it back. AI arrived with the answer already filled in: rent it by the token, meter it, and keep the off switch somewhere you can't reach. We think that answer is wrong, or at the very least premature.
When your AI lives in someone else's data centre, everything you do with it is a lease. The price changes under you, and it does. The model your workflow depends on gets retired with a blog post. An outage on another continent takes your tools down mid-sentence. And every prompt, document and half-formed idea you feed it becomes inventory on somebody else's servers, governed by terms you didn't write and can't negotiate.
The cloud can change the price, retire the model, and read the room. Your GPU can't do any of that to you.
Run the model on your own GPU and the economics and the politics both flip. You've already paid for the hardware, so what it makes after that costs you electricity: no meter ticking while you iterate, no rate limit deciding you've created enough for today. The model you like keeps running until you retire it, not until a vendor's roadmap does. Your files never leave the machine, so privacy stops being a policy you trust and becomes physics you can check. Pull the router out and it all still works.
Call it nostalgia for desktop software if you like (it isn't). AI is the most personal tool anyone has built: it reads your documents, remembers your projects and, increasingly, teaches your children. Something that intimate, rented, is a liability dressed up as a convenience.
So we built the other option.
Same capability. A very different deal.
Fair question. We have nothing against the cloud; we just don't think you should have to live in it.
Everywear renders on your machine. No metered credits, no quiet calls home, no render farm you never agreed to. If your hardware can't run something, the compatibility matrix tells you before you buy, not after. When you do want more horsepower, we are exploring private GPU instances that you switch on, pay for and switch off yourself: the cloud as a tool you hire, never a landlord you answer to. Whatever runs where, what you make comes home to your machine and your Vault.
Ask one question of any AI product: if the company behind it vanished tonight, would your setup still work tomorrow? With Everywear the answer is yes. The OS is on your disk, the models are on your disk, your memory is on your disk. That's the whole point.
The old objection to local AI was real: it demanded a weekend of terminals, drivers, and YAML. Sovereignty came with homework, so only the geeks got it. We removed the homework.
The installer profiles your GPU on first boot and loads the highest-quality local stack your VRAM can handle. No model zoo spelunking, no quantisation homework.
No Docker, no pip, no CUDA version roulette. Every applet, model, and update arrives through one desktop, one click, with approval gates before anything big downloads.
Identity, memory, models, and output all live locally from the first boot. You don't graduate into sovereignty later; it's the starting position.
Own the machine. Own the model. Own the memory. It just works.