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Fixed-cost AI: one fee, no meter

An Aivell costs a one-time setup fee and a fixed monthly fee. Inference runs onboard, so there is no per-token meter, no overage, no bill that grows with use. Run chores hourly or around the clock — the price on the invoice is the one you agreed to.

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The meter changes how you use AI

Cloud AI is a taxi with the meter running. Every page read, every draft written, every retry ticks it forward — and because the price scales with use, someone in the company ends up rationing it. Should we really run this on every email? Do we summarize the whole contract or just the first ten pages? That quiet arithmetic has a name: usage anxiety. It reliably kills the best automations first, because the best automations are the ones that run constantly.

Which is backwards. McKinsey puts ~45% of professional-services work within reach of current automation — volume work, by definition. A pricing model that punishes volume is a strange match for it.

One box, one fee

An Aivell is priced like the appliance it is: a one-time setup fee, then a fixed monthly subscription. No tokens, no overages, no surprises. The number your bookkeeper writes in January is the number in December.

The economics are honest because the architecture is. Inference runs onboard — the box on your shelf does the thinking, sipping about as much power as a bright light bulb. There’s no per-request cost being incurred in a data center somewhere, so there’s no per-request cost to pass along. The meter isn’t hidden. It doesn’t exist.

That also removes a quieter risk: repricing. Cloud AI rates move when a vendor’s costs move, and your budget moves with them. A box you own doesn’t renegotiate.

What you do differently when running it is free

Flat pricing isn’t just tidier accounting; it changes which automations you dare to build. Check the supplier’s price list hourly instead of monthly. Chase every unanswered email, not just the big accounts. Let the chatbot handle the whole night shift. Have your morning digest read everything. On a meter, each of those is a line item to justify. On a fixed fee, the only question left is the right one — is this useful? — because doing more costs exactly nothing more.

Your Aivell doesn’t bill by the hour, and it doesn’t sleep. You’ve already paid for the night shift; you might as well use it.

Questions, answered.

Is there really no usage limit? +

There's no meter, and no overage line waiting on the invoice. The only ceiling is physics — how much one box can do in 24 hours — and most offices never get near it. If you do, that's a good problem: you add another Aivell, another fixed fee, not a surprise bill.

Why do cloud AI bills grow over time? +

Because cloud AI is metered per unit of work: every document read and every reply drafted is billed. The more useful it becomes, the more it costs — success is the expensive outcome. A box you own inverts that: the busier it is, the better the deal.

What makes a fixed price possible? +

The same fact that makes it private: inference runs onboard. Nobody pays a data center per request on your behalf, so nobody passes that meter on to you. The marginal cost of one more chore is a few watts of electricity — yours, not ours.

What am I paying for each month? +

A flat subscription for your AI colleague — one number your bookkeeping can plan around. No tokens, no tiers that nudge you upward, no per-seat arithmetic every time someone joins the team.

See it in practice.

What is an Aivell?

An Aivell is an on-premise AI colleague: a small box that plugs into your network, runs its own AI onboard and takes the repetitive work off your desk. Prompts, documents, data — nothing ever leaves your office. Unplug the internet: it keeps working.

You describe each task as a chore, in plain language. Your Aivell turns it into a solid, guarded procedure and runs it in the background — with guardrails on every tool, a complete audit trail, and approvals in your hand when you want them. One-time setup, fixed monthly fee. No tokens, no overages.

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onboard inference · air-gapped · fixed monthly fee