You're renting something you should own.
If your business already pays for AI — API calls, per-seat licenses, usage tiers — you've proven the value. The only question left is why you're paying for it monthly, forever, with your data as part of the price.
Run the numbers on your own bill.
Metered AI pricing works like a taxi meter: fine for a ride, ruinous as a commute. Businesses with AI in their daily workflow commonly spend $2,000–$5,000 a month across API usage and per-seat tools — $24,000–$60,000 a year, rising with headcount and usage, with no equity in anything at the end.
A Telio system is the commuter car: one purchase, sized to your workload, unlimited use. For steady daily usage, the crossover typically lands at 18–24 months — after which every month is savings. And the machine doesn't expire at crossover; it keeps working for years, and upgrades in place when you need more.
Hardware, software stack, installation, and the Telio managed service — monitoring, model updates, support. One machine cost, one predictable monthly fee. No meter.
Same workflows. New address.
The Telio stack exposes one API-compatible endpoint on your network. Tools and integrations that currently point at a cloud AI provider point at your machine instead — for most workflows it's a URL change, not a rebuild. Your prompts, your documents, and your outputs stop commuting to someone else's datacenter the same day.
Audit
We review your current AI usage and spend, and tell you honestly what moves and what (if anything) should stay cloud.
Spec
We size the machine to your real token volume and latency needs.
Cutover
Endpoint swap, workflow by workflow, with both running in parallel until you're satisfied.
The part of the bill that isn't on the invoice.
Rate limits
No throttling during your busiest hours. It's your machine.
Model roulette
No vendor deprecating the model your workflows depend on.
Price changes
No repricing memo. Your costs are your electric bill and your management fee.
Data exposure
Every prompt to a cloud API is business data leaving your control. That line item is invisible right up until it isn't.
Sized to your actual usage.
Light-to-moderate API replacement runs on a 3L or 4S. Heavy multi-team usage or large models step up to the Ultra-class GPU servers or Maximus, the Grace Blackwell AI supercomputer with 748GB of coherent memory — deskside, on a standard office outlet. Your current cloud bill is the best sizing document there is; bring it to the consult.