Predictable. Controllable. Yours.

Stop paying the token tax

Cloud AI billing is a meter you can't read until the invoice arrives — and it runs faster every year your usage grows. Edge AI turns AI into a fixed, owned cost: hardware + electricity. You budget it once, and it stays stable.

Interactive

Run your own numbers

Drag the sliders to match your team's AI usage and watch the difference between renting and owning.

Cloud blended rate: $0.010 / 1K tokens (typical frontier API). Local: electricity only, ~$0.14/kWh. Your real numbers may vary — we'll model them precisely in the audit.

Cloud API cost
$200/mo
Local edge cost
$8/mo
Monthly savings
$192/mo (96%)
Hardware break-even
26.1 months
The metered trap

Cloud AI rewards you for using it less

Metered pricing quietly taxes success. Every new team member, every new workflow, every popular feature multiplies your invoice. Finance can't forecast it, procurement can't cap it, and a runaway agent loop can burn a month's budget overnight.

Local inference flips the incentive: the hardware is paid for, and usage is effectively free. The more your company uses AI, the better your economics get — which is exactly the behavior you want to encourage.

Cost behavior at 10× usage

Cloud API10× cost
Local edge (within capacity)~same cost

Beyond capacity you add hardware — a one-time, plannable step — instead of an infinite meter.

Control features

Billing you can actually govern

Hard caps & quotas

Per-team and per-app quotas enforced at the inference gateway. No surprise loops, no runaway agents, no "who spent the cloud budget" investigations.

Real-time cost dashboards

See compute, energy and utilization live — not 30 days later on an invoice. Chargeback by department, capacity forecasting built in.

Flat, forecastable spend

Hardware depreciation + electricity. Two numbers your finance team can model years out with confidence — immune to vendor price hikes.

Want this modeled on your real usage?

Send us a month of AI spend and we'll return a precise edge-AI TCO model — hardware spec, break-even date and 3-year projection.