Marginal cost ≈ 0
Download a model once; every inference after that uses your own electricity and GPU — the more you use it, the more you save.
Why Edge AI
We don't "promise not to look at your data" — the architecture simply gives your data no path off your computer. Moving AI back onto your own machine changes more than speed.
01 — Data Flow
Apart from problem reports you choose to send, every outbound connection is listed below, and none of them carries your content. This isn't a policy promise — it's the code-level architecture, continuously verified by automated tests that no cloud AI inference service is ever called.
Apart from problem reports you send, these are the only outbound connections — none carries your content
02 — Comparison
| Item | Typical cloud AI service | Armor EdgeAI |
|---|---|---|
| Where data goes | Uploaded to the provider's servers | Stays on your computer, saved in place |
| Cost | Subscriptions or metered billing | Runs locally — no fees, no quotas |
| Offline | Everything stops | AI keeps working |
| Peak hours | Queues, throttling, slowdowns | Your GPU serves only you |
| Confidential files | Depends on the provider's terms | Never leave the machine — no third party to trust |
| Usage statistics | Telemetry collection is the norm | Zero telemetry, not a single record |
03 — Principles
Download a model once; every inference after that uses your own electricity and GPU — the more you use it, the more you save.
No network round-trips, no queues; response speed depends on your machine, not someone else's datacenter load.
Data never leaves the machine, so you don't need to study processing terms to feel safe — there is no third party on the path.