Sovereignty

Self-hosted, own-model voice AI — no lock-in

Run Arivox on your own servers, keep your data in your region, and run the same ASR + LLM + TTS stack we host ourselves — not a wrapper around someone else's black box.

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Your infrastructure

Deploy on your own GPUs or private cloud. Conversation data never leaves your boundary.

Our own AI layer

We build and host our own speech recognition, voices and agent loop instead of renting every layer. Where a managed engine genuinely wins, we name it — and you can switch it off.

No lock-in

A clean interface over transport and models. Swap components, or bring your own model for enterprise.

Data residency

Keep data resident in Israel, the Gulf or the EU to meet local requirements.

Architecture

One real-time loop, fully under your control

LiveKit handles transport and SIP only. The agent loop, skill router and character runtime live behind our own interface, so the media plumbing is swappable and there's no lock-in. What we don't own we say plainly: the phone lines themselves come from licensed carriers.

Voice-agent pipeline

PSTN / SIP ─▶ LiveKit (transport + SIP)
            └▶ Orchestrator (turn-taking, barge-in)
                 ├▶ STT  (streaming speech-to-text)
                 ├▶ LLM  (your region's best model + skills)
                 └▶ TTS  (streaming HE / AR / RU / EN voices)
post-call ─▶ memory · evals (LLM-judge) · analytics

Frequently asked

Can I self-host the whole platform?

Yes. Arivox can run on your own GPUs or private cloud so that call data, models and vector stores stay inside your boundary — useful for regulated industries and data-residency requirements.

Can I bring my own model?

Enterprise deployments can route specific languages or workloads to your own model via a clean model-router abstraction, unlike closed platforms that forbid it.

Why is running your own AI layer cheaper?

Orchestrators pay a per-API markup on every minute. Serving the speech and agent layers ourselves removes that markup: our native stack targets roughly $0.035/min at scale, 3–4× lower than typical effective rates. Early-access pricing applies until the native stack ships with v1.0.

Bring voice AI in-house — on your terms.

Talk to us about a self-hosted or sovereign deployment for your region.

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