ZeroMiss runs on the same real-time voice infrastructure used by leading AI products — assembled hands-on by a small Vancouver-based team, and tuned for one job: answering your clinic's phone like a person would.
Calls run on production-grade real-time voice infrastructure — the same class of framework behind some of the world's biggest voice AI deployments. It's what makes conversations feel fluid instead of walkie-talkie.
The voice itself is powered by leading realtime speech models — natural intonation, graceful handling of interruptions, and responses constrained to your clinic's approved knowledge sheet.
Phone calls route through a Canadian telephony network with a Vancouver point of presence — so your patients' calls connect locally, with carrier-grade reliability.
Data at rest lives in Canada (Montréal and Toronto regions), no audio is retained by default, and nothing is ever used to train models. We're also honest that live call media can transit US infrastructure — and we document it for your PIA.
A patient dials your existing number. The call routes through our Vancouver point of presence into our real-time voice infrastructure, and the AI answers in one ring — introducing itself as your clinic's AI assistant.
Realtime speech models understand the caller and reply in a natural voice with sub-second response times — no awkward pauses, no "press 1." Answers come only from your approved knowledge sheet; anything else becomes a message.
The booking request, message or escalation lands with your team — structured and complete. By default, the audio is transcribed and discarded; what's kept is stored at rest in Canada.
// Real-time call log
CALLER: "Do you direct bill Pacific Blue Cross?"
INTENT: Billing_FAQ | Provider: Pacific Blue Cross
SOURCE: clinic_knowledge_sheet (approved 2026-05-12)
MATCH: direct_billing: ["Pacific Blue Cross", "Canada Life", "Sun Life"]
REPLY: "Yes — we direct bill Pacific Blue Cross. Would you like me to capture a booking request while you're on the line?"
LATENCY: sub-second
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ZeroMiss isn't a white-labeled bot platform. It's built and operated by a small Vancouver team that works directly with this infrastructure every day — which means when your clinic needs a change, the people who built the system are the ones making it.