The conversation loop is engineered for the room, not the lab. Sub-480ms median round-trip — fast enough that the caller forgets they are talking to a machine.
Scoped memory across calls — what the caller said last week, what is in their account, what your team promised on the previous turn. Inspectable, scoped, expirable.
Variable network, accented speech, background noise, interruptions — the conditions of actual operations, not demo videos. Stress-tested against the worst-case before it goes live.
When the system reaches a known edge — high-stakes decision, ambiguous emotion, regulatory edge — it hands the call to a human, with context, on the same line.
We listen to a week of your real calls — anonymized. The conversational shape of your operation is not what the playbook says it is. We map both.
Memory scope, handoff rules, voice persona, escalation paths. Written down, in plain English, before any code. Operators sign off; we build to that.
Real-time streaming TTS, low-latency router, conversational memory store, observability. We tune for your room — not for the reference demo.
Your operators see live calls, intervene in one click, and tune the system from inside the console. We are on call for the first month after handoff.
No. Most voice bots are call-tree replacements with a friendlier voice. ATRIUM is engineered for real conversation under production conditions — bad audio, interrupted speech, multilingual callers, regulatory edges.
The hard work is not the model; it is the latency budget, the memory boundaries, the handoff seam, and what happens when any of them break.
The ASR layer is multilingual by default. Accent-robust by design — we test against the worst-case audio your operation will see before we go live. We have shipped ATRIUM into customer-support contexts with twelve language codes and into single-language operations with strong regional accents. The pipeline is the same.
The handoff seam exists for this. Every conversation has a tunable set of handoff triggers — confidence threshold, sentiment edge, regulatory keyword, operator-defined phrases. When any fires, the call routes to a named human on the same line, with full context.
The system's job is to be wrong gracefully, not to be right always.
Yes, where regulation permits. We have shipped both inbound (support, intake) and outbound (verification, follow-up). Outbound has additional consent and pacing constraints we build in by default.
Per-operator scoped memory — what was said, what was promised, what was escalated. Inspectable by the operator; expirable on a schedule the operator sets; never crossed between accounts. The memory is part of your data, not a black box.
Both. We have shipped ATRIUM into private VPCs (telephony in your stack, ASR/LLM/TTS via egress) and as a managed service. Healthcare and finance deployments are typically private; consumer support deployments are typically managed. We will recommend based on your data residency needs.
Send a brief — what conversation, what room, what edges. A principal replies in 48 hours with an architecture sketch.