Most inbound calls are unqualified — cold callers, wrong numbers, tire-kickers. Your sales team wastes 60% of ring-time on the wrong people. Our voice agent answers every inbound call in <300ms, asks 3–5 qualification questions from your criteria, books qualified leads on your calendar, and escalates urgent calls to WhatsApp. Six languages. $8 per qualified lead. Voicemail is free.
Model assumes 40% of inbound calls qualify (typical for warm inbound). Voicemail / unqualified / hangup are free.
Assumes linear scaling and no ramp-up. Real deployments hit steady-state around week 3–4. Outcome yield modeled at 40% — override at the audit call if your data suggests different.
First-token: ~280–330ms in the AWS region matched to your Twilio number. Full sentence turnaround: 800–1200ms. Faster than most humans on cold calls.
Yes by default. Configurable disclosure at call start ('You're speaking with an AI assistant — say human anytime to transfer'). Required in California, Utah, and increasingly elsewhere. We default disclosure on.
Turn-taking is handled by Deepgram VAD + Claude's silence detection. If the caller monologues past 30s, agent gently interjects ('One second — let me make sure I understand'). Similar to how a skilled receptionist handles it.
Yes. Common in GCC where callers code-switch English / Arabic. Language detection runs on every user utterance; agent switches generation language on the fly. Latency penalty ~120ms on switch.
Bland / Vapi / Retell are voice infrastructure — you build the agent yourself. We're the agent. Outcome-priced ($8/qualified) instead of per-minute. Managed. WhatsApp escalation + multilingual + the same audit chain as our other agents.
A $0 outcome audit takes 3 minutes. We'll model your monthly savings against your real volume — and show you what week-one looks like.