Voice agents that know the real answer.
# Real calls. Live data mid-call. Graded like a real QA process.
Backed by
// the platform
Everything a real conversation needs, already built in.
Natural turn-taking
Barge-in, backchanneling, and a silence watchdog that knows the difference between "thinking" and "gone quiet."
Live data mid-call
Pauses, calls a real API, answers with the real result - not a guess.
Every call gets graded
Scored against a rubric you define - not a sentiment label.
Anturon AI
order_status lookup
"What's the status on my order from last week?"
"Let me check that now..." → real order_status lookup → "It shipped yesterday, arriving Thursday."
Never leaves a caller in silence
A dead-man's switch catches a hung lookup - the agent recovers instead of going quiet.
Compliance is enforced
Do-not-call checks run before a number is ever dialed.
Recording controls
Consent and disposition tracking built in, not bolted on.
"Can you call me back after 6pm?"
Callback scheduled, confirmed by WhatsApp, picked back up by an agent at the requested time.
// getting started
From sign-up to your first live call.
Connect your number and your script
Point an existing phone number at an agent, or provision a new one. Bring your own call script and objection handling.
Wire up what it needs to know
A knowledge base for FAQs, a CRM lookup for lead status, a live API for real-time data - connect what the agent should actually use.
Calls run, get recorded, get graded
Every call is transcribed, classified by disposition, and scored against your QA rubric automatically - trended over time.
// pricing
Start with a pilot, scale when it proves out.
Prove it on one campaign
Pilot pricing
Scale across campaigns
Custom, by call volume
Custom workflows & SLAs
Custom
// faq
Answers before you commit.
It pauses, runs a real lookup against whatever you've connected - a knowledge base, a CRM, a live API - and answers with that result. If a lookup fails, it says so plainly and offers to follow up, rather than guessing.
No. Speech-to-text, the language model, and text-to-speech are each configured per agent, so you can change providers without rebuilding the agent.
Every call is graded against a QA rubric you define - not just a sentiment score. You set the criteria (identification, objection handling, tone, outcome); every call gets scored against it automatically.
A pilot on one campaign is typically ready in days once your phone number, script, and any data sources are connected - not a months-long integration project.
Do-not-call list enforcement and call recording controls are built in, and every call is tagged with a disposition so your compliance and reporting match how your team already qualifies leads.
Hear it handle a real call, live.
Book a demo and we’ll walk through a real agent - your script, your data, a real phone call.
Book a live demo