The duplex speech model for outbound sales calls.
Familiar listens while it speaks, so it talks the way people do.
And it's trained on the calls of top-performing sales reps.
Fewer people hang up. More convert.
Familiar in action
Listen to real calls, unedited.
problem
Your voice agent isn’t qualifying or converting your leads.
Every lead you lose goes to a competitor.
01 · They hang up
>40%
of calls drop in the first 30 seconds, before they're even qualified.
02 · They don't convert
They reach a script, not a seller.
Powered by a black-box LLM built to answer questions, not sell over the phone.
No prompt teaches it to mirror a prospect, handle pushback, or know when to back off.
why this happens
Voice agents today are turn-based, and you can't tune them.
Built on turn-based architectures
Systems designed for sequential text exchanges are retrofitted for real-time dialogue.
This creates friction, and people disengage.
It’s a black box. Cannot be tuned.
Never built for conversations.
Prompting alone can’t cover the objections, call conditions, and emotional states of a sales call.
familiar
One model, trained on sales calls.
Talks like a person
The duplex speech model, built in-house.
Sells like your best rep
Learned from the calls of top-performing sales reps.
production
Own it end to end.
Control
Guardrails
Block a response before the caller hears it.
Debuggable
Inspect every turn in text and audio.
Yours, not a shared API
Your VPC
Runs in your cloud; data never leaves.
Build your agent, not a dialogue harness
Define workflow, tools and personality. No ASR, TTS or turn-detector to wire up.
Improves over time
Coach it, or fine-tune on your own calls.
Costs the same
At parity with your cascaded stack.
pilot