Familiar
Familiar provides a full-duplex voice AI model for outbound sales calls that listens while it speaks, enabling natural interruptions, overlapping speech, and real-time responses in about 350ms. Trained on top-performing sales reps' calls, it mirrors prospect tone and pace, runs discovery, and handles objections. The model runs inside the customer's own VPC, with guardrails and debuggable turns.
- Artificial Intelligence
- AI Agents
- Sales Technology
- Software Only
Funding
Founders
Product
Problem
Voice agents built on turn-based architectures fail in real-time conversation, causing more than 40% of calls to drop within the first 30 seconds. These systems, retrofitted from sequential text exchanges, break on interruptions, overlap, and background noise, and they transcribe words while missing tone and intent. As a result, leads are lost to competitors before they are even qualified.
Solution
Familiar provides an end-to-end duplex speech model that listens while it speaks, allowing it to handle interruptions, overlapping speech, and background voices naturally. It reasons directly over speech—including how something was said and what is happening around the speaker—rather than reducing conversation to text. Trained on calls from top-performing sales reps, the model mirrors a prospect's tone and pace, runs discovery instead of reading a script, and handles objections instead of giving up. Developers define workflow, tools, guardrails, and personality, while Familiar manages the conversation itself. The model responds in about 350ms and runs inside the customer's own VPC, ensuring data never leaves their cloud.
Target Audience
Primary customers are sales teams and developers building outbound voice agents for lead qualification, appointment booking, and debt collection, who need higher call completion and conversion rates.
Features
- Full-duplex speech model that listens and speaks simultaneously, eliminating walkie-talkie turn-taking
- Trained on calls from top-performing sales reps to mirror prospect tone, pace, and objection-handling behavior
- Reasons directly over speech, capturing tone and intent rather than relying on text transcripts
- 350ms response time for real-time conversational flow
- Runs inside the customer's own VPC, with data never leaving their cloud
- Guardrails that block a response before the caller hears it, plus debuggable turns inspectable in text and audio
- No separate ASR, TTS, or turn-detector to wire up; developers define workflow, tools, and personality
- Fine-tunable on the customer's own calls for continuous improvement