Speech-to-Speech AI Voice Agents
Human-like AI voice agents on native speech-to-speech models or STT → LLM → TTS pipelines, chosen call flow by call flow and running in production.
03 Feature
Real-Time Quality Monitoring
Every call recorded, transcribed, summarized and judged on your criteria, with an alert the moment it ends and a dashboard to review them.
How it works
Every call is recorded, transcribed, summarized and judged on your criteria, with an alert the moment it ends and a dashboard to review them.
More features
Multilingual Support
AI agents in English, French, Dutch, Spanish and Portuguese, with localized voices, messages and spoken dates, and French tuned the deepest.
Call Builder, API, Webhooks & Claude Skill
Draw your agent's call flow in the no-code Call Builder, then drive CallShift from your stack or from Claude: a REST API, tools your agents call mid-call, an end-of-call webhook and a Claude skill.
Next step
See it on your own calls.
Book a call with a voice AI engineer: we start from your real call flows and show you the agent, the architecture and the numbers that fit them.
1:1with a voice AI engineer, no slides
2architectures we ship in production: speech-to-speech and pipelines
1rollout plan to leave with: volume, pricing, telephony
~0% missed calls at Bonnie&Car, down from 55%. Read the case study