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fullstackVapi / Retell

Ravel

AI Voice Calling Agent Platform

2026
2 months
AI Engineering

Project Overview

An AI voice calling agent platform that makes and takes phone calls with natural speech, showing live transcripts, call analytics, and a queue, built on Vapi, Retell, and realtime AI voices.

The Problem

Businesses want AI to handle routine calls like booking and qualification, but stitching telephony, speech, and an LLM into something reliable is hard, and teams get no visibility into what the agent actually said on each call.

Our Solution

Ravel wires realtime voice AI to a phone network and wraps it in an operations dashboard. Agents handle calls with natural turn-taking, and the platform shows live transcripts, waveforms, call outcomes, and metrics like connect rate and bookings.

Target Users

Who benefits from this solution

Sales and appointment-setting teams
Clinics and service businesses
Support and call-center operations
Lead qualification teams
Businesses automating outbound calls

Key Features

Powerful capabilities that make a difference

Realtime AI voice calls (inbound and outbound)
Live transcript with agent/caller turns
Waveform and call monitoring
Call queue and scheduling
Outcome tracking and analytics
Configurable voice, model, and latency
Appointment booking flows
Call recording and review

App Screenshots

Explore the user interface and experience

Ravel AI Voice Calling Agent Platform - Mobile app screenshot 1 - Vapi / Retell Vapi app

Technology Stack

Tools and technologies we used

VapiRetellTwilioOpenAI RealtimeNode.jsReact

Our Responsibilities

From concept to delivery

1Voice AI integration (Vapi / Retell)
2Telephony and call routing
3Realtime transcript and event streaming
4Operations dashboard and analytics
5Conversation and booking flow design
6Latency and reliability tuning

Project Outcome

The impact and results delivered

Ravel makes AI phone agents usable for a real business. Calls sound natural, and the dashboard gives operators full visibility into every conversation, so the automation can be trusted with real customers.

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