AI voice that listens,
responds, and remembers.
A real-time conversational voice engine that transcribes, understands, responds, speaks, and acts—all inside a single live call. Deployable on mobile, web, or telephony infrastructure.
Powering Vocalo.ai in production, serving 20,000+ users.
TELEPHONY STREAM STREAMER // INBOUND SIP-TRUNK
Connection: Twilio Media Stream WebSocket (ws://api.riverborn.com/v1/voice/stream)Inbound WebSocket Stream
STT ➔ LLM ➔ TTS Loop
Outbound Audio Stream
Voice is still the hardest channel to automate well.
Most "voice AI" is either a brittle IVR tree that frustrates callers, or a voicebot that can talk but can't actually do anything—no bookings, no lookups, no follow-through. And almost none of it learns anything from the call after it ends.
Businesses that depend on phone volume, call centers, language platforms, and booking-heavy services are stuck choosing between a human team that doesn't scale and a bot that doesn't really help.
The Brittle IVR Tree
Traditional voice bots rely on rigid key-matching directories. They cannot handle interruptions, spelling corrections, or shifts in dialog context, leaving users stuck in circular phone menus.
Actionless Conversations
Existing speech agents cannot interact with database applications. They might chat but fail to execute live function calls, meaning bookings, account checkouts, or ticket edits still require human support agent handoffs.
Disconnected Post-Call Data
Most voice bots drop call content once the session hangs up. There is no automated analysis of the user's vocal performance, error patterns, or grammatical struggles to generate follow-up materials.
Live interactive call.
Post-call intelligence.
Dhoni runs a real-time conversational loop—hearing, responding, and executing live API calls—combined with background post-call pipelines that immediately analyze audio to deliver personalized follow-up.
Not a Branching Script
Dhoni operates as an intelligent voice agent capable of handling interruptions, tool lookups, and context management directly inside the call. By bypassing brittle IVR structures, the conversation flows naturally at human pace.
Personalized Follow-up Content
Immediately after call completion, Dhoni's post-call webhook parses the audio and transcript to generate speech evaluations, compliance reports, and structured study exercises directly generated to address the exact gaps detected.
Powering Vocalo.ai
Vocalo is an AI language-learning platform where users have live spoken conversations with an AI agent to practice a language in real time.
During the call, Dhoni handles the full conversation naturally. After the call, it analyzes the transcript and audio to generate detailed, IELTS-style feedback, scoring and explaining exactly where the user struggled. Based on the specific mistakes detected, it then dynamically generates a personalized quiz so the user can drill the exact gaps in their ability.
Complex structures used correctly, minor verb errors.
Good topic-specific terms, could use more idiomatic phrases.
Fluid pacing, minimal hesitation, clear connectors.
Clear speech with minor vowel reduction on unstressed syllables.
"Yesterday I have went to the store and buyed new shoes."
"Yesterday I went to the store and bought new shoes."
Reason: Use simple past tense ("went" / "bought") for finished actions in past time. Avoid combining present perfect "have" with irregular past tense "went".
Where Else This Fits
The same engine, the same real-time loop, applies anywhere a phone conversation needs to happen at volume and end in an outcome.
IVR & Call Centers
Replace static phone trees with a natural conversation agent that actually resolves the call, verifies credentials, and syncs account information.
Booking & Scheduling
The voice agent checks calendar availability, books appointments, and triggers confirmation alerts directly inside the call stream.
Healthcare Telemetry
Secure appointment booking, patient intake validation, and compliance reminders handled automatically with medical-grade reliability.
Banking & Insurance
Automate account queries, claims filing registration, policy FAQ routing, and security validations via live function-calling loops.
Automotive Services
Automate service booking, vehicle inventory lookups, diagnostic booking routing, and lead qualification via voice loop channels.
Language Practice
Live spoken conversations with assessment dashboards and personalized follow-up drills scaled without manual intervention.
Voice Engine Architecture
Dhoni runs two separate pipelines: a live low-latency media stream (in-call) and an asynchronous post-call intelligence webhook thread (2m latency) that syncs records and compiles evaluations.
Low-latency stream
Structured to handle turn-taking under 1.4s total roundtrip, utilizing streaming Speech-to-Text and fast Text-to-Speech models over WebSockets.
Live function calls
The agent executes external API calls mid-sentence, pulling records or booking calendars without breaking the conversational audio loop.
Channel-agnostic core
Telephony-ready engine architecture built to run natively over Twilio media stream gateways, web interfaces, or custom mobile voice protocols.
Post-call intelligence
A background analysis queue analyzes complete audio recordings for grammar, vocabulary, pronunciation, and automatically pushes logs to the CRM.
Engine Architecture Blueprint
Trace the live bidirectional real-time audio transport loop (in-call) and the async post-call analytics thread triggered via event webhooks.
Engagement Models
Deploy Dhoni AI voice intelligence pipelines into your stack according to your compliance and scale constraints.
White-label SaaS
Run Dhoni AI under your own corporate brand, configured on your customer-facing product domain. Enforce your user account plans, storage rules, and frontend visual styles with ease.
API Access
Integrate our voice engine pipelines directly into your software workflow, mobile applications, or legacy CMS. Submit raw voice recordings and fetch evaluations programmatically.
Custom Vertical Build
A custom-trained conversation and function-calling layer engineered specifically for your business sector or industry context, built on top of our telephony core.