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Voice AI Assistant

Talk. Understand.
Act — instantly.

AI voice agents that handle inbound and outbound calls with natural, human-like conversation. Qualify leads, book appointments, resolve issues, and take action in your business systems — no scripts, no code.

Start Building
02:34
Live call in progress
live-transcript.otimo
C
Hi, I need to check my order status. It's been three days.
intent: order_inquiry
AI
Of course — I can look that up. Could you give me your order number?
C
It's 49281.
AI
Found it — out for delivery, arriving by 6 PM today.
<400ms
Response Latency
97.3%
Intent Accuracy
24/7
Always Answering
// Capabilities

A voice agent that actually listens.

Every conversation is understood in context, handled naturally, and backed by real actions in your systems.

🎙️

Natural, real-time speech recognition

Streaming transcription understands interruptions, filler words, accents, and background noise — so callers never have to repeat themselves. Every word is transcribed and classified as the conversation happens, not after the call ends.

listening…
⚡

Sub-second responses

Streaming inference keeps latency under 400ms, so conversations feel natural instead of robotic.

🧠

Context that persists

Multi-turn memory tracks intent, entities, and history across the entire call — and across channels.

🔗

Business system actions

Query calendars, update CRMs, process payments, and trigger workflows — live, mid-call.

📊

Call analytics & recording

Every call is transcribed, tagged, and scored automatically for QA and coaching.

🌍

Multi-language support

Detects and responds in the caller's language automatically, mid-conversation if needed.

🤝

Seamless human handoff

Escalates to a live agent with full context, transcript, and intent — zero repetition for the caller.

// Own Your Stack

Voice AI, built to be
owned — not rented.

Talkr is the voice AI platform for teams who won't stake a phone line on someone else's model, someone else's servers, or someone else's roadmap. Bring your own LLM, speech stack, and infrastructure — or let us run it. Either way, it stays yours.

🔑

BYOK — bring your own keys

20+ LLMs, 15+ speech-to-text engines, and 15+ text-to-speech providers, all baked in and independently swappable — no curated shortlist.

OpenAI Gemini Anthropic Groq Deepgram Cartesia Google STT + 30 more
🏠

Self-hosted or cloud

Run it on your own infrastructure, or let us host it. The platform stays yours either way.

🔌

MCP-native

Built on the Model Context Protocol from the ground up, not bolted on.

💾

Cross-call caller memory

Native memory persists across calls — returning callers never repeat themselves.

🧠

Live emotion detection

Reads 7 real-time signals — satisfied, neutral, curious, confused, anxious, frustrated, angry — on a silent side-channel with zero added latency, and adapts vocal delivery to de-escalate rather than mirror frustration.

✅

Built-in QA & compliance automation

AI-suggested prompt fixes catch issues before they become production incidents — not just a call recording archive.

Twilio
Vonage
Plivo
Telnyx
Cloudonix
Vobiz
Asterisk ARI

Seven native telephony providers — including self-hosted Asterisk/ARI. Unusually wide for a platform this size.

📅Calendars
💼Salesforce
🎧Zendesk
🧡HubSpot
💳Payments
🔗Custom API
// How It Works

From ringtone to resolution.

Every call flows through the same intelligence pipeline — fast, structured, and auditable.

◉ live call 00:00 → resolution
01

Call connects

Inbound or outbound, the agent answers instantly — no hold music, no queue.

02

Speech understood

Real-time transcription and intent classification kick in as the caller speaks.

03

Systems queried

The agent calls your APIs — calendar, CRM, order system — to get real answers.

04

Action & confirmation

The outcome is executed and confirmed — booked, updated, resolved, logged.

// Getting Started

Your first agent,
in five minutes.

No telephony setup required to start — Web Calls run the full pipeline straight from your browser's microphone.

Step 01

Choose how to start

Three ways in: Agent Builder generates a complete starting workflow from a plain-language description of your use case (capped at 10 generations/day/org), Blank Canvas gives you a single pre-filled Start Call node with no limits, or start from a Template — appointment scheduling, restaurant reservations, lead qualification, order status lookup, healthcare scheduling, or debt collections. The healthcare and collections templates include regulated-industry safety features out of the box.

Step 02

Build the flow

The minimal graph is three nodes: Start Call (greeting and objective prompt) → Agent (conversation logic) → End Call (terminates the path). The more specific your prompts, the better the agent performs.

Step 03

Test with a Web Call

The full pipeline — speech-to-text, LLM, text-to-speech — runs from your browser mic. Trial credits are auto-granted to new orgs, and you see the live transcript, node transitions, and tool calls as the call happens.

Step 04

Iterate — no redeploy

Edit node prompts, save, and test immediately. Common tweaks: refine the Agent node's tone, add cross-cutting instructions to a Global node, or attach a Webhook node to send call data to your own systems.

Next

Connect telephony, add tools, go live

From here: connect a real phone number, model more advanced conversation graphs, attach tools and a knowledge base, or embed the agent directly on your website.

hospital-appointment-booking · v14 · published real build, not a mock
A real published voice agent flow: Greeting, Select Department, Collect Patient Details, Check Availability, Confirm Appointment, Book & Notify, End Call
// How Agents Stay Grounded

Tools for what changes.
Knowledge for what doesn't.

Two distinct grounding mechanisms, so the agent never has to guess where an answer should come from.

🔗

Tools

"Anything live, data that changes, or an action that needs to happen — like checking an order or looking up availability."

External HTTP API calls (e.g. an unauthenticated GET request)
Query calendars, CRMs, order systems — live, mid-call
Must be explicitly attached to an agent node to take effect
📚

Knowledge Base

"Anything written down, like your return policy or an FAQ, that doesn't change from call to call."

Full Document — best for small files, the agent sees the whole thing, no embeddings model needed
Chunked Search — for large documents, the agent retrieves only the relevant section (requires an embeddings model)
Must be explicitly attached to an agent node to take effect
The system prompt should specify which mechanism answers which kind of question — don't leave it to guesswork.
call #180 · transcript real call
A real call transcript showing a Tool node executing help_with_booking() and dates_provided(), both marked COMPLETED, mid-conversation
// Why voice, why now

Phone calls are still where trust gets built — and where most businesses lose customers to hold music.

0s
Average hold time
0/7
Answered, every time
0%
Intent accuracy
// Use Cases

One agent, every kind of call.

From sales to support to collections — the same intelligence layer adapts to the conversation.

01
📞

Inbound Sales

Qualify callers, answer product questions, and book demos without a human touching the phone.

Lead QualificationDemo Booking
02
🎧

Support Triage

Resolve common issues automatically and hand off complex ones with full context attached.

Ticket DeflectionEscalation
03
📅

Scheduling

Book, reschedule, confirm, and remind — synced directly with your calendar system.

BookingReminders
04
💳

Collections

Handle payment reminders and billing conversations with empathy, consistency, and compliance.

RemindersBilling
// Regulated & Enterprise

Built for the calls
that can't go wrong.

On-prem deployment, RBAC, audit logging, and org-scoped credentials for teams operating under real compliance obligations.

🏢

On-Prem Deployment

Keep data resident where it needs to be, with full control over infrastructure location.

🛂

Role-Based Access Control

Granular permissions across teams, agents, and environments.

📋

Audit Logging

Every call, every prompt change, every credential use — logged and reviewable.

🔐

Org-Scoped Credentials

Keys and secrets scoped to your organization, never shared across tenants.

🏥

Healthcare Starter Templates

Compliance-aware conversation templates ready for regulated healthcare workflows.

Emergency triage flows
Identity verification built in
💳

Debt Collections Templates

Pre-built flows aligned with collections disclosure requirements.

FDCPA disclosure language
Dispute rights handling

"Every other voice AI platform...asked us to trust their infrastructure with our phone lines. Talkr was the only one that let us ask 'what if we needed to run this ourselves' and actually got a real answer."

— Enterprise customer, telephony infrastructure evaluation
// Ready when you are

Your phones are already ringing.
Let AI pick up.

Deploy a voice agent that never sleeps, never repeats itself, and always closes the loop.

0/7
Always On
<0ms
Response Time
0%
Intent Accuracy
Start Building