Real estate
Qualify budget, property type, location and buying timeline, then book the site visit. A caller asking for a 3 BHK around ₹1.8 crore in Whitefield reaches a salesperson already knowing all four.
AI agents for real estateTaro AI · Live
Conversational AI Platform for Sales & Customer Engagement
AI voice agents, WhatsApp agents and website assistants that qualify leads, answer questions, follow up and book appointments 24×7.
No form, no signup, no sales call first. Or book a call.
10,000+
Concurrent Conversations
Up to 30%
Business Growth
< 1s
Response Time
40+
Languages Supported
Conversation Pipeline · Live
5 channels · 4 outcomesYour Customer
Website
Calls
WhatsApp
Email
SocialTaro AI
LIVE
Lead
Captured
Meeting
Booked
Query
Resolved
Follow-up
Sent
Human-like ConversationsInstant ResponsesMulti-language SupportRemembers Every UserSmart Product GuidanceCall AutomationCRM IntegratedAnd MoreHuman-like ConversationsInstant ResponsesMulti-language SupportRemembers Every UserSmart Product GuidanceCall AutomationCRM IntegratedAnd More
Conversation-to-Outcome
Every conversation, going somewhere
Enquiries arrive on five channels and scatter. TalkTaro gathers them into one answered conversation, and one outcome you can act on.
See It In Action
One AI. Every channel your customers use.
One agent, four channels, all of it live. The same context follows the customer from a WhatsApp thread to a phone call.
WhatsApp ONLINEHR
Hillside Resort
Taro AI · online
Hi! Do you have a sea-view room this weekend?9:41
Yes! Deluxe Sea View is available at ₹7,200/night with breakfast. Want me to hold it? 🌊9:41
Book it for 2 nights please9:42
Done ✅ Booked for Sat–Sun. Confirmation and directions sent. See you Saturday, Priya!9:42
Booking captured. No human touched this chat.
Voice call LIVE · 00:42
Taro AI · Inbound · Hindi + English, auto-detected
“…booking you in for Thursday at 10am, confirmation on its way”|
Appointment booked on the call. Answers in under a second, 24/7.
EmailRe: Pricing for 3-property setup
Hi Rahul, here's the breakdown you asked for, plus a setup timeline…
Replies while the lead is still reading
Drafted and sent in 4 seconds.
Social DMs“is this available in blue?”
Replied with the product link + sizes in stock
Instagram, Facebook and more
Every comment and DM answered.
What TalkTaro is
AI Agents That Talk to Your Customers
TalkTaro is a conversational AI platform that deploys AI agents across phone calls, WhatsApp, your website, email and social messages, so they can answer enquiries, qualify leads, automate follow-ups, update your CRM and book appointments.
Who it is for
Teams whose problem is not generating enquiries but answering them.
- Sales teams losing leads to a slow first response
- Service businesses missing calls they never hear about
- Support teams answering the same twenty questions all day
Why it is not a chatbot
An agent picks up every conversation immediately, on whichever channel it arrives, and carries it far enough to produce something.
- Understands intent instead of matching keywords
- Remembers what was already said, across channels
- Performs actions in your systems, not just replies
Voice
AI Voice Agents
TalkTaro's AI voice agents answer inbound calls and place outbound calls in natural spoken language.
- Understands what the caller means, rather than matching a menu option
- Asks its own follow-up questions and answers from your knowledge base
- Offers a site visit on a slot that is genuinely free, and books it
- Hands to a person with the qualification already captured, so nobody asks twice
- Works at 2am, on the fortieth simultaneous call, in English, Hindi or Hinglish
WhatsApp AI Agents
On WhatsApp the customer has nothing new to learn. That is why so many enquiries arrive there, and why so many of them go cold.
- Answers every message as it lands, at any hour
- Captures quantity, region, budget and timeline: what decides whether an enquiry is real
- Writes the lead into your CRM and notifies the right person
- Follows up when the customer goes quiet
- Runs on the official WhatsApp Business API, so the number stays yours
Website
AI Website Assistants
Most website visitors leave without speaking to anyone. A website assistant turns that passive traffic into an actual conversation.
- Greets the visitor and answers questions about products and pricing
- Points them at the right page instead of leaving them to hunt
- Captures their details conversationally, not behind a form
- Hands over to a human when the question needs one, conversation attached
It runs on the same knowledge base as the voice and WhatsApp agents, so a customer gets a consistent answer whichever way they arrive. You can talk to ours right now. The microphone on this page is the live product, not a recording.
Explore AI website assistantsQualification
AI Lead Qualification
A lead form collects whatever the visitor is willing to type. AI lead qualification collects what your sales team actually needs, by asking.
- Asks the next question based on the last answer, not from a fixed list
- You define what qualifies: budget band, location, timeline, team size, product fit
- Scores the lead against your rules and writes it to the CRM
- Escalates the ones worth interrupting a salesperson for
- Follows up the rest automatically, rather than forgetting them
Sales
AI Sales Automation
Most deals are not lost to a competitor. They are lost to silence: the second call that never happened, the quote nobody chased.
- Calls a lead back the day after an enquiry
- Sends a WhatsApp reminder before a site visit
- Re-engages a prospect who went quiet three weeks ago
- Confirms an order, or collects feedback after a service
Each of those is a conversation, not a blast: the customer can reply, ask something, reschedule or opt out, and the agent handles it. Every outcome is written back (CRM updated, meeting booked, salesperson notified), so the follow-up produces a record rather than an activity count.
Explore AI sales agents and follow-upsWhat We Do
What TalkTaro can do
Pick a job and watch how Taro thinks through it, step by step.
Qualified Lead Generator
- Captures leads without forms
- Qualifies users automatically
- Reduces drop-offs
Works across
WebsiteCallsWhatsAppEmail
U
Customer via Website
I'm looking for a plan that fits my team.
Taro AI Processing
Reading intent0.10s
Matching criteria0.35s
Generating response0.60s
Capturing lead0.85s
Taro AI
Happy to help! What's your team size and main goal?
Try Me
Live AI · talk to Taro at the top of this page
Differentiation
Why TalkTaro
Not another chatbot. A complete conversation system for your business.
Human-like Conversations
Understands what someone meant rather than matching keywords, holds context across a conversation, and answers an objection instead of repeating the pitch.
It's a bit expensive for us.Let me show the ROI for your size…
One System, All Channels
One agent across website, calls, WhatsApp and email. A customer who starts on chat and later phones does not begin again from nothing.
+ web, callsCustom Personas
It speaks in your tone, follows your script, and you set what it must never promise. Anything outside those bounds goes to a person.
Your toneYour scriptYour rules
Scales Without Hiring
Ten thousand concurrent conversations cost the same to answer as ten. Volume stops being a staffing problem.
10,000+
Process
How TalkTaro's Conversational AI Platform Works
Five steps, start to finish. Every one of them runs without a human in the loop.
01
User Interaction Starts
Visits your website, calls, messages on WhatsApp, social, or email.
Do you have availability?
02
Taro Engages Instantly
Understands intent and starts a natural, contextual conversation.
Name
Intent
Budget
03
Guides and Captures
Navigates users, explains offerings, and captures leads.
04
Follows Up Across Channels
Continues the conversation via calls, WhatsApp, and email.
LeadBookingResolved
05
Converts and Supports
Drives action and resolves queries across all channels.
Remembers every user and interaction, so conversations stay consistent and personal over time, no matter the channel.
Industries
Conversational AI for Different Industries
Pick yours to see how TalkTaro fits the way your business already works.
Hotels and resorts
Handle room enquiries, dates, rates, guest requirements and booking requests around the clock, including the after-hours calls that otherwise go to voicemail and never come back.
AI agents for hospitality
Automotive
Qualify model preference, budget, location and test-drive requirements, then put the booking in the dealership calendar and the lead in the CRM before the buyer contacts the next showroom.
AI agents for automotive
Ecommerce and D2C
Answer product questions, confirm delivery, and spot the enquiry worth escalating: a shopper asking about one unit and a buyer asking about twelve at $180 off are not the same conversation.
AI agents for ecommerceExample scenarios
Conversation-to-Outcome
Every TalkTaro conversation is measured by the outcome it produced, not the reply it sent. A chatbot answers and stops; the agent keeps going until there is a qualified lead, a booking, a resolution, or a person to hand to.
- Conversation
- Intent
- Qualification
- Action
- Outcome
Real estate
Customer
I'm looking for a 3 BHK in Whitefield.
Taro
Ready to move in, or under construction?
Customer
Ready to move. Budget around ₹1.8 crore.
Taro
I have two that fit. Shall I book a site visit on Saturday?
Outcome
3 BHKWhitefield₹1.8 crReady to moveSite visit Sat 4pmCRM updated
Ecommerce
Customer
Do you ship the 14-inch model to Austin?
Taro
Yes, 3–4 business days. Personal use or a team?
Customer
A team of 12.
Taro
Over 10 units qualifies for volume pricing. Shall I get a quote sent today?
Outcome
Bulk purchase12 unitsAustin, US$180/unit offQuote requestedSales notified
Illustrative examples of how the agent qualifies and acts. Not customer accounts.
Semantics matter
TalkTaro vs Traditional Chatbots
A chatbot answers questions. An AI agent handles the conversation and the work that follows it. The distinction is not marketing. It changes what you can put the software in front of.
| Traditional chatbot | TalkTaro AI agent | |
|---|---|---|
| Understanding | Matches keywords and predefined flows | Understands intent in natural language |
| Memory | Little or no context between turns | Keeps context across the whole conversation |
| Channels | Usually the website only | Phone, WhatsApp, website, email and social |
| Voice | Text only | Real spoken conversation, inbound and outbound |
| Data capture | Sends you to a form | Qualifies conversationally, field by field |
| Actions | Answers, then stops | Books, updates the CRM, notifies, follows up |
| Initiative | Waits to be messaged | Calls back, reminds and re-engages |
| Escalation | Dead end, or a ticket | Hands to a human with the full context |
Three stories, start to finish
What Changes on the Day It Goes Live
One measured deployment and two composite examples, labelled so you can tell them apart. No customer is named, and no figure appears here that was not measured.
Real estate
Measured · 30 daysThe lead nobody called back
The enquiry is captured. Somebody means to call back. Days pass, the follow-up never happens, and the buyer has already booked a site visit with a developer who did call. Most businesses take anywhere from a day to never, and some do not know a follow-up was owed at all.
- Follow-up happens on every lead, not only the ones a salesperson remembered. The first response is immediate rather than next-day, and if a call goes unanswered the agent moves to WhatsApp instead of giving up.
- It runs across every channel the business uses (inbound and outbound calls, WhatsApp, email and social messages), and the conversation keeps its context when the buyer replies somewhere new. Nobody has to re-explain what they wanted.
- It re-engages the buyer who went quiet after a site visit, and the one who asked about a project two months ago and never heard from anyone again.
What it produced
10,000+ conversations / 30 days~550 sales enquiries → ~500 leads~100 → ~500 leads a monthEvery lead followed upFirst response: instantCRM updated, exec notified
The team there describe the change as relief more than anything: their people finally spend the day on the leads worth chasing instead of reconstructing which ones were never called.Reported by the TalkTaro team. Paraphrased, not a quotation
AI agents for real estateHospitality
Composite exampleForty room enquiries, one front desk
Weekend enquiries arrive faster than the desk can answer them, and each one is the same four questions. The guest who waits twenty minutes for a WhatsApp reply books somewhere else.
- Every enquiry gets an answer immediately, on the channel it arrived on: rates for the dates asked about, what the tariff includes, check-in timing, whether the room takes an extra bed.
- It handles the pre-arrival back-and-forth that normally eats the desk's morning: directions, early check-in requests, airport pickup, dietary notes passed to the kitchen.
- Anything it should not decide alone (a group rate, a refund, an upset guest) goes to a human with the whole conversation attached, so the guest never repeats themselves.
What it produced
Deluxe King · 2 nightsRate quoted from the live tariffEarly check-in flaggedBooking request confirmedDesk freed for arrivals
Ecommerce · D2C
Composite exampleThe order that would have been returned
A cash-on-delivery order ships, the customer changes their mind or was never reachable, and it comes back. The product travelled twice and earned nothing, and nobody found out until the courier updated the status.
- The agent calls or messages within the hour to confirm the order, the address and the delivery window, in the customer's own language.
- If the customer wants to change size, colour or date, that is a conversation rather than a cancellation. If they have gone off the idea entirely, the order is stopped before it ever leaves the warehouse.
- Where an enquiry turns out to be bigger than one unit, it recognises that and routes it: a shopper asking about one laptop and a buyer asking about twelve are not the same conversation.
What it produced
COD order confirmedDelivery window agreedAddress corrected pre-dispatchBulk enquiry escalated · 12 unitsQuote requested · $180/unit off
Integrations
Works with everything you already use.
Conversations, leads and outcomes land in the tools your team already works in, without anyone copying them across.
Salesforce
Auto-update opportunity stages
WhatsApp Biz
Follow up via messaging
Twilio
Power cloud voice calls
Slack
Get real-time call alerts
Google Sheets
Export transcripts and data
Calendly
Book meetings from calls
HubSpot
Capture and sync new leads
Zoho CRM
Log calls and contacts instantly
Freshworks
Trigger support workflows
Zapier
Connect 5,000+ apps
Razorpay
Collect payments on call
API / Webhooks
Build custom integrations
Need a custom integration? Talk to us
Turn every interaction into an opportunity
Experience how TalkTaro works for your business.
Questions
Frequently Asked Questions
Still wondering how it works?
Let us make it clear.
TalkTaro handles conversations across your website, calls, WhatsApp, and email, turning every interaction into a business outcome like a lead, booking, or resolved query.
A chatbot follows a decision tree somebody drew in advance, so an unanticipated phrasing falls through. TalkTaro reads intent, and it can act: check an order, book a real slot, write to your CRM. It also takes actual phone calls, which a chat widget cannot.
Most likely. It runs on your own material and your rules, so the industry matters less than whether you have repetitive conversations worth automating. Real estate, education, healthcare and ecommerce are the most common today.
No. It absorbs the repetitive, high-volume conversations so your team spends its time where a person actually changes the outcome. Anything it cannot resolve goes to a human with the full context attached.
Most businesses go live within 30 minutes. You describe your agent's role and knowledge base, and we handle the rest. No code required.
Yes. Tap the mic on this page, tell us your name and email once, and speak with our live AI right away. Or book a walkthrough via our contact form.
TalkTaro is built for multilingual conversations and currently supports 40+ languages. In India the useful case is usually Hinglish rather than either language on its own. A caller who says “mujhe Saturday ko site visit karni hai” gets answered in the same register, not corrected into formal English.
Yes. The publicly listed integrations are HubSpot, Salesforce, Zoho CRM, Freshworks, Google Sheets, Calendly, Twilio, WhatsApp Business, Zapier, Razorpay and Slack, plus API and webhooks for anything not on that list. A conversation can create or update a lead, log the call, book the meeting and notify the owner.
It hands over to a person, and it does so on purpose rather than as a failure state. Escalation rules are yours to set: the customer asks for a human, the question falls outside the knowledge base, the situation is sensitive, or the transaction needs approval. The handover carries the customer details, the conversation history and the qualification, so nobody has to ask the same questions again.
Both. Outbound is where most of the recovered revenue sits: calling a lead back the day after an enquiry, reminding someone about tomorrow’s appointment, re-engaging a prospect who went quiet, or collecting feedback after a service. Outbound calling in India is regulated. TRAI’s rules on registration, calling windows and DND apply to an AI agent exactly as they apply to a human caller.