Conversations in.
Value out.
Voice agents built around your business, for any job: support, sales, teaching, hiring and more. They speak 29 languages, write down what happened in every conversation, and get better every week.
74,300
Conversations a day
29
Languages spoken
6
Industries live
24×7
On every line
An agent for every job you give it.
Every IndusLabs agent is built for one business and one job: who it talks to, what it knows, what it may do, and what it writes down afterwards. Pick a job, type your company's name, and watch the agent take shape.
Asha, Sunrise's support agent. Opens with: Hi, this is Asha from Sunrise support. I can see your order from Tuesday. Is this about the delivery?
Asha
Sunrise's support agent
Talk to Asha now, as one of Sunrise's customers. Uses your microphone.
Knows
- Your help centre and return policy
- Each caller's orders and tickets
- What changed in the last release
Can do
- Tracks orders and starts returns
- Raises and updates tickets
- Sends the fix on WhatsApp or email
Writes down
- Reason for contact
- Resolved on the call or not
- Sentiment at the end
- Ticket number
Hands over to a person when the caller asks for a person twice, or a refund is above your limit.
The two-minute tour
How an agent goes from its first conversation to a record in your reports, and how it gets better every week.
- Length
- 2:00
- Languages
- 4
Watch a conversation turn into a record.
A re-enacted conversation, played at reading speed. As the other person talks, the agent fills in what you need to know. Pick another one to see a different job in a different language.
- 1
It listens in any language
Hindi, Tamil, Bengali, English, and every mix of them, mid-sentence.
- 2
It does the job
Takes the order, teaches the lesson, screens the candidate, books the slot.
- 3
It writes it down
Each fact lands in a field your team and your systems can use.
Conversations a day across our live deployments
74,300
- NBFC32,000
- Consumer appliances20,000
- Automotive14,000
- Healthcare6,500
- Food retail1,800
- Agent
नमस्ते शर्मा जी, Sunrise Distributors से बोल रहा हूँ। आपका last order 34 दिन पहले आया था, आज stock refill करना है?
- Retailer
हाँ, 750 watt mixer grinder के 10 piece भेज दो। और 400mm pedestal fan का rate क्या है?
- Agent
Fan ₹1,840 per piece है, और इस महीने 12 पर 1 free scheme चल रही है।
- Retailer
ठीक है, fan के 12 piece भी add कर दो। Friday तक आ जाएगा?
- Agent
जी, order बन गया है, Friday तक delivery होगी। Confirmation WhatsApp पर भेज रहा हूँ।
Record, written by the agent
- Outcome
- Order placed
- Items
- Mixer grinder 750 W × 10, Pedestal fan 400 mm × 12
- Order value
- ₹58,480
- Delivery
- Friday
- Follow-up
- WhatsApp confirmation sent
Talk to it yourself.
We can't play you our customers' calls, so talk to the agent instead. Same voice and speech models, any of 29 languages.
- Start in English, finish in Hindi
- Switch mid-sentence. It follows without being asked.
- Interrupt it
- Cut in while it talks and change your mind.
- Book something
- Ask for a service slot and give it a day and time.
- Ask for a person
- Say it any way you like, and hear how it hands over.
Ready when you are
नमस्ते and 28 more languages
Uses your microphone while the call is on. Leaving the page ends the call.
All of it, in one dashboard.
Every conversation lands in your reports, in the fields you chose. Here, for a reorder agent: whether the retailer ordered, why not, and what was promised. Click any value to see the calls behind it.
Reports
How Retailer reorder's calls went, last 7 days
- Calls
- 8,412
- +18% vs last week
- Average call length
- 2:12
- +6% vs last week
- Total talk time
- 308 h
- +21% vs last week
- Calls with a recording
- 100%
- 8,412 of 8,412 calls
Calls per day
Busiest 8 Oct with 1,385
After the call
Sent automatically when the call ends
- WhatsApp confirmations
- 1,094
- Owner alerts
- 61
- Callbacks scheduled
- 2,105
Call outcomes
What the agent recorded at the end of each call
Order placed
Did the retailer place an order on this call?
Why no order
If no order, the main reason the retailer gave.
Language the retailer chose
The language the call ended in.
Call logs filtered to Stock not moving, 2,416 calls
- 10:42Retailer 4120Hindi, 1:48"पिछला माल अभी shelf पर ही है।"
- 13:18Retailer 4157English, 2:31"Last month's fans haven't sold yet."
- 16:05Retailer 4194Marathi, 0:57"अभी जगह नहीं है godown में।"
It gets better every week.
The records show exactly why calls fail. Each week the biggest reason gets fixed, and the new version has to beat the old one before it stays. Over two months, that took this agent from 7.9% to 13% of calls ending in an order.
- 1
Read the records
Every call's outcome, ranked by the reasons calls did not convert.
- 2
Fix the biggest reason
Change the timing, the script, or what the agent can send during the call.
- 3
Measure the new version
Run it against the last one on the same kind of calls, and keep it only if it wins.
Calls ending in an order, v1 to v4
+5.1 pts
7.9% to 13%: 65% more orders from the same number of calls, between 4 Aug and 6 Oct.
Calls that ended in an order, by agent version
What the records showed
"Busy, call later" was the top reason: 41% of lost calls landed in the shop's morning rush.
What changed, up 1.7 points on v1
Call window moved to 3pm to 7pm. Callbacks are booked at the time the retailer names.
What it could be worth to you.
Start from a business like yours, then change the numbers to your own. No sign-up, and every assumption is on the page.
Starting point: Starting figures from our consumer-appliances deployment: 20,000 retailer calls a day, 45% connected, about 3% ordering at ₹18,000.
A month of calls could bring in
₹11.7 Cr to ₹17.5 Cr
in orders
- Orders
- 8,100
- Calling hours handled
- 11,250
How it's worked out: 6,00,000 calls × 45% reached × 3.0% orders × ₹18,000, shown from 20% below to 20% above that.
Where it already works.
Six live deployments. Our customers stay unnamed, but the results are theirs, measured in production.
Before
Retailer coverage depended on salesmen physically showing up. A salesman on leave meant his whole beat went unvisited, retailers who stopped ordering went unnoticed for weeks, and new launches only reached whoever someone happened to visit.
What the agents do
Four outbound agents work the retailer base daily: beat cover for absent salesmen, reactivation after 30 days without an order, reward-point prompts, and new-product introductions. Each takes the order on the call, straight into the order system.
Derived: ~9,000 connected calls a day convert at ~3%, at an ₹18,000 average order value — retailers often trial a new line with a one- or two-item order, which keeps the average modest.
20,000retailer calls placed per day
45%calls connected
Before
Showrooms answered the phone only in business hours, so evening and weekend enquiries — when most buyers call — went nowhere. Service dates, insurance renewals and exchange eligibility sat in the DMS, acted on only when a dealer had spare capacity.
What the agents do
One inbound agent covers the line around the clock for bookings, queries and lead routing. Four outbound campaigns run alongside: service-due reminders, insurance renewals, exchange and upgrade offers, and new-launch announcements.
One 24×7 inbound agent plus four outbound campaigns across the owner base.
14,000calls handled per day
27%of enquiries arrive outside showroom hours
Before
Servicing, collections and credit verification competed for one small telecalling team. Pre-due reminders were first to be dropped at month-end, pushing accounts into later buckets that cost far more to recover, while field verification added days to every sanction.
What the agents do
Six agents split the work. Three inbound: existing loans, new applications, general queries. Three outbound: pre-due EMI reminders, post-due collections with compliant scripting, and a verification agent running structured PD checks before and after credit assessment, escalating anything inconsistent.
Verification agent runs pre- and post-assessment PD checks on every application.
6agents in production, inbound and outbound
32,000borrower conversations per day
Before
High-value gifting and bulk orders were the ones most worth getting right, and the ones nobody had time to follow up. Complaints surfaced days later on social media, and festive planning ran on last year's totals and instinct.
What the agents do
A feedback agent calls every customer whose order crossed ₹5,000 about freshness, delivery and packaging, flagging complaints to the store manager same-day. Responses feed an analytics agent that forecasts demand by line ahead of each festive peak.
Feedback outcomes feed the forecasting agent that drives festive line planning.
1,800feedback calls per day on orders above ₹5,000
4.4/5average satisfaction captured
Before
Enquiries arrived from ads, web and walk-ins with no consistent qualification, so designers spent consultation slots on prospects with no budget or timeline. After-hours leads sat until morning, by which point most had called someone else.
What the agents do
A qualification agent calls every new enquiry within minutes to establish budget, timeline, property stage and scope, then books the consultation into the right designer's calendar. Unqualified leads are nurtured rather than taking a slot.
4,200leads qualified per month
38%pass through as sales-ready
Before
The reception line is the first point of contact for everything at once — appointment booking, report status, ambulance requests, emergencies — and it is busiest exactly when staff are most stretched. Someone in genuine distress waited in the same queue as someone asking about visiting hours.
What the agents do
One inbound agent answers every call around the clock: booking and rescheduling against live doctor availability, checking report status, taking ambulance requests, and answering department and visiting queries in full rather than deflecting. It triages while it talks, and anything signalling a medical emergency or caller distress goes straight to an on-duty human supervisor with the transcript and caller record already on their screen.
The agent triages but never advises clinically — anything critical is escalated to a human, not answered.
6,500inbound calls handled per day
under 10sto reach a supervisor on a critical call
Built in-house, connected to what you run.
We make the voice and speech models ourselves, so we can tune them for Indian accents, names and code-switching instead of waiting on someone else's roadmap.
नमस्तेவணக்கம்নমস্কারHello
Our own voice and speech models
Text-to-speech that keeps one voice across 29 languages, and speech recognition tuned for Hindi-English mixing. 14 Indian languages, from Hindi and Tamil to Bhojpuri and Chhattisgarhi.
Read the API docs
Writes to the systems you already use
Orders, payment promises and bookings go straight into your ERP or CRM when the call ends. Confirmations and owner alerts go out on WhatsApp.
- DPDP Act notice and consent
- Recording and transcript on every call
- Escalation to a person, with the transcript
- Published governance documents
Accountable by design
Every outcome in your reports links back to the call that produced it. Our policies and incident processes are public.
Visit the Trust CenterBook a demo.
Tell us about your calls: how many, in which languages, and which systems they touch. We'll come back with the agent we'd build and what we expect it to return.
Or reach us directly
- WhatsApp+91-810-587-0564
- Emailhello@induslabs.io
- Phone+91-810-587-0564