A voice agent on your existing number, in your brand's voice and your customers' languages
Answers from your price list, timings and policies, with bookings going straight into your calendar or system
Transfer to a person with the caller's name, need and notes already on screen
Practice calls with simulated callers before it answers a real one
A recording and summary of every call that your team can search
For example, in your trade
A dental clinic's AI agent books, moves and confirms appointments after hours and sends the patient the slot on WhatsApp.
A builder's AI agent answers site visit enquiries on weekends, checks budget and location and books a slot with the sales team.
An AC service company's AI agent takes breakdown calls at night, logs the job and tells the customer when a technician can come.
What we never promise
Never promise it sounds human on every line or understands every accent; bad lines and rare dialects go to a person, and callers are told they're speaking with an AI. It books and answers from your own information and never gives medical, legal or financial advice; those questions go to a qualified person.
A trigger from your website, ad forms and listing portals that starts the call
Qualifying questions you choose, with the answers written into your CRM
Bookings into your sales team's calendars, with a WhatsApp confirmation
Retries at sensible hours, and a hand-off to a person for hot leads
For example, in your trade
A coaching institute calls each website enquiry within a minute, asks the course, city and batch, and books a counselling slot.
A developer's AI agent calls every ad lead, checks budget and timeline and books site visits for the weekend.
What we never promise
We only call people who asked to be contacted, inside the permitted hours and from the number series the telecom rules require. Every call opens by saying it's an AI agent calling for you.
Scheduled calls from your bookings, with a script and timing you approve
Replies understood in plain speech: confirm, reschedule, cancel or ask a question
Records updated as the call ends, with a WhatsApp message to follow
Escalation to a person when a caller says they're unwell, sounds upset or asks for a person
For example, in your trade
A diagnostic lab calls the evening before every home sample collection to confirm the address and the fasting instructions.
An organiser's AI agent calls 400 invitees to confirm attendance and food preferences, and the guest list updates as each call ends.
A courier calls before each high value delivery to check someone is home, so the van doesn't make a wasted trip.
What we never promise
It confirms and records and never gives medical or legal advice; callers are told it's an AI, we call only people who agreed to calls, inside permitted hours, and anything clinical goes to a qualified person.
Reminder calls from your dues list, timed to the due date and each customer's history
Promise-to-pay dates captured and written to your books
A payment link on WhatsApp or SMS straight after the call
Every call recorded and checked against your script and the rules
For example, in your trade
A lender's AI agent reminds two-wheeler loan customers three days before the EMI date in Hindi, Marathi or English and sends the payment link.
A school reminds parents of the term fee in their language and books a call with the accounts office for anyone who asks for more time.
A co-living operator reminds residents that rent is due and logs who has promised to pay by when.
What we never promise
We never threaten, never call outside the permitted hours and never discuss a debt with anyone but the customer; disputes go to a person. Every call opens by saying it's an AI agent calling for you.
Speech recognition taught your product names and place names, and checked on a sample of your own recorded calls
Voices for each language your customers use, with your words pronounced right
Language detection that follows the caller when they switch mid-sentence
Accuracy measured per language on your own calls before anything goes live
For example, in your trade
A citizen helpline answers in Hindi, Tamil, Bengali and Marathi and passes rare dialects to a person.
A home appliances brand takes service calls in Kannada and Telugu with the same AI agent that speaks English.
What we never promise
Never promise equal accuracy in every language and dialect; we measure on your own calls first and send weak ones to a person. Phone lines and noisy places lower accuracy, so we test on real phone audio. We train only on data your customers were told could be used this way, with names and numbers masked first.
Screening calls in the candidate's language, at times they choose
Questions and scoring you set, the same for every candidate
A shortlist with each answer, the recording and the reason for each score
Interview slots booked for the people your recruiter picks
For example, in your trade
A delivery company screens 600 rider applicants in a week on licence, area and shift, and recruiters meet the top 60.
A staffing firm's AI agent calls every applicant for a contact centre hiring drive, checks language and availability and books the walk-ins.
What we never promise
Never let it decide alone who gets hired; recruiters see every answer, candidates are told it's an AI, and nothing is scored on age, gender, caste or religion. A weak line or a strong accent never lowers a score; unclear answers go to a recruiter to hear.
Survey calls with questions you approve, asked the same way every time
Open answers understood and grouped into themes, with real quotes
A live report by branch, product or team
A follow-up from a person for anyone who's unhappy
For example, in your trade
A health programme calls 3,000 households in Odia and Hindi to ask whether the clinic visit happened and what stopped them if it didn't.
A car service chain calls every customer two days after a service and alerts the workshop manager to any complaint.
What we never promise
We call only people who agreed to be called, inside permitted hours, and tell them it's an AI. Never promise survey-grade accuracy from a small sample; the report shows how many answered and who didn't.
Transcripts of every call in the language it was spoken, with who said what
A scorecard you write: greeting, disclosures, need found, objection handled, next step
Alerts for compliance misses and angry customers within minutes
Coaching notes for each person, with the moments in the call that matter
For example, in your trade
An insurance broker checks every sales call for the required disclosures and flags any policy sold without them the same day.
A real estate firm sees which questions its best salespeople ask on calls and teaches them to the rest of the team.
What we never promise
Never let a score judge a person on its own; scores guide coaching and a manager reviews before any action. Transcripts mishear on bad lines and in some languages, so every flag links to the moment in the recording and a person listens before anyone acts.
Dictation that runs on the laptop or phone, so the audio never leaves it
A word list of your products, clients and jargon so they come out right
Clean-up that removes the ums and formats lists, mails and notes
Spoken shortcuts for text you write every day, like a referral letter or a site note
For example, in your trade
A physiotherapist speaks the session note between patients and it lands in the patient record, formatted the clinic's way.
A lawyer dictates the first draft of a notice on the drive to court and edits it at the desk.
What we never promise
Never promise it gets new names right first time; new names go into the word list and the person checks before sending. On-device speech is best in English and Hindi; other languages may need your own server.
What we have built that shows it
Dictation on the computer itself, built for our own company.
A brand voice, designed from a brief or cloned from a speaker who signs consent
A pronunciation list for your names, places and products
A voiceover pipeline for training, product and ad videos
Approval before anything in the voice is published
For example, in your trade
A training company voices 200 course videos in its lead trainer's voice, with her signed consent and every script approved.
A fashion brand uses one voice across its store announcements, phone line and reels.
What we never promise
We never clone a voice without the person's written consent or imitate a celebrity or public figure, and every AI-made voice is labelled the way India's IT Rules ask.
Transcription and translation checked by a native speaker for your terms
Dubbing in the original speaker's voice with consent, or in a voice you choose
Lip sync for talking-head videos where it holds up
Subtitles and a finished version for each language, ready to post
For example, in your trade
A plant's safety induction video is dubbed into Hindi, Odia and Bengali for contract workers, in the trainer's own voice.
A publisher turns each English explainer into Tamil and Telugu versions the same week, with subtitles.
What we never promise
Never promise perfect lip sync on fast cuts or several faces, and medical or legal content always gets a human translator's check. Dubbed voices are labelled as AI-made, and voice quality varies by language, so a native listener checks each language before it's used.
Scripts written from your reports, manuals and newsletters, approved before anything is voiced
Narration in a brand voice, or a real person's voice with their signed consent
Two-voice podcast episodes that talk a topic through the way your listeners would ask about it
Versions in Hindi, English and the languages your listeners use, each checked by a native listener
Episodes sent on WhatsApp, in your app or on a private feed, with listens counted
For example, in your trade
A tractor maker sends its dealers a five minute audio update in Hindi and Marathi on WhatsApp every Monday.
A mutual fund distributor turns its monthly market note into a two-voice episode clients play on the commute.
A publisher turns a chemistry textbook into chapter audio in Hindi and English for students who learn by listening.
What we never promise
AI voices are labelled the way India's IT Rules ask, a real person's voice is used only with signed consent, and every script is approved before it's voiced.
Live captions on the big screen and on each person's phone, in the language they pick
Your names, products and terms loaded before the event, so they come out right
A person watching the captions live, ready to fix or pause them
A transcript and a short recap of each session, the same day
For example, in your trade
A trade show organiser captions every talk in English and Hindi on the hall screens and on visitors' phones.
A company's town hall in Gurgaon is captioned live in Hindi and English for staff watching from four plants.
What we never promise
Live captions mishear names and numbers, so we load your terms first, a person watches the feed, and captions are never the record for anything binding.
What we have built that shows it
Conference apps in two languages, built for an industry body in Asia Pacific, for its leadership meetings: live captions and a written recap of every session the same day, in two languages.
A sample call: an AI voice agent books a dental appointment in Hindi and English. Shown with sample data.
Voice, in your trade.
The same capabilities, said the way they would work in a business like yours. Pick your trade.
For example, in your trade
A coaching institute calls each website enquiry within a minute, asks the course, city and batch, and books a counselling slot.
We never name a client or show how they run inside. Each piece says what kind of company it was built for, and every number says what it counts and when.
DictationOn this computer
Listening
Note to the teamOpen document
Quick update on the Baner site. The flooring is in, and the electrician starts on Monday.
Please check the lighting plan before he arrives
Hold the key and talk
Shown with sample dataNothing said leaves the computer
45 minutes on a video call with our founder and the people who live with the problem. Nothing to sign. You leave knowing what we would build first, and why.