What we build02 of 12Calls17 things we build

Calls ring out while your team is busy.

Voice agents answer calls in your customer's language and hand the hard ones to your team.

Tested on twenty of your own past calls before it goes live, and kept working as AI changes.

All 17

Everything we build for calls.

Each one opens with what we build, three examples and what we don't promise.

A sample call: an AI voice agent answers an evening enquiry about a flat and books the viewing.

  1. New enquiries called back in calling hours

    Calls each new enquiry back inside calling hours, qualifies it and books a meeting.

    What we build

    • 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

    • Education. A coaching institute calls back each website enquiry, asks the course, city and batch, and books a counselling slot.
    • Brokerages. A developer's AI agent calls every ad lead, checks budget and timeline and books site visits for the weekend.

    What we don't 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.

  2. Every call answered, day and night

    An AI voice agent picks up every call, books appointments, answers questions and hands over with notes.

    What we build

    • 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

    • Diagnostic labs. A dental clinic's AI agent books, moves and confirms appointments after hours and sends the patient the slot on WhatsApp.
    • Brokerages. A builder's AI agent answers site visit enquiries on weekends, checks budget and location and books a slot with the sales team.
    • Telecom. 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 don't promise. It won't sound human on every line or follow 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.

  3. Reminder, confirmation and check-in calls

    AI voice agents confirm appointments, deliveries and attendance, check in after visits and update your records as they go.

    What we build

    • 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

    • Diagnostic labs. A diagnostic lab calls the evening before every home sample collection to confirm the address and the fasting instructions.
    • Associations. An organiser's AI agent calls 400 invitees to confirm attendance and food preferences, and the guest list updates as each call ends.
    • Moving. A courier calls before each high value delivery to check someone is home, so the van doesn't make a wasted trip.

    What we don't 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.

  4. Payment reminders by phone, done politely

    AI voice agents remind customers of dues in their language, note promises to pay and send the payment link.

    What we build

    • 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

    • Finance. 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.
    • Education. 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.
    • Brokerages. A co-living operator reminds residents that rent is due and logs who has promised to pay by when.

    What we don't 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.

  5. Voice in Hindi, English and India's languages

    Your AI voice agents speak and understand Hindi, Hinglish and regional languages, switching mid-call like your customers do.

    What we build

    • 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

    • Government. A citizen helpline answers in Hindi, Tamil, Bengali and Marathi and passes rare dialects to a person.
    • Store chains. A home appliances brand takes service calls in Kannada and Telugu with the same AI agent that speaks English.

    What we don't promise. Accuracy isn't the same in every language and dialect, so we measure on your own calls first and send the 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.

  6. First-round screening calls for hiring

    An AI voice agent calls every applicant, asks your screening questions and gives recruiters a scored shortlist with recordings.

    What we build

    • 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

    • Moving. A delivery company screens 600 rider applicants on licence, area and shift, and recruiters meet the top 60.
    • Recruitment. 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 don't promise. It never decides 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.

  7. Feedback and survey calls people answer

    AI voice agents run short feedback calls in the person's language and turn the answers into a report.

    What we build

    • 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

    • NGOs. 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.
    • Store chains. A car service chain calls every customer two days after a service and alerts the workshop manager to any complaint.

    What we don't promise. We call only people who agreed to be called, inside permitted hours, and tell them it's an AI. We don't promise survey-grade accuracy from a small sample; the report shows how many answered and who didn't.

  8. Every call listened to and scored

    Every sales and service call is transcribed, checked against your script and scored, with coaching notes per person.

    What we build

    • 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.
    • An alert for every compliance miss and every angry customer.
    • Coaching notes for each person, with the moments in the call that matter.

    For example, in your trade

    • Finance. An insurance broker checks every sales call for the required disclosures and flags any policy sold without them.
    • Brokerages. A real estate firm sees which questions its best salespeople ask on calls and teaches them to the rest of the team.

    What we don't promise. A score never judges 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.

  9. Live answers on screen while your team talks

    While your staff talk, the screen shows the answer, the next question and the form already filled.

    What we build

    • Live transcription of the call on your staff member's screen.
    • Suggested answers from your policies and the customer's history.
    • Forms and CRM fields filled from what was said, ready to confirm.
    • A summary and next steps written as the call ends.

    For example, in your trade

    • Finance. A new hire on an insurer's call desk sees the exact claim rule the customer is asking about before the customer finishes the question.
    • IT firms. A helpdesk technician gets the fix for the error the caller describes, from past tickets, while still on the call.

    What we don't promise. The suggestions won't always be right. Your staff decide what to say, and the system learns from what they turn down.

  10. Meeting notes that turn into tasks

    Every meeting is written up with decisions, owners and dates, and the tasks land in your systems.

    What we build

    • Recording on calls and in the room, kept in your own storage.
    • Names fixed, speakers labelled and long recordings split by topic.
    • Decisions, promises and deadlines pulled out with the exact quote.
    • Tasks pushed to your CRM or project tool, and a recap sent for a yes.

    For example, in your trade

    • Construction. After the weekly site meeting every action lands in the project tracker with the person, the date and the quote it came from.
    • Law firms. A law firm's client calls become a file note and a task list, and the partner approves before anything goes to the client.
    • Diagnostic labs. With the patient's consent, a doctor's consultation is written up as a draft note and prescription for the doctor to correct and sign.

    What we don't promise. We record only where everyone is told. We don't promise a perfect transcript of crosstalk or a bad line, and a doctor signs every clinical note.

  11. Talk instead of type, privately

    Staff speak and clean text lands in any app, spelled your way, without the audio leaving the device.

    What we build

    • 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

    • Diagnostic labs. A physiotherapist speaks the session note between patients and it lands in the patient record, formatted the clinic's way.
    • Law firms. A lawyer dictates the first draft of a notice on the drive to court and edits it at the desk.

    What we don't promise. It won't get a new name right the first time. New names go into the word list, and the person checks before sending. Speech on the device is best in English and Hindi; other languages may need your own server.

  12. Your brand's own voice

    A voice designed or recorded for your brand, used on your calls, videos and announcements with your approval.

    What we build

    • 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

    • Education. A training company voices 200 course videos in its lead trainer's voice, with her signed consent and every script approved.
    • Store chains. A fashion brand uses one voice across its store announcements, phone line and reels.

    What we don't 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.

  13. Your videos in every language

    Training, product and ad videos dubbed into other languages in the same speaker's voice, with subtitles.

    What we build

    • 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

    • Manufacturing. A plant's safety induction video is dubbed into Hindi, Odia and Bengali for contract workers, in the trainer's own voice.
    • Media. A publisher turns each English explainer into Tamil and Telugu versions, with subtitles.

    What we don't promise. Lip sync isn't perfect on fast cuts or with several faces, and medical or legal content always gets a human translator's check. Dubbed voices are labelled as made by AI, and quality varies by language, so a native listener checks each language before it's used.

  14. A live interpreter at the counter and on callsNew

    Staff and customers speak their own languages while the AI interprets both ways, live.

    What we build

    • Two-way speech interpretation on a phone, a tablet or a call line.
    • Your terms and names set up in each language so they come through right.
    • A written record of both sides of the conversation.
    • A switch to a human interpreter for consent, diagnosis or legal matters.

    For example, in your trade

    • Relocation. A Japanese assignee and a Gurgaon landlord talk through the lease, each in their own language, with a written record afterwards.
    • Hospitality. A hotel front desk talks with a Russian-speaking guest through a tablet at check-in.

    What we don't promise. Consent, a diagnosis or a legal statement always needs a human interpreter, and people are always told about the short delay.

  15. Talk to your website and app

    Customers press one button and ask, search or book by voice on your website or app.

    What we build

    • A voice button on your site or app that listens, answers and acts.
    • Answers from your catalogue, prices and policies, shown on screen as it speaks.
    • Actions it can take: find a product, fill a form, book a slot.
    • Spend limits, and a typed fallback when the connection is poor.

    For example, in your trade

    • Hospitality. A resort's site lets a guest say 'two nights in December, sea view, with my parents' and shows the matching rooms and prices.
    • Relocation. A consultant edits a family's visit programme by voice and the route map updates as she speaks.

    What we don't promise. Voice is never the only way in. Everything it does by voice also works by tapping and typing.

  16. Podcasts, audiobooks and narrated updates in your voice

    Turns your reports, manuals and newsletters into narrated audio and two-voice podcast episodes, in your customers' and staff's languages.

    What we build

    • 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

    • Manufacturing. A tractor maker sends its dealers a five minute audio update in Hindi and Marathi on WhatsApp every Monday.
    • Finance. A mutual fund distributor turns its monthly market note into a two-voice episode clients play on the commute.
    • Education. A publisher turns a chemistry textbook into chapter audio in Hindi and English for students who learn by listening.

    What we don't 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.

  17. Live captions and translation for events and town hallsBuilt before

    Every talk captioned live on screens and phones, and translated into the audience's languages as it's spoken.

    What we build

    • 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.

    For example, in your trade

    • Associations. A trade show organiser captions every talk in English and Hindi on the hall screens and on visitors' phones.
    • Larger firms. A company's town hall in Gurgaon is captioned live in Hindi and English for staff watching from four plants.

    What we don't 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.

    Built before

It works today. We keep it working tomorrow.

How it works
  1. Work it out, most consultants stop here
  2. Build it, most software firms stop here
  3. Run it
  4. Answer for it
  5. We stay

Bring us the calls that go unanswered.

In 45 minutes with Eashan you leave knowing what we'd build first, and why. Nothing to sign.

What stays yours

  • Your accountsin your company's name
  • Your codeevery line of it
  • Personal dataabout your customers and staff, on your own machine unless you approve otherwise in writing
  • Plain files and a how-to guideif you stop

Eashan Gupta, founder. You meet him on the first call.

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