What we build04 of 12New buyers18 things we build
Quotes go out and nobody follows up.
AI follows up every quote until it's a yes or a no, and your salesperson approves each message.
Tested on twenty of your own past quotes before it goes live, and kept working as AI changes.
Eashan Gupta, founder. You meet him on the first call.
All 18
Everything we build for winning new buyers.
Each one opens with what we build, three examples and what we don't promise.
A sample week of customers going quiet, each one noticed while there is still time to call.
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Repeat orders and quiet customers brought back
Spots customers due to reorder, buying less or gone quiet, and drafts the right note for each.
What we build
- A read of your sales history: who buys what, and how often.
- Alerts when a customer is due, late or buying less than usual.
- Reminders and offers drafted per customer for mail or WhatsApp, sent after your yes.
- Win back plays for customers lost in the last year.
- A monthly list of upsell chances by account for each rep.
For example, in your trade
- Agriculture. A spice exporter sees which importers are a month past their usual reorder and sends each a note with the new crop prices.
- Store chains. A tyre dealer reminds fleet customers when their usual replacement month comes round.
What we don't promise. We only message customers who agreed to hear from you, and we don't promise a reorder.
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Lists of the right companies and the people who decide
Finds the companies that fit your best customers, who decides there, and a checked way to reach them.
What we build
- A written profile of your best customer, drawn from your last fifty wins.
- An AI agent that searches the open web, directories and public registries for companies that match it.
- The decision maker at each company, found and checked against more than one source.
- A fit score for every company with the evidence behind it.
- A weekly refresh into your CRM or sheet, with opt outs and do not contact lists honoured.
For example, in your trade
- Manufacturing. A pump maker gets every food and pharma plant within 300 km that runs steam lines, with the maintenance head named for each.
- Moving. A freight forwarder gets the importers in its port city that ship from Vietnam, with the person who books freight at each.
- Recruitment. A staffing agency gets the factories around Pune hiring shift workers this month, with the HR head and a checked email for each.
What we don't promise. We don't promise a list is complete or every contact is current; we use only contact details people made public or that you're allowed to use, record where each came from, and remove anyone who asks.
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Buying signals watched every morning
Tells your team each morning which accounts just showed a reason to buy, and why.
What we build
- Watchers on hiring posts, funding news, new offices, leadership changes, approvals and tenders.
- Visits to your pricing and product pages tied to the company, never to a named person.
- A morning list ranked by signal strength, each with a one line reason.
- A suggested first message for each account, ready for your rep to edit.
- Signals sent into your CRM and your team chat.
For example, in your trade
- Relocation. A relocation firm hears when a multinational posts thirty roles in Bengaluru, because those hires will need homes.
- Construction. A facade supplier hears when a developer's new tower gets its approval, with the approval notice linked.
- Software companies. A cybersecurity firm sees which banks posted security jobs this week, with the job post beside each.
What we don't promise. A signal is a reason to call and never proof of a sale, and we never identify a named person from a website visit.
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A one page brief before every sales meeting
Every rep walks in knowing the company's news, people, likely problems and history with you.
What we build
- An AI agent that reads the company's site, filings, news, job posts and its leaders' public posts.
- Your own history with them from mail, calls and the CRM.
- Likely problems and good questions to ask, clearly marked as guesses.
- The brief in the calendar invite or the team chat an hour before the meeting.
- Every claim linked to its source and date.
For example, in your trade
- Law firms. A CA firm partner gets a brief on a family business before the first meeting: group companies, recent filings and the founder's last interview.
- Agencies. A creative agency sees a brand's last six campaigns and the marketing head's stated priorities before a pitch.
What we don't promise. We never present a guess about a company as fact, and every line shows where it came from.
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Outreach that reads like one person writing to another
Writes each first message from real research on that company, in your voice, and sends only what you approve.
What we build
- An AI agent that writes from your best emails, your rules and fresh research on each company.
- Follow ups across mail, calls and LinkedIn tasks, timed for each buyer.
- Sending set up so mail reaches the inbox: warmed domains, daily limits and bounce checks.
- Replies sorted into interested, not now, wrong person and no, with meetings booked into your reps' calendars.
- An approval queue where someone on your team edits and says yes, and every opt out is honoured at once.
For example, in your trade
- Software companies. A payroll software firm writes to forty finance heads a day, each note mentioning the labour code change in their state.
- Manufacturing. A packaging maker writes to brand owners about the pack sizes they just launched, and a reply saying call me in March becomes a March task.
What we don't promise. We never message people who opted out, never run automated LinkedIn accounts against its rules, and don't promise a reply rate.
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Every lead checked, scored and sent to the right rep
Gathers leads from every source, checks and scores each one, and puts it with the right rep.
What we build
- One lead list fed by web forms, marketplace leads, ad forms, missed calls and expo card scans.
- Each lead checked: company, size, location, what they asked for and whether they already buy from you.
- A score and routing by your rules: region, product, deal size and language.
- A note to every expo contact, drafted from what was said and sent after a quick yes.
- An alert to the rep, and an escalation if nobody picks it up within your time limit.
For example, in your trade
- Manufacturing. A valve maker's marketplace enquiries land with the right regional rep, with the company already looked up.
- Brokerages. A builder's enquiries from three property portals arrive as one list, with repeat enquirers marked.
- Associations. An exhibitor scans 300 cards at an expo, and every visitor gets a personal note about what they discussed.
What we don't promise. A score only orders the work for your reps, and any lead the rules can't place goes to a person.
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Every open quote chased to a yes or a no
Follows up every quote you send, on your schedule and in your tone, and tells you who's warm.
What we build
- Every quote sent from mail, WhatsApp or your system tracked in one list.
- Follow ups on a schedule you set, each one written for that buyer and that quote.
- Replies read and sorted: a price question, a rival's quote, not now, or a yes.
- Price and scope questions sent straight to the salesperson with the thread.
- A weekly view of quotes won, lost and gone quiet, with the reasons buyers gave.
For example, in your trade
- Manufacturing. An industrial distributor's open quotes each get a follow up on day three and day ten, and the two that mention a rival's price go straight to the sales head.
- Associations. A venue follows up every wedding quote before the family's decision date, mentioning the menu they liked.
What we don't promise. A follow up never offers a discount or changes a price, and anyone who asks us to stop hears nothing more.
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A sales pipeline you can trust on Monday
Keeps every deal current from mail, calls and meetings, flags stalled deals, and forecasts from what buyers said.
What we build
- Deals updated from mail, calendar, WhatsApp and call notes, with nobody typing.
- Stage, next step and close date proposed after each conversation, for the rep to confirm.
- Deals with no buyer contact flagged to their owner every Monday.
- A forecast built from what buyers actually said, beside the rep's own call.
- Won deals handed to operations with every promise made along the way.
For example, in your trade
- IT firms. A systems integrator's Monday view shows the twelve deals where the buyer has gone quiet for a fortnight.
- Brokerages. A leasing team's deal moves to the term sheet stage when the term sheet arrives by mail, and the rep confirms it.
What we don't promise. The AI never changes a deal's value or marks it won or lost, and your rep confirms every change.
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What AI assistants tell buyers about you, checked and fixedNew
Shows what search engines and AI assistants say about you and rivals, then fixes the pages they read.
What we build
- A tracker of the questions your buyers ask AI assistants and search engines, and who gets named.
- Wrong facts about you traced to the page they came from, with corrections drafted.
- Pages rewritten, and new pages written for the questions you don't answer yet.
- Your site made easy for AI crawlers to read: fast pages, clear structure, facts in one place.
- A monthly report of where you are named, where you lost ground, and the pages behind each.
For example, in your trade
- Diagnostic labs. A dental chain sees AI assistants name two rivals for implants in Pune and fixes the pages that explain its own work.
- Hospitality. A hotel group finds AI assistants quoting a restaurant it closed last year and gets the wrong listing corrected.
What we don't promise. Nobody controls what an AI assistant says, so we don't promise a ranking or a mention.
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A content engine built on what your experts know
Turns your experts' know-how and buyers' questions into posts, articles and newsletters you approve, measured by enquiries.
What we build
- A topic plan from real buyer questions, search demand and your sales calls.
- Drafts from two minute voice notes with your experts, in your voice.
- One approval queue for posts, articles, newsletters and case notes.
- Scheduling to LinkedIn, your site and your mailing list.
- A monthly read of which pieces brought enquiries and which didn't.
For example, in your trade
- Law firms. A law firm's partners record a two minute voice note each week and get a client alert and a LinkedIn post to approve.
- Manufacturing. A paint maker turns its engineers' answers to buyers' questions into a monthly note for them.
What we don't promise. Nothing is published in your name without your yes, and we never invent a client story or a credential.
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Ads made, tested and tuned every week
Makes many versions of your ads in each language, tests them, and moves budget to winners once you approve.
What we build
- Ad images, short videos and copy in your brand, in Hindi, English and the languages you sell in.
- A test plan that tries new versions every week.
- A daily read of spend, leads and cost per lead from your ad accounts.
- Budget changes proposed with the reason, and applied after your yes.
- Lead quality from your CRM fed back, so the ads learn which leads became customers.
For example, in your trade
- Education. A coaching institute tests Hindi and English versions of every ad before admissions season and sees which ones bring students who actually pay.
- Store chains. A skincare brand gets twenty new product videos each week, made from its own product photos.
What we don't promise. We never spend or move your ad money without your yes or promise a cost per lead, and no ad goes out with a claim you can't prove.
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More reviews and referrals from happy customers
Asks every customer for a review or a referral at the right moment, so happy customers speak up.
What we build
- A review request to every customer after the job closes, never only to the ones expected to be happy.
- The ask sent on the channel each customer uses, with a direct link to your listing.
- A referral ask with an easy way to pass your name on, and a thank you when someone does.
- Complaints in the replies sent to the owner with the job history attached.
- A monthly count of new reviews and referrals by branch.
For example, in your trade
- Diagnostic labs. A physiotherapy chain asks every patient after their last session, and new reviews arrive every week.
- Relocation. A mover asks each family a week after delivery for a review and the name of a colleague who is moving next.
What we don't promise. We never write fake reviews, never pay for reviews, and never ask only the customers we expect to be happy.
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Tenders that fit you, found and summarised every day
Checks tender portals every day, picks the ones you qualify for, and sums up the rules, dates and papers.
What we build
- Daily checks of GeM, CPPP, state and PSU portals and the private buyer portals you use.
- Matching to what you sell and what you qualify for: turnover, experience and certificates.
- A one page summary per tender: scope, eligibility, deadline, bid security and documents.
- Corrigenda tracked, so a changed date or specification is never missed.
- A bid or no bid note with the reasons, for your call.
For example, in your trade
- Construction. A road contractor gets the four tenders in its states and size band each morning, with the bid security and experience rules pulled out.
- IT firms. A hardware supplier sees every GeM bid for its laptop models with the delivery terms side by side.
What we don't promise. We don't promise to catch every tender on every portal, and the bid decision and the submission stay with your people. We read sites only within their terms and never get around a login or a captcha.
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Importers and distributors found in new countries
Finds the companies abroad that already import what you make, with volumes, suppliers and who to contact.
What we build
- A search of customs and shipping records for importers of your product codes, in the countries that release them.
- Each importer's volumes, current suppliers and ports, where the records show them.
- Distributors and agents found through directories, trade bodies and the web.
- A ranked shortlist with the right contact and a first message in their language.
- A market note on duties, standards and who you would compete with.
For example, in your trade
- Agriculture. A basmati exporter finds sixty importers in Saudi Arabia and the UAE that bought rice in the last year, ranked by volume.
- Manufacturing. An auto parts maker finds the European distributors that already buy the same parts from its competitors abroad.
What we don't promise. Many countries don't publish import records, the data is bought per market and lags by months, so we tell you which markets have it before we start and don't promise a complete picture.
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Warm introductions found in your own network
Shows who in your company already knows someone at each target account, and how well.
What we build
- A map of relationships from your team's mail and calendars, shared with their consent.
- A strength score from how often and how recently people talk.
- For each target account, the best way in and the colleague who should ask.
- Alerts when an important relationship goes quiet.
- Introduction requests drafted for the colleague to send.
For example, in your trade
- Finance. A wealth firm finds that three partners have met a target family office's CFO, and the strongest tie is the tax partner.
- Law firms. A consultancy learns that a former client's finance head now works at one of its target accounts.
What we don't promise. We only read mailboxes and calendars their owners agree to share, and nobody is approached through a colleague without that colleague's yes.
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A page made for each big prospect
Builds a private web page for each major prospect with their goals, your plan and your proof.
What we build
- A page per account with their goals, how you would deliver, and the people who would do it.
- Sections drawn from your approved case notes, team profiles and service details.
- A version for each person in the buying group: finance, operations and the decision maker.
- A record of who opened it and what they read, for your follow up.
- Built from a short brief.
For example, in your trade
- Relocation. A relocation firm sends an HR head a page showing how her forty transferees would move, step by step.
- Associations. An events company sends a sponsor a page with the audience, the booth plan and the package.
What we don't promise. We never put a prospect's or a client's name or logo on a page without permission.
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Government schemes and subsidies you qualify for, found
Matches your company to central and state schemes, subsidies and export incentives, and prepares the application papers.
What we build
- A profile of your company: size, sector, location, exports, investment plans and certificates.
- A watch on central and state scheme notifications, matched to that profile every week.
- For each match, what you'd get, what you must show and the last date, with the notification linked.
- Application papers prepared from your records for your team or consultant to file.
- Claims already filed tracked until the money arrives.
For example, in your trade
- Manufacturing. A forging unit planning a new press finds a state capital subsidy and an interest subsidy it may qualify for, with the papers listed.
- Agriculture. A food processor learns of a cold chain scheme a month before its deadline and has the project report drafted in time.
- Power contractors. A solar module maker sees the state incentives its new line may claim, each with the notification and the date it came from.
What we don't promise. Only the department decides who qualifies, every match shows the notification and date it came from, and we never apply on your behalf.
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Your website tested to turn more visitors into enquiries
Finds where visitors drop off, writes new versions of key pages, tests them on real visitors and keeps winners.
What we build
- A map of where visitors come from, what they read and where they leave.
- New headlines, offers, forms and page orders written for the pages that matter most.
- Tests that show each version to real visitors and count enquiries, never just clicks.
- Winners kept, losers dropped, and the reason for each written down.
- A monthly read of enquiries per hundred visitors, page by page.
For example, in your trade
- Education. A coaching institute tests a shorter enquiry form and a fee table on its course page, and keeps the version that brings more counselling calls.
- Diagnostic labs. A dental chain tests treatment pages with prices against pages without, and keeps whichever brings more booked visits.
What we don't promise. We don't promise a lift before testing, a small site needs weeks to show a winner, and no page changes a price or a promise without your yes.
Most owners don't know
New ways to find your next buyer.
A buyer asks an AI assistant for a supplier, and yours is on its short list.
AI assistants now shortlist suppliers
See which firms an AI assistant names in your trade, and fix its facts.
Shipping records name your next export buyer
Customs records show who already imports what you make.
Your mailboxes know who can introduce you
Your team's mail shows who can introduce you, and how warmly.
It works today. We keep it working tomorrow.
How it works- Work it out, most consultants stop here
- Build it, most software firms stop here
- Run it
- Answer for it
- We stay
Tell us who your best customers are. We'll find more like them.
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.