What we build07 of 12Answers13 things we build
Only one person knows where to look.
Anyone can ask and get the answer from your own files, with its source, and your expert keeps the final say.
Tested on twenty of your own past questions before it goes live, and kept working as AI changes.
Eashan Gupta, founder. You meet him on the first call.
All 13
Everything we build for finding answers.
Each one opens with what we build, three examples and what we don't promise.
A sample company brain: a pricing question answered from your own price sheets and past quotes, with both sources.
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What your senior people know, kept before they leave
Interviews your senior people by voice, turns their answers into playbooks, and makes them searchable.
What we build
- Short voice interviews on a schedule, with questions that dig into real cases.
- Answers written up as rules of thumb, worked examples and red flags.
- A review step where the expert corrects the write up.
- Everything added to the company search with the expert's name on it.
- A map of which topics are covered and which still sit with one person.
For example, in your trade
- Construction. A contractor captures how its senior quantity surveyor prices risk on hill site jobs before he retires.
- Power contractors. A utility records how its most experienced lineman reads fault patterns, in his own words, in Telugu.
What we don't promise. We only interview people who agree, and the write up never adds anything the expert didn't say.
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One search across everything your company knows
Finds any file, mail, chat or record and answers in plain words, with the source linked.
What we build
- Connections to mail, drives, chat, your CRM and ERP, and scanned paper.
- Answers that quote and link the exact source, and say so when nothing is found.
- Each person sees only what they are already allowed to see.
- Questions from the browser, a phone or the team chat, and the colleague who knows most on each topic.
- Runs on your own servers when your files can't leave the building.
For example, in your trade
- Law firms. An audit firm's juniors find last year's working papers and the partner's notes on a client in one search.
- Manufacturing. Shift engineers find how a recurring machine fault was fixed two years ago, from old maintenance logs.
What we don't promise. It never answers beyond what your files say, and access follows the permissions you already have.
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A knowledge base kept current
Finds outdated, duplicate and contradicting documents, asks their owners to confirm, and fills the gaps staff ask about.
What we build
- A read of every document for duplicates, contradictions and old dates.
- An owner for each topic, asked on a schedule to confirm or fix it.
- Answers marked as checked, with the date and the person who checked.
- Gaps found from the questions nobody could answer.
- Draft articles for each gap, written from your files for the owner to approve.
For example, in your trade
- Diagnostic labs. A hospital group finds four different visitor policies across its branches and gets one draft to approve.
- Finance. An NBFC's credit team is told when a policy note cites a circular that has since been replaced.
What we don't promise. The AI flags and drafts, and only the named owner decides what the company's answer is.
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How-to guides written by watching the work
Records how your best person does a task and turns it into a step by step guide with pictures.
What we build
- Screen capture that writes the steps down as someone works.
- Phone video and voice notes for work on the floor or on site.
- Guides with screenshots, warnings and the reason behind each step.
- The same guide in English, Hindi and the languages your staff read.
- A list of the steps worth automating next.
For example, in your trade
- Finance. An accounts team records the month end close once and gets a forty step guide with a screenshot of each screen.
- Manufacturing. A line supervisor films a changeover, and the plant gets a picture guide in Hindi and Marathi.
What we don't promise. Nobody is recorded without knowing, and a guide is checked by the person who does the work before anyone relies on it.
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Training built from your own manuals
Turns your manuals, policies and recordings into short lessons, quizzes and audio briefings in your staff's languages.
What we build
- Lessons and quizzes drafted from your manuals and approved by the owner.
- Audio and video briefings in Hindi, Tamil, English and more.
- Five minute lessons on the phone, with progress tracked.
- Refresher questions spaced over the following weeks.
- A manager's view of who has learned what.
For example, in your trade
- Hospitality. A hotel chain turns its eighty page service standard into twelve five minute lessons for new front desk staff.
- Moving. A courier firm sends drivers a three minute audio briefing in Hindi on the new proof of delivery rule.
What we don't promise. A passed quiz is never proof someone can do the job safely, and safety or clinical training stays with your qualified trainers.
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Practice hard conversations with an AI customer
Staff rehearse sales calls, complaints and negotiations with a realistic AI customer and get scored feedback.
What we build
- AI customers built from your real buyer types and their usual objections.
- Spoken role plays in English, Hindi or mixed speech.
- A scorecard from your playbook after every round.
- Scenarios made from your decks, product pages and real call recordings.
- A manager's view of who is ready for live calls.
For example, in your trade
- Finance. Insurance advisers practise explaining what a policy doesn't cover to an angry customer until they get it right.
- Brokerages. Site sales staff rehearse handling a buyer who keeps asking for a bigger discount.
What we don't promise. A practice score is a coaching aid and never a reason on its own to hire, fire or rate anyone. We train only on data your customers were told could be used this way, with names and numbers masked first.
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Every customer's full history, remembered
Gives your staff and AI agents each customer's whole story: what they bought, what was promised, what went wrong.
What we build
- One timeline per customer from mail, chat, calls, orders and tickets.
- A short summary on top: what they bought, what we promised and what is still open.
- Preferences remembered, like the language they prefer and the person they trust.
- The same memory used by your staff and your AI agents.
- Deletion on request, so a customer's data goes when they ask.
For example, in your trade
- Hospitality. A resort's front desk sees that a returning guest asked for a ground floor room and a late checkout last time.
- Relocation. An account manager opens a family's case and sees the school, the pet and the lease promise in three lines.
What we don't promise. We keep only what customers would expect you to keep, and memory is never used to treat a customer unfairly.
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Every meeting, call and video searchable to the minute
Finds the exact moment in any recorded meeting, call or video where something was said or shown.
What we build
- Transcripts of meetings, calls and videos, with names and terms corrected.
- Search that jumps to the minute and plays the clip.
- Decisions and promises pulled into a register with the exact quote.
- Search inside training videos and site footage by what appears on screen.
- Retention and access rules that you set.
For example, in your trade
- Media. A news desk finds every clip in five years of footage where a minister mentioned a scheme.
- Associations. An association finds the session where a speaker explained the new rules and shares the exact two minutes.
What we don't promise. We only work with recordings people knew were being made, and because transcripts can mishear names and numbers, the clip is always one tap away.
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Ask with a photo, get the right manual pageNew
A technician photographs a machine or error and gets the right manual page, fix and part number.
What we build
- Your manuals, drawings and parts lists read page by page, diagrams included.
- Photo questions from a phone, matched to the right model and page.
- Steps shown with the page and diagram they came from.
- Answers in the engineer's own language.
- Unsolved cases sent to a senior engineer, and the fix added once it's solved.
For example, in your trade
- Power contractors. A solar maintenance engineer photographs an inverter's error code and gets the reset steps from that model's manual.
- Brokerages. A maintenance technician photographs the label on an AC unit and gets its service dates and the right filter part number.
What we don't promise. It shows the manual's own steps and never overrides your safety rules or a qualified engineer's sign off.
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Ask in your language, answered from English files
Staff and customers ask in Hindi, Tamil or Bengali and get answers from your English documents, with sources.
What we build
- Questions typed or spoken in Hindi, English and the main Indian languages, each tested on your own questions before it goes live.
- Answers drawn from the English source, with the original passage shown beside them.
- A glossary so your product names and terms come out right.
- Spoken answers for people who would rather listen.
- Translated summaries checked by a fluent reviewer before they are published.
For example, in your trade
- Government. A scheme helpdesk answers farmers' questions in Marathi from the English guidelines, with the paragraph cited.
- Store chains. Store staff in Chennai ask about a new returns rule in Tamil and get the answer in Tamil.
What we don't promise. Translation can miss legal or medical meaning, so binding text stays in its original language beside the answer. Quality differs by language, so we test each one on your own questions and send weak ones to a person.
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A help centre that writes itself from solved questions
Turns the questions your team answers every day into help articles customers can find themselves.
What we build
- A read of solved tickets, chats and mails for questions that keep coming back.
- Draft articles from the best answers, in your tone.
- Owner approval before anything is published.
- Articles placed on your site, in your chat assistant and in your replies.
- A monthly list of new questions that have no article yet.
For example, in your trade
- Software companies. An HR software firm turns its most repeated ticket answers into help articles, each approved by the support lead.
- Education. A college's admissions team puts up answers to the fifty questions students ask most each year.
What we don't promise. Nothing is published until its owner approves it, and no article promises refunds or terms your policy doesn't give.
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Research for your R&D team: papers, patents and lab results
Reads papers, patents and your lab reports, answers scientists' questions with sources and drafts literature reviews.
What we build
- One search across published papers, patents and your own lab reports and notebooks.
- Answers that quote the paper, patent or report they rest on, with a link.
- Literature reviews and prior art searches drafted for your scientists to check.
- A watch on new papers and patents in your field, sent as a weekly note.
- Your lab data kept on your own servers and never used to train anyone else's model.
For example, in your trade
- Research. A contract research lab gets a sourced review of published methods for a new stability test, with every paper linked.
- Manufacturing. A specialty chemicals maker checks whether a new coating recipe runs into existing patents before it scales up.
- Agriculture. A dairy's R&D team asks which published studies tested a probiotic in Indian conditions and gets the list with findings quoted.
What we don't promise. It's a research aid and never a safety, efficacy or freedom to operate opinion; your scientists and patent attorney decide.
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Tests made and answer sheets marked, with the teacher decidingNew
Makes question papers from the syllabus, reads answer sheets against the marking scheme and suggests marks a teacher confirms.
What we build
- Question papers and practice tests made from your syllabus and past papers, at the level you set.
- Answer sheets scanned on a phone or copier and read, handwriting and diagrams included.
- Marks suggested against your marking scheme, with the reason for each.
- Every suggestion confirmed or changed by a teacher before any result is final.
- A view of where each student and batch lost marks, topic by topic.
For example, in your trade
- Education. A coaching institute's weekly tests for 2,000 students come back with suggested marks and a reason for each answer, for teachers to confirm.
- Education. A school group makes three versions of each term paper at the same level from its syllabus and last year's papers.
What we don't promise. Handwriting and diagrams are read with errors, so the AI suggests marks and the teacher gives them; no result is final without a teacher. Typed and multiple choice answers are the settled part, and handwritten marking is the newer one, so we test it on your own sheets first.
Most owners don't know
What AI can now learn from your people.
A phone's photo of a machine, and the page of its manual it found.
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 what only one person in your company knows.
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.