10X Business Growth
Technology · Scheme documentation · Positioning
Case studies

Twelve engagements, told by the problem.

The first five run our growth engine end to end. The rest are the heavier work. Client names are withheld while plans are still working, and references are available on request.

Twelve engagements 2014 to date
Growth engineFiveFound, engaged, converted and retained, end to end.
Heavier workFourDocumentation, entry strategy, institutions.
Our ownThreePlatforms we built and still run ourselves.
Client namesWithheldWhile the plans are still working.

By capability: positioning 8, technology 11, documentation 4. References on request.

Talk about yours
Case 01

The brand that sold itself while nobody was at the desk

Consumer goods · Food products
01 Positioning02 Technology

The problem. A good product on local shelves and nothing online. Three national brands came up first, and AI assistants did not mention them at all.

ResultA loop that finds, engages, sells and retains without a person at any step.

How it worked
THE LOOP · NOBODY AT THE DESKFOUNDArticles and AIanswersMOJO portals, AEO,listings, reviewsENGAGEMENTA quiz, paid instockAI made and posted thecreativeCONVERSIONWhatsApp botCaptures, qualifies,takes the orderRETENTIONAn audience youkeepNurture, retargeting,first partythe audience feeds the next campaignWHO DID ITAI designedAI postedA bot soldAI optimisedNOT IN THE LOOPNo creative team, no media buyer, no telecaller, no salesperson
Case 02

Asking two lakh from people who had never heard of you

Health and nutrition · Franchise
01 Positioning02 Technology03 Documentation

The problem. Formulations and ambition, but no plant and no reputation, in a category where buyers can name four established brands without thinking.

ResultMarket entry with no plant capex, and franchise onboarding run end to end by a bot.

How it worked
THE ASK · TWO LAKH PER FRANCHISE FROM A BRAND NOBODY HAD HEARD OFMAKEContract plantMatched on capability,capacity, licenceTRUSTAuthority firstArticles, AI answers,reviews, listingsSELLAI onboarding botEnquiry, qualify,territory, documentsSUPPORTFranchisee demandSame engine, run intheir territoryWHY IN THIS ORDERNobody pays two lakh to a brand they cannot find, so authority came before any sellingNO PLANTWent to market without building anythingNO FIELD FORCEThe bot ran onboarding end to end
Case 03

Finding the patients a hospital was already closest to

Healthcare · Hospitals and diagnostics
01 Positioning02 Technology

The problem. City-wide advertising for a hospital most people chose by distance, and referrals living in relationships nobody had written down.

ResultSpend moved to the PIN codes that convert, with referrals traced to a named list.

How it worked
CAMPS AND CAMPAIGNS · PIN CODE × SPECIALITYcamp and campaignwatchno spendIllustrative grid. Spend follows the mappedcatchment instead of the whole city.REFERRAL LOOP · AUTOMATEDReferral networkClinics, labs, pharmaciesPatienttreatedAuto updateAcknowledgement, outcomeDoctorrefers againno one hasto rememberAUTHORITY LAYERSpeciality articles on local portals, named in AI answers, reviews from treated patients, a profile per location
Case 04

Admissions, when parents ask an AI before they ask a counsellor

Education · Universities and schools
01 Positioning02 Technology

The problem. A short admission season spent on walk-ins who were never going to apply, because the shortlist had been made before anyone called.

ResultEnquiries qualified by course and intake before a counsellor sees them.

How it worked
WHERE THE DECISION ACTUALLY HAPPENSParent searchesAsks an AIReads reviewsShortlist madeall of it before a counsellor ever speaks to themFOUNDPlacements inprintLocal portals, AEO,reviews, GBPENGAGEMENTAptitude andscholarship testReward is a seat or afee concessionCONVERSIONWhatsApp botFees, hostel,placements, thenqualifiesRETENTIONUntil the seat istakenParent updates, then thealumni listQUALIFIED BYCourse, intake year and district, before a counsellor spends a minute on the leadTHE SEASONCounsellors work applications instead of walk-ins who were never going to apply
Case 05

Farm to kitchen, with the middle removed and the return trip put to work

Agri and food · Value chain
02 Technology03 Documentation

The problem. Farmers sold at the mandi rate while kitchens paid four times that, and nobody in the chain could see where the difference went.

ResultA shorter chain, an export case on paper, and a second income line out of the empty return trip.

How it worked
BEFORE · 1X AT THE FARM GATE, 4X AT THE KITCHENFarmerMandiWholesaleRetailKitchenprice climbs at each hop, and handling and spoilage take the differenceAFTER · MARGIN VISIBLE AT BOTH ENDSSUPPLYFarmer groupsAggregated, graded, cropcalendar by seasonPHYSICAL MIDDLEPack house, cold chainCapital modelled: agri infra,food processing, ODOPDEMANDBuyers with a specInstitutions, hotels, retail,subscriptionsEXPORTAPEDA route mapped and documented, so the pack house was specified to export standard from day oneTHE RETURN LEGThe lorry goes back empty anywayBuyers hand back electronics and textile waste, it rides home, and farmer groups earn a second lineTECHNOLOGYOrder management, lot to delivery traceability, WhatsApp ordering for buyers without an app
Case 06

Making an industrial association matter to its members

Industrial associations · National and local
01 Positioning02 Technology03 Documentation

The problem. Flat membership, thin member benefit, and no seat at the table when the department was deciding anything.

ResultSeven associations to date, three national and four local, each with a weekly reason to stay a member.

How it worked
THE WEEKLY REASON TO STAY A MEMBERSOURCESGovernment portals andnewsScraped daily, filtered bysectorENGINEBulletin builtautomaticallyOnly what moves that sectorWhatsAppAssociation appMember news portalmembers hear it from the association firstAND ON TOP OF THATPOLICYUpdates written up as usable casestudiesEVENTSAlerts: what is coming, and whoshould goSCHEMESProgrammes the association can run,documentedREPORTSSector reports published jointlyAUTHORITYArticles across news platformsONLINE EVENTSMembers in the room between AGMsSeven associations to date: three national, four local
Case 07

A defence technology business entering Madhya Pradesh

Defence and aerospace · Greenfield entry
01 Positioning03 Documentation

The problem. Land, approvals, incentives, talent and the first order, all needed at once and each one waiting on another.

ResultOne entry sequence, with incentives quantified before the investment decision rather than after it.

How it worked
01LandSites on power,access, effluent,room to grow02Approvals mapDocuments eachdepartment needs,in order03IncentivesCapital, jobs,stamp duty, withconditions04Supply andtalentRegional vendorsand skills mapped05First ordersProcurement routes,vendor registrationINVESTMENT DECISIONafter the numbersAllotment and approval documentation prepared for the promoters to filePositioning throughout: defence and investment expos, a knowledge position with the state ecosystem
Case 08

Investment prospects for a state government

Government of Madhya Pradesh · Data mining
02 Technology

The problem. Investor lists full of the same names everyone already calls, and a summit date that would not move.

ResultA qualified, contactable pipeline the department could work after we left.

How it worked
01Public datasetsFilings, trade,licences, patents,tenders02Matched to MPLand, power, rawmaterial, policy03EnrichedDecision makernamed04OutreachSequenced,automated campaign05MeetingsBooked before thesummit06PipelineStatus, owner, nextactionwidequalified and contactable
Case 09

An exhibition stall that captured what it attracted

Events and exhibitions
01 Positioning02 Technology

The problem. Crowds at the stall for three days, and nothing afterwards except a pile of visiting cards.

ResultThe same budget, now producing a scored and attributable enquiry list.

How it worked
BEFORECrowdBrochureNo recordAFTERInteractive state mapTouch kiosksQuizzes and gamesAI avatar presenterDigital flipbooksEVERY TOUCHVisitor loggedBuilt into eachexhibitSCOREBy what theyviewedNot by badge scanAFTER THE SHOWFollow-up runsSegmented, not oneemailLive stall dashboardfootfall to enquiryday two: change the pitch
Case 10

MOJO Network: a newsroom in one person's hands

Our own platform · Media technology
02 Technology

The problem. District reporters with the stories and none of the apparatus. No brand, no platform, no way to earn.

Where it standsPublishers live across nine states, and the distribution layer under every growth engine case here.

How it works
TASK LADDER · EACH STEP UNLOCKS THE NEXT01Portal liveThemes, ePaper,bulletins02FilingMobile filing, desksupport, AI assists03CompliantStatutory pages,grievance workflow04EarningLocal ads, sponsoredreports, eventsNETWORKCross-portalnews blastCorporate adsnegotiatedcentrallyPublishers innine states
Case 11

The Founder Kid: fifty weeks, five pillars

Our own platform · Education
02 Technology

The problem. School teaches the syllabus. It does not teach networking, money, technology or how to think.

Where it standsA digital programme sold per student, built on its cycle and measurement framework.

How it works
50 WEEKS · ONE ANNUAL CYCLE11020304050NetworkingSelf brandingFinancial literacyTechnical skillCritical thinking20 parameter progress frameworkCo-learningThe mother learns alongside, so household habits move tooParent reportDevelopment shown, not attendance
Case 12

Seagull AI: being the answer, not a result

Our own platform · AI discovery
01 Positioning02 Technology

The problem. Search is moving to one AI answer. Either you are cited in it or you are nowhere.

Where it standsLive for clients across sectors, and used on our own properties first.

How it works
SEARCH · THENQueryTen blue linksMaybe a clickYour siteANSWER ENGINES · NOWQueryAI modelOne answerCites youSEAGULL AI LAYER · HINDI AND ENGLISHKnowledge graph · schema markup · trust signals · PR in credible publicationstreated as source of truth
The proof is this page

If you came here from one of our ads, you have already been through it.

An AI made the creative. An AI placed it. A bot, not a person, answered you. Nobody from sales called. That is not a description of the service, it is the service, and you have just used it.

जो अभी आप पे चला, वही आपके बिज़नेस पे चलेगा। What just ran on you is what will run on your business

Start with the objective, not the brief.

Bring the outcome you need and the constraint you are inside. We will tell you which capability applies.

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