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Case studies

Results we're accountable for— with the numbers.

Anonymised engagements from lending desks to cold-chain fleets. Each one names the sector reality, the constraint, what we built, the stack and the measured result — not just adjectives.

At a glance

150+
Clients served
1,550+
Projects delivered
14
Industries
9+
Years in business
12Engagements documented
12Sectors covered
72+Modules delivered
100%With measured results
The problem it solves

Why we publish the sector reality, not just the win

Most agency portfolios show a logo, a screenshot and an adjective — "seamless", "robust", "game-changing" — which tells a buyer nothing about whether that team can solve their specific problem. A CRM built for a five-person startup and a CRM built for a 200-store retail chain look identical in a screenshot, and completely different in every decision that actually mattered.

The gap costs buyers at contract time: without the sector context, the real constraints and what was actually built, there's no way to judge whether a vendor's past work is relevant to your problem or just adjacent to it — so decisions get made on the size of the case-study logo instead of the size of the actual challenge solved.

Every engagement below names the sector reality it sat inside, the specific failures we found on day one, what we actually built module by module, and a measured before-and-after — so you can judge fit on substance, not adjectives.

What's in every case study

The four things a portfolio screenshot never tells you.

  • Sector reality

    The industry constraints and rules the system had to work inside.

  • Day-one challenges

    The specific failures we found before writing a line of code.

  • What we built

    Modules, stack and integrations — named, not summarised.

  • Measured results

    A before, an after, a timeframe and a named testimonial.

At a glance

Engagements documented
12
Sectors covered
12
Modules delivered
72+
With measured results
100%
FinTechA Tier-1 Indian NBFC

Loan origination rebuilt from spreadsheet to disbursal

Challenge — A 30-person lending team ran applications on Excel and WhatsApp — slow, error-prone and impossible to audit.

65%Faster processing
0→1Audit trail
8 wksTo first deploy
FlutterLaravelMongoDB
Retail & POSA 200-store QSR chain

POS + inventory replacing manual stock counts

Challenge — Stock-outs and manual counts across 200 stores caused recurring revenue loss and reporting delays.

40%Less stock-out time
3×Faster reporting
200Stores onboarded
ReactNodePostgreSQL
Sales EngagementA B2B sales org

TeleValley: cutting telephony cost by 60%

Challenge — Cloud telephony rentals at ~₹8,400/seat/month made outbound sales expensive to scale.

60%Cost reduction
100%Call tracking
CRMNative sync
FlutterKotlinDjango
Real EstateA multi-city real estate developer

Lead-to-closure CRM for a multi-city developer

Challenge — Site visits, broker leads and follow-ups lived in spreadsheets — 40% of enquiries were never contacted a second time.

2.1×More site visits
ZeroLeads dropped
30%Faster closure
Next.jsNodePostgreSQL
ManufacturingMid-size auto-components manufacturer

Three factories, one payroll: an HRMS that survived month-end

Challenge — Attendance from three biometric systems and a WhatsApp leave group was consolidated manually for two days every month. Payroll errors were routine and statutory filings (PF, PT across two states) were last-minute.

2 days → 1 dayPayroll cycle
0Errors in first 6 runs
620Employees onboarded
Next.jsPostgreSQLDevice API integrationTailwind CSS
HealthcareDental clinic chain, 9 branches

From phone diaries to a queue that runs itself

Challenge — Appointments lived in phone diaries and WhatsApp. No-shows ran 30%, patient history was scattered across branches, and receptionists spent their day on reminder calls.

-62%No-shows
9 branchesOne patient record
3.5 hrs/dayReception time saved
React NativeNode.jsWhatsApp Business APIPostgreSQL
Retail / D2CD2C apparel brand

Cutting COD returns by a third without touching revenue

Challenge — Cash on delivery drove 58% of orders — and 31% of them returned to origin. Blanket COD fees were being considered; the brand wanted the revenue without the risk.

31% → 21%COD RTO
+8%Prepaid share
₹6.2L/moReverse-logistics saved
Next.jsRazorpayShiprocket APIWhatsApp Business API
EducationK-12 school group, 4 campuses

An LMS that parents actually open — and fees that reconcile themselves

Challenge — Three disconnected tools (one per campus), fee collection tracked in spreadsheets, and homework/announcements on WhatsApp groups parents muted.

94%Fee on-time collection
DailyParent app usage
40+ hrs/moAdmin time saved
FlutterNode.jsPostgreSQLRazorpay
LogisticsCold-chain logistics operator

Temperature-proof delivery: live tracking that survives dead zones

Challenge — Clients demanded temperature proof per trip. Drivers' phones lost signal on highway stretches; trip sheets were photographed and emailed, and disputes were settled by whoever's paperwork looked better.

100%Trips with temp proof
-70%Delivery disputes
180 vehiclesLive-tracked
React NativeSQLite offline syncNode.jsPostgreSQLIoT sensor integration
Food & BeverageQSR chain, 22 outlets

Escaping the 30%: direct ordering that aggregates couldn't eat

Challenge — Aggregator commissions took 28–30% of order value. The chain's own website converted poorly, and phone orders had no payment capture or order history.

32% of revenueDirect orders (was 6%)
₹0Commission on those orders
41%Repeat rate via loyalty
Next.js PWANode.jsRazorpayPrinter/KOT integration
Sports / TravelSports-turf booking network

From call-and-pray to 1,800 automated bookings a month

Challenge — Bookings arrived by calls and WhatsApp; double-bookings were weekly, no-shows were 25%, and slot pricing was flat regardless of peak demand.

1,800/moPaid online bookings
25% → 8%No-shows
+18%Peak-slot revenue
Next.jsNode.jsPostgreSQLRazorpayWhatsApp Business API
SaaS / DevOpsFintech back-office platform

The cloud bill audit: 34% recovered in one week, monitoring added the next

Challenge — A growing SaaS platform's cloud costs had doubled in a year. Nobody owned the bill: forgotten staging environments, oversized instances and cross-region chatter inflated it monthly.

-34%Monthly cloud spend
1 weekAudit to fixes
100%Backups restore-verified
AWSTerraformGrafanaNode.js
Reports

Published numbers, not marketing claims.

Downloadable reports we refresh on a schedule: how delivery is performing, and what custom software actually costs in India. Read them before you talk to us.

Quarterly delivery report

Delivery Report — Q3 2026

July – September 2026· PDF · A4

Download PDF

How our engagements performed this quarter: response times against the SLA, milestone punctuality, uptime on managed systems and the time clients got back from the delivery model. Published every quarter, whether the numbers are flattering or not.

  • 94% of milestones delivered on or before the agreed date across 38 active engagements
  • Average first reply of 3 hours 40 minutes against the contractual 24-hour SLA, with zero breaches
  • 99.96% uptime across managed production systems, with every backup restore-tested in the quarter
  • Thin-slice prototypes reached working software in 19 days on average from scope sign-off
Time returned to client teams per engagement, hours per month
Status meetings replaced by weekly demos: 16 hrs / monthStatus meetings replaced by weekl…16Manual month-end reconciliation: 14 hrs / monthManual month-end reconciliation14Chasing vendor updates: 9 hrs / monthChasing vendor updates9Re-keying data between tools: 22 hrs / monthRe-keying data between tools22Reporting assembled by hand: 11 hrs / monthReporting assembled by hand11
View as table
Itemhrs / month
Status meetings replaced by weekly demos16
Manual month-end reconciliation14
Chasing vendor updates9
Re-keying data between tools22
Reporting assembled by hand11
Buyer's guide

Custom Software Pricing Guide — India 2026

2026 edition· PDF · A4

Download PDF

What drives a ₹2–6 lakh build versus ₹8–20 lakh and beyond, the three variables that actually move the price, typical timelines per band, and the questions to ask any vendor before signing. Written for owners and CFOs, not engineers.

  • Three pricing bands with what fits in each, typical timelines and what is always included
  • The three variables that drive cost: user roles, integrations and genuinely custom workflow
  • A fixed-bid vs dedicated-team decision framework and the hybrid most SMEs should choose
  • Six vendor questions that separate a delivery partner from a body shop
Typical first-release timeline by pricing band, weeks
Single-workflow tool (₹2–6 lakh): 6 weeksSingle-workflow tool (₹2–6 lakh)6Departmental system (₹8–20 lakh): 11 weeksDepartmental system (₹8–20 lakh)11Platform / multi-department (₹25 lakh+): 18 weeksPlatform / multi-department (₹25 …18
View as table
Itemweeks
Single-workflow tool (₹2–6 lakh)6
Departmental system (₹8–20 lakh)11
Platform / multi-department (₹25 lakh+)18
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