MIISCOAI & Product Engineering

Work

Problems we've solved — and how.

Every project here follows the same shape: the problem we were given, what we built, the technology we used, and what changed. Where a client hasn't approved public figures, we say so rather than round up.

Projects

Showing 8 projects

  • B2B SaaS

    Making weekly releases safer without slowing engineering.

    Growth-stage B2B SaaS product team

    Problem
    Long manual regression cycles were delaying releases, and defects were still found late.
    What we built
    • Risk-ranked regression automation
    • Maintainable test architecture
    • Release-pipeline integration
    • Reusable test helpers
    Technology
    UI test automation · API testing · CI/CD
    Result
    Regression now runs automatically in CI on every release.
  • Healthcare

    Validating a 24/7 diagnostics network that moves medical imaging securely.

    International healthcare provider

    Problem
    Diagnostics infrastructure had to move sensitive medical imaging securely and reliably, around the clock.
    What we built
    • End-to-end workflow validation
    • Security testing of data transmission
    • Reliability and uptime checks
    • Regression coverage for clinical flows
    Technology
    Reliability QA · Security testing · End-to-end validation
    Result
    Strengthened secure transmission and clinical workflow reliability.
  • iGaming

    Releasing a regulated gaming platform without breaking payments or compliance.

    European iGaming provider

    Problem
    High-traffic releases touched payments, accounts and regulatory flows across platforms — every regression was costly.
    What we built
    • Functional and compliance QA
    • Cross-platform test automation
    • Payment and account flow coverage
    Technology
    Compliance QA · Test automation · Cross-platform testing
    Result
    Reduced release risk across payment, game, account and regulatory flows.
  • Franchise operations

    Stabilising operations software used across a distributed franchise network.

    Global QSR franchise network

    Problem
    Inventory, internal workflows and supply-chain tools had to work identically across many locations.
    What we built
    • Workflow regression automation
    • Operations QA
    • Integration testing across inventory and supply chain
    Technology
    Operations QA · Regression automation · Workflow testing
    Result
    Stabilised critical workflows across the franchise network.
  • Consumer AIMIISCO Labs

    Building an AI matchmaking product end to end.

    Smart Matrimony — our own product

    Problem
    Traditional matrimony platforms rely on manual filters, leading to endless scrolling and choice paralysis — and lack cultural context for Baniya sub-communities.
    What we built
    • AI compatibility scoring with ML vectors
    • React Native apps for iOS and Android
    • React web platform with community filters
    • Real-time chat and verification workflows
    Technology
    React Native · Expo · React · TypeScript · WebSocket · Firebase
    Result
    40% more active user engagement and a 28% better match conversion rate
  • Field service

    Turning a phone-and-paper service operation into one digital workflow.

    Maheshwari Infotech — consumer appliances enterprise

    Problem
    Service teams relied on manual calls and paperwork to coordinate complaint assignments, job verification and billing — causing delays and errors.
    What we built
    • Complaints ERP with technician dispatch
    • React Native app for customers and technicians
    • OTP job sign-off between customer and technician
    • Automated PDF invoicing and email
    Technology
    React · React Native · Expo · TanStack Table · Node.js · MongoDB · Firebase
    Result
    45% faster complaint resolution across 500+ active customers and 1,000+ service complaints
  • Events & live broadcast

    One platform for spiritual events, volunteers and live broadcasts.

    Satsang Seva — web, mobile and admin

    Problem
    Organisations struggled to manage hundreds of volunteers and coordinate live broadcasts, and communities had no single place to discover events.
    What we built
    • Event discovery and QR ticketing web app
    • React Native app with HLS live streaming, chat and Q&A
    • Volunteer shift scheduling
    • Admin console for moderation and analytics
    Technology
    React · React Native · Expo · TypeScript · Node.js · MongoDB · Firebase
    Result
    65% more live virtual attendance and 15+ hours of manual planning saved per event
  • AI coachingMIISCO Labs

    Teaching an AI to coach, not just evaluate.

    ChessGuru — our own product

    Problem
    Chess engines tell players the best move, but not why they keep losing or what to learn next.
    What we built
    • Engine analysis of real games
    • AI coaching layer
    • Player weakness modelling
    • Personalised training plans
    Technology
    Chess engine · AI coaching · Analytics · SaaS
    Result
    Live in production at chessguru.ai

Looking for the full QA automation write-up? Read the case study

MIISCO / Start

Have something ambitious in mind? Let's figure out how to build it.

  1. 01We read your briefAn engineer — not a salesperson — replies within one business day.
  2. 02A focused callWe ask the questions that shape scope, risk and cost.
  3. 03A written planScope, approach, team and estimate you can compare and challenge.

Prefer email? vishal@miiscollp.com
Or call +91 7000285287

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What are we building?
About a minute. No sales scripts.