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sales@winapps.co.in+91 70157 96830

Software engineering partner since 2013

Senior engineers for software that has to work.

We design, build and scale AI systems, web and mobile products and cloud platforms for companies in India, the US, the UK and Europe.

Book a 30-min intro call See our work

Since 2013, senior engineers for companies in India, the US, the UK and Europe. Six practices, one standard, and every commitment in writing.

  • Est. 2013
  • NDA before the first call
  • Reply within 1 business day
  • Your IP from day one

What we do

Six practices. One standard of engineering.

We stay narrow on purpose. Each practice is run by people who have shipped it in production, more than once.

All services

  1. AI

    AI & machine learning built for production, not the pilot.

    LLM applications, retrieval and agent systems, predictive models and computer vision, built with evaluation, monitoring and cost controls from the start.

    Case study:AI visual quality inspection on the production line

    Explore AI & machine learning service Discuss a project in AI & machine learning

    What you get

    A production AI system with evaluation, monitoring and cost controls built in, not a demo that stalls after the pilot.

    • A use-case assessment with agreed success criteria, before any build starts
    • A production LLM, retrieval (RAG) or agent system connected to your data and tools
    • An evaluation suite that measures quality before and after every change
    • Monitoring for quality, latency and spend, with cost controls
    • Python
    • PyTorch
    • LangGraph
    • PostgreSQL
    • AWS
    • Azure

  2. Product

    Product engineering shipped every two weeks.

    Web platforms and native or cross-platform mobile apps, from first release to scale. Product thinking included, not bolted on.

    Case study:Member app for a multi-site fitness chain

    Explore Product engineering service Discuss a project in Product engineering

    What you get

    A web or mobile product your users rely on, shipped as working software every two weeks.

    • A product and technical plan agreed in Discovery
    • Web platforms built with React and Next.js
    • Native iOS and Android apps, or cross-platform apps in Flutter
    • APIs and back-end services in Node.js or Python
    • TypeScript
    • React
    • Next.js
    • Node.js
    • Python
    • Swift

  3. Cloud

    Cloud & platform that your team can run.

    Cloud architecture, infrastructure as code, CI/CD and observability on AWS, Azure and GCP. Systems your own team can run after we hand over.

    Case study:Legacy pharma SaaS re-platformed to cloud-native

    Explore Cloud & platform service Discuss a project in Cloud & platform

    What you get

    Cloud infrastructure defined as code, observable end to end, and simple enough for your own team to run.

    • An architecture review and a target design for your workloads
    • Infrastructure as code with Terraform
    • CI/CD pipelines from commit to production
    • Container platforms on Kubernetes where they earn their place
    • AWS
    • Azure
    • GCP
    • Kubernetes
    • Terraform
    • Go

  4. Modernize

    Legacy modernization without the big-bang rewrite.

    Incremental migration of aging monoliths and on-prem systems. Strangler patterns, no big-bang rewrites, and the business keeps running throughout.

    Case study:Legacy pharma SaaS re-platformed to cloud-native

    Explore Legacy modernization service Discuss a project in Legacy modernization

    What you get

    A modern, cloud-ready system, migrated piece by piece while the business keeps running.

    • An assessment of the current system and a migration roadmap ordered by business risk
    • A strangler-pattern plan, so old and new run side by side during migration
    • Re-platformed services, split into microservices only where it helps
    • Data migration with verification at every step
    • Kubernetes
    • PostgreSQL
    • Kafka
    • Go
    • Node.js
    • AWS

  5. Data

    Data & analytics that your teams trust.

    Pipelines, warehouses and dashboards that your teams trust, the foundation every serious AI initiative needs first.

    Case study:Fleet management and route optimisation

    Explore Data & analytics service Discuss a project in Data & analytics

    What you get

    Data pipelines and dashboards your teams trust, ready to power reporting and AI.

    • An audit of your data sources and how they are used today
    • ETL and ELT pipelines with automated checks
    • Warehouse models in Snowflake or BigQuery
    • BI dashboards built around the decisions people actually make
    • Python
    • Snowflake
    • BigQuery
    • PostgreSQL
    • Kafka

  6. Teams

    Dedicated teams inside your tools and rituals.

    A pod of senior engineers, a lead and QA that plugs into your tools, rituals and roadmap. Scales up or down with 30 days' notice.

    Explore Dedicated teams service Discuss a project in Dedicated teams

    What you get

    A senior team working inside your tools and rituals, which you approve person by person and can scale with 30 days' notice.

    • A pod of 3–8 engineers with a tech lead and QA
    • Profiles for every proposed engineer, and your own technical interviews
    • A team that works in your tools, rituals and time zone overlap
    • A monthly report on delivery and spend
    • Python
    • TypeScript
    • React
    • Node.js
    • Go
    • Swift

What do you want to build?

What does it involve? (optional)

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Training

Learn the skills teams hire for.

10 programmes for working professionals and college students, and 16 short courses, in software development, data analytics, AI and data science.

See all training

Case studies

Problems we've been trusted with.

Our clients are under NDA, so we describe the work without naming them. We share specifics and references on a call.

All case studies
  • Gym floor with blue strength-training machines

    Fitness · United Kingdom

    Member app for a multi-site fitness chain

    Problem
    The chain's members used a white-label app that the business didn't own.
    What we delivered
    Native iOS and Android member app with class booking, wearable sync and personalised training plans.
    • Swift
    • Kotlin
    • Node.js
    • AWS
  • Sealed medicine vials in a laboratory rack

    Pharma · Global

    Legacy pharma SaaS re-platformed to cloud-native

    Problem
    A monolithic legacy field-sales SaaS platform needed to move to cloud-native.
    What we delivered
    Incremental migration to containerised services, with mobile-first tools for reps and GDPR-compliant data handling.
    • Microservices
    • Kubernetes
    • PostgreSQL
  • Close-up of machined metal engine components and gears

    Manufacturing · India

    AI visual quality inspection on the production line

    Problem
    Castings and machined parts needed consistent, traceable visual quality inspection on the line.
    What we delivered
    Deep-learning inspection where every decision is linked to its images, model version and confidence score.
    • PyTorch
    • Edge inference
    • MLOps
  • Truck on an open highway

    Logistics

    Fleet management and route optimisation

    Problem
    Dispatch, drivers and customers needed one real-time view of a delivery fleet.
    What we delivered
    Real-time tracking, geofencing and ETA prediction, unifying dispatch, drivers and customers on one platform.
    • React
    • Go
    • Kafka
    • ML

How we work

Low-risk to start. Predictable to scale.

Most clients start with a fixed-fee Discovery, then move to a dedicated pod.

How we work in detail

  1. 1–2 weeks · fixed fee

    Step 1: Discovery

    We map the problem, the risks and the architecture, and give you a plan and estimate you can take to any vendor.

  2. 2-week sprints

    Step 2: Build

    Working software every sprint, demoed live in your time zone. Shared backlog, your tools, transparent burn against budget.

  3. Ongoing

    Step 3: Launch & scale

    Production rollout, monitoring and SLAs. Then we keep evolving the product, or hand over cleanly to your team, with docs.

Why teams trust us

Low risk is designed in, not promised.

The commitments that procurement, legal and engineering teams ask about first, written into how we work.

  • You own the code and IP

    Full IP assignment in every contract. Code lives in your repositories from day one.

  • GDPR-aligned, DPA on request

    We work in your environments, with access you grant and revoke, and keep production personal data off local machines.

  • Security as a baseline

    Least-privilege access, client-managed credentials, encrypted devices and offboarding checklists on every project.

  • You approve every engineer

    See profiles, run your own interviews, and replace anyone who isn't the right fit at no cost.

  • Real time-zone overlap

    Standups, reviews and demos happen live in your working hours. The rest is written down and async.

Working hours, live

4+ hours overlap with Europe

  • New York--:--
  • London--:--
  • Berlin--:--
  • Winapps, India--:--

Bars show each city's working day. Our teams shift their hours to keep 4+ hours of overlap with Central Europe and 3–4 hours with US Eastern.

Engagement models

Pick how we work together.

Clear terms, no lock-in. Every model starts with the same senior engineers and the same commitments.

  • Fixed-scope project

    Best for a well-defined product or MVP

    • Fixed price and timeline after Discovery
    • Milestone-based payments
    • 30-day warranty after launch
    Discuss a project: Fixed-scope project

  • Most chosen

    Dedicated pod

    Best for an evolving roadmap

    • 3–8 engineers, a tech lead and QA
    • Monthly rolling contract, 30 days' notice
    • You approve every team member
    • Monthly report on delivery and spend
    Build a pod: Dedicated pod

    Reply within 1 business day

  • Team extension

    Best for filling specific skills fast

    • Individual senior engineers
    • Work inside your team and processes
    • Start in as little as 2 weeks
    Extend your team: Team extension

Technology

Tools we use in production.

Languages, frameworks and platforms our engineers work with in production.

Languages
  • Python
  • TypeScript
  • Go
  • Swift
  • Kotlin
Web & mobile
  • React
  • Next.js
  • Node.js
  • Flutter
AI & data
  • PyTorch
  • LangGraph
  • PostgreSQL
  • Kafka
Cloud & platform
  • AWS
  • Azure
  • GCP
  • Kubernetes
  • Terraform

Insights

Latest guides and news.

All insights

Questions

What buyers usually ask.

Something else? sales@winapps.co.in

Who owns the code and IP?

You do. Our contracts assign all intellectual property to you, and code is committed to repositories you control from the first day of the engagement.

How do you handle GDPR and data protection?

We sign a Data Processing Agreement on request, work in your environments with access you grant and revoke, and avoid copying production personal data to local machines. We're happy to complete your vendor security questionnaire.

How does the time difference work in practice?

Teams shift their day to keep at least 4 hours of overlap with Central European time and 3–4 hours with US Eastern. Standups, reviews and demos happen live; the rest is async, so work often moves forward while you sleep.

Can we interview the engineers?

Yes, and we encourage it. You see profiles, run your own technical interview and approve every person before they join. If someone isn't the right fit, we replace them at no cost.

How do contracts and payments work?

We invoice monthly in USD, EUR or GBP. We can work under your MSA or ours. Discovery is fixed-fee; projects are milestone-based; pods are monthly with 30 days' notice.

How quickly can you start?

An intro call can usually happen within the week. Discovery typically starts within 1–2 weeks, and a full pod within 2–4 weeks of signing.

Tell us what you're building.

A senior engineer, not a salesperson, replies within one business day. NDA available before any detailed discussion.

Book a 30-min intro call Email us

Or message us on WhatsApp, or call +91 70157 96830.