Company · Technology

A stack chosen for a five-year life, not this year's fashion

Modern, supported, boring where it should be boring. Every technology here is running in production for a client who depends on it today.

5 yrs
minimum stack life
99.95%
average uptime
0
abandoned frameworks
AWS & AzureCloud-nativeCI/CD by defaultObservability from day one

1. What you need

2. Scope & timeline

3. Where to send it

What do you want built or fixed?

Takes 40 seconds · Reply within one business hour

Trusted by operators across eight industries

Tata logo
Reliance logo
Infosys logo
Mahindra logo
Airtel logo
HDFC Bank logo
Zomato logo
Asian Paints logo
Microsoft logo
Amazon logo
Siemens logo
Unilever logo
Emirates logo
Autodesk logo
Kia logo
Shopify logo
Tata logo
Reliance logo
Infosys logo
Mahindra logo
Airtel logo
HDFC Bank logo
Zomato logo
Asian Paints logo
Microsoft logo
Amazon logo
Siemens logo
Unilever logo
Emirates logo
Autodesk logo
Kia logo
Shopify logo

The short version

We pick technology you can still hire for in 2031

Every stack decision is a maintenance commitment you inherit. So we choose technologies with large talent pools, long support horizons and a boring track record in production.

That means React and TypeScript on the front, Node and Python on the back, Postgres unless there is a real reason otherwise, and managed cloud services instead of clever infrastructure nobody wants to own.

Where AI belongs, it is a component with evaluation, guardrails and fallbacks — not the architecture.

How we operate

Six commitments that shape every engagement

Talk to us

Frontend engineering

React, TypeScript, Next-generation SSR frameworks and design systems built for accessibility and speed.

Backend & data

Node, Python, .NET where it fits, Postgres and Redis, event-driven services and well-documented APIs.

Cloud & DevOps

AWS and Azure, infrastructure as code, CI/CD pipelines, blue-green deploys and cost governance.

Applied AI

LLM agents, RAG pipelines, document intelligence and voice — with evaluation harnesses and human fallbacks.

Mobile

React Native and native where required, offline-first architecture and store release management.

Observability

Logging, tracing, uptime and business dashboards in place before launch, not after the first incident.

Proof, not adjectives

Numbers we are happy to be measured on

99.95%

average production uptime

Across managed client systems

< 15 min

deploy to production

Automated pipelines, staged rollout

-34%

average cloud spend

After our cost governance review

Stack by layer

What we actually run in production

Not a logo wall. These are the tools in live client systems right now.

Web & mobile

Experience layer

Interfaces that stay fast on mid-range Android and hospital desktops alike.

ReactTypeScriptTailwindReact Native
Enquire

Services & APIs

Application layer

Domain services with clear contracts, background jobs and integration adapters.

NodePython.NETREST & GraphQL
Enquire

Storage & analytics

Data layer

Transactional integrity first, then warehousing and dashboards on top.

PostgreSQLRedisSnowflakePower BI
Enquire

Agents & intelligence

AI layer

Retrieval, agents, extraction and voice with evaluation and guardrails.

LLM gatewaysVector DBWhisperEval harness
Enquire

Cloud & DevOps

Platform layer

Repeatable environments, automated pipelines and controlled releases.

AWSAzureTerraformGitHub Actions
Enquire

Your existing systems

Integration layer

The systems you already run, connected properly rather than replaced.

SAPTallyRazorpayWhatsApp Cloud API
Enquire
Our cloud bill dropped by a third and nothing got slower. That review paid for itself in a quarter.
Saif Ahmed · CTO, Halcyon Finance

Straight answers

What buyers ask about technology

Get an architecture review

Send us what you run today. You will get a written view on risks, cost and the sequence to modernise it.