Technologies
Languages
Most of what we ship is written in TypeScript or Python, because both have large hiring pools in India and mature libraries for business software and AI. We also work in Java, C#, Go, PHP and the mobile languages when your existing systems or team already use them. The language should fit the people who will maintain the code after we hand it over.
4 tools
Everyday languages
TypeScript
Default for web apps, APIs and shared types between front and back end.
JavaScript
Older codebases, browser scripts and quick integrations.
Python
AI pipelines, data work, FastAPI and Django services.
SQL
Reports, migrations and the queries that most business logic ends up depending on.
5 tools
Enterprise and systems
Java
Spring Boot services and integration with existing enterprise systems.
C#
.NET applications, Windows tools and Microsoft heavy environments.
Go
Small, fast services, CLIs and high throughput workers.
Rust
Performance critical parts where memory safety matters.
PHP
Laravel apps and WordPress or WooCommerce extensions.
3 tools
Mobile languages
Kotlin
Native Android apps and Android modules inside cross platform apps.
Swift
Native iOS features such as widgets, payments and device APIs.
Dart
Flutter apps that need one codebase for Android and iOS.
What we build with it
Typical work in this stack
- Business applications
- ERP modules, portals and internal tools in TypeScript, with typed APIs so the front and back end stay in step.
- AI and data services
- Python services for document extraction, model calls, scoring and scheduled data jobs.
- Integration services
- Java or C# adapters that sit next to SAP, Oracle or Dynamics and move data in and out safely.
- Performance hot spots
- Go or Rust workers for the one part of a system that has to process large volumes quickly.
- Legacy upgrades
- Moving old PHP or JavaScript code to typed, tested code in small steps, without a risky big rewrite.
How we choose
We start with who will own the code. If your team writes Java, we write Java, even if we might have picked something else on a blank page. For new projects with no constraint we usually choose TypeScript for the product and Python for AI and data work, because developers for both are easy to find in India and the libraries are mature. We reach for Go or Rust only when a measured bottleneck justifies it. Every language choice comes with a short note in the repository explaining why, so the next person does not have to guess.
Questions
Good to know
Other parts of the stack
Can you work in the language our team already uses?
Yes. Matching your team's language is usually the right call, because they will maintain the code long after the first release.
Why TypeScript?
Types catch a large class of mistakes before the code runs and make handover easier. For small scripts plain JavaScript is fine.
Do you rewrite old code in a new language?
Only when there is a clear reason, such as security risk or no one able to maintain it. We prefer to replace it piece by piece.
Start a conversation
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