Technologies
The stack we build on.
A pragmatic, battle-tested toolkit — chosen per project, not for fashion. We pick tools that solve your problem, scale with your growth, and don't trap you in a vendor.
Right tool, right job
We don't have a hammer looking for nails. Stack decisions are project-specific — and we write the rationale down.
You own everything
No proprietary frameworks, no lock-in. Every dependency we choose is open-source or industry-standard.
Hire after us
We use mainstream stacks so your next senior hire can read the codebase on day one.
Frontend
Frontend
We build on React for most web products. Framework choice depends on SEO requirements, team context, and whether you need a native mobile app.
React
Our primary UI library for web applications
Next.js
For server-side rendering and content-heavy products
Vue.js
Used when client teams prefer Vue ecosystems
React Native
Cross-platform mobile with shared web logic
Flutter
For mobile-first, performance-critical apps
Backend
Backend
Node.js / NestJS is our default — structured, scalable, and easy to hire for. Python comes in when data pipelines or ML are involved. Go when raw throughput matters.
Node.js / NestJS
Our default for most API-driven products
Python / FastAPI
Preferred when ML or data pipelines are involved
Go
For high-throughput, performance-sensitive services
Databases
Databases
PostgreSQL handles 90% of what we build. We default to relational, and only move to document stores or caches when the use-case genuinely needs them.
PostgreSQL
Our default relational store — reliable and scalable
MongoDB
When document flexibility is genuinely needed
Redis
Caching, queues, and real-time features
Firebase
Real-time sync and rapid prototyping contexts
Cloud & DevOps
Cloud & DevOps
AWS is our preferred cloud. Docker on everything, GitHub Actions from day one. You get CI/CD pipelines before the first commit hits staging.
AWS
Preferred cloud — EC2, RDS, S3, Lambda, SQS
GCP
Used for ML workloads and BigQuery analytics
Docker
Containerisation for all production deployments
GitHub Actions
CI/CD pipelines on every project from day one
AI & ML
AI & Machine Learning
We've integrated AI features across 15+ products — from GPT-4o document processing to fine-tuned classification models. We build features that solve real problems, not demos.
OpenAI API
GPT-4o and embedding models for product features
Anthropic
Claude for long-context and reasoning-heavy tasks
LangChain
Orchestration for multi-step AI workflows
Hugging Face
Open-source models for classification and NLP
Design
Design & Documentation
All design work lives in Figma — accessible to you from day one, with tokens and variant documentation your developers can read. Storybook for component libraries.
Figma
All UI design, prototyping, and design system work
Storybook
Component documentation and visual testing
Have a preferred stack or a constraint we need to work around? Tell us in the brief →
How we choose
Stack selection is a conversation, not a template.
Every project brief gets a tech stack recommendation with written rationale — covering performance, team familiarity, hiring implications, and cost at scale. You see the reasoning, not just the conclusion.
What problem are we actually solving?
What does the client's team already know?
What's the growth trajectory in 18 months?
What's the hiring market for this stack?
Are there compliance constraints (HIPAA, PCI)?
What's the total cost at production scale?
Want to talk about the right stack for your project?
Book a free 30-minute call. We'll give you an honest take on what we'd recommend and why — no obligation.