How we build

Tools we trust,
not just trends

We pick technology based on what's stable, well-supported and right for the job — not what's loudest on social media. Here's what's typically in our toolbox.

Frontend

Fast, accessible interfaces built with modern frameworks and a strong focus on performance.

React Next.js TypeScript Tailwind CSS Vite

Backend & APIs

Reliable, well-documented services that scale with your business and stay easy to maintain.

Node.js Python / FastAPI GraphQL REST tRPC

AI & Machine Learning

The core of our integration work — from LLM orchestration to custom model fine-tuning.

Claude API OpenAI API LangChain RAG pipelines Vector databases PyTorch

Data & Databases

Storage and pipelines designed for accuracy first, speed second — and always documented.

PostgreSQL MongoDB Redis Pinecone BigQuery

Infrastructure & DevOps

Cloud setups that are secure by default, observable, and built to scale without surprises.

AWS Vercel Docker GitHub Actions Terraform

Design & Collaboration

The tools that keep design, engineering and clients aligned from kickoff to launch.

Figma Linear Notion Slack GitHub
How we choose

The principles behind our stack

Tools change every year. These three rules don't — and they're why our projects keep running long after launch.

Boring is good

We default to mature, well-documented technology. The newest framework rarely beats the one your next developer already knows.

Match the tool to the team

The best stack is the one your in-house team can actually maintain after we hand it over — not the one that impresses other engineers.

No vendor lock-in by accident

We're deliberate about dependencies. If a tool ties you to one vendor, that's a conscious decision — never a surprise six months later.

Curious how it fits together

Want to know what stack
fits your project?

Tell us what you're building — we'll recommend an approach that matches your team, budget and timeline.