Backend development, built for the job in front of it.
We don't have a house language we reach for out of habit. Python, FastAPI, .NET and Node.js each earn their place for a different reason — and we pick whichever one actually fits your data, your team, and what the system needs to do once it's live.
The languages and frameworks behind our backend work.
Python
Our default for data pipelines, AI/ML and anywhere a Python-first team keeps the whole stack simpler.
Learn more 02FastAPI
The typed, async API layer we put in front of a Python data or AI system — fast, and documents itself.
Learn more 03.NET
For enterprise backends, Azure-native systems, and codebases a client's own team will own for years.
Learn more 04Node.js
One language front to back when the frontend's already React or Next.js, and for real-time, I/O-heavy services.
Learn moreSame senior team, whichever stack fits.
Backend development isn't one thing, and treating it like one is how projects end up on a stack that doesn't fit the problem. The right choice depends on your data, your existing infrastructure, and who'll be maintaining the system after we've shipped it.
What doesn't change is who's building it. Every one of these four languages is used in-house by the same senior engineering team — no junior bench, no outsourced specialists brought in for one framework and gone by the next project.
The right tool, not the familiar one
We pick per project, not per habit — a data-heavy product gets Python, an Azure-native enterprise system gets .NET, and so on.
Senior engineers, not specialists in one thing
The same engineers who scope your project can work across this stack, which means less time spent finding the "right" person and more time building.
Production-grade from day one
Typing, tests, and proper structure aren't an afterthought bolted on before launch — they're how we build from the first commit.
AI-accelerated, senior-led
AI-assisted tooling compresses the mechanical parts of a build. The judgement about what to build, and how, still comes from people who've shipped it before.
Not sure which stack fits? Ask the engineer who'd build it.
Book a 30-minute working session with a senior engineer — a real conversation about your project, not a sales call.
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Read moreThe stack we ship on.
Pragmatic, mostly boring, and chosen because it works in production — not because it's on the front page of Hacker News.
Have an outcome in mind?
We'll help you
ship it.
- You're building a data product and need a team that can deliver.
- You want to get AI-ready — pragmatically, not theoretically.
- Your reporting is a mess and you need a real platform underneath it.