Build with Python.
The first language we reach for when the work is data, ML, or scripts.
Most teams asking about Python have already decided it's the right tool — they're trying to figure out who can actually ship it. We build with Python every week, on real production systems, and we treat it as part of a stack, not a religion. The first language we reach for when the work is data, ML, or scripts.
That means we won't talk you into Python for a project that doesn't need it. If the work is better served by Node.js, we'll say so in the scoping call and quote that instead. The goal is software that earns its keep — the stack is downstream of that.
When Python IS the right call, we pair it with the rest of a modern, boring, productive stack: FastAPI, Polars, PyTorch, Postgres. Fixed scope. Working software every Friday. Live in 8–14 weeks. You own the code and the roadmap from day one.
- Fixed scope and fixed price after week 1
- Working demo every Friday
- Live in 8–14 weeks
- You own code, data, and infrastructure
- 60 days of post-launch support included
- Best-in-class libraries for data, scraping, ML, and scientific work — Pandas, Polars, scikit-learn, PyTorch.
- FastAPI gives us typed, async HTTP services with auto-generated OpenAPI docs.
- First-class SDKs for every major AI provider — often days ahead of the JS equivalents.
- Readable enough that your team can extend the scripts after we hand them over.
- AI / ML pipelines and model serving
- ETL, scraping, and data cleanup jobs
- Internal admin scripts your team will edit
What Python pairs with in our builds.
Everything in the build.
- A production Python application built to your spec — not a configured template
- Typed, tested code your team can extend without us
- CI/CD pipeline, staging + production environments, and observability wired in
- Role-based access, auth, and the integrations your product needs on day one
- Mobile-ready UI for the surfaces that need it
- Migration from any existing system or codebase you're replacing
- Full source code, infrastructure config, and admin handoff
- 60 days of post-launch support, tuning, and minor enhancements
Python isn't always the right call.
Use Node.js instead
The work is a customer-facing app, not data or ML pipelines.
Use DuckDB + SQL instead
It's analytics on a fixed dataset — skip Python and let SQL do it.
"How do we know you're actually good at Python?"+
Discovery and strategy is always free — we run a fixed-price scoping session that ends with a written scope, wireframes, and a quote whether or not you move forward. If you want references from Python projects specifically, ask in the call and we'll send them.
"What if Python is the wrong choice for our product?"+
Then we'll say so. We're a build shop, not a Python consultancy — picking the wrong tool for a 14-week build is bad for everyone. For the work is a customer-facing app, not data or ml pipelines, we'd suggest Node.js instead.
"Will we get locked into your code patterns?"+
No. We write Python the way the wider community writes Python — boring, conventional, well-documented. Any senior Python engineer should be able to read the codebase in a day and ship a feature in a week.
Python or Node for our backend?+
Node for product surfaces (auth, billing, dashboards). Python for the data plane (ingestion, embeddings, model calls). They coexist nicely behind a typed API.
Which Python version?+
3.12+ on new projects — async, pattern matching, and type generics are now first-class. We pin with uv or Poetry for reproducible installs.
Ready to build with Python?
Discovery is fixed-price and yours to keep either way — written scope, wireframes, and a fixed quote.
Book a Scoping Call