Back-end development

Nobody sees it and everything depends on it. This is where correctness matters more than cleverness.

Back-end development

Typical work

  • APIs. Documented endpoints your app, your partners or your own future projects can call.
  • Accounts and permissions. Sign-in, password resets, roles, and rules about who may see or change what.
  • Integrations. Payment providers, email and SMS, government portals, accounting software, Google Workspace.
  • Scheduled jobs. Nightly imports, monthly invoices, reminder emails — plus alerts when one of them fails.
  • Deployment. Hosting set up, staging separated from live, backups running, logs you can actually read.

Your rules, not somebody else’s workflow

Your pricing, approvals, roles and exceptions encoded as they actually are — including the awkward cases every real business has. The alternative is changing how you work to suit software, which is a cost that never appears on the invoice.

What you get

You get

Source code, API documentation, environment setup notes, and monitoring on the jobs that matter.

Usual tools

Python (Django, FastAPI, Flask), Node.js, PHP, Docker, Linux hosting.

Good fit when

Two systems need to talk to each other, or a person is currently the integration.

Typical timeline

Two to eight weeks depending on how many systems are involved.

Not sure this is the right one?

Describe the problem instead of the solution. A short call is usually enough to tell whether it is this, something else, or nothing you should spend money on.

Book a free call

Work of this kind

Client names withheld on request — the problems and the shape of the solutions are real.

All case studies
Every new document, on the right desk by morning

Accounting · Automation

Every new document, on the right desk by morning

A program that checks a government tax portal for hundreds of clients every day, files what is new in a database, notifies the employee who handles that client, and sends the manager one report each morning.

Python in seconde, taught by teachers who are not programmers

Education · Platform & back end

Python in seconde, taught by teachers who are not programmers

Crescendo Academy: students write and run Python in the browser, the teacher follows a guided path rather than improvising code, and the school can see every change — including one made to an exam question after submissions came in.

Research data that behaves like a record, not a folder

Research · Data & analysis

Research data that behaves like a record, not a folder

Our own build, and the one you can click: samples followed from intake to figure, runs tracked by instrument and reagent lot, and the analysis itself on screen — an expression heatmap and a genome-wide association view.

Tell us what’s slowing you down.
WhatsApp +1 514 889 1557

Monday–Friday, 9:00–18:00 (Montreal time)

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