Expertise

A small, well-known technical foundation.

The technologies we retain are proven, maintained and documented.
The set is deliberately short, because each of these building blocks is used in production on our own platforms.

PHP Python TypeScript Docker Kubernetes PyTorch +14 more

Back end

The languages and frameworks of the application core.

PHP Laravel Python Node.js REST APIs Job queues

Front end

Fast, accessible interfaces with few dependencies.

TypeScript React Vue.js Tailwind CSS Native HTML / CSS Accessibility

Data

Data modelling, migrations and encrypted backups.

MySQL / MariaDB PostgreSQL Redis Data modelling Migrations Encrypted backups

Artificial intelligence

Models integrated into business processes, with evaluation and guardrails.

PyTorch Hugging Face Language models (LLM) Semantic search Tool-using agents Evaluation and guardrails

Infrastructure and SecOps

Deployment, monitoring and disaster recovery.

Linux Docker Kubernetes NGINX Cloudflare CI / CD Monitoring and alerting Recovery plans

Security and compliance

Frameworks applied to the code, the infrastructure and the processes.

Law 25 (Québec) GDPR Data governance Hardening Access management Code reviews Automated testing Logging and traceability
Technical doctrine

Why so few tools?

An added dependency is a maintenance commitment taken on for years. A short, well-known foundation beats a broad catalogue that nobody truly masters. When a technology outside this foundation is the right choice for a project, we say so, then we either own it for the long run or point you to a team that practises it better than we do.

This discipline comes from our position as an operator. We run our own platforms, and the consequences of technical choices show up there in production, in reliability and in the cost of upkeep.

Does your project fall outside this scope?

Describe it to us: if we are not the right fit, we will tell you in the first exchange.

Contact us