Cloud-Native Backend & MLOps in Canada
High-performance backends and the MLOps to deploy, monitor, and retrain models in production — for SaaS, AI products, and real-time data platforms. Delivered to Canada teams on your calendar.
High-performance backends and the MLOps to deploy, monitor, and retrain models in production — for SaaS, AI products, and real-time data platforms. Canadian businesses need software that respects privacy regulation and, often, bilingual requirements. We build to those constraints and ship against a committed window.
Canadian buyers sit under PIPEDA federally and a stricter provincial regime in Quebec (Law 25), plus language-of-commerce expectations for consumer-facing software sold there. Most vendors either ignore the provincial layer entirely or treat French as a translation pass at the end, instead of a build decision made at the start. That is the environment cloud-native backend & mlops has to be built into, not around.
- 01Architect services and the ML lifecycle around real load and SLAs.
- 02Prototype deployment and monitoring before scaling.
- 03Forge microservices, pipelines, and IaC.
- 04Harden with A/B deployment, drift monitoring, and retraining.
- Microservices (Go, Rust, Node.js, .NET)
- Serverless & container orchestration (K8s, Nomad)
- CI/CD (GitHub Actions, GitLab CI, ArgoCD)
- MLOps: deployment, A/B, monitoring, drift
- Data engineering (feature stores, ETL)
- Infrastructure as Code (Terraform, Pulumi)
- Real-time event streaming
- Event-driven architecture
- PIPEDA and Quebec Law 25-aware data architecture
- EN/FR built into the interface layer, not translated after ship
- Canada-resident hosting where a client or sector requires it
- Interac-compatible payment integration
- Provincial health-data handling patterns, scoped per province
What you can expect
Questions, answered straight
Yes. Aligned to ET / PT working hours. Custom software and AI systems for Canadian operators — privacy-aware, bilingual-ready, and delivered on schedule.