Cloud, Data and AI systems.

Toronto⁷⁹ is being built as a cloud, data and AI engineering practice for North American organizations, focused on the infrastructure and operating systems required to move modern workloads into production.

Explore the focus

A / Focus

The systems beneath the workload.

Four connected areas shape the practice.

Cloud foundations

Structure, identity, networks, policy, and delivery infrastructure.

Data platforms

Reliable movement, governance, observability, and analytics systems.

AI systems

The infrastructure, evaluation, and controls behind production AI.

Platform Engineering

Developer platforms, automation, reliability, and operational clarity.

B / Operating standard

Production changes the question.

Useful systems are the ones a team can secure, operate, measure, and own.

Secure by construction

Security belongs in the architecture, not at the edge of it.

Observable in operation

Health, quality, cost, and failure need visible signals.

Cost is a system property

Technical decisions should expose their economic consequences.

Handoff is part of the build

Documentation and operating knowledge are part of the system.