AI cloud strategy
Architecture and delivery plans for AI workloads on AWS, Azure, and GCP — including integration, scale, and cost control.
Greater Toronto Area · AWS · Azure · GCP
AiCloudConsult helps Canadian and US teams design, implement, and run cloud systems. Architecture, reliability, security, and delivery — on AWS, Azure, and GCP.
Consulting for teams that need production systems: architecture, delivery, security, operations, and cost control.
Architecture and delivery plans for AI workloads on AWS, Azure, and GCP — including integration, scale, and cost control.
CI/CD, infrastructure as code, monitoring, and automation so teams can ship reliably.
AI-assisted workflows on your existing stack — with guardrails, logging, and runbooks your team can operate.
Find and fix AWS, Azure, and GCP spend waste — consulting first; AiFinOps by AiCloudConsult when visibility is enough.
We are a DevOps and cloud consulting practice. Day to day that means architecture, delivery, security, and cost control on AWS, Azure, and GCP — including systems that use Google GECX products. We designed and delivered the production website for Sweekar Cloud Technologies, and we are building AiFinOps inside AiCloudConsult so teams can see and control multi-cloud spend without treating FinOps as a separate firm.
Vendor-neutral delivery on the three major public clouds.
Software from the consulting practice — nested under AiCloudConsult, not a second firm. Start with AiFinOps when you need multi-cloud spend visibility and alerts; Book a consult when the problem still needs architecture or delivery work.