DynaCloud was founded by infrastructure veterans and machine-learning engineers with a shared conviction: the future of enterprise AI belongs to organizations that own their stack.
Work With Us Our StoryFor too long, cutting-edge AI infrastructure has been the exclusive domain of hyperscalers and well-funded startups. DynaCloud exists to change that — bringing the same level of private, sovereign AI capability to healthcare providers, financial institutions, government agencies, and mid-market enterprises that previously had no practical path to owning their AI stack.
We combine deep cloud and data-center expertise with applied AI engineering to deliver solutions that actually ship — not PowerPoint strategies that gather dust.
Most infrastructure companies don't know AI. Most AI companies don't know infrastructure. DynaCloud sits at the intersection — and that changes what we're able to deliver.
Our team has built and operated data centers, designed enterprise network fabrics, and managed petabyte-scale storage systems. We understand the physics of the problem — not just the software layer.
We've deployed and fine-tuned LLMs in production across regulated industries. Our AI engineers understand tokenization, quantization, VRAM constraints, and inference optimization — not just how to call an API.
We'll tell you when you don't need what you're asking for. Our business grows on long-term relationships with customers whose AI investments actually deliver value — not on one-time hardware sales.
We're practitioners, not consultants. We've seen too many AI strategies that never made it to production. Every engagement we run is designed to put working systems in your hands.
Private AI matters most in industries where data sensitivity, regulatory requirements, or competitive advantage make public cloud AI untenable. These are the sectors we know best.
Clinical AI, medical imaging, genomics pipelines, and EHR intelligence — all within HIPAA-compliant private infrastructure. Patient data never touches a public model.
Trading signal research, document intelligence, fraud detection, and compliance automation — deployed in environments that satisfy OSFi, SEC, and FCA data governance requirements.
Sovereign AI infrastructure for agencies that require on-premises deployment, Canadian data residency, and protection from foreign intelligence collection.
Contract analysis, due diligence, and document review AI — keeping privileged client information out of third-party model training pipelines.
High-performance compute for large-scale model training, scientific simulation, and research workloads — with academic pricing and flexible scheduling.
Edge and on-premises AI for quality control, predictive maintenance, and supply chain optimization — without sending operational data to the public cloud.
We show our work. Clients see our reasoning, our trade-offs, and our mistakes — not just polished deliverables. When something isn't working, we say so.
We move fast. In a field evolving as quickly as AI, speed of iteration is a core competency — not a nice-to-have.
We take security, privacy, and the societal implications of AI seriously. Every system we build includes appropriate safeguards and access controls by default.
We care about doing the work well — not just doing it. Clean architecture, thorough documentation, and maintainable systems are non-negotiable, not optional extras.
Headquartered in Vancouver, British Columbia, DynaCloud operates at the heart of Canada's growing AI ecosystem. Our data center facility is located in Metro Vancouver, providing Canadian data residency, access to clean hydroelectric power, and proximity to major cloud on-ramps and Internet exchanges.
BC Hydro provides some of the cleanest and most affordable electricity in North America — allowing us to power GPU-intensive AI workloads with a significantly lower carbon footprint than US-based data centers.
All data processed and stored by DynaCloud remains on Canadian soil, subject exclusively to Canadian law. Critical for organizations navigating PIPEDA and provincial privacy legislation.
Direct access to Seattle's internet exchanges, VANIX peering, and trans-Pacific connectivity — making Vancouver a natural hub for AI infrastructure serving North America and the Asia-Pacific region.
Partners with UBC, SFU, and Vancouver's growing AI research community. Active participant in the Vector Institute network and Canadian AI policy discussions.
Whether you're starting an AI strategy from scratch or scaling an existing deployment — we'd love to learn about your organization and where we might help.
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