Platform engineering for production inference

Our origin on the Eglinton corridor

InferenceAI was founded by platform engineers who spent years watching promising ML models stall between proof-of-concept and production deployment. The gap was never the algorithm — it was inference infrastructure: GPU orchestration that could not scale, LLM serving endpoints that collapsed under token load, and observability stacks blind to model drift until customers noticed first.

We established our studio at 90 Eglinton Avenue East because Toronto's Midtown corridor sits at the intersection of Canadian enterprise headquarters, AI research talent and the infrastructure partners our clients rely on. From this base we serve ML engineers, DevOps leads, CTOs and AI infrastructure teams across the country who need production-grade model serving without the overhead of building platform engineering from scratch.

Our work spans real-time AI inference, generative AI endpoint design, edge AI deployment, computer vision serving pipelines and NLP model infrastructure. Every engagement is grounded in applied artificial intelligence — measurable throughput, latency optimisation and responsible AI governance aligned to PIPEDA and enterprise security expectations.

What we are not

We are not a web design agency, marketing firm or IT outsourcing shop without AI substance. InferenceAI does not sell social media campaigns, brochure websites or general helpdesk support. If your primary need is promotional content or unrelated technology services, we will direct you elsewhere honestly. Our identity is an AI inference platform — model deployment pipelines, scalable endpoints and production ML operations for the Canadian corporate market.

How we deliver

Professional delivery means structured programmes, architecture reviews with documented outcomes, implementation sprints with clear acceptance criteria and integrated support during cutover windows. We measure success by whether your team can operate inference infrastructure independently after engagement — not by billable hours accumulated on open-ended consulting retainers.