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AI Development Services

A Canadian AI development company that ships to production

From LLM integrations to full AI products — designed, built, and operated by a senior-only team.

Devino Solutions Inc is an AI development company headquartered in Ottawa, Canada. Senior engineers build LLM integrations, retrieval over your own data, AI agents and custom machine learning for companies across Canada and beyond. See our AI development services, or start with our guide to choosing an AI development company.

What we build

Four ways teams put us to work — each shipped to production, not left in a notebook.

AI Product Development

End-to-end AI products — from first prototype to a system your customers rely on every day.

LLM Integration & RAG

Retrieval pipelines over your own data, model orchestration, and evals — LLM features that answer correctly, not confidently.

AI Agents & Automation

Workflow agents with guardrails: browser automation, document processing, and ops handoffs that stay auditable.

ML Engineering

Custom models where off-the-shelf stops: spaCy, PyTorch, OpenCV, fine-tuned LLMs — trained, deployed, and monitored.

We use what we build

Not slideware — products we've built and operate ourselves.

Our own hiring pipeline

In-house

Applications to this very site are parsed and scored by AI we built in-house.

See our careers page

A Canadian AI development company

Devino Solutions Inc is a Canadian AI development company headquartered in Ottawa, Ontario. We design, build and run AI features and AI products for startups and growing companies in Ottawa, across Canada and beyond.

The team is senior-only and remote-first. Every engineer brings 5+ years of production experience and trains for six months inside Devino before their first client project, so the person who scopes your AI work is the person who builds it.

Who we build for in Canada

We are an AI development agency in Canada and we build AI software for startups and growing companies across the country: an AI feature inside an existing product, a new AI app, or an agent that works over your own data. If you are comparing AI development companies in Canada, our guide to choosing an AI development company lists what to ask and which answers are red flags. If you already know what you need, start with our AI development services or read how we approach custom AI development. We serve clients remotely from Ottawa, including AI development in Toronto and AI development in Montreal. Beyond AI, see how a software project runs in each region, including software development in Quebec City.

How an AI development project runs

It starts with a brief at /start. An engineer reads it and replies within one business day with a scoped plan: what to build first, what data it needs, and how we will know it works.

The first deliverable is a thin slice wired to your real data, not a slide deck or a notebook demo. From there you get a deployed link every week, so you can try the feature with your own cases while it is being built.

You own the code from day one: the prompts, retrieval pipelines, evaluation sets and model code live in your repository, not in a black box only we can run.

Evaluation before launch

Before tuning a single prompt, we collect real examples from your domain and turn them into an evaluation set. Every change to a prompt, model or retrieval step is measured against it, so improvements are visible and regressions are caught before your users see them.

In production, the same discipline continues: guardrails on what the model may do, fallbacks when it is unsure, and a clear handoff to a person when a decision should not be automated.

Your data, handled deliberately

Your data stays in your infrastructure wherever possible. We design integrations so sensitive data is not sent to third-party models unnecessarily, and we document what leaves your systems and why.

For Canadian companies handling personal information, that design work comes first: which model provider, which hosting region and which data are in scope are decided with your privacy obligations in mind, before anything ships.

Data residency and privacy law in Canada

When your data must stay in Canada, we can deploy to Canadian cloud regions, such as AWS Canada Central in Montreal, Microsoft Azure Canada Central in Toronto and Canada East in Quebec City, or Google Cloud in Montreal and Toronto. We can also deploy to servers you already run, and we choose model providers and hosting to match. Where a model provider has no Canadian region, we say so up front and design around it, for example by keeping personal information out of the prompt.

PIPEDA is Canada's federal private-sector privacy law, and Quebec's Law 25 adds provincial rules on top. We are engineers, not your privacy adviser, so we build to the obligations you and your adviser define: a record of who accessed what, an encryption review, and a clear account of where data is stored.

As a Canadian AI development company, we quote in Canadian dollars.

Choosing an AI development company?

We wrote the checklist we would use ourselves: what to ask, which answers are red flags, and how to compare vendors.

How to choose an AI development company in Canada

Frequently asked questions

Have an AI product in mind?

Tell us where you're headed — we'll reply with honest next steps within 1 business day.