AI Product Development
End-to-end AI products — from first prototype to a system your customers rely on every day.
AI Development Services
An AI development company that ships to production
From LLM integrations to full AI products — designed, built, and operated by a senior-only team headquartered in Ottawa, Canada.
What we build
Four ways teams put us to work — each shipped to production, not left in a notebook.
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.
Shorty
Live productAn AI summarizer for YouTube and Spotify, growing 50% month over month.
Visit ShortyRead the case studyuNotes
Live productA note-sharing platform with 10,000 monthly active users and 100,000+ documents.
Visit uNotesRead the case studyOur own hiring pipeline
In-houseApplications to this very site are parsed and scored by AI we built in-house.
See our careers pageUpup
Open sourceThe open-source file uploader we maintain.
Visit UpupRead the case studyA 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.
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.
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 CanadaFrequently 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.