AI consulting & software engineering · Canada
Nextia Intelligence is a senior AI engineering practice. We help companies find the AI opportunities that survive contact with reality, and ship them as production web and mobile software. We also build and operate our own AI products — so the claims on this page are ones you can go and use.
Thirty minutes, no deck, no pitch. If it is not a fit, we will say so and point you somewhere better.
Proof
The fastest way to judge an engineering practice is to use something it built. Two of these are our own products — you can sign up for them today.
NextiaTax — our own product
A bookkeeping platform for Canadian small business, with AI extraction, a grounded assistant and native mobile apps. Built, shipped and operated by us.
NextiaDriveOps — our own product
A bilingual, multi-tenant operations platform for Canadian driving schools: constraint-based scheduling, learner records, automated messaging, billing and certificates.
Easy Driving School
A bilingual booking platform and public website for a three-centre driving school: capacity-aware scheduling, Google Calendar integration for instructors, and revenue analytics for the owners.
Great Lakes IT Inc.
We are the AI and engineering capability behind a Canadian managed service provider — building the solutions they take to their own clients, and the platform they present them on.
Two of these are products we own and operate; two are client engagements, published with their agreement. Each write-up covers the constraint that made the problem hard and the trade-offs we made — that is the part worth reading.
Services
Most engagements start with an assessment and continue into a build. Some do not need to — we will tell you which one you are in.
Find out where AI actually pays off, before you spend a quarter finding out the expensive way. We audit your workflows, data and systems, then come back with a ranked shortlist of opportunities, honest feasibility calls and a costed roadmap.
Fixed-fee assessment · 2–4 weeks
Products with AI at the core — not a chatbot bolted onto a form. We design and build the whole thing: interface, model layer, retrieval, evaluation, and the infrastructure to run it in production.
Project or monthly retainer
AI is only as good as the system it lives in. We build the platforms, APIs, integrations and data pipelines underneath — and modernise the ones holding you back.
Project or monthly retainer
For teams that want to build AI capability in-house, and for professionals moving into AI. Practical, tailored, and grounded in delivery work rather than course material.
From $350 per session · team pricing on request · EN / FR
Approach
A predictable sequence with a real stopping point at every stage. You are never one large invoice into something you cannot evaluate.
You describe the problem. We tell you honestly whether AI is the right tool, what it would realistically take, and whether we are the right people. Sometimes the answer is that you do not need us.
We go deep on your workflows, data and systems, then deliver a ranked opportunity map, feasibility verdicts, an architecture proposal and a costed roadmap. You own the document and can take it to any builder — including not us.
Two-week increments, each ending in working software you can use. You see progress continuously, and you can stop at any increment without being left holding nothing.
Deployment, monitoring, evaluation harnesses and documentation your team can actually maintain. We hand over knowledge, not dependency.
If the assessment concludes AI is not worth it for your case, that is a successful assessment. We would rather you knew in three weeks than three quarters.
Capability
The list is shorter than most agencies advertise, because everything on it is something we have run in production.
We are deliberately conservative about our stack. New tools have to earn their place in something a client will run for three years.
Fit
We would rather lose an unsuitable project on the first call than three months in. This list does that work for both of us.
The practice
Nextia Intelligence is a senior engineering team, not an agency. The people who scope your project are the people who architect it and write the parts that matter. There is no account manager between you and the work, and nothing is handed to a junior team after the sale.
Technical direction comes from a computer science PhD with more than fifteen years building and leading production AI across finance, industrial and research domains — and from the fact that we run our own software products, which means we live with the maintenance consequences of our own decisions.
In practice that means you get technical judgment on a thirty-minute call rather than a five-person meeting, and an answer about feasibility from someone who has had to make the thing work.
FAQ
A free 30-minute intro call, then usually a fixed-fee assessment of two to four weeks, then a build in two-week increments if a build makes sense. Some engagements stop at the assessment, which is a legitimate outcome rather than a failed sale.
Consulting and build work is scoped to the complexity of the problem, so we quote per engagement rather than publish a rate card that would be wrong for most of them. You get a real number on the first call, not after three meetings: assessments are fixed fee, builds are quoted per phase, retainers run monthly. The individual sessions are fixed and published — a personalised AI transition roadmap is $450 CAD, and AI interview readiness is $350 CAD.
Something running, usually within the first two-week increment. Something genuinely useful to real users, typically six to twelve weeks depending on scope.
You do, on final payment for each phase. Code lives in your repositories from the first commit and infrastructure runs in your cloud accounts. There is no proprietary Nextia layer you have to keep licensing.
That is the most common case. You do not need a data team or an ML platform to start — you need a real operational problem and somebody willing to tell you the truth about it.
No, and we design against it. Handover means documented architecture, infrastructure as code, working CI/CD and a session with your team. Some clients keep us on retainer because they want to; none of them have to.
Canadian regions by default, with PIPEDA and Québec Law 25 in mind. We document in writing which model providers see which data, and we design so that can be changed later.
Yes. It is a smaller part of the practice now, but it continues — team workshops and leadership sessions for companies, and personalised AI transition roadmaps and interview preparation for individuals. Over 2,000 professionals have been mentored through this practice.
Start here
Thirty minutes, no deck, no pitch. You describe the problem; we tell you honestly whether AI is the right tool, roughly what it would take, and whether we are the right people. If we are not, we will say so.
We reply within one business day. English or French.