Request a callbackBook a call
Product and MVP development

AI Product & MVP Development in Toronto

The best AI Product & MVP Development in Toronto, at the best available price.

$0 upfrontPay per accepted checkpointSenior engineer, no agency markup

A real, production-grade build you can put in front of users or investors. Frontend, backend, mobile, the agentic AI underneath, and the cloud or private infrastructure it runs on, as one engagement rather than four vendors.

Toronto is Canada's largest technology labour market and its financial centre, with the major banks, insurers and a dense startup scene around the University of Toronto and MaRS. Buyers here are often banks, or companies selling to them, so security reviews and data residency questions come early.

Toronto founders often sell to a bank or insurer as their first big customer. The build gets you there with the security controls and documentation a procurement team expects.

What you get

  • Full-stack build on Next.js, Node or Python, with a database and API design that survives past the MVP
  • AI where it earns its place: LLM features, retrieval over your own documents, agent flows that call real tools, voice
  • Auth, payments, analytics and an admin surface, not a demo that breaks on the second user
  • Deployment across AWS, GCP or Azure, or private and on-premise hosting where the data demands it
  • Clean, documented code on your own infrastructure, written to make us replaceable on purpose
Working MVPs from $1,000. Full production builds from $12,000.

Final pricing depends on scope, features and complexity, so we settle it on a call before any work starts.

Invoiced in USD or CAD, payable by Wise or bank transfer.

Request a callback

You speak to the engineer who does the work. No sales rep, no deck.

No spam and no sales team. You talk directly to Neeraj.

Toronto, Ontario

Who builds here

Banks, insurers and fintechMaRS Discovery DistrictVector Institute and University of TorontoEnterprise SaaS
Best fit in Toronto

Software Development Company

Many Toronto companies need senior engineering capacity that can pass a bank-grade vendor review, which is exactly what a dedicated engineer working in your repository provides.

Three founders around a laptop in a sunlit office, celebrating the moment their product went live
Timeline of a production MVP built in six weeks and paid per checkpoint. Today costs $0. Week 1 locks scope and architecture; weeks 2 to 4 build the core product with a demo every week; week 5 adds sign in, billing, admin and analytics; week 6 hardens the product and hands it over, live on your own accounts. Each stage ends in a checkpoint that is accepted, then invoiced.
Four checkpoints, each invoiced only after you accept it. Nothing is due before the first one.
How you pay

Get it built at $0.

That is not a discount. It is when you pay. The work is split into checkpoints with acceptance criteria written down before anything starts, and each checkpoint is invoiced only after you have seen it and accepted it. No deposit.

$0 to start
You hold every dollar until a checkpoint is delivered and you accept it. No approval, no invoice.
Fixed cost, unlimited features
Or hire the team outright: one fixed monthly cost, unlimited feature development, any stack.
The engineer takes your call
The person on your first call is the one who architects and writes it. No account managers, no bench time.

A US agency quotes $50,000 to $150,000 for the same build and asks for 40 to 50% of it before a line is written. Account managers, project managers, sales commission and bench time. None of it appears in your product.

How it works

Three stages, nothing hidden.

01

Twenty-minute call

You talk to the engineer who will build it, not a sales rep. We scope the problem and you get told plainly if this is the wrong fit.

02

Fixed proposal in 48 hours

Fixed price, fixed timeline, defined deliverables, in writing. No hourly billing surprises and no open-ended scope.

03

Weekly demos until it ships

Working software every week, direct access over Slack or WhatsApp, and documentation handed over at the end.

Working in Toronto

What actually applies here.

Regulation and data

Private companies in Ontario fall under the federal privacy law, PIPEDA, and federally regulated financial institutions also answer to OSFI, whose guideline on third-party risk shapes what banks ask of their vendors. Health information custodians in Ontario are covered by PHIPA. Canada's proposed federal AI law, AIDA, died when Parliament was prorogued in early 2025, so there is no national AI statute yet. Ontario now requires employers to disclose in public job postings when AI is used to screen or assess applicants.

Contracting and payment

You contract with an individual consultant based in India. Invoices in CAD or USD, paid by Wise or bank transfer. Your accountant treats an overseas supplier in the usual way, and any paperwork they need is provided before work starts.

Working hours

Four or more hours of daily overlap with Eastern time, calls in your morning, and same-day replies on working days.

Can our data stay in Canada?

Yes. We deploy into Canadian cloud regions in your own account, and models can run there too, so prompts and data do not leave the country.

Can you work with Ontario health data?

Yes, under the agreement your privacy officer requires for PHIPA, with data kept in Canada and every access logged.

Is three days realistic?

For a working, demoable version of a core idea, yes, and that is what the three-day build is. A full production system with billing, admin and hardening takes weeks, not days. We will tell you which one your situation actually needs.

Do we own the code?

Entirely. It ships into your repository on your own cloud accounts, documented so your team or your next hire can pick it up without us.

Can you also host the AI model privately?

Yes, and as part of the same engagement. If compliance means inference cannot leave your network, the serving layer and the application are built together rather than handed between vendors.

Full detail

MVP Development

A working MVP in as little as 3 days, from $1,000. Production-grade, not a throwaway prototype.