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Product and MVP development

AI Product & MVP Development in Vancouver

The best AI Product & MVP Development in Vancouver, 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.

Vancouver's technology sector is known for games and visual effects, clean technology and a growing number of SaaS companies, with large US technology firms running offices here. It is closely tied to Seattle, so many teams work across the border and share a time zone with the US West Coast.

Vancouver founders often build for the whole West Coast market from day one. The build works in Pacific time with you and in Canadian or US cloud regions as needed.

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.

Vancouver, British Columbia

Who builds here

Games and visual effectsClean technologySaaS and enterprise softwareCross-border teams with Seattle
Best fit in Vancouver

AI Development Company

Vancouver's games, media and SaaS companies are adding AI to products people already use, and need production AI engineering more than strategy.

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 Vancouver

What actually applies here.

Regulation and data

Most private companies in British Columbia are covered by the province's own private sector privacy law, PIPA, rather than PIPEDA. Public bodies fall under FIPPA, whose strict data residency rule was relaxed in 2021 but still requires care with personal information stored outside Canada. Companies selling into the BC public sector or health organisations should expect privacy impact assessments as part of procurement.

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

Calls in your morning, Pacific time, and work handed over at the end of your day so the next round of changes is waiting when you start.

Does BC's privacy law differ from the federal one?

For most private companies in BC, PIPA applies instead of PIPEDA. The principles are similar: consent, reasonable purposes, security and access. We build to whichever applies, and your privacy officer confirms which.

Can you work across Vancouver and Seattle teams?

Yes. Both are on Pacific time, and the work runs through your repositories and tools, so a team split across the border is no different.

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.