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Meridianstacks
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Canada

AI & ML development for Canadian companies

Meridianstacks is a distributed team of senior engineers that builds and ships AI and machine learning features for Canadian companies while working Eastern Canada hours. We turn LLMs, retrieval and automation into product — pragmatic work that goes live — with a real daily standup window, native-level English, and pricing 50–75% below a Toronto or Montreal agency. Your matched hub is Lagos (UTC+1) — your whole Eastern morning overlaps our afternoon, live, every day.

Get a fixed quote →How we work
In short

An AI development company in Canada builds machine learning and LLM features into your product — from RAG over your own documents to automation and scoring models. Meridianstacks delivers this pragmatically and shipped, with fluent-English engineers who overlap the Eastern Canada morning for a live standup. You own all code, models and IP under Canadian-law contracts, your data is handled to PIPEDA, and you pay 50–75% less than a local agency.

What we build

AI that ships, not demos

LLM features & copilots

Chat, in-app copilots, summarization, extraction and classification wired into your existing product and workflows.

RAG over your data

Retrieval-augmented generation grounded in your own documents and databases, with citations and guardrails to curb hallucinations.

Workflow automation

Document processing, triage and back-office automation that removes manual steps and frees your team's time.

Classic ML models

Forecasting, recommendation, scoring and anomaly detection — trained, deployed and monitored when that beats an LLM.

ML pipelines & MLOps

Data pipelines, evaluation sets, deployment and monitoring so models stay accurate and costs stay predictable in production.

Dedicated AI engineers

Vetted, full-time AI/ML engineers embedded in your team and standups on a simple monthly retainer in CAD.

Why a Canada-hours AI team wins

Hub-grade AI talent, on your standup

Canada has become a genuine AI hub — the Vector Institute in Toronto and Mila in Montreal set a high bar, and local agency rates reflect it. The hesitation over building AI with a remote team is the overnight handoff, vague English in prompt and stakeholder work, and not knowing who is shipping your models. Meridianstacks removes all three: a real morning overlap with Eastern Canada, native-level English, and senior engineers you video-call before you commit.

  • 3–4h morning overlap with Toronto / Eastern Canada — a live daily standup, not overnight tickets
  • Fluent, native-level English — clear prompts, specs and accuracy reviews
  • Senior AI engineers — technically assessed before contract
  • Canadian-law contracts — you own the code, models and IP; PIPEDA-aligned DPA
Overlap with the Canadian workday
OptionEastern Canada overlapCost vs Canada agency
MeridianstacksMorning standup (3–4h)50–75% less
Canada agencyFullBaseline (CAD 80–200/hr)
India offshoreThin / asyncLowest, but limited English
LatAm nearshoreSimilar morningHigher; English varies
Pricing

What AI & ML development costs in Canada

BuildTypical Canada agencyMeridianstacks
AI-enabled MVP web appCAD 20,000–80,000~CAD 9,000–35,000
Mobile app (iOS + Android)CAD 55,000–200,000~CAD 31,500–61,000
Custom AI SaaS platformCAD 80,000–240,000~CAD 31,500–61,000
Dedicated AI developer (monthly)CAD 12,000–22,000~CAD 4,500–9,000

Prices published from our Open Price Book (v1.0 · July 2026 · next review October 2026). All prices exclude VAT.

Indicative ranges; savings of 50–75% versus a local agency at CAD 80–200/hr. Every engagement is quoted as a fixed price in Canadian dollars before work begins.

Questions & answers

AI & ML development in Canada — FAQ

How much does AI and ML development cost in Canada?
Canadian agencies typically bill CAD 80–200 per hour, so an AI-enabled MVP web app runs about CAD 20,000–80,000 and a custom AI SaaS platform CAD 80,000–240,000. Meridianstacks delivers the same scope for roughly 50–75% less — an LLM-powered MVP from around CAD 9,000–35,000 — quoted as a fixed price in Canadian dollars before work begins.
Is my data safe, and does Meridianstacks comply with PIPEDA?
Yes. We sign a PIPEDA-aligned Data Processing Agreement, and because Canadian privacy law makes you accountable for cross-border data handling even when a processor sits outside Canada, we document where data is stored and processed, restrict training-data use, and can keep customer data inside your own cloud tenancy. You own all code, models and prompts under Canadian-law contracts.
How is Meridianstacks different from AI offshore teams in India or LatAm?
Two things. Against India-based teams we win on a real daily standup window — a 3–4 hour morning overlap with Toronto and Eastern Canada — plus native-level English for prompt design and stakeholder calls. Against LatAm teams, whose overlap is similar, we compete on price and on English fluency. With every option, you meet your senior engineers on a video call before you commit.
Can you work in Canadian business hours?
Yes. We staff Canadian engagements for a 3–4 hour morning overlap with Toronto and Eastern Canada, which is enough for a live daily standup, design reviews and real-time calls. The overlap is thinner for Vancouver and Pacific-time clients, so we agree a fixed standup window up front to protect it.
What kinds of AI and ML features do you build?
Pragmatic, shipped features rather than research papers: LLM integration (chat, copilots, summarization, extraction, classification), retrieval-augmented generation over your own documents, workflow and document automation, recommendation and scoring models, forecasting, and ML pipelines with monitoring. We focus on the AI that moves a Canadian product or operation, not demos.
Do you only do generative AI, or also classic machine learning?
Both. We integrate LLMs and build RAG and agentic features, and we also train and deploy classic ML models — classification, regression, forecasting, recommendation and anomaly detection — when that is the right and cheaper tool. We recommend the simplest approach that solves the problem rather than defaulting to the largest model.
What AI and ML technologies and models do you work with?
Python with PyTorch, scikit-learn, LangChain and LlamaIndex; vector databases such as pgvector, Pinecone and Weaviate; and the major model providers plus open models via Hugging Face. On the product side: Next.js/React, Node.js and FastAPI, deployed on AWS, GCP or Azure. Canada is a strong AI hub — the Vector Institute in Toronto and Mila in Montreal — and we hire to that bar.
How long does an AI feature or pilot take to ship?
A focused LLM or RAG feature usually reaches a working pilot in 4–8 weeks, and a full AI-enabled MVP in 8–14 weeks depending on data readiness and integrations. We ship a usable version early, then improve accuracy and add capability in measured iterations.
How do you control AI accuracy, hallucinations and cost?
We ground answers in your data with RAG, add evaluation sets and guardrails before launch, log and monitor outputs, and keep a human in the loop where stakes are high. On cost, we right-size models, cache and batch where possible, and instrument token usage so spend stays predictable instead of surprising you on the monthly bill.
How do I start, and how do payments and contracts work?
Book a free 30-minute scoping call in Canadian hours and we will give an honest read on feasibility, timeline and cost, then a fixed quote in CAD. We invoice in Canadian dollars against agreed milestones — you only pay for delivered work. Contracts are Canadian-law, assign all IP, code and models to you, and include a signed PIPEDA-aligned DPA where personal data is involved.

Get a fixed quote in Canadian dollars.

Book a free 30-minute scoping call with a senior AI engineer — in Canadian hours. Honest answer on feasibility, timeline and cost.

Book a free scoping call →