Generative AI development · Canada

Generative AI development company in Canada

Ship faster with senior engineers at offshore rates, overlapping your morning with a daily live stand-up.

Clarigo Infotech is a generative AI development company that builds GenAI products for businesses: copilots for your team, content, image and document generation, fine-tuned models and private LLMs that run on your own cloud. We connect models to your data with retrieval and guardrails, so outputs are grounded and safe to use. A focused GenAI product usually goes live in 25 to 30 days.

Canadian companies most often hire us for clinic and healthcare automation, AI agents and custom web and mobile apps.

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10+

Years of delivery

600+

Projects delivered

20+

Countries served

25-30

Days to a live MVP

Get a free consultation

Tell us what you need. A senior engineer replies within one working day.

No obligation. We reply within one working day.

What matters to Canada teams

Speed, ROI and a team that scales with you

North American teams care about getting to market fast and proving return on investment. We focus on a production launch in weeks and measurable results after it.

01

Production in 25 to 30 days

A real, launchable first version in about a month, so you can sell, raise or learn sooner.

02

Senior talent, lower burn

Senior engineers at typical rates of $25 to $49 per hour, without recruiting costs or long notice periods.

03

Built to scale

Cloud architecture, automated tests and CI/CD from day one, ready for your next growth stage.

04

Security and compliance ready

HIPAA-trained team, HL7/FHIR experience, and security practices that fit SOC 2-style questionnaires.

What we do

What our generative AI development covers

Copilots and assistants

In-app assistants that draft, summarise, answer and take actions for your staff or customers, grounded in your own data.

Content generation

Product descriptions, marketing copy, reports and emails generated in your brand voice, with review steps before anything is published.

Image and media generation

Product imagery, design variations and visual assets generated from prompts or templates, built into your existing workflow.

Document generation

Proposals, contracts, summaries and structured reports drafted from your templates and records, ready for human sign-off.

Fine-tuning

Models fine-tuned on your examples when prompting and retrieval are not enough, with evaluation to prove the gain.

Private LLMs

Open-source models such as Llama, Mistral or Qwen hosted on your own cloud, so sensitive data never leaves your environment.

In depth

How we approach Generative AI development

Prompting, retrieval or fine-tuning

Most GenAI products work best with good prompts plus retrieval from your own documents. We only recommend fine-tuning when you have enough quality examples and a clear gap that retrieval cannot close, because it adds training and maintenance cost.

Choosing the right model

We compare GPT, Claude, Gemini and open-source models on your real tasks for quality, speed and cost before committing. The architecture keeps the model swappable, so you can switch providers as prices and capabilities change.

Guardrails and review

Generated output goes through checks for format, tone, facts against your sources and sensitive content. Where accuracy matters, we add a human approval step and keep a log of every generation.

Private by design

We use API providers configured not to train on your data, or host open-source models on your own cloud. For healthcare work, our HIPAA-trained team builds to HIPAA requirements.

Working with us from Canada

Built for Canadian teams

Time-zone overlap

Our team in India overlaps with Canadian mornings in the Eastern time zone, with flexible evening shifts for a live daily stand-up, and work progresses overnight so updates are ready each morning.

PIPEDA and provincial privacy laws

We build to PIPEDA principles (consent, limited collection, safeguards and access), keep data in Canadian cloud regions when required, and sign NDAs and data agreements before work starts.

Billing

Invoices in Canadian dollars (CAD) or US dollars. Typical senior rates are $25 to $49 (USD) per hour, or a fixed price for a defined scope.

Sectors · Canada

Where we help Canada businesses most

Natural resources and energy

Mining and oil firms digitise field operations and reporting. We start with one costly process and automate it end to end.

Financial services

Major banks and fintechs modernise digital banking. We build AI agents, assistants and automation around these workflows.

AI research and tech

Strong AI ecosystem fuels startups shipping ML products. AI here usually means faster reporting, fewer manual steps and better customer replies.

Agriculture and food

Farm and food producers adopt supply-chain and traceability tools. We start with one costly process and automate it end to end.

Canadian time · Toronto

Meetings in your time zone

Our team's hours, in Canadian time

23:30–09:00

Monday to Friday

Overlap with your working day

Flexible shift

Evening shift for a live stand-up, progress overnight

Daily stand-up

09:30

Canadian time, plus written updates every evening

Local setup

What we set up for Canada

Messaging channels

SMSWhatsAppLinkedIn

Languages

EnglishFrench

Local payments

InteracStripeMoneris

Data hosting

AWS Canada (Central) and Canada West (Calgary), Google Cloud Montreal and Toronto, in your own cloud account, so data stays where your rules require.

Process

How it works

Week 1: discovery and design

A free call to understand your goal, then a written scope, a fixed quote and a clickable design you can test.

Weeks 2-3: build and integrate

Senior engineers build in short sprints, connect your systems and demo working software every week.

Week 4: test and launch

We test with real data, set up monitoring and deploy to your own cloud account, then go live.

After launch: support and grow

The same team stays on for support, improvements and new features, with guaranteed response times.

FAQ

Generative AI development company: questions from Canada

Do you work with companies in Canada?+

Yes. Clarigo Infotech works with companies across Canada, including Toronto, Vancouver, Montreal, as part of clients in 20+ countries. Canadian companies most often hire us for clinic and healthcare automation, AI agents and custom web and mobile apps. We work remotely from India with one in-house team.

What time-zone overlap do we get from Canada?+

Our team in India overlaps with Canadian mornings in the Eastern time zone, with flexible evening shifts for a live daily stand-up, and work progresses overnight so updates are ready each morning.

How do you handle PIPEDA and provincial privacy laws?+

We build to PIPEDA principles (consent, limited collection, safeguards and access), keep data in Canadian cloud regions when required, and sign NDAs and data agreements before work starts.

Which currency do you bill in, and what does it cost?+

We bill in Canadian dollars (CAD) or US dollars. Senior engineers typically cost $25 to $49 (USD) per hour, and fixed-scope projects such as an MVP in 25 to 30 days are quoted after a free consultation.

Do you work with natural resources and energy companies?+

Yes. Natural resources and energy is one of Canada's key sectors, and we build AI agents, assistants and automation around these workflows.

What time are your meetings in Canadian time?+

Our core hours fall outside your day, so we run a flexible shift for a daily stand-up at about 09:30 Canadian time, and the rest of the work moves forward overnight.

Can you build in English and French?+

Yes. We build interfaces and content in English and French, and test them with native speakers before launch.

How long does it take to build a GenAI app?+

A focused generative AI product for one use case typically goes live in 25 to 30 days. Fine-tuning or private model hosting can add time, which we agree in the scope.

Do we need to fine-tune a model?+

Usually not at first. Prompting with retrieval from your documents covers most needs. We recommend fine-tuning only when testing shows a clear benefit.