Generative AI development · Toronto

Generative AI development company in Toronto

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 Toronto 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 Toronto

Remote, but close to Toronto

Time-zone overlap

We overlap with Eastern Time mornings and run flexible shifts for a live daily stand-up, with progress 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 · Toronto

Built for Toronto's key sectors

Toronto-area clinics, startups and growing companies use us to build healthcare software, AI assistants and SaaS products, designed with PIPEDA in mind and with data kept in Canadian cloud regions when required.

Natural resources and energy

Mining and oil firms digitise field operations and reporting. AI here usually means faster reporting, fewer manual steps and better customer replies.

Financial services

Major banks and fintechs modernise digital banking. We start with one costly process and automate it end to end.

AI research and tech

Strong AI ecosystem fuels startups shipping ML products. We build AI agents, assistants and automation around these workflows.

Agriculture and food

Farm and food producers adopt supply-chain and traceability tools. AI here usually means faster reporting, fewer manual steps and better customer replies.

Toronto time · Toronto

Your working day with us

Our team's hours, in Toronto 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

Toronto time, plus written updates every evening

Local setup

Local platforms and setup

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 Toronto

Do you work with companies in Toronto?+

Yes. Clarigo Infotech works with companies across Toronto, including Toronto, Mississauga, Waterloo, 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 Toronto?+

We overlap with Eastern Time mornings and run flexible shifts for a live daily stand-up, with progress 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.

Where will our data be hosted?+

Usually in AWS Canada (Central) and Canada West (Calgary), Google Cloud Montreal and Toronto, or wherever your data rules require. Everything runs in your own cloud account, so you stay in control.

Do you support SMS?+

Yes. Customers in Toronto often prefer SMS and WhatsApp and LinkedIn, so we connect chatbots, notifications and support flows to them.

Do you work with natural resources and energy companies?+

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

How much does generative AI development cost?+

It depends on scope, integrations and usage volume. You get a fixed quote for a defined scope after a free consultation, plus an estimate of monthly model costs. Senior developers are typically $25 to $49 (USD) per hour.

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.