LLM development · Montreal

LLM development company in Montreal

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

Clarigo Infotech is an LLM development company that builds custom applications on large language models such as OpenAI GPT, Anthropic Claude, Google Gemini and open-source models like Llama. We design the prompts, retrieval, tools and guardrails, connect the model to your data and systems, and run it in production with monitoring, evaluation and cost control.

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 Montreal 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 we build with LLMs

Custom LLM applications

Assistants, copilots and internal tools built around your workflows, not a generic chat window.

LLM integration

Add GPT, Claude or Gemini to your existing product through secure, well-tested APIs.

Open-source and private models

Deploy Llama and other open models on your own cloud when data must stay in-house.

Fine-tuning and evaluation

Tune models on your examples and measure accuracy with test sets before and after launch.

Guardrails and safety

Input and output filtering, PII masking, grounding checks and human review where needed.

Cost and latency optimisation

Model routing, caching and prompt design that keep responses fast and bills predictable.

In depth

How we approach LLM development

Choosing the right model

There is no single best model. We compare OpenAI, Claude, Gemini and open-source options on your real tasks for accuracy, speed, cost and data handling, and design the app so the model can be swapped later without a rewrite.

Grounded in your data

Most business value comes from connecting the model to your documents, databases and tools. We use retrieval (RAG), function calling and agents so answers come from your information and actions happen in your systems.

Built for production, not demos

We add evaluation test sets, logging, monitoring, rate limits, fallbacks and cost alerts from day one, so the app keeps working well after launch and you can see exactly what it is doing.

Security and compliance

Data minimisation, encryption, access control and providers configured not to train on your data. For healthcare we build to HIPAA requirements with BAAs in place for any service that touches PHI.

Working with us from Montreal

Remote, but close to Montreal

Time-zone overlap

Our team overlaps with US Eastern mornings and runs flexible evening shifts for a live daily stand-up, so you get same-day answers and progress waiting 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 · Montreal

Industries we work with in Montreal

Montreal companies work with us on AI products and SaaS, including bilingual English and French interfaces, with privacy designed for Canadian requirements.

Natural resources and energy

Mining and oil firms digitise field operations and reporting. We build AI agents, assistants and automation around these workflows.

Financial services

Major banks and fintechs modernise digital banking. AI here usually means faster reporting, fewer manual steps and better customer replies.

AI research and tech

Strong AI ecosystem fuels startups shipping ML products. We start with one costly process and automate it end to end.

Agriculture and food

Farm and food producers adopt supply-chain and traceability tools. We build AI agents, assistants and automation around these workflows.

Montreal time · Toronto

Your working day with us

Our team's hours, in Montreal 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

Montreal 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

We agree the use case, success measures and data, and show you a clickable design.

Weeks 2-3: build and integrate

We build, connect it to your systems and data, and demo working software every week.

Week 4: test and launch

We test with real cases, add monitoring and guardrails, then go live.

After launch: improve and scale

The same engineers keep tuning quality, cost and features as usage grows.

FAQ

LLM development company: questions from Montreal

Do you work with companies in Montreal?+

Yes. Clarigo Infotech works with companies across Montreal, including Montreal, Laval, Longueuil, 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 Montreal?+

Our team overlaps with US Eastern mornings and runs flexible evening shifts for a live daily stand-up, so you get same-day answers and progress waiting 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.

What time are your meetings in Montreal time?+

Our core hours fall outside your day, so we run a flexible shift for a daily stand-up at about 09:30 Montreal 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.

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.

What does an LLM development company do?+

An LLM development company designs, builds and runs applications powered by large language models: assistants, copilots, document processing, search and agents. Clarigo Infotech handles model choice, prompts, retrieval, integrations, guardrails, testing and production monitoring.

Which LLM should we use: GPT, Claude, Gemini or open source?+

It depends on your task, data rules and budget. We test the options on your real examples and recommend the best fit, and we build so you can switch models later.