Montréal · AI development

    AI Development Agency in Montréal

    We help Montréal and Québec businesses put AI to work in production: assistants that answer from your documents, agents that follow up and take action, and AI features inside the tools your team already uses. We start with a short pilot on your own data, measure quality, and only then scale.

    • AI running in production for clients
    • Tested in French and English
    • Law 25-aware design

    How we help you use AI

    • Advise

      Workshops to find the use cases worth automating, with a clear estimate of value, effort and running costs.

    • Prove

      A short pilot on your real data and workflow, with quality measured against examples you choose.

    • Build

      Production AI: assistants, agents, document search and AI features integrated with your CRM, support desk or app.

    • Operate

      Evaluation, monitoring, usage limits and cost tracking so the system stays accurate and affordable as usage grows.

    Who we work with

    1. 01

      Québec SMBs starting with AI

      Teams that want one concrete win, such as faster support or less manual follow-up, before investing further.

    2. 02

      Product companies adding AI

      SaaS and app companies adding an assistant, smart search or automation to an existing product.

    3. 03

      Operations with lots of documents

      Firms whose knowledge lives in PDFs, emails and records, in French and English, and needs to become searchable and usable.

    AI development services

    1. 01

      AI consulting and use-case workshops

      We map your processes, rank AI opportunities by impact and effort, and recommend where AI is not worth it.

    2. 02

      AI assistants on your documents

      Assistants that answer from your own documents and data with citations, access controls and human hand-off.

    3. 03

      AI agents and workflow automation

      Agents that qualify leads, follow up by text, email or phone, update your systems and escalate to people when needed.

    4. 04

      AI features in apps

      Recommendations, image and voice features, summarization and smart search inside web and mobile apps.

    5. 05

      Data pipelines and evaluation

      Connecting and cleaning the data AI needs, building test sets and measuring accuracy before every release.

    6. 06

      Model choice and cost control

      Choosing between commercial APIs and self-hosted models, estimating monthly usage costs and keeping them in check.

    AI built for Québec rules and languages

    AI that touches personal information or speaks to customers in Québec needs a few things planned from the start.

    1. 01

      Automated decisions under Law 25

      When a decision about a person is based exclusively on automated processing, Law 25 requires informing them and explaining the factors on request. We design for that.

    2. 02

      Data leaving Québec

      Sending personal information to a model hosted outside Québec requires a privacy impact assessment first. We help you choose models and hosting accordingly.

    3. 03

      French-language quality

      Quality can differ between French and English. We test your use case in both languages before launch.

    4. 04

      SR&ED for AI work

      AI work that resolves real technological uncertainty may qualify for SR&ED tax credits. We keep the technical records that support a claim.

    AI work and client reviews

    Featured · Maxx Media
    “I'm super impressed with how everyone on the team has a grasp of the projects.”
    Employee, Maxx Media Experts · verified 5.0 review on Clutch (AI development, chatbots, NLP)

    For Maxx Media we connected point-of-sale data to an intelligent review management pipeline, with AI sentiment analysis and automated follow-up, reaching an 85% review response rate.

    • Sierra, an AI agent for BuilderLync

      An AI agent that answers every new lead in under 60 seconds by text, email or voice, qualifies it and books appointments.

      Read the case study
    • AI wellness platform for Ahead

      “Their hard-working attitude and willingness to go the extra mile were impressive.” Product Growth Manager, Ahead App, verified 5.0 review on Clutch.

      Read the review
    • Datasets for embodied AI at TurboTune

      Work with a research lab capturing multi-sensor datasets of skilled human craft to train embodied AI.

      Visit TurboTune

    How to choose an AI agency in Montréal

    • A pilot on your data

      A short paid pilot on a real workflow tells you more than any demo or slide deck.

    • Clear evaluation

      Ask how accuracy is measured, how wrong answers are caught and how changes are tested.

    • Data handling

      Which providers see your data, where it is processed, and whether it is retained or used for training.

    • Running costs

      A monthly cost estimate at your expected volume, and a plan to keep it under control.

    Read our full guide to choosing an AI development company in Montréal

    Frequently asked questions

    Do you build AI solutions for Montréal businesses?
    Yes. We're a Montréal team that builds AI assistants, agents and AI features into production software for businesses in Montréal, across Québec and Canada, and in the United States.
    How do we start an AI project?
    With a short workshop to choose one use case, then a pilot on your own data with quality measured against real examples. If it works, we build it into your tools; if not, you've learned that cheaply.
    How much does an AI project cost?
    Adding one well-defined AI feature to an existing product typically takes about 150–600 hours at our published rate of $50–$99 USD per hour, plus monthly model usage fees.
    Does Law 25 apply to our AI system?
    Yes, if it uses personal information. Law 25 covers automated decisions about people and transfers of personal information outside Québec, so we plan for both from the start.
    Does the AI work in French?
    Yes. We test every use case in French and English, because quality can differ by language, model and task.
    Which AI models do you use?
    We choose per project: commercial models through APIs when speed matters, or open-source and self-hosted models when data control or cost requires it.

    Have a process AI could take off your team's plate?

    Tell us about it, in English or French, and we'll help you decide whether AI is the right tool and what a pilot would look like.