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Maison GR — Artificial intelligenceQuebec City --:--

AI in your product,not in a demo.

Assistants, agents, search over your documents, content generation: we integrate AI where it saves time or money, with guardrails, quality measurement and controlled costs.

Who it is for

For companies moving from trying ChatGPT to a reliable AI feature, integrated with their tools and data.

01What we build

The scope,plainly.

  1. aAssistants and chatbotsConnected to your documents, knowledge base or customer support.
  2. bAI agentsMulti-step tasks, with human approval where the risk calls for it.
  3. cSearch over your documents (RAG)Answers that cite your internal sources instead of making things up.
  4. dAI features in a SaaSAnalysis, drafting, recommendations, right inside your product.
  5. eQuality evaluationTest sets that measure answers before and after every change.
  6. fData and privacyWhat the model sees, what it keeps, and the assessment Quebec's Law 25 requires.

02Budget

What the marketpublishes.

Ranges published by third parties, not a quote. Details, sources and calculator on the costs page.

AI assistant or chatbotAn assistant connected to your documents or support.$25,000 – $60,000Apptunix
Basic AI softwareOne AI feature at the heart of a product.$30,000 – $60,000Apptunix
Mid-level AI softwareSeveral AI features, integrations, quality evaluation.$60,000 – $120,000Apptunix
Enterprise AI platformSensitive data, governance, high availability.$120,000 – $300,000Apptunix
See costs and the calculator

03Proof

Already done,in production.

Rehearse has AI play the person across the table, then scores the conversation. Resistaa uses AI to help start a blocked task. Both are in production, in three languages.

AI conversation training platformRehearsePractice the raise, the breakup, the confrontation — with AI that plays the actual person, pushes back the way they would, and scores exactly where you lost ground.Read the case study
ADHD knowledge, research & AI platformResistaaA trilingual platform that helps ADHD users understand the block, trust the content, and begin with one realistic action.Read the case study

04Approach

Howwe move.

  1. 01

    Use case

    A precise problem, a measurable gain, an acceptable risk.

  2. 02

    Proof of concept

    On your real data, with quality measurement.

  3. 03

    Integration

    In your tools or product, with guardrails and cost tracking.

  4. 04

    Monitoring

    Quality, usage costs and user feedback, month after month.

Our full method

05Frequently asked questions

Before youwrite to us.

01How much does an AI project cost?

Apptunix publishes $25,000 to $60,000 for an AI chatbot and $30,000 to $300,000+ depending on complexity in Canada. Our costs page shows these figures and their sources.

02Are our data used to train the models?

It depends on the provider and its contract. That choice is made at scoping and documented in the privacy impact assessment Quebec's Law 25 requires.

03What is RAG?

Retrieval-augmented generation: the AI first searches your documents, then writes its answer from what it found, with the sources.

04Can AI be wrong?

Yes. That is why we measure quality on test sets, limit what the AI can do alone and keep human approval on sensitive decisions.

→Maison GR

AI that serves your business, not your slide deck.

Describe your project: a senior team member replies within 24 hours with a clear direction and an order of magnitude.