Questions we answer before discovery

How do you engage — project or retainer?

Both. Most client organizations start with a fixed-scope discovery or prototype project, then move to a retainer for model QA, data pipeline maintenance and fair-housing governance. We publish indicative CAD ranges on our Services page. Enterprise engagements may combine multiple workstreams under a single statement of work with phased production delivery milestones.

What are typical budgets in Canadian dollars?

Discovery and data-foundation work often falls between C$18,000 and C$55,000. Production builds for AVM support, listing content systems, lead scoring or document automation typically range from C$35,000 to C$180,000 depending on integrations and data quality. Ongoing retainers for model QA and governance start around C$8,500 per month. We provide a written estimate after the data walkthrough — not a guaranteed ROI calculation.

What does discovery and timeline look like?

A data walkthrough is roughly ninety minutes. Formal discovery — auditing property data sources, interviewing stakeholders, drafting architecture — usually runs four to six weeks. Prototype sprints are six to twelve weeks. Full production delivery depends on scope; a listing content system for a mid-size brokerage might ship in fourteen weeks, while a multi-province AVM support layer could take six months. We are direct about blockers early.

Which models, tools and platforms do you use?

We are platform-agnostic and integrate with your existing stack — common CRMs, MLS data feeds, cloud warehouses, property management systems and e-signature tools. Models are selected per use case: gradient boosting for tabular valuation features, embeddings for property search and recommendation, vision models for media QA, document models for lease abstraction. We do not resell licences or require migration to a proprietary SaaS. Tool choices are documented in the roadmap.

How is client data and intellectual property handled?

You retain ownership of your property data, models trained on your data and deliverables defined in the contract. We access client data only for the engagement scope, under confidentiality terms, with PIPEDA-aligned handling. We do not train global models on your proprietary records without explicit written consent. At project end, we transfer code, documentation and model artefacts per the statement of work.

How do you address data governance and PIPEDA?

We classify personal information in property datasets, document lawful bases for processing, implement access controls and retention schedules, and support individual access and correction requests through your Privacy Officer. Cross-border processing — for example cloud compute in the United States — is disclosed with appropriate safeguards. Our Privacy Policy details how enquiry forms and analytics cookies are handled.

What human oversight and responsible AI practices do you follow?

Human-in-the-loop review is mandatory for valuations, listing content, lead scores and document extractions that affect transactions or tenants. We produce model cards, monitor drift, test for discriminatory outcomes and document incident response. Responsible-AI reporting is part of governance retainers. AI in real estate should assist professionals — not replace accountability.

How do you handle model QA and fair-housing compliance?

Before launch, we test search, scoring, valuation and content systems against fair-housing scenarios and document results for your compliance team. After launch, monitoring catches performance decay and bias signals. Guardrails halt automated actions when confidence drops. We align with Canadian human-rights obligations and help North American enterprises meet internal policy requirements — without guaranteeing legal outcomes.

What do you explicitly not do?

We do not guarantee valuation accuracy, sale prices, rental yields, appreciation or ROI. We are not a brokerage, mortgage broker, lender, investment fund, REIT manager or crowdfunding platform. We do not sell real-estate courses, get-rich programmes, "AI income" schemes, crypto or tokenised-property offerings, or MLM products. We are not a general LLM consultancy without a property focus, and we are not a listings portal you sign up for.

Who owns data and how is confidentiality maintained?

Confidentiality terms are in every contract. Staff and contractors with data access sign agreements. We do not disclose client names in marketing without permission — our case studies are anonymised. Security measures include encryption in transit, role-based access, and logging. Breach notification follows PIPEDA requirements and your incident playbook.