FAQ

Questions about the desk

Straight answers about how PropMotion AI engages with brokerages, developers, REITs and investors — what our automated valuation models can and cannot promise, and where senior analyst review stays non-negotiable.

PropMotion AI team standup reviewing market analytics methodology and model validation

HOW WE WORK

Project, retainer or phased roadmap

Most client organizations start with discovery and a scoped prototype. Retainers suit teams that need ongoing model validation, data pipeline maintenance and fair-housing governance after launch. We publish indicative CAD ranges on our Services page — final quotes depend on data quality, MLS and CRM integration depth, and project scope.

Is PropMotion AI a real-estate brokerage, a mortgage / investment service, a listings portal, or a "get rich in real estate" course?

No. We are a proptech analytics studio that builds automated valuation models, market analytics and deal intelligence for client organizations, always with senior analysts in the loop. We are NOT a licensed brokerage, agent or property manager, NOT a mortgage lender or broker, NOT a listings marketplace, and NOT a course. "Prop" means property; "Motion" means market and deal momentum; the .pro TLD is branding only. Valuations and forecasts are estimates that can be inaccurate or biased and need human review and fair-housing checks — we do not give financial or investment advice and do not guarantee valuations, returns or timelines.

What engagement models do you offer?

We work on fixed-scope projects, phased roadmaps and monthly retainers. Discovery engagements map your data estate and define measurable outcomes. Production builds deliver market analytics dashboards, AVM support layers and CRM integrations. Retainers cover model validation, predictive analytics retraining and governance for enterprise investors and national brokerages. We are a real-estate AI consultancy — not a SaaS subscription you sign up for online.

What are typical budgets in Canadian dollars?

Discovery starts around C$20,000. Production builds for market intelligence and automated valuation model support typically range from C$48,000 to C$175,000 depending on scope. Retainers for ongoing model validation and data pipeline support begin near C$9,000 per month. We quote after a market read when we understand your MLS feeds, geospatial data quality and integration requirements.

How long does a typical engagement take?

Discovery-to-prototype for market analytics often runs four to eight weeks. Full production delivery with MLS and CRM integrations may take three to six months for enterprise client organizations. Timelines depend on data access, security posture reviews and how quickly your analysts can participate in human-in-the-loop validation. We will tell you if your timeline is unrealistic before you sign.

Which models and data sources do you use?

We select machine learning models based on your records, not a generic vendor catalogue. MLS feeds, CRM exports, geospatial data, macro signals and internal deal history each play a role in comparative market analysis, price forecasting and lead scoring. We document feature lineage, model validation results and known failure modes. Third-party cloud and AI vendors are disclosed in statements of work and our Privacy Policy.

How do you handle client data, MLS data and intellectual property?

Client organizations retain ownership of their data. We process information under PIPEDA-aligned agreements with defined retention, access controls and confidentiality terms. MLS and listing data use follows your board agreements and our scoped statement of work. Models and dashboards built for you are licensed per contract — we do not resell your comp pools or deal records. Cross-border processing with cloud sub-processors is documented upfront.

How does human oversight work?

Every automated valuation model output, price forecast and lead score that could influence a deal passes human-in-the-loop review before production use. Analysts can override, annotate and halt automated actions when confidence drops. We train your team on exception queues and escalation paths. Responsible AI is not a footer disclaimer — it is built into the workflow.

What about model bias, fairness and fair-housing compliance?

Model bias and fairness checks are mandatory for search, scoring, valuation and listing optimization systems. We test whether outputs could steer, exclude or misrepresent protected groups under Canadian human-rights and fair-housing law. Automated decisions affecting people — such as tenant or applicant screening — require explicit fairness review and human sign-off. We do not support discriminatory targeting.

What do you NOT do?

We do not guarantee valuations, sale prices, returns or "sell in X days" timelines. We are not a licensed brokerage, mortgage broker, property manager or listings portal. We do not sell get-rich, flipping or passive-income courses. We do not offer tokenization, crypto or investment products. We do not provide certified appraisals, legal advice or tax advice. We do not make autonomous buy/sell decisions on your behalf.

Who owns the models and outputs?

Ownership and licence terms are defined in each statement of work. Typically, client-specific models, dashboards and documentation are licensed to you for internal use; our general methodology and pre-existing tools remain ours. Confidentiality survives project end. Ask us to walk through IP clauses during discovery if your enterprise procurement team requires it.

Still have questions?

Book a market read and ask us directly — we prefer candid conversations over brochure answers.

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