1. Real-Estate Data & AI Strategy / Discovery
Before any automated valuation model runs, your property data has to be trustworthy. We audit MLS feeds, CRM exports, lease repositories and third-party geospatial layers — then design data pipelines and a clean foundation your analysts can operate. Discovery workshops with brokerage, developer and asset manager stakeholders define project scope, integration points and a roadmap from first record to reviewed estimate. We document data governance, PIPEDA-aligned retention rules and access controls so SME scale-ups and enterprise investors know who sees what. Strategy deliverables include a prioritized backlog, feature lineage plans and a realistic timeline. This is machine learning models for real estate done as engineering, not slide decks.
Typical range: C$20,000–C$58,000 discovery · C$48,000–C$125,000 production build
2. Automated Valuation Models (AVMs) & Pricing
Automated valuation models are useful when everyone remembers they are estimates. We build AVM support layers, property valuation tooling and comparative market analysis workflows calibrated to Canadian markets — with explicit confidence bands, comp selection rules and drift monitoring. Geospatial data enriches comps with neighbourhood context; portfolio analytics views help asset managers see concentration risk. Every valuation output routes through senior analyst review before it reaches agents, acquisitions desks or investor relations. We document model assumptions, known failure modes and refresh cadence. We do not guarantee valuation accuracy, sale prices or returns — analysts stay accountable for the final number.
Typical range: C$58,000–C$155,000 build · C$9,500–C$19,000/month retainer
3. Market Analytics & Demand / Price Forecasting
Markets shift faster than quarterly reports. We deliver market analytics dashboards, price forecasting and demand modelling tied to your inventory, absorption targets and acquisition criteria — with model validation checkpoints and human-in-the-loop review on every forecast that influences pricing. Predictive analytics layers combine MLS history, macro signals and geospatial features; fairness checks test whether outputs could steer protected groups. Client organizations get dashboards showing confidence intervals, data freshness and when retraining is due. Prototype sprints validate relevance metrics with your analysts before full production delivery across the Canadian market and wider North America.
Typical range: C$52,000–C$140,000 build · C$8,500–C$17,000/month model ops
4. Lead Scoring & Deal-Pipeline Intelligence
Deal-pipeline intelligence that cannot explain itself is intelligence your compliance team will shut down. We build lead scoring models tied to real behaviour signals — inquiries, showings, saved searches, price-band shifts — with deal-pipeline dashboards for brokerages and developers. CRM integrations route scored leads to the right pools without discriminatory targeting; model bias and fairness checks sit in the scoring path, not as an afterthought. Client organizations see why a lead ranked where it did, what data trained the model and when retraining is due. The goal is to surface the buyer at row four hundred, not chase noise at the top.
Typical range: C$45,000–C$128,000 build · C$8,000–C$15,500/month model ops
5. Listing & Marketing Performance Analytics
Listing optimization without context is vanity metrics. We design listing performance analytics that connect days-on-market, price adjustments, media quality and inquiry velocity to actionable signals — with listing optimization recommendations reviewed by editors, not auto-published. Marketing analytics tie channel spend to qualified leads; fair-housing compliance checks flag copy or targeting that could misrepresent protected characteristics. Brokerages and developers get dashboards their marketing and sales leads can argue about productively. Document automation hooks push approved insights to internal portals without bypassing human review.
Typical range: C$38,000–C$98,000 system build · C$7,800–C$14,500/month analytics retainer
6. Dashboards, MLS / CRM Integrations & Human Review
Models only matter when they reach the desk that decides. We deploy market analytics dashboards with MLS and CRM integrations, underwriting support views where scoped, and governance workflows that log every machine suggestion and human override. Data pipelines feed nightly refreshes; model validation monitors catch drift before clients notice. Retainers include senior data scientists and real-estate analysts on call for incident review, retraining decisions and fair-housing audits. This is how a Brant Street proptech studio keeps client organizations honest after launch day — with security posture documentation suitable for enterprise procurement.
Typical range: C$42,000–C$115,000 integration build · C$9,000–C$21,000/month governance retainer
NOT INCLUDED
What we do not sell
We are not a brokerage, mortgage broker, investment fund or real-estate course. We do not guarantee valuations, prices, rental yields or ROI. We do not offer get-rich programmes, tokenized property schemes or passive-income pitches.
