We build and deploy AI to help our clients make better property and location decisions — safely, securely and transparently. Privacy-first, human-accountable, and grounded in recognized governance frameworks.
AI · GovernedWe integrate AI to improve accuracy, efficiency and insight across our data platform, products and services. Our approach centres on protecting data, keeping people accountable, and maintaining clear governance everywhere AI is used.
We're clear about where and how AI touches property and location data, and people — not models — remain responsible for the decisions it informs.
AI operates inside a defined governance framework, with policies, oversight and risk assessment across its full lifecycle.
We evaluate our own models and scrutinize third-party providers for fairness, so location and demographic AI doesn't entrench bias.
We acquire, design and deploy AI to augment expert judgment — analysts, agents, underwriters — and to respect human oversight at all times.
Every AI feature ships with safeguards and stays within the limits of what it was built to do, prioritizing safety, privacy and data protection.
AI helps our teams draft, summarize, research and automate internal workflows. These tools run only on internal information or data an employee provides for their own task — never client data.
Our platforms include AI-assisted search, summarization and generative assistance. Each feature ships with built-in guardrails and pre-release evaluations for accuracy, safety and responsible use.
We build the Neighbourly data platform from public, licensed and partner sources — never client data — using statistical modelling and machine learning to estimate neighbourhood-level attributes across Canada.
Our analysts apply AI to support modelling, forecasting and insight on client-provided data, under project-specific controls and contractual restrictions.
Cloud-based AI runs on enterprise services with tenant-level isolation and strong controls, so client information stays private and is never used to train or enhance third-party models.
Encryption, least-privilege access management, data minimization, monitoring and audit logging are standard across our platform and services.
We align with PIPEDA and applicable provincial privacy law, and host data in Canadian data centres.
Retention follows classification-based practices, is governed by client data-sharing agreements, and supports secure deletion on request.
AI features run in cloud or private environments with tenant- or instance-level isolation and strong data-handling controls.
Client data is not used to train or improve AI models for other customers or third parties.
Prompt-injection defenses, input validation and data-minimization controls reduce the risk of unintended instructions or misuse.
System prompts, allowed-content policies and domain-specific instructions keep AI responses relevant and supported.
Rate limiting, anomaly detection and audit logging deter misuse and support investigation.
AI features undergo pre-release evaluations for accuracy, safety and reliability, and we monitor and adjust controls over time.
Our responsible-AI program is anchored in the NIST AI Risk Management Framework and aligns with the OECD AI Principles and Canada's Voluntary Code of Conduct on Advanced Generative AI Systems.
How we build responsible real estate data.
Read the paper →No. Client data is never used to train AI models that are shared with other clients, and cloud AI runs with tenant-level isolation so your information is never used to train or enhance third-party models.
Our program is anchored in the NIST AI Risk Management Framework and aligns with the OECD AI Principles and Canada's Voluntary Code of Conduct on Advanced Generative AI Systems.
No. AI is used to support expert judgment. Humans remain accountable for final decisions across every AI-enabled workflow.
No. The Neighbourly data platform is built from public, licensed and partner sources — never client data — using statistical modelling and machine learning to estimate neighbourhood-level attributes across Canada.
In Canadian data centres, aligned with PIPEDA and applicable provincial privacy law, with encryption and strict access controls by default.
Guardrails include tenant isolation, prompt-injection defenses, output constraints, abuse and anomaly monitoring, audit logging, and pre-release evaluations for accuracy and reliability.
Talk to our team about our responsible-AI program, data handling and governance.