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Lenders often face challenges in assessing the full risk profile of buy-to-let (BTL) mortgage holders, especially when portfolios are spread across multiple lenders and property types. Our solution provides a comprehensive view, leveraging verified data to improve decision-making.

Property (asset) stability
Identify factors that impact property value, including rental yield, property type, and environmental risks.

Income stability
Detect potential risks to rental income, including tenant movement trends and EPC-related compliance issues.

Regional benchmarking
Compare portfolio performance against regional and national rental stock data to assess risk concentration.

Data-driven risk modelling
Leverage our Aggregated Risk Model (ARM) and Enhanced Property Metrics (EPM) for a refined, real-world risk evaluation.

Leverage market intelligence for stronger lending decisions
Go beyond surface-level assessments — our solution supports risk mitigation, regulatory compliance, and portfolio optimisation by providing data-backed insights.
Key applications include:
• Portfolio risk analysis: Evaluate potential exposure by analysing key portfolio metrics.
• LTV and rental stability checks: Assess worst-case scenarios using real-time sale and rental data.
• Concentration risk assessment: Identify overexposure within specific property types or locations.
Seamless integration for maximum efficiency
Our buy-to-let risk insights are available in easy-to-use formats, making implementation simple and efficient. Whether through API, batch delivery, or custom reporting, our data can be seamlessly incorporated into existing workflows.
Unlock the power of buy-to-let market intelligence
Gain deeper insights into buy-to-let portfolio risk and enhance your lending decisions with our data-driven approach.