Mitigating risk is expensive

Banks and insurers are facing new risks, 
a challenging economic environment, 
more competition and regulatory pressure.

Banks

Lenders

Fintechs

Neobanks

Insurers

Which big questions could the full power of AI answer for your organisation?

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Supporting our financial services partners

The clarity and variety of insights PointData can derive from residential property data, using our proprietary modelling, is unique. We believe we are unrivalled in our depth of experience and breadth of insights.

Our risk analytics and insights have been proven to be some of the most reliable in the market, as evidenced in our ongoing government contracts. When combined with our commercial focus on sustainable growth and profitability, it forms a powerful proposition.

30x

more granular than other indices

What could the right answers do for your business?

  • Improve asset due diligence and lending risk management
  • Show how some properties (with the ability to separate land and buildings) are devalued due to climate factors, and by how much
  • Service and inform your customers better by understanding assets in the context of portfolio risk and opportunity. For example:
    • individual sites’ property developability opportunities
    • property value impacts that may arise from repeated climate-related events and zoning reforms
  • Assess an entire home loan portfolio quickly to uncover a range of insights including development potential, risk management options and valuations for stronger conversations with customers (engage/retain)
  • Reduce reliance on slow and expensive desktop or field valuations
  • Benefit from more granular assessments of climate-related risk to meet regulatory and global guidelines
  • Service and inform policyholders better by understanding assets and their uninsured risk, i.e., threats to land value
  • Produce more informed insurance solutions for customers at a neighbourhood and individual property level, rather than at a generic suburb level
  • Access official local or state government risk overlays for bushfire, flooding, etc.
  • Apply climate risk data to support insurance products that assess the trajectory of property values resulting from repeated/high risk disaster regions.
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Answers to questions big and small

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DaaS / PropertyAITM
technologies

Become a data partner and plug into our data warehouse direct using our API. Engage your customers with live property data generated by our four key machine learning models: Dynamic Valuations, Planning algorithms, Micro-Market Price Index, and Land Economics.

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Data-backed consulting

Work with our multidisciplinary team to blend data sets and create custom responses.

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Individual property reports

Perform due diligence on individual properties. See how we could help you make better decisions faster.