Spotr

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Spotr is an AI-powered property intelligence platform that helps housing associations remotely understand the condition of their homes, and turn data into clear, evidence-led decisions. 

The Regulator increasingly expects landlords to know their homes, and to be able to explain investment decisions with confidence. Spotr collects and provides this necessary evidence. 

What we do

Spotr helps housing providers build a Single Asset View, where all data on a property comes together in one page. That means one joined-up record with the key evidence and insights needed to plan maintenance, manage risk, and prioritise investment. 

We do this by: 

  • Collecting and connecting available data (surveys, repairs, EPCs, damp & mould records, GIS layers and image libraries) 
  • Analysing imagery with AI to extract consistent property attributes and potential defects at scale 
  • Structuring unstructured evidence into signals that are easy to understand and act on 
  • Supporting portfolio-level planning based on property-level evidence 

What we can help you with

Most housing providers don’t have “no data”. 
They have too much data in too many places, and it’s hard to turn that into a plan. 

This becomes urgent because leaders are expected to answer questions like: 

  • Are we spending money on the right homes? 
  • At the right time? 
  • And can we explain why? 

Spotr helps you: 

  • Prioritise planned maintenance based on evidence, not gut-feel 
  • Target stock condition surveys more effectively (especially between survey cycles) 
  • Create a clear view on risk themes 
  • Improve auditability and reporting towards Boards and the Regulator 

Our solution

The reason this can be solved now is simple: AI can collect and structure previously unstructured data at scale. 

Spotr brings that into a practical workflow: 

  1. Onboard your existing data and images 
  2. Create a Single Asset View per home 
  3. Extract attributes and condition signals from imagery consistently 
  4. Apply your policies and thresholds to make decisions explainable 
  5. Roll up to portfolio dashboards to compare scenarios and prioritise works 

This results in a clearer story per home, and a much stronger basis for strategy. 

Benefits of working with us

Working with Spotr helps you: 

  • Move faster without losing defensibility 
  • Target survey capacity better, by focusing on homes with low evidence or high risk 
  • Reduce wasted effort, by using existing data and images you already have 
  • Create one version of the truth, so teams aren’t working from different spreadsheets 
  • Improve compliance confidence, especially between traditional 5-year survey cycles 

Case studies

Clarion 

For Clarion, we processed exterior condition scans of 125.000 properties in one week, to complement traditional surveys and improve portfolio visibility. 

Stonewater 

For Stonewater, we onboarded 130.000 images, taken over the past 5 years across 30.000 properties, and analysed them for property attributes and defects. 
Based on these analysis, survey times could be redirected to homes with old or limited available images, or homes where a higher risk was detected. 

SNG 

With SNG, we are building an AI-supported planning approach to help asset managers decide which homes to invest in, when, and for what reason, and to make those decisions easier to explain at portfolio level. 

 

Who cares? 

Spotr is relevant for multiple roles inside a housing provider: 

  • Asset Managers — to make more data-driven decisions on where to invest 
  • CEOs and Executive Teams — to stay proactive between survey cycles and meet regulatory expectations 
  • CIOs / Data & IT teams — to ensure sensitive information is handled correctly, and that access to data is controlled and auditable