⚠️ Prototype website under construction. Content is illustrative and may change. No services are being offered via this site at this time. ⚠️

Smarter Property Documentation
Through AI-Assisted Evidence Capture

Home Forensics AI is a smartphone-first prototype being developed to support structured property issue logging and visual evidence reporting.

It is designed to help users capture clearer, more consistent photo-based records of visible property conditions such as surface damp, mould-like patterns, staining, and other non-structural visual cues.

The platform is not a diagnostic tool, not a certified survey, and not a substitute for a qualified professional inspection. It is intended to support documentation, triage, and escalation by making image capture and reporting more structured and repeatable.

Status: Prototype
Not live. Information may change.
No services are currently being offered through this website.
Get updates (pre-launch)

The Problem

Property issue reporting is often inconsistent, incomplete, and difficult to compare across visits, tenants, contractors, or properties. Photo records are frequently unstructured, poorly labelled, or missing important visual context. This can slow follow-up action and create avoidable friction in maintenance workflows.

Home Forensics AI is being developed to improve the consistency of visual evidence capture and reporting at the earliest stage of issue documentation.

The Innovation Snapshot

DRI (Damp-Related Indicator)
A visual-only indicator designed to flag visible surface patterns that may be relevant for documentation and follow-up.
SRI (Surface Review Indicator)
A visual-only indicator designed to highlight non-structural surface condition cues from submitted images.
These indicators are intended to support structured documentation only. They do not confirm cause, severity, compliance status, or required remedial action.

Who It Is Being Developed For

Home Forensics AI is being developed for housing-related workflows where clearer, more consistent visual issue documentation can help improve early-stage review, record keeping, and escalation.

This includes potential use cases involving housing associations, councils, property managers, landlords, and other teams that need more structured image-based reporting before formal professional assessment.

Why This Matters

Property issue reporting often begins with incomplete photos, inconsistent descriptions, and fragmented records. That can make early review slower, reduce comparability across cases, and create unnecessary friction before the right professional is involved.

Home Forensics AI is being developed to make visual evidence capture and reporting more structured, repeatable, and easier to review.

What the Platform Is Designed to Do

  • Guide users through more consistent photo capture
  • Organise visual evidence into a clearer reporting structure
  • Support early-stage issue logging and record keeping
  • Help users escalate structured information to a relevant professional where needed

What It Is Not

  • Not a certified survey
  • Not a moisture measurement tool
  • Not a thermal imaging tool
  • Not a root cause diagnosis system
  • Not a compliance decision tool