Flagship AI-assisted triage

AI Damage Analyzer

Upload a photo of the damage — or try a sample — and get an instant AI report: what it is, how serious it looks, what to do next.

Free · No signup · ~60 seconds

Upload photos that tell the story

Aim for one wide shot, one mid shot, one close-up of the worst area, plus a source-area photo if safe. Tag each photo so the AI knows what it's looking at. Avoid faces, mail, or anything personally sensitive.

Photo coverage checklist

Wide shot of the room
Mid shot showing damage in context
Close-up of the worst area
Source area (if safe)

What type of damage?

Room or area

Time since event

Water source

What do you see? (select all that apply)

Live AI photo analysis

Try it on a sample photo first

No upload needed. Tap a sample to replay a real Claude vision analysis of a bathroom water-damage event — watch the scan sweep each photo, then get annotated findings, IICRC category hints, safety flags, and a 3-horizon action plan.

How the AI reads your photos

Triage and documentation, not an inspection. Here is exactly what happens between upload and report — and where the hard limits are.

What photos give the AI the most signal

Start with one wide shot of the full room, one mid shot showing where the damage sits in context, and one close-up of the worst area. If the source is visible and safe to photograph (the leaking fixture, the pipe, the open ceiling), add a fourth image of the source area. Tag each photo as wide / mid / close-up / source — tagging gives the AI better grounding and produces more useful per-image findings. Better lighting and context improve confidence more than more photos do.

What happens during the 15–30 second scan
  • Upload 3–8 guided photos or play the bundled sample analysis
  • Tag each photo as wide / mid / close-up / source for better AI grounding
  • Answer fast context questions about the event and what you see
  • Watch real Claude vision streaming with named progress phases
  • Get annotated findings, IICRC categories, safety flags, and a 3-horizon plan
  • Export a premium PDF or email a copy to a spouse, landlord, or adjuster

The named phases you watch — reading each photo, identifying damage categories, checking safety flags, building the action plan — mirror the actual structure of the streamed Claude vision analysis.

Why this feels different from a generic chatbot
  • Photo observations are separated from interpretive inferences.
  • Explicit "what cannot be confirmed by photo" language on every category.
  • Safety flags use deterministic rules even when AI confidence is low.
  • Urgency triage cites EPA, CDC, and FEMA guidance for time-sensitive decisions.
  • IICRC S500 water category and S520 mold remediation frameworks encoded in the prompt.
  • No mold confirmation, no structural verdict, no cost estimate — triage only.
  • Images are analyzed server-side via Anthropic Claude Sonnet vision and are not stored after analysis.
What the AI will never claim

It will not confirm mold species, structural safety, insurance coverage, asbestos presence, or the exact contamination category from photos alone. Photo-based analysis cannot see hidden moisture inside walls, sub-floors, or insulation — that requires a moisture meter and infrared camera on-site. Every category hypothesis ships with explicit "what would increase confidence" notes so you know what still needs hands-on confirmation.

Privacy and data handling

We do not collect your submitted data for marketing. Images are analyzed server-side via Anthropic and are not stored on our servers after analysis. Anthropic states that API inputs and outputs are automatically deleted within 30 days. Past-analysis history (headlines and small thumbnails) lives in your browser localStorage only — never uploaded to our servers. This tool is built for personal planning use, provided by Palm Build (palmbld.com) and built by Nine Lives Development (ninelives.dev).

Common questions about AI damage analysis

Is this an inspection?

No. This is a visual triage tool that identifies visible patterns in your photos and produces a structured next-step plan. It does not replace a professional inspection, moisture survey, mold test, or structural assessment.

Can AI tell if my wall has mold from a picture?

It can identify visible spotting, staining, and discoloration patterns consistent with possible mold growth — but it cannot confirm mold species, distinguish mold from dirt or mineral deposit in many photos, or detect mold hidden behind walls. Surface testing or air sampling is required for confirmation.

How accurate is AI water damage detection from photos?

For visible signs (staining, bubbling paint, warping, water lines, active moisture, spotting) accuracy is typically high when photos are well lit and include both wide context and close-up detail. For hidden moisture inside walls, sub-floors, or insulation, photos cannot detect anything — you need a moisture meter and infrared camera on-site.

Will my insurance accept an AI damage report?

This report is a documentation aid, not a claims determination. It can help you organize evidence, capture the right photos, and prepare questions for your adjuster — but it is not a substitute for an adjuster inspection or a certified damage assessment. Insurance carriers make coverage decisions based on policy language and field findings.

What photos do I need for a damage assessment?

Start with one wide shot of the full room, one mid shot showing where damage sits in context, and one close-up of the worst area. If the source is visible and safe to photograph (the leaking fixture, the pipe, the open ceiling), add a fourth image of the source area. Better lighting and context improve AI confidence more than more photos do.

How long after water damage does mold grow?

EPA and CDC guidance say mold can begin colonizing damp porous materials within 24 to 48 hours of water exposure. The AI Damage Analyzer surfaces a live mold-prevention window countdown based on the time since your event so you know whether you are still inside the prevention window or planning for remediation.

Can I tell black mold apart from regular mold in a photo?

No. Visual color is not a reliable indicator of mold species — many non-toxic molds appear dark, and Stachybotrys chartarum (the species commonly called "black mold") cannot be confirmed without lab testing. The AI will flag visible spotting consistent with possible mold but will never name a species from a photo.

What is an IICRC water category?

IICRC S500 (the industry standard for professional water damage restoration) classifies water by contamination level: Category 1 is clean water from a sanitary source; Category 2 is grey water that may contain contaminants; Category 3 is black water that is grossly contaminated (sewage, flood water, water sitting longer than 48–72 hours). The category drives PPE, demolition decisions, and reusable-vs-disposable scope.

More questions

Should I clean up sewage water myself?

CDC guidance recommends against unprotected DIY cleanup of sewage or flood water because of bacteria, viruses, parasites, and chemical contaminants. If you must enter the area, wear waterproof boots, gloves, eye protection, and an N95 respirator at minimum. The AI Damage Analyzer fires a deterministic contaminated-water safety flag when you select sewage or flood water as the source.

How is my data stored?

Images are sent to the Anthropic API for analysis and are not stored on Palm Build servers after the analysis completes. Past-analysis history (headlines and small thumbnails) is stored in your browser localStorage only — never uploaded to our servers. Anthropic states that API inputs and outputs are automatically deleted within 30 days.

How does the live mold-window countdown work?

When you tell the tool how long ago the water event happened, we map that to the EPA 24–48 hour mold-prevention window and show a live ticking countdown of how much of the window remains. The countdown turns amber when you are inside the second half and red when the window has been breached.

Can I export and share this report?

Yes. Every Palm Build tool is designed to produce a polished PDF and an email-friendly summary so you can share it with a spouse, landlord, property manager, insurer, or adjuster.