AI-Powered Mould Intelligence · Australia
See what your home is growing.
Point your camera at a suspect wall. In sixty seconds, Mould Detect reads the risk, explains it in plain language, and shows you what to do next.
SYDNEY · 11:09 · CONDITIONS: READING
1 in 2
Australian homes report mould or dampness
$28B
Annual asthma-related health costs in Australia
60 sec
From photo to plain-language risk read
Launching in Australia to prove the approach · the UK next, then Canada and the US
The process
AI enabled insights in your pocket.
DETECT · DOCUMENT · DESTROY
Scan
Open the app and frame the area. Our vision model reads texture, spread and staining that a checklist can't.
Understand
A calm, plain-language read of what's growing, how serious it is, and what's feeding it. Ask the mycology AI anything.
Resolve
Reports formatted for landlords and insurers. Vetted remediators and natural, non-toxic treatment guidance when you need them.
From photo to action
Your phone. Sixty seconds. A next step you can act on.
One photo becomes four readings: likelihood, risk rating, confidence score and a recommended next step. Every reading opens a path you can take immediately: learn, ask the AI, order a lab test, or book a certified remediator.
Inside the app
An AI that shows its working.
Two things you will not find elsewhere: computer vision that shows its evidence, and an expert you can question until the answer makes sense.
See where the AI looked.
Every scan comes with an attention map showing exactly which parts of your photo drove the reading. No black box: you can check the evidence against your own eyes.
Ask until you understand.
Miss Mould, our AI mycologist, answers in plain language from a reviewed knowledge base and shows her sources. In the web app, share your location and she can also explain today's weather and this week's mould risk for your area, naming where the numbers come from. It is decision support from outdoor conditions, not an inspection: she tells you when a professional should take over.
Know which genus you are dealing with.
Thousands of mould species exist, but only a fraction are allergenic, pathogenic or toxigenic. Our experimental Mould Genus feature suggests which genera your photo is most consistent with, so you can judge urgency sooner; laboratory testing then confirms it. Developed with the kind support of Joseph Langford, Principal Scientist, Civil and Domestic Environmental Sciences.
Built · Shipped · Live
The ecosystem behind every sixty-second read.
Five AI models, a live environmental data platform and three shipping applications feed one AI Vision engine, hosted in AWS and built with Cloud Assembly through the AWS Partner Program Startup Accelerator. Miss Mould AI reads local weather and mould risk from the same platform, through our Mycelium MCP server, when you share your location.
AI Vision training data sources
- 1,249high-quality macroscopic and microscopic images from the OpenFungi dataset
- 50,000+training images
- 6mould genera, lab verified
Who it's for
Built for everyone who lives with walls.
FAMILY HEALTH · TENANCY EVIDENCE
Homeowners & Renters
Peace of mind in your pocket. Scan the risk areas of your home, know what your household is exposed to, and document evidence to improve discussions with landlords.
JOIN THE EARLY ACCESS
MULTI-PROPERTY MANAGEMENT
Specialists
Rapid triage, reporting and workflow for inspectors, remediators, builders, cleaners, plumbers and environmental health experts.
BUILT FOR YOUR WORKFLOW
SITE ASSESSMENT · CHAIN OF EVIDENCE
Occupational Hygienists & Laboratories
Consistent, location-tagged capture in the field. Structured records that support sampling plans, laboratory analysis and defensible reporting.
ECOSYSTEM PARTNERS
Why Mould Detect
Cutting-edge AI vision, trained on tens of thousands of images.
Macro footage zooming into a mould colony until individual spore structures are visible.
Early risk assessment. A lab test can take days or weeks; understand the risks sooner. Mould Detect is not a replacement for lab testing, and we will always recommend following up with a lab test.
Trained on real world data. Computer vision built in collaboration with mycological labs and mould remediation professionals.
Documentation that stands up. Reports formatted for cleaners, building inspectors, mould remediation specialists, property managers, landlords and insurers.
Natural and kind to the environment. Guidance favours proactive and preventative natural, non-toxic solutions and treatment first.
AI VISION
A neural net trained to detect details the human eye often does not notice.
The diagram illustrates the activation sequence of neurons across layers of the Convolutional Neural Network (CNN).
Mould Detect runs two kinds of AI Vision: a fast detector that answers mould or no mould, and a genus classifier that names which of six genera it is looking at. They learned from open datasets such as OpenFungi and a dedicated genus collection built with our lab partner, and only laboratory-confirmed images are allowed to test them. The answer arrives on the spot: which genus, and how confident.
AI AND AGENT FIRST
Our data is built for AI agents as well as people.
Agent First is how Mould Detect now builds its APIs and data infrastructure. Each data service we publish, from the mould growth index to weather history, flood forecasts, air quality and the photo check, is also a tool an AI agent can find, call and cite.
Mycelium Network is that layer: one MCP server for Claude, ChatGPT, Cursor and your own agents, a terminal agent called Mycelium CLI, and docs written for machines as well as developers. Every answer carries its sources and licence notices.
The data platform
Growing conditions, right now.
Mould does not wait for an inspection. This is what our models read for your city: the seven-day risk outlook, the humidity trend behind it, and the hours worth opening a window, drawn from the Mould Detect data platform.
Know before it grows.
Early access is opening city by city across Australia. Leave your email and be first through the door.