Technology

An integrated sensing, analysis and response platform.

MoldGuard AI connects indoor environmental sensing with cloud processing, risk analysis, alerts, recommendations and future air-treatment automation.

SENSING

Environmental data

The prototype architecture is designed around temperature, relative humidity, CO₂, particulate matter, VOC and NOx measurements, with additional sensing evaluated during development.

INTELLIGENCE

Mold Risk Engine

The initial engine will evaluate measured conditions, duration and trends associated with elevated mold-growth risk. Machine-learning features will only be introduced after suitable data and validation exist.

RESPONSE

Alerts & recommendations

The platform is designed to translate environmental data into understandable risk alerts, historical analytics and practical recommendations.

MoldGuard AI does not claim that the current prototype directly detects mold spores. The system is being developed to identify environmental conditions associated with mold growth and to support preventive action.