AI Process

Our software and AI technology platform identifies micro-organisms and contaminants on indoor and outdoor surfaces and in water and soil.

Our system works through several simple steps. The AI system is first trained on various micro-organisms and contaminants. After proper training, we can provide a sample to the AI for evaluation using a high magnification microscope and a live-feed camera. The AI then evaluates, labels, and classifies whichever contaminants or micro-organisms are selected for detection. We gather the AI's results and provide it to our clients. 


The software consists of several independent platforms and algorithms that manage and learn through machine learning, artificial intelligence, tagging, and labeling. Much of the system and data are proprietary and custom-built.

Our intellectual property portfolio has many different families of software applications, hardware applications, methods and components. Several patents for artificial intelligence and machine learning are pending, including future nano-technology and hardware applications.

Our future development plans include incorporating drones, robots, and conveyor systems for autonomous and simplified manual sample collection. New sensors and technologies can be added to the AI detection system for expanded detection techniques. Future development of enhanced power and energy source management and implementation can also help us expand our capabilities.

Current Micro-Organism Detection

ai Current processes, techniques, and technologies for microbe and contaminant identification take 24 to 48 hours. Samples must be obtained without disruption (tainting) and transported to a lab. The time between the moment the specimen is collected and the final result depends on the sophistication of equipment used and the expertise of the humans involved in the process.

It could be a week before harmful and contagious pathogens are discovered. Most of that time is devoted to incubating the microbes in a petri dish, a requirement for current detection techniques. Our system cuts down that time drastically

The future of micro-organism detection

ai How do we obtain micro-organisms and matter without contaminating the sample or exposing the end-user to harmful matter?

As part of our future development goals, we are working on several technologies to enable sample collection using a remote and automated system. Once the sample is obtained, a drone or robot places the sample on a transport system that brings the sample to the AI detection area.

Global Virus Network ("GVN")

ai The best way to increase accuracy is through a high number of samples. Our application can utilize millions of data points to ascertain the singular form (and clusters thereof) of microbes, contamination, and matter from pictures and other sensors. Our data is proprietary, and our training sets are unique. The more information we have, the more accurate the system becomes.

With increased amounts of continuous data, we can track contaminants and outbreaks over time and throughout the environment, providing valuable information that will tell us the epicenters of outbreaks and where they're headed. In the coming years, data from our collections can be used to create a Global Virus Network ("GVN") for the early detection of outbreaks and contaminants.

AI Videos

Project Claire in action. Contaminants in drinking water.

Project Claire in action video #2. Contaminants in drinking water.