Our software and AI technology platform identifies pathogens and contaminants
in real-time
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 which matter is 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 future development plans include incorporating drones, robots, and channel systems for autonomous and simplified sample collection. New sensors and
technologies can be added to the AI detection system for expanded detection techniques and capabilities. Future development of enhanced power and energy source management and implementation
can also help us expand our capabilities.
Current processes, techniques, and technologies for microbe and contaminant identification take 24 hours to several days. Samples must be obtained without disruption
(cross-contamination) 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 or contaminants 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
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.
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.
