First, we collect samples from indoor or outdoor environments and set them up for identification using our AI detection system.


The AI then evaluates the sample using live-feed cameras and image recognition technology to detect and identify any potential micro-organisms and contaminants contained within the sample. The evaluation can be made within seconds to minutes.


After identifying, we can clean and treat environments with a non-toxic and natural rhamnolipid biosurfactant. Rhamnolipid is registered with the Florida Department of Environmental Protection and the United States Environmental Protection Agency.

We are a pathogen and contaminant detection company utilizing software and hardware applications, machine learning, artificial intelligence, and non-toxic rhamnolipid biosurfactants. We are a team of environmentally conscious individuals who want a cleaner and safer environment, free from pollution, contaminants, harsh and toxic chemicals, and outbreaks. We are passionate about creating a healthy and thriving planet for all its inhabitants.

Our goal is to identify and detect contaminants and pollution quickly so outbreaks, spills, and contaminants can be reversed before more harm is done to our communities and the environment.

There is a concerted effort to reduce our carbon footprint, use non-toxic technologies, and reverse pollution in the environment. We strive to include those goals into our products and business practices. Our products and services are non-toxic and use little-to-no carbon producing material. We also try to implement renewable energy sources whenever available.


Outsmarting the Smartest Pathogens

Our software programs, combined with Artificial Intelligence and Machine Learning algorithms, identify micro-organisms and contaminants.

Our method is highly accurate, cost-effective, and provides results in real-time using imaging feeds. In contrast, current sample testing requires a sample to be sent to a lab with turnaround times of 24-48 hours.

When detection occurs, we can remediate with Rhamnolipid and a blend of “ Biosurfactants ” with specific ratios of Mono-rhamnolipid to Di-rhamnolipid, their dilutions, and carriers. With this method, residual toxic effects on environments are limited or completely negated.

AI Detection Process


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Since 2020, has filed patents and assets which were developed to detect bacteria, algae and protozoa in real-time, as part of a company vision to remediate the presence of contaminants, biohazards and pathogens in a wide variety of environments.

On August 15, 2022, is pleased to announce it has currently completed the alpha stage of detection in real time, and collecting data for its software and artificial intelligence (AI) applications in real world environments. intends to enter its Beta testing phase late 2022, and is currently accepting applications for a limited number of Beta test environments.

For more information on or to inquire about applying for Beta testing in your environment, please contact Alyssa Cruz from our contact page