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Disruptive cutting-edge diagnostic platform. (RF + AI = Pathogens fingerprints)



raised from 0 investors


Precise results in under 20 seconds
📜 Patent granted - Proprietary technology based on RF signature & AI modeling
User-friendly and Portable
Can be remotely upgraded with new diagnostic models or for new/different diseases
Approved by ISP - Chilean Health Institute for detection of Covid-19 in nasopharyngeal samples đŸ’Ș
Doesn't require complex laboratory infrastructure, additional accessories, or supplies

Our Team

The world population needs a low-cost method that allows diseases to be diagnosed in a faster and more accurate fashion. Overcoming the current vulnerability to disease outbreaks and the diagnosis of epidemic/pandemic pathogens is our main goal at RadioLife.

Why Radiolife?


  • Information provided herein is for the purpose of fundraising
  • Cube Scan is an Investigational Medical device in all countries other than Chile
  • Claims have not been evaluated by health authorities other than ISP – Chilean Public Health Institute

The Problem: 

The world needs better diagnostics solutions

There’s no readily available test for new diseases and current solutions are heavily reliant on reagents making them slow, expensive, and susceptible to supply chain bottlenecks.

Also, available testing solutions rely on complex laboratory infrastructure or methods that are too expensive to be adopted in mass testing strategies, ultimately leading to a bad patient experience.

To improve the way we do diagnostics, several health-oriented actions are required. A pivotal one is having the ability to detect the presence of a given pathogen with both accuracy and speed, in a cost-effective manner. In order to achieve this capability we need to grant universal access to accurate, affordable, safe, reliable, and most importantly, scalable diagnostic technology which could be used as a point of care device as well as in mass testing scenarios.

Radiolife is developing a fast, accurate, and ​portable diagnostic device called Cube Scanℱ for in-vitro diagnosis of infectious diseases/pathogens.

How it works:

Our recently granted patent is based on Radiofrequency signatures combined with Artificial Intelligence modeling and it is based on the principle of magnetic reluctance, where each sample solution will resonate in a unique way creating a fingerprint that can be captured by a random forest machine learning process.

As an investigational medical device, it has the potential to detect the presence of different types of viruses, bacteria, and cancer cells, since all these biostructures resonate with the wavelengths of harmonic frequencies within the spectrum of our technology. This method was validated for Covid-19 detection with a 99.97% accuracy.

Our team is excited to expand it to other diseases and bring it to the market.

*Validated in a Brazilian Governmental Public Health lab in the state of Espírito Santo and approved in Chile by ISP – Chilean Public Health Institute for nasopharyngeal swab samples. The detection of SARS-Cov-2 in saliva samples was not approved by any Health Authority yet.

Through its capability of being remotely upgradable, CubeScan was designed to last. As new machine-learning diagnostic models are developed by Radiolife's R&D team, a simple and fast download will update your CubeScan to be ready to better diagnose current diseases or the presence of new pathogens, and help humankind to prevent and deter new pandemics.

Forward-looking projections cannot be guaranteed.

Clinical Studies – Lacen Validation

A clinical study was conducted at a Brazilian Governmental Public Health lab in the state of Espírito Santo, which allowed us to improve the analytical performance and achieve an accuracy of 99.77% for SARS-CoV-2 detection. Clinical performance was validated in a double-blind test with a large number of samples (n= 1,357), which were tested in parallel with SARS-CoV-2 specific RT-PCR kits

ISP Approval of CubeScan

Chilean Health Institute approval for detection of Covid-19 in nasopharyngeal samples