Non Invasive Glucose Measurement
Revolutionizing wellness through non invasive technology that can measure blood glucose levels, oxygen saturation and heart rate accurately and affordably using light.
Our Technology

Near Infrared Spectroscopy
Spectroscopy is a branch of physics that deals with the electromagnetic radiation that is absorbed, dispersed, reflected and transmitted by matter. It can be used to analyze different components that can’t be identified or studied through simpler visual processes. We use Near Infrared Spectroscopy to identify the energy footprint of glucose and other biochemical analytes.

Computer Vision
Computer vision is a field of Artificial Intelligence, which uses self-training Machine Learning algorithms (specifically Deep Learning or Neural Networks) to enable computers and systems to derive meaningful information from digital images, videos and other visual inputs. We use Computer Vision to identify glucose levels in live tissue images by processing the image under different parameters.

Recommendation Engine
Recommendation Engines are an application of Machine Learning algorithms that allow to discover trends within relatable data sets. Once we have identified and organized data from our users and their glucose level readings, we correlate their values with external data sets that provide us with the possibility to generate health recommendations according to user preferences and lifestyles.
Invest in your health
Help us create a healthier future.
Prediabetics in the U.S.
96 million adults in the U.S. have pre-diabetes (1 in 3) and may develop a serious condition, furthermore, studies estimate that 8 out of 10 pre-diabetics don’t know they may develop a severe condition. All of them could benefit greatly from easy to deploy prevention models.
Diabetics in the U.S.
As of 2021, there were more than 37 million people in the U.S. with diabetes (1 in 10) however, it is estimated that close to 10 million people may be undiagnosed and unaware of their condition. With simple and regular blood glucose monitoring, the numbers could decrease over time.
Diabetes Related Healthcare Expense
According to the International Diabetes Federation, the healthcare cost associated to diabetes is estimated at a minimum of $966 billion dollars per year. If more accesible prevention devices were to be implemented, the cost could decrease drastically.
Diabetics by 2030
It is estimated that 643 million people in the world will have diabetes by 2030, that number is expected to rise to 783 million by 2045. We are in urgent need of massive prevention campaigns through improved glucose measurement.
Credentials and Validations

Startup World Cup 2022 – Pegasus Ventures
Top 10 finalist in the Startup World Cup 2022 – organized by Pegasus Ventures – out of 15,000 startups around the world.

Softeq Venture Studio 2022
Participated in Softeq’s Venture Studio for the 2022 cohort in Houston, TX, and partnered up with them for technology development.

Mexico City’s Science and Technology Department
Categorized as a strategic project for Mexico City’s Science and Technology Department.

Mexican Social Security Institute
Joint validation protocols with the Mexican Social Security Institute for glucose identification.

Mexico City’s Health Department
Validation protocols with Mexico City’s Health Department for glucose measurement.

Mexican National Institute of Nutrition
Validation protocol with the Mexican National Institute for Medical Sciences and Nutrition for glucose observation.

Mexican National Science and Technology Council
Project selection and funding by the Mexican National Council for Science and Technology.

National Metrology Center
Validation protocol with the Mexican National Metrology Center for observing diluted glucose.