Germany
The inne System uses a saliva test to detect changes in progesterone levels for an accurate fertility window.
Tracking ovulation by monitoring hormone changes can help find the fertility window and increase the chances of becoming pregnant. The traditional way to do this is by regularly using ovulation test strips that detect the levels of luteinising hormone (LH) found in the woman’s urine.
The biotech startup inne has found a way to make ovulation testing more convenient with the world’s first at-home fertility monitoring system using saliva. The system uses a device called the inne reader and saliva testing strips. Replacement strips are shipped every three months with an active subscription.
For accurate results, the test should be done within the same three-hour window every day, between 5am and 2pm. The strip is placed on the tongue for 30 seconds and then placed into the reader. The strip is a unique design that utilises lateral flow technology – Something many people have come to learn about due to this type of testing being used in rapid covid testing. The reader analyses the progesterone in the saliva sample using AI image analysis to predict the day of ovulation.
Results are transmitted directly to the inne app, where an easy to understand dashboard displays the fertility window, ovulation day, and hormonal fluctuations. It provides personalised messages based on the data and additional symptoms and offers advice. The app teaches the user how to read their cervical fluid and to look for patterns over time for a better overall picture of the user’s reproductive health.
The saliva test is sensitive and able to detect tiny changes in progesterone concentration for results that were once only available at a lab. Currently, the inne minilab is only available in Germany, Sweden and the United Kingdom, with plans to expand the service to other countries in the future. Inito is another startup using hormone testing to help find the fertile window. Their fertility monitor is a small device that mounts onto the user’s smartphone and displays results via a mobile app.
Website: https://www.inne.io/en/home/
Email: support@inne.io
