Gyni is a multidisciplinary AI system. It is comprised of:

A Smart sampler - for vaginal discharge sample collection and preparation.

A Scanner - an automated microscope that scans the sampler’s cassette.

A user interface website, and

A Cloud based, machine learning algorithm, trained by a unique archive of 12,000 screened & classified vaginitis conditions images.

Gyni imitates the line of thought of vulvovaginal disorder experts making their level of diagnosis available to non expert operators, it does so by combining different inputs: Patient reported complaints, Image analysis of microscopy images and pH reading.

Gyni received a CE mark and complies with ISO 13485 medical device standards to provide the highest standard of safety, security, and transparency.