Developed by a team of specialists from Massachusetts General Hospital, Harvard Medical School, and Academia Sinica in Taiwan, the Allis Gluten Sensor is the world’s first personalized gluten sensor.
Our science uses antibodies and a special electronic reader to measure the gluten in foods in under two minutes. If connected to the Allis app via Bluetooth, the sensor can upload the results to the cloud, enabling the calculation algorithm to provide personal gluten ingestion suggestions.
We value the importance of peer recognition in the field. Our work has been peer reviewed and published in ACS Nano, one of the most renowned scientific journals in materials science.
Advanced extraction technology –
Faster and safer extraction of gluten in food samples.
Novel nanotechnology –
A quick and sensitive method for detecting gluten concentrations.
Data science –
A personal database for individuals.