Changing the future of chronic illness with the power of data.

Celie is an unsupervised machine learning model who searches for patterns in chronic illness symptoms.

 She matches people with similar illness profiles so they can compare notes, without relying on a previous diagnosis. 

She provides analysis of symptom groups so users can see what interventions worked best for other people like them. 

And she generates high-quality datasets for research teams who want to learn about understudied chronic illnesses.

Be part of Celie’s first cohort

Celie is still under development, but we are looking for people with chronic illnesses who would like to be part of her first dataset. Fill out the form to stay in touch and get updates on Celie’s progress.