Phenometrix has developed FaceCode™, an advanced Facial AI phenotyping technology based on computer vision and machine learning that captures, structures and analyzes complex human physiological and psychological data to produce actionable personality insights. Phenometrix database includes an unprecedented depth of phenotypic and genotypic information derived from the genome-wide association study (GWAS) to associate specific genetic variations with particular traits. The method involves scanning the genomes from many different people and looking for genetic markers that can be used to predict the presence of a trait.   This has been tested in thousands of real-world use cases.

We offer a private and secure highly scalable cloud-based solution that integrates our interpretation systems through a set of open APIs providing an organization or company unprecedented insights to predicted human behavior.

Machine Learning and Computer Vision

Our machine learning algorithms build personality-specific computational-based markers while proprietary technology converts a candidate photo into de-identified mathematical facial markers (facial descriptors).  The candidate’s facial descriptors are compared to marker sets to quantify similarity resulting in a prioritized list of character traits with similar morphology. Artificial intelligence then suggests likely phenotypic traits and genes to assist in feature annotation and syndrome prioritization.