Applications

From Complex Diagnosis to High-Volume Screening

eVai provides a dual-engine approach, seamlessly transitioning between Hypothesis-Driven diagnoses for rare diseases and Hypothesis-Free efficiency for population-scale screening.

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Fastq or VCF from  WGS, WES & Panels
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SNVs, Indels, CNVs,  STR, ROH, SV
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Nuclear & Mito DNA from GRCH37 and 38
E Vai hypothesis driven diagnoses

Hypothesis Driven Diagnoses

Our AI-powered Suggested Diagnosis leverages clinical information to rank variants based on their probability of being disease-causing, identifying the most likely genetic diagnosis for the patient.

Users can easily evaluate how phenotypes, inheritance fit, and pathogenicity impact the clinical score, including the direct overlap between patient and gene-associated phenotypes.

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E Vai sample matcher

Hypothesis Free Screening

For each variant, eVai applies international guidelines to pre-classify variants according to their pathogenicity. This standardized approach enables the efficient analysis of hereditary risk screening.