Turn Data into
Genomic Insights
Discover the future of rare disease diagnostics with our AI-driven variant interpretation platform and get answers for your most complex cases at scale.
Trusted by the world’s leading genomics institutions
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Let genetic testing labs focus on where they matter most
Our platform enables genetic testing labs to give more people with genetic diseases a clear and fast diagnosis.
Automated Variant Interpretation
Our AI-driven variant interpretation platform AION automatically identifies likely pathogenic variants in less than 2 minutes.
Why AION?
AION allows you to confidently scale your genomic sequencing operations by tackling the interpretation bottleneck
Fast & Automated interpretation
AION provides an interpretation for an exome in less than 2 minutes. Additionally, a comprehensive report, as well as a result export, are generated automatically.
White-box Approach
We believe that every AI prediction needs to be verifiable by a human expert. Hence AION provides insights into the how and why variants were classified and prioritized.
Accurate Decision Support
Our unique AI-based platform provides accurate and reliable decision-support that outperforms rules-based ACMG classification by more than 50%
Introducing AION
AION helps you speed up large parts of your variant interpretation, focus on very complex cases, and grow sustainable business operations.
Making a difference
With our easy-to-use platform AION, we are changing the way labs can interpret genetic test results. So patients can get fast and accurate insight.
AION automatically identifies likely pathogenic variants in less than 2 minutes.
>50%
AION can improve diagnostic yield by more than 50% compared to a rules-based ACMG classification.
AION is based on a vast, regularly updated and extended database containing >100 annotations.
Want to know more?
Contact us!
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Want to know more?
Contact us!
*Nostos Genomics regularly produces webinars, white papers, and other types of content that you may find valuable.
You can unsubscribe at any time. For more information view our Privacy Policy.