Primordial AI
About Primordial AI
Primordial AI utilizes a proprietary platform that integrates 500+ multi-omics datasets and evolutionary genomic data to identify and rank Master Regulator Gene Drug Targets for major diseases. This approach addresses the challenge of inefficient drug target discovery by providing functionally validated algorithms that enhance the precision and effectiveness of next-generation drug development.
```xml <problem> Traditional drug target discovery is inefficient, often yielding targets with limited efficacy or unforeseen side effects. Existing methods struggle to translate insights from diverse biological datasets into reliable, functionally validated drug targets. </problem> <solution> Primordial AI offers a platform that integrates multi-omics datasets and evolutionary genomics to identify and rank master regulator gene drug targets. By analyzing data from over 500 proprietary multi-omics datasets and 240+ mammalian species, the platform uncovers evolutionarily validated drug targets. The AI translates bio-mechanisms across species, leveraging 100 million years of evolutionary data to enhance the precision and effectiveness of drug development. Functionally validated algorithms identify and rank influential drug targets, providing a comprehensive genetic map for mammalian and human metabolic control. </solution> <features> - Integration of 500+ proprietary multi-omics datasets, including a novel cis-element atlas. - Analysis of 240+ mammalian species genomes and phenotypes. - AI-driven translation of bio-mechanisms across species to predict human responses. - Identification of 373,000+ gene variant-trait associations. - Mapping of 120,000+ drug-gene interactions. - Functionally validated algorithms for drug target discovery and ranking. - Phenotypic ranking that matches gene targets to phenotypic effects. - Biologic ranking that identifies biologically influential drug targets. - Proprietary gene mechanisms and pathways for optimal therapy intervention (Primordial Genetic Recipes). </features> <target_audience> The primary audience includes pharmaceutical companies, biotechnology firms, and research institutions involved in drug discovery and development. </target_audience> ```
What does Primordial AI do?
Primordial AI utilizes a proprietary platform that integrates 500+ multi-omics datasets and evolutionary genomic data to identify and rank Master Regulator Gene Drug Targets for major diseases. This approach addresses the challenge of inefficient drug target discovery by providing functionally validated algorithms that enhance the precision and effectiveness of next-generation drug development.
Where is Primordial AI located?
Primordial AI is based in Salt Lake City, United States.
When was Primordial AI founded?
Primordial AI was founded in 2024.
Who founded Primordial AI?
Primordial AI was founded by Jeff Barson.
- Jeff Barson - Co-founder/CEO
- Location
- Salt Lake City, United States
- Founded
- 2024
- Employees
- 3 employees