About
OMGenei.AI develops Large Behavioral Models (LBMs) that predict human behavior in real-world scenarios. Our triple-patented models predict the next action by having a core understanding of human decision making. We are the first company that successfully trained AI on a combination of 1 million individuals’ genetic markets, 1 billion unique psychological phenotypes, and 50,000 complex real world scenarios, enabling us to decipher hidden behavioral drivers data and forecast future outcomes. This technology forms a new behavioral intelligence layer for organizations operating in human-based environments, including but not limited to capital markets, consumer behavior, defense, longevity, mental health and more. Our products are used by both commercial and governmental organizations. Established by a team of 20+ PhDs, experts in AI, and serial entrepreneurs.
Funding history · 1 round · $5.0M total
Company Intelligence Q&A
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- When was OMGene AI founded?
- OMGene AI was founded in January 2022.
- What is OMGene AI's primary focus?
- OMGene AI develops Large Behavioral Models (LBMs) that predict human behavior in real-world scenarios, utilizing triple-patented models.
- How much funding has OMGene AI raised in total?
- OMGene AI has raised a total of $5,000,000 USD.
- When did OMGene AI complete its Seed funding round and who was the lead investor?
- In May 2024, OMGene AI completed a Seed funding round with Infinity Group as the lead investor.
- What is the employee count for OMGene AI?
- OMGene AI has 20 employees, falling into the 11-50 employee bucket.
- In which geographic markets does OMGene AI operate?
- OMGene AI operates in the geographic markets of Israel and the United States.
- What types of organizations use OMGene AI's products?
- OMGene AI's products are used by both commercial and governmental organizations.
- What is the primary sector of OMGene AI?
- OMGene AI's primary sector is Health Tech & Life Sciences.
- What technologies does OMGene AI utilize?
- OMGene AI utilizes technologies such as Biologicals, Genes, Artificial Intelligence, Machine Learning, Deep Learning, Platforms & Interfaces, Mobile, Web, and API.