Oma Fertility vs Humata Health
Side-by-side comparison of AI visibility scores, market position, and capabilities
Oma Fertility operates affordable mini IVF clinics using a lower-stimulation protocol that reduces medication costs and side effects, making IVF accessible to more patients.
About
Oma Fertility is a fertility clinic company founded in 2019 that operates a network of fertility clinics using minimal stimulation IVF (mini IVF) as a primary treatment approach, offering IVF at significantly lower cost than conventional high-stimulation protocols. Mini IVF uses fewer and lower doses of fertility medications, reducing medication costs from $3,000-5,000 to a fraction of that amount while also decreasing the risk of ovarian hyperstimulation syndrome. Oma pairs this lower-cost clinical model with efficient clinic operations, transparent pricing, and subscription plans that make ongoing IVF cycles economically sustainable for patients who might otherwise not afford conventional IVF. The company has raised $40M and operates multiple clinic locations primarily in the Midwest and Southeast United States, targeting the large population of fertility patients who are priced out of conventional IVF at $20,000+ per cycle. Oma Fertility has positioned itself in the value segment of the fertility clinic market, complementing premium networks like Kindbody by serving cost-conscious patients who prioritize affordability and accessibility over premium clinic amenities.
Raised $25M (Blue Venture Fund, Optum Ventures, Highmark Ventures). 225+ hospitals. ML recommends which clinical documents to include in prior auth submissions, reducing denials before submission.
About
Humata Health is a prior authorization AI platform serving the provider side of healthcare — helping hospital systems optimize their prior authorization submissions to reduce denial rates before claims are ever sent to payers. The company has raised $25 million from Blue Venture Fund, Optum Ventures, and Highmark Ventures, and is deployed at 225+ hospitals. Founded by an MD, the platform applies ML to recommend the specific clinical documentation that each payer's prior authorization algorithm weights most heavily.
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