Nayya raises $11 million in a series A round led by Felicis Ventures

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With unwavering assistance from all initial investors, including Social Leverage, Guardian Life, one of the biggest mutual life insurance firms in the US, and Cameron Ventures, Nayya, the top marketplace for managing insurance advantages, recently revealed that it has locked an $11 million Series A round of funding. Felicis Ventures served as the round’s lead investor. With a venture investment from the Fortune 500 insurance firm that insures 39 million Americans, Unum Business Ventures also participated in the round. nayya ai 11m felicis ventureswiggersventurebeat.

Nayya uses billions of datasets from the healthcare and insurance sectors to simplify the benefits selection process and assist customers in selecting and utilizing the best-customized benefit plans all year long. Insurance companies including Guardian, Unum, and American Public Life, benefit administrator Selerix, and several large employers are just a few of Nayya’s clients and collaborators. Additionally, Nayya has partnerships with several of the top ten brokerage companies in the nation, including the top consensual perks branch of Acrisure.

“The advantage selection still lacks consumer-specific customization and is overwhelming and perplexing” said Victoria Treyger, managing director and general partner at Felicis Ventures. We are overjoyed to support the Nayya team, whose game-changing advantage platform satisfies this pressing consumer need and enables enterprise clients to create cutting-edge benefit solutions for every stage of life.

Sina Chehrazi, CEO and co-founder of Nayya, said, “Selecting the correct insurance can be a complicated and expensive process, particularly with increased concerns and health risks brought on by the pandemic.” “Our investors are aware of Nayya’s technology’s potential to harness the enormous amount of data created by the healthcare and insurance sectors. We can identify and administer plans that best meet individual requirements by utilizing AI and data science, while also returning money to American households during the remainder of the year when they most need it.”              

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