Kairos

Kairos is a leading face recognition AI company with a commitment to ethical identity solutions. They offer a suite of instant identity verification solutions, built on deep learning and computer vision, that can be integrated into any business's software via their API. They are particularly focused on combatting fraud and ensuring age verification for a variety of industries. Kairos is known for prioritizing an inclusive AI ecosystem with unbiased algorithms, promoting diversity and fair pricing for developers and customers.

Kairos was founded in 2012 and is headquartered in Miami, Florida with offices in Singapore. They are a venture-backed company with investors including 500 startups, Backstage Capital, Kapor Capital, and New World Angels. Their products have been recognized by Gartner as a "Cool Vendor," demonstrating the trust and confidence they have built with businesses worldwide. Kairos' dedication to ethical practices and accessible solutions has made them a pioneer in the face recognition AI space.

Kairos is a leading AI company committed to building an inclusive ecosystem with unbiased algorithms for identity verification. They strive to provide secure, private, and ethical solutions for both businesses and individuals, empowering a more inclusive and trustworthy digital world.

Kairos promotes a culture of ethical innovation and inclusivity. They are committed to developing unbiased AI algorithms that treat all users equally. The company values transparency and fairness, not just in their pricing model, but also in their approach to AI development. They actively address data skewness to ensure their technology is representative of various ethnicities, genders, and age groups. This commitment to ethical AI reflects a culture that prioritizes fairness, diversity, and responsibility.

Kairos is committed to an inclusive AI ecosystem with unbiased algorithms, ensuring equal and dignified treatment for all. They recognize the critical nature of diversity bias in AI and actively address data skewness by curating diverse datasets that are representative of various ethnicities, genders, and age groups. This commitment to diversity, equity, and inclusion is not only a moral imperative but also crucial for creating a robust and accurate AI system.