Photo of two women with illustrated 'bounding boxes' over their faces symbolizing face detection

Misidentification of people based on ethnicity, gender, and age plagues the facial recognition industry, and it’s a continuing mission of ours to fix this problem.

 

From our 2012 inception, Kairos has licensed much of its core technology from other innovative AI vendors. By adding our own sizzle to it, we saw impressive adoption from businesses and developers, all around the world. However, it was always our vision to create our own.

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Abstract illusration on a computer server, symbolizing on-premises technology

New Kairos self-hosted face recognition API is designed to address critical privacy and security needs of Enterprise customers without sacrificing performance or the user experience.

 

We’ve always believed in the power of APIs. In fact, we were one of the first commercial Face Recognition APIs on the market back in 2013.

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Chart of face recognition accuracy FAR, FRR, EER and Thresholds

 

Picture this: You want to bring the innovation of face recognition to your business, you excitedly sign-up for a free API key with Kairos, you start testing, and…well, you find yourself scratching your head at the results.

 

You’ll be pleased to hear you are not alone. And we’re here for you. This article gives you a seriously thorough guide to getting the most out of Kairos face recognition, and explains how— with some simple tweaks of a concept called thresholds— you’ll be rubbing your eyes in amazement in no time.

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Dr. Stephen Moore, Kairos CSO

 

A strong scientific discipline is key to the success of any AI focused startup. And having the best minds working on your problem, is the only way to generate category challenging results.

 

With that, I’m extremely excited to announce the appointment of Dr. Stephen Moore as our Chief Scientific Officer.

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Kairos and EmotionReader logos

 

Kairos, a leader in facial recognition technology, is pleased to announce the acquisition of EmotionReader, an Ireland-based startup that uses algorithms to analyze facial expressions around video content.

 

Co-founded by Dr. Stephen Moore and Dr. Padraig O’Leary in 2017. EmotionReader was backed by Enterprise Ireland, one of Europe’s largest VC funds. Dr. Moore, working from his Singapore base, had built an impressive R&D team in the South-East Asian country.

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