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Auckland firm acquired by US company

Auckland firm acquired by US company

Optima developed its value proposition at the Ice House incubator, and continued to growth with support from investors such as the Ice Angels and K1W1.

Auckland-based Optima, a provider of predictive analytics and simulation algorithms for a number of industries including emergency services, health care and transportation, has been acquired by Intermedix, a US company focusing on health care and emergency response industries.

The value of the deal was not disclosed.

“Optima has successfully focused on addressing the acute pain points of the emergency services industry for the past 16 years,” said Optima CEO Chris Mackay.

“By joining forces with Intermedix, we will expand our reach in providing evidence-based answers to the complex and challenging questions faced by the industry.”

It is, he said, a good opportunity to showcase New Zealand’s specific technology and innovation skills to a much broader market, far more quickly.

According to the company, Mackay will continue to lead Optima operations as a member of the Intermedix leadership team.

“Optima’s software solutions provide emergency health care delivery agencies with the ideal balance of cost and performance,” said Intermedix president and CEO Doug Shamon.

“Optima’s initiatives align perfectly with the Intermedix mission. We are proud to welcome Optima to the Intermedix family and look forward to further investing in the New Zealand based business.”

The Optima Corporation was founded in 1998 by Auckland University Engineering Science members Professor David Ryan and Dr Andrew Mason together with graduate Dr Paul Day. The business further developed its value proposition at the Ice House incubator, and continued to growth with support from investors such as the Ice Angels and K1W1.

Read more: KIWI STORY: McKesson NZ to add staff and partners

Optima has over 50 implementations in nine countries, and its solutions are used to support more than 5.5 million emergency responses annually.


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