Predictive analytics platform KenSci closes $22M Series B funding round

The new money will be used to accelerate the company's growth and global expansion.
By Laura Lovett
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This morning Seattle-based startup KenSci, maker of a risk prediction platform for healthcare, announced that it has scored $22 million in Series B funding, bringing the company’s total funding to $30.5 million. Polaris Partners led the round, with participation from Osage University Partners and Mindset Ventures. 

What they do

KenSci uses machine learning and artificial intelligence to identify patterns and health risks. It is able to ingest data from multiple sources including EHRs, claims statements, pharmacy history and wearable data. The company said the goal is to improve care and lower its cost. 

KenSci was incubated at the University of Washington in Tacoma before spinning out in 2015. 

What it’s for 

The West Coast startup said that the new money will be put towards accelerating the company’s “roadmap” and to expanding globally. 

Market snapshot

Using data to predict a patient’s risk factors has been a long time ambition in the space. Most recently the US Patent and Trademark Office published a Google patent application that revealed some details on a predictive EHR system. The proposed system can aggregate and store EHRs for a diverse population, while compiling each individual patient’s records into a single chronological document. 

Other companies in the predictive analytics space include Atlanta’s Grady Health System and Lumiata

On the record

“In the last two years, we’ve singularly invested ourselves in building a platform that simplifies the way health systems look at their data and gain actionable, predictive insights to save lives and costs,” Samir Manjure, cofounder and CEO of KenSci, said in a statement. “With this round of funding, we’re excited to take these capabilities to a global stage with partners who complement our capabilities and are committed to helping us drive this transformation across the care continuum.”