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KenSci Secures $22M in Funding for AI-Powered Risk Prediction Platform


The platform uses data to help clinicians save costs and lives.

This image has been modified courtesy of KenSci.

Health data and analytics software startup KenSci today announced the closing of a $22 million Series B funding round.

Funding was led by Polaris Partners with additional investments from existing investors including Ignition Partners, Osage University Partners and Mindset Ventures. The investment will help advance KenSci’s product roadmap and global expansion.

>> READ: Mayo Clinic's Predictive Tool Identifies Risk of Recurring Kidney Stones

KenSci offers a machine learning and artificial intelligence-powered risk prediction platform for healthcare. The platform uses data from health sources such as electronic health records, claims, billings, pharmacy, wearable technology and psychosocial data to identify patterns that can provide insights to help save costs and lives.

“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,” said Samir Manjure, co-founder and CEO of KenSci.

The company also hopes the funding will help it align closer with health systems that help them overcome challenges in variation and hospital operations with data-led predictive insights.

“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,” said Samir Manjure, co-founder and CEO of KenSci.

Founded in 2015 by Ankur Teredesai, a professor from the University of Washington Tacoma, and Manjure, a Microsoft executive, the round of funding brings KenSci’s total to $30.5 million.

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