KenSci, a Seattle, WA-based Machine Learning and Artificial Intelligence powered, risk prediction platform for healthcare, raised $22m in Series B funding.
The round, which brought total funding to $30.5m, was led by Polaris Partners with participation from all existing investors including Ignition Partners, Osage University Partners, and Mindset Ventures and strategic investor UL Ventures.
The company intends to use the funds to further accelerate the product roadmap and global expansion.
Founded by Prof. Ankur Teredesai, from the University of Washington Tacoma, and Samir Manjure, a longtime Microsoft executive, KenSci provides health systems and and payers with a machine learning risk prediction platform built on Azure ML, SQL to identify clinical, financial and operational risk to save costs.
It ingests data from health sources, such as EMR, Claims, Billings, Pharmacy, Wearable, and Psychosocial data, to identify patterns that help uncover opportunities to save costs. A library of pre-built models and modular solutions allows its ML platform to integrate into existing workflows. With Explainable AI models for healthcare, KenSci is making risk based prediction more efficient and accountable.
The company, which was incubated at University of Washington’s Center for Data Science at UW Tacoma, also has offices in Singapore and Hyderabad.