Balance competing priorities while maintaining a birds-eye view over the member portfolio and procurement network with drill-down capabilities to detect inefficiencies' root causes.
Our team carries out meaningful, cutting-edge research. We apply optimal transport theory and machine learning to create game-changing tools.
We help insurers make better decisions. To achieve this we leverage the experience accumulated by insurance professionals over many years and automate many of the most tedious operations.
Building robust training methods to deal with data that is noisy and heterogenous.
Refining domain adaptation techniques to handle differences between geographies and medical care standards.
Combining external data with inferred metadata to assess individual providers' quality of care.
Conditioning learning on structured expert knowledge to create models that are both accountable and interpretable.